<?xml version="1.0" encoding="UTF-8" standalone="no"?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:blogger="http://schemas.google.com/blogger/2008" xmlns:gd="http://schemas.google.com/g/2005" xmlns:georss="http://www.georss.org/georss" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/" xmlns:thr="http://purl.org/syndication/thread/1.0"><id>tag:blogger.com,1999:blog-6232708057823142819</id><updated>2026-03-06T03:16:49.103-08:00</updated><category term="Revit"/><category term="BIM"/><category term="gelezen"/><category term="IFC"/><category term="tip"/><category term="Dynamo"/><category term="Family"/><category term="slim tekenen"/><category term="NIET BIM"/><category term="Visibility"/><category term="methodiek"/><category term="Mapping"/><category term="BIM Standards"/><category term="Package"/><category term="Parts"/><category term="Python"/><category term="RGD-norm"/><category 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term="CutWithVoidWhenLoaded"/><category term="Cuttable"/><category term="Data-Shapes"/><category term="Delft"/><category term="DeltaPi"/><category term="Detail Group"/><category term="Detail Item line based"/><category term="Divide Parts"/><category term="Elevation View"/><category term="Error"/><category term="Fire compartment"/><category term="Floatingpoint"/><category term="Floor"/><category term="Hardware"/><category term="HeatMap"/><category term="IEEE754"/><category term="INI"/><category term="IPC BIM Protocol"/><category term="ISO"/><category term="ISSO"/><category term="Inventor"/><category term="Is Reference"/><category term="LEED"/><category term="Labs"/><category term="Level"/><category term="Level Type"/><category term="Leveranciers"/><category term="Local File"/><category term="Logo"/><category term="MEP"/><category term="Matchline"/><category term="Mijlpaal"/><category term="Mirrored"/><category term="Model Checker"/><category term="NBS"/><category term="National BIM LIbrary"/><category term="Navigation Wheel"/><category term="Online"/><category term="Panels"/><category term="Perspective"/><category term="Point"/><category term="PuntoRevit"/><category term="Purge"/><category term="Random"/><category term="Rc-waarde"/><category term="Reflected Ceiling Plan"/><category term="Report"/><category term="Revit API"/><category term="Revit Hardware"/><category term="Revit LT"/><category term="Revit Template"/><category term="Revit Warnings"/><category term="Revit's logica"/><category term="Revit2023"/><category term="Revit2026"/><category term="Scale"/><category term="Section"/><category term="Section Box"/><category term="Shaft"/><category term="Sheet"/><category term="Solid"/><category term="SpaceAnalysis"/><category term="Spouwmuur"/><category term="Subcategorie"/><category term="Tekla"/><category term="Title Block"/><category term="Topo"/><category term="Topography"/><category term="Underlay"/><category term="V2.0"/><category term="Verkooptekening"/><category term="Vertical Opening"/><category term="Vico Office"/><category term="Videokaart"/><category term="View Range"/><category term="View Reference"/><category term="Virtueel"/><category term="Wall Wrap"/><category term="WikiHelp"/><category term="Workset"/><category term="Worksharing"/><category term="Worksharing Display"/><category term="aanpassen"/><category term="automatiseren"/><category term="basis"/><category term="beta"/><category term="boek"/><category term="bounding box"/><category term="calculated value"/><category term="calculeren"/><category term="clash control"/><category term="contracten"/><category term="controleren"/><category term="diepte tekenen"/><category term="disclaimer"/><category term="energie analyse"/><category term="gedachtenoefening"/><category term="geometrygym"/><category term="ifcZIP"/><category term="import"/><category term="installatie"/><category term="introductie"/><category term="koppenmaat"/><category term="kozijnmodule"/><category term="leren"/><category term="lijn-arcering"/><category term="modeleerafspraken"/><category term="multiplex"/><category term="naamgeving"/><category term="nieuw"/><category term="parameterisch"/><category term="publicatie 109"/><category term="question"/><category term="rondlopend"/><category term="samenwerken"/><category term="select by ID"/><category term="selecteren"/><category term="spiegelbeeld"/><category term="stand"/><category term="update"/><category term="username"/><category term="vacature"/><category term="verwijderen"/><category term="vlak-arcering"/><category term="vraag"/><category term="warning"/><title type="text">Ik Leer BIM</title><subtitle type="html">Een Blog over BIM en Revit.</subtitle><link href="https://ikleerbim.blogspot.com/feeds/posts/default" rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default" rel="self" 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xmlns:xhtml="http://www.w3.org/1999/xhtml"/><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-4450233418119206945</id><published>2025-07-08T15:06:00.000-07:00</published><updated>2025-07-09T00:52:16.889-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="BIM"/><category scheme="http://www.blogger.com/atom/ns#" term="BIM Basis ILS"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="IFC"/><category scheme="http://www.blogger.com/atom/ns#" term="Mapping"/><category scheme="http://www.blogger.com/atom/ns#" term="NL-RS"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit2026"/><category scheme="http://www.blogger.com/atom/ns#" term="Tool"/><title type="text">Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden -UPDATE REVIT2026- </title><content type="html">Bij deze de 3e grote update van deze tool om een lopend Revit project in 1x grootschalig af te stemmen op eisen uit de &lt;a href="https://www.digigo.nu/ilsen-en-richtlijnen/bim-basis-ils/" target="_blank"&gt;BIM Basis ILS&lt;/a&gt; en &lt;a href="https://www.revitstandards.org/" target="_blank"&gt;Revit Standards&lt;/a&gt;. Al die jaren zijn wij er als RoosRos mee blijven werken en hebben het zo steeds weer iets beter kunnen maken.&amp;nbsp;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;div&gt;&lt;div&gt;De tool werd eerst gedeeld op &lt;a href="https://ikleerbim.blogspot.com/2017/09/tool-om-een-revit-project-af-te-stemmen.html" target="_blank"&gt;30 september 2017&lt;/a&gt;.&amp;nbsp;Een 1e grote wijziging werd gedeeld op &lt;a href="https://ikleerbim.blogspot.com/2018/02/tool-om-een-revit-project-af-te-stemmen.html" target="_blank"&gt;12 februari 2018&lt;/a&gt;. Met enkele verbeteringen en meer toelichting. De 2e grote wijziging werd gedeeld op &lt;a href="https://ikleerbim.blogspot.com/2022/09/tool-om-een-revit-project-af-te-stemmen.html" target="_blank"&gt;13 september 2022&lt;/a&gt;. Die was onder andere afgestemd op de nieuwe IFC parameters van Revit. En nu dus de &lt;a href="https://drive.google.com/file/d/0B27BdK5ykcYhRV9ISHc3WmdBcWs/view?usp=sharing&amp;amp;resourcekey=0-mbG6lF_VlYAiB753z5DFiA" target="_blank"&gt;3e grote wijziging voor Revit 2026&lt;/a&gt;. Deze versie heeft meerdere verbeteringen. En het is afgestemd op Dynamo 3+ met o.a. CPython Nodes.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;div style="text-align: center;"&gt;&lt;i&gt;kijk een kort filmpje wat de tool doet&amp;nbsp;&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/YFSEdXGlHlM" width="320" youtube-src-id="YFSEdXGlHlM"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;h3 style="text-align: left;"&gt;&lt;br /&gt;&lt;/h3&gt;&lt;h3 style="text-align: left;"&gt;In hele grote lijnen zijn de verbeteringen als volgt:&lt;/h3&gt;&lt;div&gt;&lt;ol style="text-align: left;"&gt;&lt;li&gt;IfcName, LoadBearing en IsExternal staan nu standaard aan (mits al aanwezig in je Revit project). En je kan nu makkelijk een parameter 'overslaan' en niet laten aanpassen in Revit door de betreffende parameter in rij 5 te verwijderen. Via de drop-down kan je dit ook weer snel terugzetten als de hele Excel kolom gecontroleerd en akkoord is. &amp;nbsp;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAftPO6QUAtjRtvnMgC4rcaP_VsnI7uzNA3rMA3od4hdF6gsXj0_vGK2dqIPNnxiIM0QSpGpH5hyY7DlYRNWmbZLXFra4T1UcLEIeECF-r-VCHnl5r5q_CWUa5B5DVI42h4apez8S0Jc6TY6_F5Etn2tc4h8aJ0eTXjjQnZbqyeSQ5BTTASkjBe5TL-tz3/s656/250708_BIMstandards_Parameter.png" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="279" data-original-width="656" height="170" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAftPO6QUAtjRtvnMgC4rcaP_VsnI7uzNA3rMA3od4hdF6gsXj0_vGK2dqIPNnxiIM0QSpGpH5hyY7DlYRNWmbZLXFra4T1UcLEIeECF-r-VCHnl5r5q_CWUa5B5DVI42h4apez8S0Jc6TY6_F5Etn2tc4h8aJ0eTXjjQnZbqyeSQ5BTTASkjBe5TL-tz3/w400-h170/250708_BIMstandards_Parameter.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;/li&gt;&lt;li&gt;Er zijn meerdere nieuwe NLRS categorieën toegevoegd op basis van de nieuwe Revit versie.&lt;/li&gt;&lt;li&gt;Niet heel spannend maar er is nu een uitleg en 'afbeelding' aan de scripts toegevoegd voor de Dynamo Player.&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxRm1llAsSWpr3zSbqi8xmUWIEfxc4LUX3XbDwV6YEpu9tgT49dbTVXTckko6qMAPbSN0oLUMbu8BvPk03wyiWyvVOVIIWRBO6qdsUw7ysOqFopbpWxFAro6B6rU2NLjCglAPj6YqZzhvhUVai3W_B4oY8PnyAusuPkJCS6DOalk-4w8Iz92EdaP6bzwpC/s938/250708_BIMstandards_Knop.png" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="651" data-original-width="938" height="278" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxRm1llAsSWpr3zSbqi8xmUWIEfxc4LUX3XbDwV6YEpu9tgT49dbTVXTckko6qMAPbSN0oLUMbu8BvPk03wyiWyvVOVIIWRBO6qdsUw7ysOqFopbpWxFAro6B6rU2NLjCglAPj6YqZzhvhUVai3W_B4oY8PnyAusuPkJCS6DOalk-4w8Iz92EdaP6bzwpC/w400-h278/250708_BIMstandards_Knop.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;/li&gt;&lt;/ol&gt;&lt;h3 style="text-align: left;"&gt;&lt;br /&gt;&lt;/h3&gt;&lt;h3 style="text-align: left;"&gt;In Dynamo en in de workflow zijn enkele grotere aanpassingen nodig geweest:&lt;/h3&gt;&lt;/div&gt;&lt;div&gt;&lt;ol style="text-align: left;"&gt;&lt;li&gt;De Excel Nodes zijn inmiddels niet meer aanwezig in Dynamo 3+. Deze zijn vervangen door XML Nodes. In basis prima. Maar het bleek noodzakelijk om in aparte Excel bestanden te werken. Deze worden automatisch geladen in het Excel invulblad wanneer die geopend wordt.&amp;nbsp;&lt;u&gt;Dit automatisch laden van gegevens in Excel moet dus aan staan of aangezet worden.&lt;/u&gt;&amp;nbsp;&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgy1fiy1GFNdUq3CxyfsoGcc7KYhpU-VY7KBoczQjW2jXqNOJhUZc98xA3gJuf0O1tb2VAoxOZUpd_2rCXSdtAVxwGCA5twFG2NLdKNMRV_VT3MU6ep-acrt8Ssanwbq1ocaYnJHCZerBC2KPotOUn0mDGbxkE44_HCIatjPseXj6Q-J5ia-gUi9ixH1DQm/s642/250630_BIMstandards_Excel.png" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="47" data-original-width="642" height="29" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgy1fiy1GFNdUq3CxyfsoGcc7KYhpU-VY7KBoczQjW2jXqNOJhUZc98xA3gJuf0O1tb2VAoxOZUpd_2rCXSdtAVxwGCA5twFG2NLdKNMRV_VT3MU6ep-acrt8Ssanwbq1ocaYnJHCZerBC2KPotOUn0mDGbxkE44_HCIatjPseXj6Q-J5ia-gUi9ixH1DQm/w400-h29/250630_BIMstandards_Excel.png" title="melding" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;.. en het antwoord is ja&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/li&gt;&lt;li&gt;De XML Nodes openen het bestand niet na wegschrijven. Daar is met Python een toevoeging voor gemaakt. Het zal praktisch niet voorkomen. Maar de XML read node laat de data in Excel niet&amp;nbsp; op de achtergrond inlezen. Dus het is belangrijk dat de Excel eerst wordt opgeslagen en gesloten. Zodat de laatste gegevens daadwerkelijk door de XML node worden geladen. Er gaat niks kapot. Maar het script doet dan gewoon niks. Want voor de XML node is de xlsx leeg. ;-)&lt;/li&gt;&lt;li&gt;In de situatie dat het nodig is om script 02b toe te passen (sla Model Groups over) lijkt het verstandig Revit opnieuw op te starten. Dit komt soms doordat er door Model Groups een te complexe structuur in Revit is ontstaan. Revit kan onderdelen dan niet aanpassen. Doordat het dynamo script wordt afgebroken (je wil geen gesplitste Model Groups)&amp;nbsp; lijken er toch processen open te blijven staan. Met undo, opnieuw opstarten en het runnen van script 02b kan je toch zo veel mogelijk aanpassingen doorvoeren.&lt;/li&gt;&lt;li&gt;Alle Custom Nodes in Dynamo zijn weer nagelopen en in basis geüpdate naar de laatste wijzigingen van de package.&amp;nbsp;Meerdere Nodes uit ClockWork zijn voor het gemak iets veranderd zodat het script niet teveel veranderd hoeft te worden.&amp;nbsp;! De meegeleverde Nodes zijn dus echt nodig en moeten in dezelfde directory worden gezet (waarschijnlijk een aparte dir op je netwerk)&amp;nbsp;Alle Python Nodes zijn nu CPython.&amp;nbsp;&lt;/li&gt;&lt;/ol&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;h3 style="text-align: left;"&gt;&lt;br /&gt;&lt;/h3&gt;&lt;h3 style="text-align: left;"&gt;Als je de tool eens wil uitproberen is het stappenplan als volgt:&lt;/h3&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;ol style="text-align: left;"&gt;&lt;li&gt;Als je deze tool nog nooit hebt gebruikt. Kijk dan eerst eens het bovenstaande korte stoere filmpje&amp;nbsp;om gevoel te krijgen bij het &lt;i&gt;einddoel &lt;/i&gt;van deze tool.&amp;nbsp; En lees vervolgens de laatste &lt;a href="https://ikleerbim.blogspot.com/2022/09/tool-om-een-revit-project-af-te-stemmen.html" target="_blank"&gt;blog &lt;/a&gt;eens door. Er zijn elke keer wel weer verbeteringen geweest die het werken verbeteren. De Excel wordt nu bijvoorbeeld elke keer gekopieerd naar het directory van je project. Het handmatige kopieerwerk van de Excel en in de Excel is daarmee niet meer nodig.&amp;nbsp;&lt;/li&gt;&lt;li&gt;Sla je project op. En zorg dat je eventueel terug kunt naar je eigen oude situatie. Purge vervolgens alles wat niet echt nodig is. Dat vertraagt de boel alleen maar. Tijdens deze workflow mag er &lt;u&gt;niet &lt;/u&gt;in het Revit project gewerkt worden. Een nieuwe of gewijzigde Id blokkeert bewust het aanpassen in Revit.&lt;/li&gt;&lt;li&gt;Download de tool. En unzip alles op een mooie plek. De oude (Dynamo) versies zijn in de zip nog aanwezig. Maar de laatste versie is natuurlijk het meest ver ontwikkeld.&amp;nbsp;&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjFUWe97Pb-33y9wCAwVwtHh3npVkoGD0UPNBuiMrQcvoJUdx3HJK8B0zQDybTFyPb4qbOEW_za34M7BopUb4d8Wvj6e6AQkBtOcbaNEronfRctf3chYTM4j4cBdtBRTH_tqw_kio-FfZghwSBmv2h3oH95xd9hqGsPMwfmWTKk34Dgq1hycuoWJLtvcPzt/s957/250708_BIMstandards_ZIP.png" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="310" data-original-width="957" height="130" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjFUWe97Pb-33y9wCAwVwtHh3npVkoGD0UPNBuiMrQcvoJUdx3HJK8B0zQDybTFyPb4qbOEW_za34M7BopUb4d8Wvj6e6AQkBtOcbaNEronfRctf3chYTM4j4cBdtBRTH_tqw_kio-FfZghwSBmv2h3oH95xd9hqGsPMwfmWTKk34Dgq1hycuoWJLtvcPzt/w400-h130/250708_BIMstandards_ZIP.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;inhoud zip ... versie 3.0 is het meest up to date .. rest als archief&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/li&gt;&lt;li&gt;Run het 1e script van Revit naar Excel. Excel zal uiteindelijk openen. Mogelijk krijg je de vraag of een extern bestand in Excel geladen mag worden. Dat is inderdaad nodig. Als alles geladen is kan je in het groene tabblad wijzigingen gaan voorbereiden. Bij het openen zit je onder in de tabel. En ziet&amp;nbsp; wat toelichtingen per kolom. Scrol dus omhoog om de inhoud uit Revit te zien.&lt;/li&gt;&lt;ol&gt;&lt;li&gt;Werk per kolom -en niet per rij- onderdruk deze neiging, zo werken helpt hier niet.&lt;/li&gt;&lt;li&gt;Begin altijd bij de Assembly Code in kolom S of T. Bijna alles heeft hier een relatie mee. Let op 31.10 en 32.10 zijn openingen en geen kozijnen.&lt;/li&gt;&lt;li&gt;Loop de IFC parameters na, Je zal zien dat er al veel voorstellen zijn gedaan op basis van de NL-SfB en/of de Revit Category. Met drop-down menu's kan je eventueel een alternatief kiezen voor IFC entiteit en enumeration.&lt;/li&gt;&lt;li&gt;Loop snel IsExternal en LoadBearing na. Ook deze volgen de NL-SfB.&lt;/li&gt;&lt;li&gt;Bij de volgende stap moet je een keuze maken. Family Name, Type Name en IfcName kosten simpelweg wat extra tijd. Ik zou dit óf wel óf niet gaan doen. Als je deze niet doet, maak dan de relevante kolomkoppen in rij 5 leeg. Dat voorkomt dat er straks onbedoeld wijzigingen worden doorgevoerd (deze zijn groen aangegeven) Als je deze onderdelen wel wilt aanpassen. Begin dan bij de Family Name. Vervolgens de Type Name. En speel daarbij eens met de getallen in de naast liggende blauwe kolommen. Hiermee kan je de omschrijving langer (+getal) of&amp;nbsp; korter (-getal)&amp;nbsp;maken. IfcName is samengesteld uit de omschrijving van Family of Type gecombineerd met de NL-SfB.&amp;nbsp;&lt;/li&gt;&lt;li&gt;Sla de Excel op. En sluit Excel af.&lt;/li&gt;&lt;/ol&gt;&lt;li&gt;Run vervolgens het 2e script Excel naar Revit. Afhankelijk van hoeveel wijzigingen er worden doorgevoerd (zie AN3 en AN4) en de complexiteit van project zal het korter of langer duren.&amp;nbsp;&lt;/li&gt;&lt;ol&gt;&lt;li&gt;Als je véél met Model Groups én met Shared Nested Families werkt kán het voorkomen dat Revit een wijziging niet zomaar kan doorvoeren. Je krijgt dan de vraag of je de Model Groups wilt ungroupen. Waarschijnlijk is dan het antwoord NEE. Sluit Revit af en sla je project niet op. Start het Revit Project opnieuw. En run het alternatieve script 02b. Alles wat in een Model Group zit zal dan worden overgeslagen.&lt;/li&gt;&lt;li&gt;Alles wat -om redenen- niet is aangepast, maar ook alles wat wel is aangepast, zal gerapporteerd worden. Loop de resultaten en de probleempjes even kort na om te weten wat er is is gebeurd in Revit. Dat verhoogt ook het gevoel bij zo'n tool als dit. Er gebeurd in werkelijkheid niks wat je niet ook handmatig had gekund.&lt;/li&gt;&lt;/ol&gt;&lt;/ol&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;h4 style="text-align: left;"&gt;De nieuwe versie is &lt;a href="https://drive.google.com/file/d/0B27BdK5ykcYhRV9ISHc3WmdBcWs/view?usp=sharing&amp;amp;resourcekey=0-mbG6lF_VlYAiB753z5DFiA" target="_blank"&gt;&lt;i&gt;HIER&lt;/i&gt;&lt;/a&gt; te downloaden of via &lt;a href="https://github.com/Teun1/Tool-om-een-Revit-Project-af-te-stemmen-op-de-Nederlandse-BIM-standaarden" target="_blank"&gt;&lt;i&gt;Github&lt;/i&gt;&lt;/a&gt;.&lt;/h4&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;Sla het project veilig op voor je met dit soort grote scripts aan de gang gaat. Wij werken er ook gewoon mee. Maar als het fout gaat is er wel heel veel fout aangepast. Dit is geen commercieel product met bijbehorende garanties. Zorg dat je zelf een back-up hebt. Geniet en gebruik de tool, maar wel op eigen risico.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;Als er vragen of opmerkingen zijn hoor ik dat natuurlijk graag. Daar hebben we allemaal wat aan! Meerdere mensen zijn je al voor geweest. Tot nu toe was allemaal goed en snel oplosbaar.&lt;/div&gt;&lt;div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;p style="text-align: center;"&gt;Ook namens&amp;nbsp;&lt;a href="https://www.roosros.nl/" rel="nofollow" target="_blank"&gt;RoosRos architecten&lt;/a&gt;&amp;nbsp;veel werkplezier met deze tool!&amp;nbsp;&lt;br /&gt;Een tool voor het werken met de BIM Basis ILS en de Revit Standard.&amp;nbsp;&lt;br /&gt;Bouwen met BIM doe je samen!&lt;/p&gt;&lt;/div&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/4450233418119206945/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/4450233418119206945?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4450233418119206945" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4450233418119206945" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2025/07/tool-om-een-revit-project-af-te-stemmen.html" rel="alternate" title="Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden -UPDATE REVIT2026- " type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/YFSEdXGlHlM/default.jpg" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-2087522598787897130</id><published>2022-10-07T08:10:00.009-07:00</published><updated>2022-10-09T22:50:13.799-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Package"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="RoomsToTopologic"/><title type="text">Custom Dynamo Node - RoomSolidIntersectionByParameterValue</title><content type="html">Vandaag het vervolg op mijn &lt;a href="http://ikleerbim.blogspot.com/2022/09/custom-dynamo-node-roomstosolidrepresen.html" rel="nofollow" target="_blank"&gt;vorige post&lt;/a&gt;. In mijn vorige post vertelde ik over de node RoomsToSolidRepresentation. Het was een lange post. En vandaag gaat het over een toepassing hiervan. Dat kan gelukkig wat korter. Bij deze RoomSolidIntersectionByParameterValue&lt;div&gt;&lt;br&gt;&lt;div&gt;Nadat we een gesloten en betekenisvol analytisch model hebben gegenereerd van een live project -een eerste stap naar een Topological model zeg maar-, kan je beginnen met een paar analyses. Je kan bijvoorbeeld eigenschappen hangen aan de snijvlakken tussen de ruimtes. Denk concreet aan brandscheidingen en bijv. geluideisen. Dit zijn de vakjes 4.5 en 4.6 uit de &lt;a href="https://www.bimloket.nl/bimbasisils" rel="nofollow" target="_blank"&gt;BIM Basis ILS&lt;/a&gt;. Maar er zijn vast meer toepassingen denkbaar. ;-)&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi7HVC_AbunjXAKA3RLX9YGT8v7FEXUaxuNI2MnCWmcj1xK34mfkXrzwXtvWdllV1tAGRrUNSv7JSRSGWZUPQjfuKES4YV76dse-R1kmSnCjN4KUAkU_OOpVnOWj19q2lCjsIR7z0ws0V_Jwp1mQEp6k6hr_v1jUOxRUl0IaI9MlopnFYgVh_RXSo8Xbw/s1254/221007_dyn.png" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="829" data-original-width="1254" height="212" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi7HVC_AbunjXAKA3RLX9YGT8v7FEXUaxuNI2MnCWmcj1xK34mfkXrzwXtvWdllV1tAGRrUNSv7JSRSGWZUPQjfuKES4YV76dse-R1kmSnCjN4KUAkU_OOpVnOWj19q2lCjsIR7z0ws0V_Jwp1mQEp6k6hr_v1jUOxRUl0IaI9MlopnFYgVh_RXSo8Xbw/s320/221007_dyn.png" width="320"&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;span style="text-align: left;"&gt;RoomSolidIntersectionByParameterValue = &lt;/span&gt;dit dus.&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;br&gt;&lt;div&gt;Het hele proces bestaat uit een paar stappen:&lt;/div&gt;&lt;div&gt;&lt;div&gt;&lt;ol style="text-align: left;"&gt;&lt;li&gt;Je gebruikt de Node RoomsToSolidRepresentation, en maakt zo lijsten met Solids en Rooms.&lt;/li&gt;&lt;li&gt;Je kiest een Room parameter als sturing voor de analyse. En koppelt vervolgens de Parameter naam, de Solids en de Rooms aan de Node RoomSolidIntersectionByParameterValue&lt;/li&gt;&lt;li&gt;Open de CSV die de Node gemaakt heeft. En vul de eisen in.&lt;/li&gt;&lt;li&gt;Run het script nogmaals. De Node zal dan de ingevulde waardes van de CSV gebruiken en vlakken en bijbehorende waardes rapporteren&lt;/li&gt;&lt;li&gt;Doe er wat leuks mee! Pas Revit aan: plaats DirectShapes, plaats Families, selecteer Revit objecten en pas eigenschappen aan. Of blijf nog in Dynamo en tweak het gegenereerde. Of exporteer de data, bijv. met de &lt;a href="https://topologic.app/" rel="nofollow" target="_blank"&gt;Topologic &lt;/a&gt;Package. Je kan dan in je eigen software verder. Of gebruik Rhino, Blender of ...&lt;/li&gt;&lt;/ol&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Laten we deze stappen eens stap voor stap nalopen en gebruiken &amp;#39;het Revit huis&amp;#39; als referentie.&lt;/div&gt;&lt;/div&gt;&lt;span&gt;&lt;/span&gt;&lt;/div&gt;&lt;a href="https://ikleerbim.blogspot.com/2022/10/custom-dynamo-node-roomsolidintersectio.html#more"&gt;Meer lezen »&lt;/a&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/2087522598787897130/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/2087522598787897130?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/2087522598787897130" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/2087522598787897130" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2022/10/custom-dynamo-node-roomsolidintersectio.html" rel="alternate" title="Custom Dynamo Node - RoomSolidIntersectionByParameterValue" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi7HVC_AbunjXAKA3RLX9YGT8v7FEXUaxuNI2MnCWmcj1xK34mfkXrzwXtvWdllV1tAGRrUNSv7JSRSGWZUPQjfuKES4YV76dse-R1kmSnCjN4KUAkU_OOpVnOWj19q2lCjsIR7z0ws0V_Jwp1mQEp6k6hr_v1jUOxRUl0IaI9MlopnFYgVh_RXSo8Xbw/s72-c/221007_dyn.png" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-4186349949605926999</id><published>2022-09-30T12:15:00.026-07:00</published><updated>2022-10-05T22:42:38.340-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Package"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="RoomsToTopologic"/><title type="text">Custom Dynamo Node - RoomsToSolidRepresentation</title><content type="html">&lt;div&gt;In mijn IkLeerBIM Dynamo Package zitten enkele Nodes waar ik het over wil hebben. Waarom heb ik ze gemaakt. Wat doen ze. En hoe werken ze. Vandaag &lt;b&gt;&lt;u&gt;RoomsToSolidRepresentation&lt;/u&gt;&lt;/b&gt;.&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;br&gt;&lt;/div&gt;&lt;br&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgKtYbgoG70tQK5mFbRLw3rf6xhp_MBOWZcTADS2oNGzyu30TkPGidApW_ELS5regxRoXt4jjJBzkbPTs-6QVi68dtOuSJugnqL678nHz_g4K1PxZNJbNWUY2bZQcL3ZgFliji80kDpH7E9NLMuTpQyGaIRkE_tRKKynLRGlGRMwDirrh04iZjr2b6UvA/s926/R23_00.png" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="852" data-original-width="926" height="294" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgKtYbgoG70tQK5mFbRLw3rf6xhp_MBOWZcTADS2oNGzyu30TkPGidApW_ELS5regxRoXt4jjJBzkbPTs-6QVi68dtOuSJugnqL678nHz_g4K1PxZNJbNWUY2bZQcL3ZgFliji80kDpH7E9NLMuTpQyGaIRkE_tRKKynLRGlGRMwDirrh04iZjr2b6UvA/s320/R23_00.png" width="320"&gt;&lt;/a&gt;&lt;/div&gt;&lt;br&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Ik ben bezig geweest om met Dynamo een sterk vereenvoudigde representatie te genereren van een gebouw. Dit moet werken in elk stadium van een lopend project. De basis van deze representatie zijn ruimtes. En daarnaast levels die als building storey zijn aangemerkt. Het resultaat is een groep volumes die compleet aaneengesloten een nieuw ‘gebouw’ volume vormen, zonder gaten. &lt;/div&gt;&lt;div&gt;Zo veel mogelijk een Topologic model zeg maar.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;Toepassingen zijn logischerwijs voor allerhande analyses. Hoeveelheden, Energie, daglicht, logistiek etc. Een schematische weergave is in veel gevallen zinnig omdat in een live project vaak te veel en te gedetailleerde informatie zit. Het klinkt een beetje tegenstrijdig. Maar te veel info maakt een snelle analyse vaak traag en soms zelfs onmogelijk. Ik denk dat we in de toekomst soepel heen en weer moeten kunnen van schematisch naar gedetailleerd en terug. En dit proces moet zich meerdere keren kunnen herhalen, voor zover nodig. &lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;In principe is het plug and play. Maar mogelijk krijg je een onverwacht resultaat bij een snelle test. Vandaar een (uitgebreide) toelichting. &#128521;&lt;/div&gt;&lt;span&gt;&lt;/span&gt;&lt;a href="https://ikleerbim.blogspot.com/2022/09/custom-dynamo-node-roomstosolidrepresen.html#more"&gt;Meer lezen »&lt;/a&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/4186349949605926999/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/4186349949605926999?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4186349949605926999" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4186349949605926999" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2022/09/custom-dynamo-node-roomstosolidrepresen.html" rel="alternate" title="Custom Dynamo Node - RoomsToSolidRepresentation" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgKtYbgoG70tQK5mFbRLw3rf6xhp_MBOWZcTADS2oNGzyu30TkPGidApW_ELS5regxRoXt4jjJBzkbPTs-6QVi68dtOuSJugnqL678nHz_g4K1PxZNJbNWUY2bZQcL3ZgFliji80kDpH7E9NLMuTpQyGaIRkE_tRKKynLRGlGRMwDirrh04iZjr2b6UvA/s72-c/R23_00.png" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-2924780964352192285</id><published>2022-09-13T21:40:00.008-07:00</published><updated>2022-09-14T00:30:58.619-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="BIM"/><category scheme="http://www.blogger.com/atom/ns#" term="BIM Basis ILS"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="IFC"/><category scheme="http://www.blogger.com/atom/ns#" term="Mapping"/><category scheme="http://www.blogger.com/atom/ns#" term="NL-RS"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit2023"/><category scheme="http://www.blogger.com/atom/ns#" term="Tool"/><title type="text">Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden -UPDATE REVIT2023- </title><content type="html">&lt;h3 style="text-align: left;"&gt;&lt;span style="font-family: times;"&gt;5 Jaar! &#129395;&lt;/span&gt;&lt;/h3&gt;&lt;div&gt;&lt;a href="http://ikleerbim.blogspot.com/2017/09/tool-om-een-revit-project-af-te-stemmen.html" rel="nofollow" target="_blank"&gt;5 Jaar geleden&lt;/a&gt; publiceerde ik namens &lt;a href="https://www.roosros.nl/" rel="nofollow" target="_blank"&gt;RoosRos architecten&lt;/a&gt; een tool om een Revit project sneller en efficiënter af te stemmen op enkele BIM standaarden.&amp;nbsp;&lt;/div&gt;&lt;div&gt;&lt;a href="https://www.revitstandards.org/nl/" rel="nofollow" target="_blank"&gt;De Revit Standards&lt;/a&gt;. En natuurlijk de &lt;a href="https://www.bimloket.nl/bimbasisils" rel="nofollow" target="_blank"&gt;BIM Basis ILS&lt;/a&gt;.&amp;nbsp;&lt;/div&gt;&lt;div&gt;In de laatste 5 jaar zijn er meerdere &lt;a href="http://ikleerbim.blogspot.com/2018/02/tool-om-een-revit-project-af-te-stemmen.html" rel="nofollow" target="_blank"&gt;grote en kleine updates&lt;/a&gt; doorgevoerd. Als ik Google Drive mag geloven wel 21 versies. Maar nu met &lt;u&gt;Revit 2023&lt;/u&gt; moest er een grotere wijziging worden doorgevoerd, omdat Revit de belangrijkste IFC mapping parameters heeft veranderd, vereenvoudigd en verbeterd.&amp;nbsp;&lt;/div&gt;&lt;div&gt;Fijn!&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;i&gt;kijk een kort filmpje wat de tool doet&amp;nbsp;&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/YFSEdXGlHlM" width="320" youtube-src-id="YFSEdXGlHlM"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;i&gt;&lt;br /&gt;&lt;/i&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;i&gt;zie het introductiefilmpje van Autodesk&amp;nbsp;&amp;nbsp;&lt;/i&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/fwEHCCv6UmI" width="320" youtube-src-id="fwEHCCv6UmI"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;h4 style="text-align: left;"&gt;Wat zijn die IFC veranderingen in Revit 2023 nou in detail? En wat is het nut van het updaten van die BIM standaard tool?&lt;/h4&gt;&lt;div&gt;Zoals je in het filmpje kan zien heeft Revit 3 extra Instance en 3 extra Type parameters gekregen. Die parameters zorgen voor de mapping tussen Revit en IFC. Deze nieuwe BuiltIn parameters worden met met een apart menu of dropdown gevuld. En zijn niet als tekst aan te passen in Revit. Zo voorkomen we tiepfouten. Het updaten van oude projecten naar Revit 2023 ging bij ons ... automatisch en vooralsnog prima.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Dat zo'n mapping tussen Revit en IFC een dingetje is, komt omdat de structuur van Revit en IFC niet 1 op 1 is. Niet elke Revit Wall is een IfcWall, en niet elke Generic Model wil je als IfcBuildingElementProxy in een IFC zien, etc.&amp;nbsp;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Hoe bepaal je dan wat die Revit Wall of Generic Wall wel zou moeten zijn? &lt;u&gt;Daar helpt die BIM Standard tool dus wat mee.&lt;/u&gt; In de eerste plaats door een suggestie te geven&amp;nbsp; op basis van de Revit Categorie. Een Wall is vaak wel degelijk een IfcWall. Maar in combinatie met de NL-SfB code die je opgeeft, zal er eventueel een alternatieve suggestie worden gegeven. Twijfel je nog steeds. Dan kan je door op de hyperlink te klikken (&lt;a href="https://standards.buildingsmart.org/IFC/RELEASE/IFC4/ADD2_TC1/HTML/" rel="nofollow" target="_blank"&gt;&amp;gt;&amp;gt;&lt;/a&gt;), direct naar de IFC website van BuildingSmart. Daar wordt uitgelegd waar elke IFC entiteit of Enummeration Type voor bedoeld is.&amp;nbsp;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Maar de NL-SfB geeft ook aanleiding voor de Function parameter. Dit is de BuiltIn parameter die binnen Revit aangeeft, of een wand of kozijn, bijvoorbeeld binnen of buiten is. En daarnaast komen de 1e 2 cijfers uit de NL-SfB ook terug in de naam van objecten in Revit. Deze benaming komt vaak terug in een IFC. (Al hoeft dat niet persé)&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Het moge duidelijk zijn, dat deze tool er voor zorgt, dat er samenhangende informatie ontstaat. Dit is noodzakelijk als je ook maar &lt;i&gt;iets &lt;/i&gt;met data wilt doen (en machine learning niet in je skillset hebt) En een computer is simpelweg beter in structuur, dan goedwillende mensen die alles handmatig doen. Ook helpen ingebouwde suggesties, om spelenderwijs, de mapping steeds nauwkeuriger te maken.&amp;nbsp;&lt;/div&gt;&lt;div&gt;We zijn als jonge kinderen allemaal begonnen met het uitspreken van een paar woordjes. En wat waren onze ouders trots! Spelenderwijs leren mensen steeds meer woorden, om beter te zeggen wat we bedoelen. Professioneel is dat niet heel anders. Steeds een stapje vooruit.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;h4 style="text-align: left;"&gt;Testen of gebruiken?&lt;/h4&gt;&lt;div&gt;Wil je eens testen wat er bij het updaten naar een Revit 2023 project nou precies gebeurd? Download dan het eenvoudige &lt;a href="https://drive.google.com/file/d/1E7fV84dc7J7LIJs3hI6HOmHCtV6VD4c7/view?usp=sharing" rel="nofollow" target="_blank"&gt;voorbeeld bestand &lt;/a&gt;met een paar objecten erin. Deze hebben de verschillende voorkomende oude mapping instellingen. Je kan dit bestand ook gebruiken om de BIM standard tool eens zorgeloos te ‘gebruiken’.&amp;nbsp;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Zin om ook de tool een keer te proberen?&lt;/div&gt;&lt;div&gt;Download dan &lt;a href="https://drive.google.com/file/d/0B27BdK5ykcYhRV9ISHc3WmdBcWs/view?usp=sharing&amp;amp;resourcekey=0-mbG6lF_VlYAiB753z5DFiA" rel="nofollow" target="_blank"&gt;hier &lt;/a&gt;of via &lt;a href="https://github.com/Teun1/Tool-om-een-Revit-Project-af-te-stemmen-op-de-Nederlandse-BIM-standaarden" rel="nofollow" target="_blank"&gt;Github &lt;/a&gt;de laatste versie. Je kan de scripts gebruiken uit de map die matched met je eigen Dynamo versie. Voor Revit 2023 is dat op dit moment Dynamo2.13.&amp;nbsp; Kijk zeker het &lt;a href="https://youtu.be/3KH1NsXcWgA" rel="nofollow" target="_blank"&gt;uitgebreide filmpje&lt;/a&gt; waar ik door de BIM standaard tool heenloop. Ondanks dat sommige details door de jaren heen iets verbeterd zijn, geeft het een goed beeld van hoe de tool werkt.&amp;nbsp;&lt;/div&gt;&lt;div&gt;Hieronder een paar belangrijke punten vooraf:&lt;/div&gt;&lt;div&gt;&lt;ul style="text-align: left;"&gt;&lt;li&gt;Het gebruik van de tool is helemaal vrij, maar wel op eigen risico. Ik moet dit voor de duidelijkheid wel zeggen. Maar bij RoosRos gebruiken we de tool ook gewoon om projecten op een iets hoger niveau te krijgen.&lt;/li&gt;&lt;li&gt;Synchroniseer altijd eerst voor je gebruik maakt van een Dynamo Script.&lt;/li&gt;&lt;li&gt;Voorkom dat je in Excel verder werkt met handmatige aanpassingen die de vorige keer gemaakt zijn. Reset het Excel document na een import, door in de Sheet Dynamo_Read, 1 van de 2 onderste rijen over het hele invulveld &lt;u&gt;tot &lt;/u&gt;de gele headers heen te kopiëren. Dat reset alle input, opmaak en formules van je invulveld.&lt;/li&gt;&lt;li&gt;Het doorlopen van meerdere eigenschappen van alle Types in je Revit project kost simpelweg tijd. Afhankelijk van je ervaring en de grote van het project kan het zomaar een aantal uur kosten. (het minimale Revit 2023 &lt;a href="https://drive.google.com/file/d/1E7fV84dc7J7LIJs3hI6HOmHCtV6VD4c7/view?usp=sharing" rel="nofollow" target="_blank"&gt;voorbeeld bestandje&lt;/a&gt; is natuurlijk wel razendsnel)&lt;/li&gt;&lt;ul&gt;&lt;li&gt;Kies dus een rustig moment en doorloop alle handelingen voor je verder werkt in Revit. Als Revit wordt aangepast -voordat alle wijzigingen zijn terug geschreven- wordt het import script mogelijk afgebroken. En moet je daaarom veel dingen opnieuw doen. :-(&lt;/li&gt;&lt;li&gt;Kom je erachter dat je niet alles wilt doen. Of heb je niet voldoende tijd. Wees gerust, je kan best delen overslaan. Gooi dan de invulvelden leeg van de onderdelen waar je niet bewust naar gekeken hebt. Daarmee voorkom je, dat alle suggesties die Excel automatisch doet, worden overgenomen in Revit. Heel praktisch: verwijder de formules voor het aanpassen van de Family of Type benaming, en concentreer al je aandacht op de Assembly Code. Loop dan snel de IFC mapping na en synchroniseer de resultaten terug. Een volgende keer kan je de benaming wel doen.&lt;/li&gt;&lt;/ul&gt;&lt;li&gt;Werk van &lt;u&gt;boven naar beneden&lt;/u&gt;.. En &lt;u&gt;begin bij de Assembly Code&lt;/u&gt;. Check daarna snel de IFC mapping. Let daarbij vooral op IfcOpening (=31.10 en 32.10) en IfcSite. IfcOpening alleen gebruiken als er geen zichtbare Geometry aanwezig is – dus nooit bij kozijnen. Maar ook niet per definitie bij een sparingmaker. Beperk de IfcSite mapping zoveel mogelijk tot de Toposurface. En eventueel een 0-punt object. Gebruik IfcSite niet bij vrachtwagens, of inrichting ofzo. En liever ook niet bij een Floor die een lastige Toposurface moet vervangen. (rule of thumb)&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;blockquote style="border: none; margin: 0px 0px 0px 40px; padding: 0px;"&gt;&lt;div style="text-align: left;"&gt;Als je dit gedaan hebt loop dan nog sneller de Function en eventueel de Manufacturer na.Gebruik de rest van de tijd om Family en Type benaming na te lopen. Gebruik ‘de blauwe kolommen’ om meer of juist minder karakters uit de oude benaming over te nemen.&lt;/div&gt;&lt;/blockquote&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div&gt;Als er vragen of opmerkingen zijn hoor ik dat natuurlijk graag. Daar hebben we allemaal wat aan! Meerdere mensen zijn je al voor geweest. Tot nu toe was allemaal goed en snel oplosbaar.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;p style="text-align: center;"&gt;Ook namens &lt;a href="https://www.roosros.nl/" rel="nofollow" target="_blank"&gt;RoosRos architecten&lt;/a&gt; veel werkplezier met deze tool!&amp;nbsp;&lt;br /&gt;Een tool voor het werken met de BIM Basis ILS en de Revit Standard.&amp;nbsp;&lt;br /&gt;Bouwen met BIM doe je samen!&lt;/p&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/2924780964352192285/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/2924780964352192285?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/2924780964352192285" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/2924780964352192285" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2022/09/tool-om-een-revit-project-af-te-stemmen.html" rel="alternate" title="Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden -UPDATE REVIT2023- " type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/YFSEdXGlHlM/default.jpg" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-7366705567239849698</id><published>2020-10-22T10:41:00.001-07:00</published><updated>2020-10-22T10:58:30.966-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="API"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Package"/><category scheme="http://www.blogger.com/atom/ns#" term="Python"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Update IkLeerBIM Dynamo Package</title><content type="html">The IkLeerBIM Dynamo package has just been updated.&lt;div&gt;&lt;i&gt;&lt;br /&gt;&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;more methods, more arguments,&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;ready for Revit 2021,&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;and what about sandbox and other software.&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;i&gt;&lt;br /&gt;&lt;/i&gt;&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLsU_bgZuwDG6-V_BXArJ5qlNbqlBSpjF0G0VsS31uv5vgCntyA8fC5R6ZL1itq0iMJFxMHFgCXVdOM61WZx96zPtV7w3iBIN3YvXYEtlgw143V_juf6aC2IxiiDtQosp4Lktnw2C6G6py/s1308/201020_workspace.png" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="1116" data-original-width="1308" height="341" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLsU_bgZuwDG6-V_BXArJ5qlNbqlBSpjF0G0VsS31uv5vgCntyA8fC5R6ZL1itq0iMJFxMHFgCXVdOM61WZx96zPtV7w3iBIN3YvXYEtlgw143V_juf6aC2IxiiDtQosp4Lktnw2C6G6py/w400-h341/201020_workspace.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;A few things have improved or changed:&lt;/div&gt;&lt;div&gt;&lt;ul style="text-align: left;"&gt;&lt;li&gt;Some Python 'build in functions' did not show up as a method. This error is fixed.&lt;/li&gt;&lt;li&gt;The Revit API 2021 has deprecated the displayUnitType in Revit 2021. So based on the Revit version the script uses displayUnitType or ForgeTypeId.&lt;/li&gt;&lt;li&gt;The LookUp node and MethodLookUp node should also work in Dynamo Sandbox or other software. So the UnwrapElement and the loading of some libraries are made conditional.&lt;/li&gt;&lt;li&gt;&lt;span&gt;The MethodLookUp node now also can deal with 'overloads'.&amp;nbsp;&lt;/span&gt;Cases were more than 1 argument series for a method is possible in the API.&lt;/li&gt;&lt;li&gt;&lt;span&gt;The Example.dyn file in the Extra directory is also updated to the new functionality.&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;/div&gt;&lt;div&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;Thanks Laurin Ernst, for the feedback!&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;Older posts about this Dynamo Package:&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;span&gt;&lt;a href="https://ikleerbim.blogspot.com/2020/04/first-release-ikleerbim-dynamo-api_15.html" target="_blank"&gt;First release IkLeerBIM Dynamo API helper (micro) Package&lt;/a&gt;&amp;nbsp;/ 15-04-2020&lt;/span&gt;&lt;/div&gt;&lt;div&gt;&lt;a href="https://ikleerbim.blogspot.com/2020/05/update-ikleerbim-dynamo-package.html" target="_blank"&gt;Update IkLeerBIM Dynamo Package&lt;/a&gt;&amp;nbsp;/ 05-05-2020&lt;/div&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/7366705567239849698/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/7366705567239849698?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/7366705567239849698" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/7366705567239849698" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2020/10/update-ikleerbim-dynamo-package.html" rel="alternate" title="Update IkLeerBIM Dynamo Package" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLsU_bgZuwDG6-V_BXArJ5qlNbqlBSpjF0G0VsS31uv5vgCntyA8fC5R6ZL1itq0iMJFxMHFgCXVdOM61WZx96zPtV7w3iBIN3YvXYEtlgw143V_juf6aC2IxiiDtQosp4Lktnw2C6G6py/s72-w400-h341-c/201020_workspace.png" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-8170437648983938080</id><published>2020-09-11T08:26:00.000-07:00</published><updated>2020-09-11T08:26:00.412-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="download"/><category scheme="http://www.blogger.com/atom/ns#" term="IFC"/><title type="text">IFC: You don't know what you don't know - Until you do..</title><content type="html">&lt;div&gt;Johan Cruijff zou aan die uitspraak nog een puntje kunnen zuigen ;-) Maar voordat de ene helft van de lezers weer doorklikt en de andere helft zich ongemakkelijk gaat voelen de echte vraag. Weet je 'voldoende' over IFC? Want veel van ons werken wel met IFC: we maken IFC bestanden, we gebruiken IFC bestanden en sommigen praten alleen maar over IFC. Maar weten we eigenlijk wel voldoende? En als je een vraag hebt wat doe je dan?&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzBXXttGTg90-nN3VFUdX8fUYcZj_8_rM8MPJaF9HLg6ihnd1ctoCKN_tOO1ITfDIIKc0P8xnWBzN17J_i9cNIGhOLXuT0QQr9LnKZGYuRtCUomJPD3tdgB6okaKg8yXhQ6ZBcR8MiSFPt/s1304/200911_IFC_structuur.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="860" data-original-width="1304" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzBXXttGTg90-nN3VFUdX8fUYcZj_8_rM8MPJaF9HLg6ihnd1ctoCKN_tOO1ITfDIIKc0P8xnWBzN17J_i9cNIGhOLXuT0QQr9LnKZGYuRtCUomJPD3tdgB6okaKg8yXhQ6ZBcR8MiSFPt/s320/200911_IFC_structuur.png" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;div&gt;Vandaag heb ik een oud Excel bestand eens opgepoetst om (weer) te delen met jullie. Op 24 november 2014 deelde ik op mijn blog IkLeerBIM een eerste tool om de mapping tussen Revit en IFC wat beter in de vingers te krijgen. Inhoudelijk zou ik deze tool niet meer aanraden en verwijs ik liever naar de &lt;a href="https://www.revitstandards.org/nl/" rel="nofollow" target="_blank"&gt;Revit Standards&lt;/a&gt;. Maar wat ik nog steeds waardeer, is dat het me hielp, om de de structuur, mogelijkheden en beperkingen die IFC heeft, iets beter te leren kennen. Ik gebruikte daar 1 sheet voor, die IFC structuur heette. Het was best leuk om daar wat mee te spelen. En af en toe de hyperlinks naar de BuildingSmart documentatie te gebruiken. Daar vind je meer info en achtergronden. Behalve dan de belangrijke relatie met een &lt;a href="https://technical.buildingsmart.org/standards/ifc/mvd/mvd-database/" rel="nofollow" target="_blank"&gt;MVD&lt;/a&gt; natuurlijk.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;De inhoud is nog gebaseerd op IFC4 (4.0.0.0) En inmiddels zijn we al wat &lt;a href="https://technical.buildingsmart.org/standards/ifc/ifc-schema-specifications/" rel="nofollow" target="_blank"&gt;verder&lt;/a&gt;. Daarom heb ik de hyperlinks laten verwijzen naar IFC4 ADD2 TC1 (4.0.2.1) Na het volgen van een hyperlink kan je dan verder lezen over de huidige stand. Sommige zaken zijn in IFC4 nieuw toegevoegd en nu inmiddels al weer 'DEPRECATED'. En gaan zo langzamerhand over de houdbaarheidsdatum heen.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Misschien is &lt;a href="https://drive.google.com/file/d/1FmagCRR-B4mOTlFm0ryzDWeVMG9Ro8ba/view" rel="nofollow" target="_blank"&gt;deze download&lt;/a&gt; voor jou ook wel een leuk startpunt. Om spelenderwijs te leren, te klikken en te lezen in de BuildingSmart documentatie. Ontdek jij ook nieuwe benamingen die je nog nooit hebt gebuikt? Ontdek jij ook nieuwe plekken waar specifieke informatie eigenlijk hoort te staan? Ontdek jij misschien zaken die inmiddels al achterhaald zijn? En voordat we weer helemaal de andere kant doorschieten, check ook even de &lt;a href="https://technical.buildingsmart.org/services/certification/ifc-certification-participants/" rel="nofollow" target="_blank"&gt;certificering&lt;/a&gt;.&lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Ik ben benieuwd.&lt;/div&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/8170437648983938080/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/8170437648983938080?isPopup=true" rel="replies" title="1 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8170437648983938080" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8170437648983938080" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2020/09/ifc-you-dont-know-what-you-dont-know.html" rel="alternate" title="IFC: You don't know what you don't know - Until you do.." type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzBXXttGTg90-nN3VFUdX8fUYcZj_8_rM8MPJaF9HLg6ihnd1ctoCKN_tOO1ITfDIIKc0P8xnWBzN17J_i9cNIGhOLXuT0QQr9LnKZGYuRtCUomJPD3tdgB6okaKg8yXhQ6ZBcR8MiSFPt/s72-c/200911_IFC_structuur.png" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-1914227981792614942</id><published>2020-09-04T04:13:00.000-07:00</published><updated>2020-09-04T04:13:45.090-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="BIM"/><category scheme="http://www.blogger.com/atom/ns#" term="IFC"/><category scheme="http://www.blogger.com/atom/ns#" term="Parts"/><category scheme="http://www.blogger.com/atom/ns#" term="Python"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Spouwmuur"/><title type="text">Spouwmuren in BIM</title><content type="html">&lt;p&gt;&lt;a href="https://www.linkedin.com/pulse/spouwmuren-bim-teun-de-vries" rel="nofollow" target="_blank"&gt;- zie ook mijn artikel op LinkedIn-&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Graag hoor ik jullie mening over het volgende, maar voel je niet verplicht. &#128521;&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Mijn vraag gaat over het zo goed mogelijk modelleren van een spouwmuur in Revit en het exporteren naar IFC.&lt;/p&gt;&lt;p&gt;Alles
 los modelleren kan natuurlijk altijd. Maar het kost stomweg meer tijd 
om te maken laat staan te onderhouden. En je kan die tijd ook besteden 
aan extra details bijvoorbeeld. Hierbij een klein onderzoekje of een 
gelijkwaardige kwaliteit ook op een snellere manier gemaakt kan worden, 
in Revit en met behulp van Parts. Zelf ben ik geen ‘gebruiker’ van de 
IFC data, dus of het functioneel gelijkwaardig is in andere toepassingen
 kan ik slecht zelf beoordelen, vandaar mijn vraag.&lt;/p&gt;&lt;ol&gt;&lt;li&gt;Welke van onderstaande 3 opties is voor jou gebruik gelijkwaardig aan het ‘los modelleren’ van een spouwmuur?&lt;/li&gt;&lt;li&gt;En als geen van onderstaande gelijkwaardig is, welke komt dan het dichtste in de buurt. Waarom?&lt;/li&gt;&lt;li&gt;Levert dit onderzoekje nieuwe inzichten op – of is het toch beter om ‘los’ te modelleren en de extra kosten voor lief te nemen.&lt;/li&gt;&lt;/ol&gt;&lt;p&gt;&amp;nbsp;&lt;em&gt;p.s.
 Ik zag achteraf dat sommige data van de wand niet correct bleek te zijn
 |-(&amp;nbsp;&amp;nbsp;&lt;/em&gt;&lt;em&gt;Maar voor het principe maakt het niet veel uit. Dus ik heb het even
 zo gelaten.&lt;/em&gt;&lt;/p&gt;&lt;hr /&gt;&lt;h3&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;1.&lt;/h3&gt;&lt;p&gt;Hieronder de basisuitvoering van een samengestelde wand in IFC.&lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQFE3oODbUZbTg/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=aAadXZo_9EVRvqEwiCqCOm_5cW7KV_LZsz4kEvtAsFc" data-media-urn="" height="408" src="https://media-exp1.licdn.com/dms/image/C5612AQFE3oODbUZbTg/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=aAadXZo_9EVRvqEwiCqCOm_5cW7KV_LZsz4kEvtAsFc" width="640" /&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;Visueel
 zijn er geen losse bladen zichtbaar. Wel zit er onder de Material-tab 
een lijstje met materialen waar de spouwmuur uit is opgebouwd inclusief 
dikte.&lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQE6LAytlZZLhA/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=LhtfSPmLlbghT8GRrZotE8lcKdy4Nqzgq462DdUWQl0" data-media-urn="" height="408" src="https://media-exp1.licdn.com/dms/image/C5612AQE6LAytlZZLhA/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=LhtfSPmLlbghT8GRrZotE8lcKdy4Nqzgq462DdUWQl0" width="640" /&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;h3&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;2.&lt;/h3&gt;&lt;p&gt;Hieronder
 een basis uitvoering met Parts in het bronbestand. En als IfcParts in 
de IFC. Het eerste wat opvalt is dat we nu echt de spouwbladen en 
materialen herkennen. En daarnaast dat de basiswand nog steeds aanwezig 
is. Deze bevat nog steeds alle oude data, behalve de Materialen Tab en 
de Material Property. In plaats daarvan zijn de bladen als Building 
Element Part aanwezig.&lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQHm9g31kwUY8w/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=hN32etDpXv4vja0q5i5zAuEn2gsNi34BX_fKv7XbzeA" data-media-urn="" height="408" src="https://media-exp1.licdn.com/dms/image/C5612AQHm9g31kwUY8w/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=hN32etDpXv4vja0q5i5zAuEn2gsNi34BX_fKv7XbzeA" width="640" /&gt;&lt;/div&gt;&lt;p&gt;Parts
 missen standaard heel veel data. Maar die data is best toe te voegen 
met IFC parameters in Revit. En dat levert het volgende op. &lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQG6dQjBqp5LUg/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=1txzHXUh8AhoXY3WxuVkliL3guJdGa095r7x4kSQ6jc" data-media-urn="" height="408" src="https://media-exp1.licdn.com/dms/image/C5612AQG6dQjBqp5LUg/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=1txzHXUh8AhoXY3WxuVkliL3guJdGa095r7x4kSQ6jc" width="640" /&gt;&lt;/div&gt;&lt;p&gt;Er
 zijn veel Properties gevuld. Maar FireRating, Load Bearing, Is 
External, Classification ontbreken. Die zijn ‘natuurlijk’ hetzelfde als 
het IfcObject waar de IfcPart deel van uit maakt. Veel Quantities lijken
 te ontbreken in Solibri. Solibri rapporteert alleen de Inhoud en de 
BoundingBox. Het host object heeft natuurlijk wel gewoon een lengte, 
hoogte en verschillende oppervlaktes in Solibri.&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;h3&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;3.&lt;/h3&gt;&lt;p&gt;Maar je kan de met extra data gevulde Parts ook exporteren als eigen IFC objecten, zie hieronder.&lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQHAxxn5I0hxaw/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=ib2mOhwAGNBtXmXR80lktbY45Z9YfShtSI8Obt95rc8" data-media-urn="" height="408" src="https://media-exp1.licdn.com/dms/image/C5612AQHAxxn5I0hxaw/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=ib2mOhwAGNBtXmXR80lktbY45Z9YfShtSI8Obt95rc8" width="640" /&gt;&lt;/div&gt;&lt;p&gt;De
 oorspronkelijke host ontbreekt dan wel. En in plaats daarvan zitten er 
alleen 2 IfcWalls in het model. Deze bevatten alle Properties die horen 
bij een IfcWall. (inclusief de gevulde Pset_WallCommon) Eventueel kan je
 nu ook de spouw filteren zodat deze niet meegaat in de IFC. Wat 
ontbreekt is de ‘BaseQuantities’ tab. Maar Solibri geeft wel gewoon zijn
 eigen Quantities. (Eventueel zou je extra Quantities uit het 
bronbestand mee moeten kunnen sturen.) Wat Solibri niet meer kan is de 
Area van openingen opgeven. Een eventuele IfcOpening ontbreekt ook echt.
 En er is dus ook geen relatie tussen bijvoorbeeld een kozijn en de wand
 waar deze in zit. Maar is dat nodig?&lt;/p&gt;&lt;p&gt;&amp;nbsp;Het enige verschil in de IFC export zit in het aanvinken van ‘Advanced \ Export parts as building elements’&lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQGoGZDNW_VVvA/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=BZgHyvVk1ez-82Sv0hkvy-16iOpF1JBamFrp8by3f3k" data-media-urn="" height="325" src="https://media-exp1.licdn.com/dms/image/C5612AQGoGZDNW_VVvA/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=BZgHyvVk1ez-82Sv0hkvy-16iOpF1JBamFrp8by3f3k" width="640" /&gt;&lt;/div&gt;&lt;p&gt;Wat
 verder opvalt is de IfcName van de IfcWalls in de browserstructuur. 
Deze is met behulp van de IFC override parameter IfcName bepaald. En 
automatisch ingevuld met een script. Het is vrij eenvoudig om dit 
bijvoorbeeld terug te brengen tot alleen het materiaal. Bijvoorbeeld om 
de sortering in de IFC browser te vereenvoudigen.&lt;/p&gt;&lt;div class="slate-resizable-image-embed slate-image-embed__resize-full-width"&gt;&lt;img alt="Geen alternatieve tekst opgegeven voor deze afbeelding" data-li-src="https://media-exp1.licdn.com/dms/image/C5612AQEeEN9u5NPpxQ/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=v6MJOSJOFKC_avbf156UQ0C8X2BQEsw1wG1qkYPFWPk" data-media-urn="" height="371" src="https://media-exp1.licdn.com/dms/image/C5612AQEeEN9u5NPpxQ/article-inline_image-shrink_1000_1488/0?e=1604534400&amp;amp;v=beta&amp;amp;t=v6MJOSJOFKC_avbf156UQ0C8X2BQEsw1wG1qkYPFWPk" width="640" /&gt;&lt;/div&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;h3&gt;Resume:&lt;/h3&gt;&lt;p&gt;Voor
 een modellerende partij is het vaak handig om -tot op zekere hoogte- 
met samengestelde objecten te werken. Door het maken van Parts en deze 
(geautomatiseerd) van extra IFC data te voorzien kan er direct een IFC 
worden gemaakt met losse objecten. Of juist als IfcPart onderdeel van 
een host. De laatste 2 opties hebben hun eigen specifieke voor en 
nadelen.&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;voor meer info:&lt;/p&gt;&lt;p&gt;&lt;a href="https://github.com/Autodesk/revit-ifc/issues/120" rel="nofollow noopener" target="_blank"&gt;https://github.com/Autodesk/revit-ifc/issues/120&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="https://github.com/Teun1/Revit-Parts-to-IFC" rel="nofollow noopener" target="_blank"&gt;https://github.com/Teun1/Revit-Parts-to-IFC&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://shorturl.at/fgwCX" rel="nofollow noopener" target="_blank"&gt;Voorbeeld bestanden&lt;/a&gt;&lt;/p&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/1914227981792614942/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/1914227981792614942?isPopup=true" rel="replies" title="1 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/1914227981792614942" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/1914227981792614942" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2020/09/spouwmuren-in-bim.html" rel="alternate" title="Spouwmuren in BIM" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-6936352138113254653</id><published>2020-05-05T08:32:00.000-07:00</published><updated>2020-05-05T08:38:04.715-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="API"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Package"/><category scheme="http://www.blogger.com/atom/ns#" term="Python"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Update IkLeerBIM Dynamo Package</title><content type="html">&lt;div class="separator" style="clear: both; text-align: left;"&gt;
Just added 2 extra nodes: API.MethodLookUp and&amp;nbsp;API.FilterScriptGenerator.&lt;/div&gt;
And in the extra directory is also an example.dyn file for a Quick start.&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzCWYtcGvMs7Kmgn0GAn9fgXtFs93zxeWk6Y3EvIGvNifodtJsDdOOa5sfrbPoICsVPAAvr_RthoWDj3eqOQJSdKNcSWxQnEnBSiTaNwVKFekxxW8Qm9w89tWD69UNf_W6QYJVG-4jkYde/s1600/200505_IkLeerBIM_Package.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="762" data-original-width="1277" height="237" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzCWYtcGvMs7Kmgn0GAn9fgXtFs93zxeWk6Y3EvIGvNifodtJsDdOOa5sfrbPoICsVPAAvr_RthoWDj3eqOQJSdKNcSWxQnEnBSiTaNwVKFekxxW8Qm9w89tWD69UNf_W6QYJVG-4jkYde/s400/200505_IkLeerBIM_Package.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;i&gt;The whole goal of this Package is to help people who are already familiar with Dynamo. And understand how to make a for loop in Python. So they can find their way with the (Revit) API as comfortable as possible. You can search the internet later. Most Dynamo users will come to this point where they need to build just a little Python script because there is no Node available. Or they need to speed up a Dynamo script just a little.&lt;/i&gt;&lt;br /&gt;
&lt;br /&gt;
To do this I needed to add 2 more Nodes:&lt;br /&gt;
&lt;br /&gt;
&lt;h3&gt;
API.FilterScriptGenerator&amp;nbsp;&lt;/h3&gt;
Will help you with your second problem: "How to grab elements from the Revit Database?" You can use the Dynamo Nodes off course. But can you do without? Now you can. And very easy. This Node will generate a complete Python Script. Copy this to clipboard, with a Node from Clockwork or Rhythm. Paste it in a Python Node. And tweak it to your needs.&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhbunmBLYRv2HBim1b8KG85jne4WvIdWZkAIHecc656Kpj9_cUxzBAIEjRwm9PaHQk7SaQjpDZAf70um_qBNUzaHPA6OlHx14mMTxUV2QjPQ8Awx9gc7xKvCgYd_YDxFVHwqALy-CHROvK-/s1600/200505_IkLeerBIM_FilterScriptGenerator.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="527" data-original-width="1384" height="121" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhbunmBLYRv2HBim1b8KG85jne4WvIdWZkAIHecc656Kpj9_cUxzBAIEjRwm9PaHQk7SaQjpDZAf70um_qBNUzaHPA6OlHx14mMTxUV2QjPQ8Awx9gc7xKvCgYd_YDxFVHwqALy-CHROvK-/s320/200505_IkLeerBIM_FilterScriptGenerator.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;API.FilterScriptGenerator&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
But, "The FilterElementCollector is no rocket science." I hear you say. No it isn't.&lt;br /&gt;
Still this Node has almost every option that the API gives us. And there are quite a few...&lt;br /&gt;
Beside filtering on 1 or multiple Classes or BuiltinCategories, you can Filter on all the Parameters you want. Use Views, Levels, Geometry and DesignOptions. And there is also an option so your Python Node also works for Linked documents.&lt;br /&gt;
&lt;br /&gt;
Some Filter options can be achieved in multiple ways. If that is the case I tried to choose 1 or the other. I also skipped some very specialized Filters, because it is possible to also use e.g. BuiltinCategories. Most of this is documented in the Node.&lt;br /&gt;
And for those who know their stuff. This is not the most beautiful, clean and efficient script I ever wrote. But it works. ;-) So perhaps I will clean it up later (if I want to).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;h3&gt;
API.MethodLookUp&amp;nbsp;&lt;/h3&gt;
Helps to find the arguments needed for a method. In al lot of cases this will be enough. And if this is still confusing you can always use google and find more examples or an explanation.&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTg1S6KTm-YIKkurjFs1-AkFK3lZEaWtBjsEio5E4UVuwjXDZfaPWdxz5aBViBVqYUJEPJ0QRyCBdMleBbc0-ym53jzuSaGoBYeDMBxBuzAv15AUJrNc7eBfKQBxNZuF4DNStupvR19E3J/s1600/200505_IkLeerBIM_MethodLookup.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="638" data-original-width="1351" height="188" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTg1S6KTm-YIKkurjFs1-AkFK3lZEaWtBjsEio5E4UVuwjXDZfaPWdxz5aBViBVqYUJEPJ0QRyCBdMleBbc0-ym53jzuSaGoBYeDMBxBuzAv15AUJrNc7eBfKQBxNZuF4DNStupvR19E3J/s400/200505_IkLeerBIM_MethodLookup.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;API.MethodLookUp&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7_XJit-hklJ9S71i3sWr3hE3L-Ww2UPiHd5CQHu9vVXjZkf4jGl9gNrMcnpfY4LrVQ8RoPRg64Y8YVmOHvBPveBi9Eqnm1F7SsvXsVx4-uV2E6sc_h0HeWaAOq6sTjvB9tg2C2oPnHZdn/s1600/200505_IkLeerBIM_MethodLookup_LacLongest.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;img border="0" data-original-height="758" data-original-width="1229" height="246" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7_XJit-hklJ9S71i3sWr3hE3L-Ww2UPiHd5CQHu9vVXjZkf4jGl9gNrMcnpfY4LrVQ8RoPRg64Y8YVmOHvBPveBi9Eqnm1F7SsvXsVx4-uV2E6sc_h0HeWaAOq6sTjvB9tg2C2oPnHZdn/s400/200505_IkLeerBIM_MethodLookup_LacLongest.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;With Lacing Longest and some sorting and grouping.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;br /&gt;&lt;br /&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/6936352138113254653/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/6936352138113254653?isPopup=true" rel="replies" title="1 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/6936352138113254653" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/6936352138113254653" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2020/05/update-ikleerbim-dynamo-package.html" rel="alternate" title="Update IkLeerBIM Dynamo Package" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzCWYtcGvMs7Kmgn0GAn9fgXtFs93zxeWk6Y3EvIGvNifodtJsDdOOa5sfrbPoICsVPAAvr_RthoWDj3eqOQJSdKNcSWxQnEnBSiTaNwVKFekxxW8Qm9w89tWD69UNf_W6QYJVG-4jkYde/s72-c/200505_IkLeerBIM_Package.PNG" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-2895676781480901809</id><published>2020-04-15T12:45:00.000-07:00</published><updated>2020-04-17T01:05:27.387-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="API"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Package"/><category scheme="http://www.blogger.com/atom/ns#" term="Python"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">First release IkLeerBIM Dynamo API helper (micro) Package</title><content type="html">While writing Python code in Dynamo I still seem to use my own LookUp Node a lot. And that is despite multiple very appreciated well known tools and websites. All these work best, because a lot of people did contribute their little something. That's how this train moves. So today I want to contribute my tiny little something.&lt;br /&gt;
&lt;br /&gt;
&lt;div&gt;
&lt;div&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjYcIu-G3Uk_MYXlsIUnGumDU0IiKn4OwpdjZOb96QBGKVQUhxDUicAP_PdQ2e1V6PNrqyVH9urAGbUM7yKxZm8kogVRkqxA56zMKxjM0NPee5Bm5CoSUfasrvYX5gtW6LWuE5qXzfaOHjR/s1600/200415_IkLeerBIM_Package.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="307" data-original-width="961" height="201" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjYcIu-G3Uk_MYXlsIUnGumDU0IiKn4OwpdjZOb96QBGKVQUhxDUicAP_PdQ2e1V6PNrqyVH9urAGbUM7yKxZm8kogVRkqxA56zMKxjM0NPee5Bm5CoSUfasrvYX5gtW6LWuE5qXzfaOHjR/s640/200415_IkLeerBIM_Package.png" width="640" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
But why do I use this LookUp Node and not something else?&lt;/div&gt;
&lt;div&gt;
First of all every situation is different. And everybody works differently. But most of the time I simply do not want to leave my scripting environment. And that is Dynamo. Secondly I want to know what actually works - no surprises. And remember I am foremost a Revit user, so the way I approach a Revit problem might be slightly different than a professional programmer. And this Node is a real easy and straight forword way of working with Python in Dynamo.&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
Really world changing technology right?&amp;nbsp;&lt;/div&gt;
&lt;div&gt;
Ahh not exactly... It is more like a smart dir() function, with some extra. But .. it works. Simply give the Node something to chew on. And it will return all the attributes with values, all methods, all BuiltinParameters with values, the BuiltinCategory and the Class. It is possible to search, clean or even extend the outcome with readable names. I would say, give it a try. I love it, it might work for you too.&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
Thanks to the community who provides countless means to examine and learn new things. Parts of the code came from everywhere. Like the Clockwork Package, Dynamo Forum, The Building Coder etc. Thanks all. This is my small contribute back.&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;
&lt;br /&gt;
Just a few teasers on what this node does.&lt;br /&gt;
And remember, this Node is basically a temporary LookUp node. It is not build to use it as a part of script. But why would you. Use it to build your own Python script. Have fun.&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKoUUPJHewjDknLB3nu9uDEF0LqYbMWopPvqn6ydOquvJuuttYWKW0_s2n9IngSGO5xufEnqScWUcPm4bWN8LtntCBTTaOFrX8egWuVraDyTYmo4ANIvhABTTPpPrN7U059nW3StlWTo-v/s1600/IkLeerBIM_LookUp_Class_LIB.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="1210" data-original-width="1600" height="301" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKoUUPJHewjDknLB3nu9uDEF0LqYbMWopPvqn6ydOquvJuuttYWKW0_s2n9IngSGO5xufEnqScWUcPm4bWN8LtntCBTTaOFrX8egWuVraDyTYmo4ANIvhABTTPpPrN7U059nW3StlWTo-v/s400/IkLeerBIM_LookUp_Class_LIB.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;This node eats almost everything and shows the class of the input&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1WYfY0FlTR2UhOTc6HqAF4WqCxKeJp3KyMGWdZxdpRVM2_rDRZSS4lONa0PtDOTILrTNbbEud5dKVW0YoLo0Vpz1Uy2r-xFJ7q9ZGXVmQfP-yDfXDNMtQT4Gno5SKJvj-6Br2UtL9Mhlb/s1600/IkLeerBIM_LookUp_List.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="966" data-original-width="1600" height="241" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1WYfY0FlTR2UhOTc6HqAF4WqCxKeJp3KyMGWdZxdpRVM2_rDRZSS4lONa0PtDOTILrTNbbEud5dKVW0YoLo0Vpz1Uy2r-xFJ7q9ZGXVmQfP-yDfXDNMtQT4Gno5SKJvj-6Br2UtL9Mhlb/s400/IkLeerBIM_LookUp_List.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;span style="font-family: &amp;quot;times new roman&amp;quot; , serif; font-size: 9.5pt;"&gt;Just give this node a list or a single item. It will flatten everything and uses
only the first index.&lt;/span&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqr6XKej5nH5iPpGfiG-h14BYIptzhEqOc-ttBpN1f7AL6y9sa3UOAaGSTX1AiwCTMEvgFO94xC1rRUpNxJ61BpOhKWH0AZ9Jwx33gheiMlKj-WlXGqPXndCIz7QZx7H0EWeuiahzjbYXH/s1600/IkLeerBIM_LookUp_Clean.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="546" data-original-width="1351" height="161" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqr6XKej5nH5iPpGfiG-h14BYIptzhEqOc-ttBpN1f7AL6y9sa3UOAaGSTX1AiwCTMEvgFO94xC1rRUpNxJ61BpOhKWH0AZ9Jwx33gheiMlKj-WlXGqPXndCIz7QZx7H0EWeuiahzjbYXH/s400/IkLeerBIM_LookUp_Clean.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;span style="font-family: &amp;quot;times new roman&amp;quot; , serif; font-size: 9.5pt;"&gt;It will clean the output for empty / null etc. values. Unless you want to
see everything off course.&lt;/span&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg3rJdZLS7kwZLiYEcjye4ITrdsE-ue8bCkLQaBPyC7KGFpJVOvW82E2LZVcC9kaTTw8SvjPwLvaNXIktv2NXgYH9NPB7ZNQOibffIt1s2bARj_wfDnp3-WcglkEF3o701FiwuNM75-qIxE/s1600/IkLeerBIM_LookUp_Show_Names.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="782" data-original-width="1158" height="270" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg3rJdZLS7kwZLiYEcjye4ITrdsE-ue8bCkLQaBPyC7KGFpJVOvW82E2LZVcC9kaTTw8SvjPwLvaNXIktv2NXgYH9NPB7ZNQOibffIt1s2bARj_wfDnp3-WcglkEF3o701FiwuNM75-qIxE/s400/IkLeerBIM_LookUp_Show_Names.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Sometimes you simply want readable names. But most of the times you do not...&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjfcbl3CzA2bcftSu6aR2ZqGh67i4kJXrS5kH4MrFB4xhHypG9LEbqcTUNYfm6ueKevDNrpckOKFi066gp2fetqGQ30vKHBNZ6JwlO1yy2breA55PQP7yjsSfV2V3YpqYcTx5nnE1w2Wl0Y/s1600/IkLeerBIM_LookUp_Filter.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="1253" data-original-width="1600" height="312" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjfcbl3CzA2bcftSu6aR2ZqGh67i4kJXrS5kH4MrFB4xhHypG9LEbqcTUNYfm6ueKevDNrpckOKFi066gp2fetqGQ30vKHBNZ6JwlO1yy2breA55PQP7yjsSfV2V3YpqYcTx5nnE1w2Wl0Y/s400/IkLeerBIM_LookUp_Filter.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;br /&gt;
Because it slows down a little. &lt;br /&gt;
And if you know what you are looking
for, you simply use the Case Insensitive search.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;/div&gt;
</content><link href="https://ikleerbim.blogspot.com/feeds/2895676781480901809/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/2895676781480901809?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/2895676781480901809" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/2895676781480901809" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2020/04/first-release-ikleerbim-dynamo-api_15.html" rel="alternate" title="First release IkLeerBIM Dynamo API helper (micro) Package" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjYcIu-G3Uk_MYXlsIUnGumDU0IiKn4OwpdjZOb96QBGKVQUhxDUicAP_PdQ2e1V6PNrqyVH9urAGbUM7yKxZm8kogVRkqxA56zMKxjM0NPee5Bm5CoSUfasrvYX5gtW6LWuE5qXzfaOHjR/s72-c/200415_IkLeerBIM_Package.png" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-6419136304133860686</id><published>2019-12-06T04:56:00.001-08:00</published><updated>2019-12-06T04:56:14.519-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="HeatMap"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="SpaceAnalysis"/><title type="text">Fun with heatmaps</title><content type="html">&lt;i&gt;Today something fun, and who knows useful.&lt;/i&gt;&lt;br /&gt;
&lt;br /&gt;
In an age of generative design a heat map can give a human perhaps a different kind of insight.&lt;br /&gt;
A heat map is as a surface with a colored gradient. And the colors represent a value, or even a wright and a wrong. The nice thing about a colored gradient is that the computer does the interpolation based on the actual calculated values. Off course in real life some of those values are not valid. And of course it is a very rough way to make decisions. But it does give some visual feedback. And it is based on calculations and not rules of thumb.&lt;br /&gt;
So let’s do this!. And make some heat maps in Dynamo and Revit. See what happens. And what works.&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjPJil2pOsMabUVrLxp19_8pkSjpe3EpDtYQ3Nuy8-KxXwOrRm9v-t-Mx2Sxl0c_bCXkgaNCED2aXLrePPTzR4cP8WSnkkbbXOR7wnYXZIMjLvL8YrvTry0wYOkAdhbLrCK34jQesporUz2/s1600/01.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="777" data-original-width="965" height="321" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjPJil2pOsMabUVrLxp19_8pkSjpe3EpDtYQ3Nuy8-KxXwOrRm9v-t-Mx2Sxl0c_bCXkgaNCED2aXLrePPTzR4cP8WSnkkbbXOR7wnYXZIMjLvL8YrvTry0wYOkAdhbLrCK34jQesporUz2/s400/01.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;b&gt;First Dynamo&lt;/b&gt;&lt;br /&gt;
For a heat map you&amp;nbsp; first need a surface. So let’s select a Face from an object in Revit.&lt;br /&gt;
Now the first thing you need to know about generating a heat map in Dynamo is that you need a matrix (list of list) of points. The list of list must be with the same lengths and offsets. So in normal language. Create a bounding box based on the surface. Convert this into real geometry. Explode this to grab the bounding surface. And that is where we are going to work with.&amp;nbsp; We divide this new surface into points. This can easily be done with Surface.PointAtParameter based on a UV. Both the U and the V are lists between 0 and 1 with equal steps for both in the U and in the V directions. The UV is like the local coordination system for the new heat map. The generating heat map needs this environment to work correct in Dynamo. Some points are on the Surface and some are not. This works differently in Dynamo and in Revit. But we will get back on that later.&lt;br /&gt;
So we have a surface and a list of list of points. Based on a bounding UV system.&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHR1Lk4GfFeWINM8mDHBqCeYV_EFs_AQ4ZeV7HIzMu_dn07YsC8qqD7mKJZ7U4xQ_qWsvkbIhRnJPuvc-uWLBDfk39xkkNzIlkPhNlZhqc7OefGRbOd_3ZEIDW0Yw2kYVGPLvLFy8oP3iE/s1600/02.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="894" data-original-width="1372" height="260" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHR1Lk4GfFeWINM8mDHBqCeYV_EFs_AQ4ZeV7HIzMu_dn07YsC8qqD7mKJZ7U4xQ_qWsvkbIhRnJPuvc-uWLBDfk39xkkNzIlkPhNlZhqc7OefGRbOd_3ZEIDW0Yw2kYVGPLvLFy8oP3iE/s400/02.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;b&gt;Now let’s make Dynamo work!&lt;/b&gt;&lt;br /&gt;
Just for starters we will calculate the distance between each of these points and another object in Revit. In order to map each value to a colour in a color range between 0 to 1, we also need to map all the values between 0 and 1. Now we can find the right color for each value with the Color Range Node. At this moment each distance has a corresponding color. And this color is related to a UV position on the bounding surface because of the list structure. So when we connect this list of list of colors to the surface. We get a correct heat map. Points outside the surface do not matter for the GeometryColor.BySurfaceColors Node. Actually this Node needs all the UV points of the 2D bounding box to work correctly.&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6Ojk9lhplV63RPmkLvakbpytyXxcsroQZqmjtxvtDJ4ZvurTCTTGE6jRFywEfRz22H20wstbTlGbCdRGH95r0E6F9zz_gPYesoJhCAEbPWSb4mBCJThniToKADH4oH2LKNe3lBrRfwgxA/s1600/03.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="884" data-original-width="1349" height="261" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6Ojk9lhplV63RPmkLvakbpytyXxcsroQZqmjtxvtDJ4ZvurTCTTGE6jRFywEfRz22H20wstbTlGbCdRGH95r0E6F9zz_gPYesoJhCAEbPWSb4mBCJThniToKADH4oH2LKNe3lBrRfwgxA/s400/03.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
When we move the object in Revit the heat map in Dynamo will change. Nice… :-)&lt;br /&gt;
Off course we can also tweak the color range a little. The indices do not to be equally divided between 0 and 1. As long as there are as many colors as indices it will continue to work.&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTMQ5afzbaFBiBEJv-pLZa-CprtrnR8S02oCFa5oEQntY6BhYd6RSwLg9yy0k50fiYjuPb0zLZUn87VgPlFtYK-PEcSh5JszYC18i93pIRlsssHJ433W7m5A9FaoL2tNaabHyyKpH4SFGF/s1600/04.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="872" data-original-width="1359" height="256" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTMQ5afzbaFBiBEJv-pLZa-CprtrnR8S02oCFa5oEQntY6BhYd6RSwLg9yy0k50fiYjuPb0zLZUn87VgPlFtYK-PEcSh5JszYC18i93pIRlsssHJ433W7m5A9FaoL2tNaabHyyKpH4SFGF/s400/04.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
Because it is still a list of list with values. You can do some simple math and relate multiple heat maps to each other. Like the points nearest to object 1 AND object 2. Or the points nearest to object 2 and greatest distance to object 1. Off course this examples are not really difficult. I simply show how this works.&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEioj9U1_DJgqO8ImF9maz81_B1hwqfVi00bVUxJN1YpJqNxK5tKHiTaQ_p_ANVon8YHu-nURI3Ejr6EO1NjSgBvcI659NAwfYzGvn0Q5nhFtCIN6XHYg0RIX8Qz6nDN2MPX5CBzWuRvwHul/s1600/05.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="875" data-original-width="1375" height="253" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEioj9U1_DJgqO8ImF9maz81_B1hwqfVi00bVUxJN1YpJqNxK5tKHiTaQ_p_ANVon8YHu-nURI3Ejr6EO1NjSgBvcI659NAwfYzGvn0Q5nhFtCIN6XHYg0RIX8Qz6nDN2MPX5CBzWuRvwHul/s400/05.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;b&gt;Now let’s take this heat map to Revit.&lt;/b&gt;&lt;/div&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgswr-4pBuyguuIShgJM9yMlZTuyXaUjzS-RoitAPYdY05FPL9AWxOVPIg8ALtHrqJI01GWX-1V1odeCElZCz4yf4Q-1ikEfV3YBYKpJdRdVOFzKGE7iDDzuXb_gyidSdntK2cTgLx7nz_h/s1600/06.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="808" data-original-width="1600" height="201" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgswr-4pBuyguuIShgJM9yMlZTuyXaUjzS-RoitAPYdY05FPL9AWxOVPIg8ALtHrqJI01GWX-1V1odeCElZCz4yf4Q-1ikEfV3YBYKpJdRdVOFzKGE7iDDzuXb_gyidSdntK2cTgLx7nz_h/s400/06.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;br /&gt;
If we want to use the same points and values to create a heat map in Revit it does not work. We need to filter for points that are actually on the surface. This is the first thing&amp;nbsp; that is different. And another thing is that we need a flatten list.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjpiHot-mU2dBPYhcu_Q977z37uVe2FXKIbxFcree5wiCI76AhQYaOg81jQ7JuGmB-H6LIKg8dcodpyMMQflSwzhZmV9oBF_6_BbHRyoLTC1Zdpk-0ETUFCowo7AVD4oeb4umtgjQad_YW/s1600/07.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="729" data-original-width="1600" height="181" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjpiHot-mU2dBPYhcu_Q977z37uVe2FXKIbxFcree5wiCI76AhQYaOg81jQ7JuGmB-H6LIKg8dcodpyMMQflSwzhZmV9oBF_6_BbHRyoLTC1Zdpk-0ETUFCowo7AVD4oeb4umtgjQad_YW/s400/07.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjXa3GhjSTTMPrKnCEvhdXWvrwa2pPP3yMBs9UrUwPEfNvHPNt6vDX_fS0j2J2HbG-dCmbSCMHHw1r6jDy6trz_ADugIQBwu27wdIuGodgjR0PD1awu8elBsC8n8P17q3KIn7JzpHowqxP8/s1600/08.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="550" data-original-width="985" height="222" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjXa3GhjSTTMPrKnCEvhdXWvrwa2pPP3yMBs9UrUwPEfNvHPNt6vDX_fS0j2J2HbG-dCmbSCMHHw1r6jDy6trz_ADugIQBwu27wdIuGodgjR0PD1awu8elBsC8n8P17q3KIn7JzpHowqxP8/s400/08.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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Of course Revit has its own View Visibility settings that also need to be correct to show the heat map. We need to create (or select) a Graphic Display Style – you can try different settings-. Be sure that Analysis Result Settings are also set. Also be sure that your kind of view is able to show the heat map –like 3D views-&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Back to Dynamo.&lt;/b&gt;&lt;br /&gt;
There is more we can do while visualizing our calculated data. What about getting the contour of an area that is better (or worse) than a specific value? That is an interesting concept, I think. Because In the end you want the computer to understand that we are pinpointing things to a specific area that make sense. Jus in order to (visually) lower the endless combinations in front, while doing some generative design.&lt;br /&gt;
It gives us also other ways to visually or mathematically examine our results. Like the value at a specific point, based on interpolation. Or the slope – the difference between values in an bigger or smaller area. There are times that you best can generate millions of options –because it is simply too difficult to explain or program- And there are times when you are trying to find an optimum between the latest and doing things completely manually.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwlRm0lNtCNvrN-jiazlbF9-ShlOzOkrcvJW-bH9IFMC5xFiQstpu_BGF2WDd1ZKDZLR_m1AR71958la5jOQFJKyBVOBV2NReC5_zPxsB5lIPl3rfn0RuvKjiVorvPx5xZjCkN3AkSq1SX/s1600/09.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="895" data-original-width="1389" height="257" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwlRm0lNtCNvrN-jiazlbF9-ShlOzOkrcvJW-bH9IFMC5xFiQstpu_BGF2WDd1ZKDZLR_m1AR71958la5jOQFJKyBVOBV2NReC5_zPxsB5lIPl3rfn0RuvKjiVorvPx5xZjCkN3AkSq1SX/s400/09.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
To do this we can e.g. create a 3D visualisation of the values and generate new meaningful geometry based on our wishes. Let’s start this by creating new points, based on the original grid of points and an Z-offset, based on the value of each point.&amp;nbsp; You can create lines while connecting the original to the new points. Or create nurbscurves while using only the new points in the list of list. Some points will intersect because they do not have a ‘value’ so if you want to, you can filter those, or simply ignore the warning.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWqJlRGb0oOK4BtumfXeRiI20FtolznpJf4LzTVg7CiKJgy5U9QvWa-VGfB0XlL3MJMAbBsy5J6sCkeJvX0quudMuF2dYT6CnuRGNEgN8yMTqTcLGsvVHGcn3BGvT1gRgBq3iM1-lbXNKM/s1600/10.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="894" data-original-width="1504" height="237" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWqJlRGb0oOK4BtumfXeRiI20FtolznpJf4LzTVg7CiKJgy5U9QvWa-VGfB0XlL3MJMAbBsy5J6sCkeJvX0quudMuF2dYT6CnuRGNEgN8yMTqTcLGsvVHGcn3BGvT1gRgBq3iM1-lbXNKM/s400/10.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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Create a solid while using the perimeter curves of the original surface and the new top surface.&lt;br /&gt;
And finally slice this new solid at a certain level.&lt;br /&gt;
Now we have a new piece of geometry that is roughly defined by calculations off a grid of points and a value filter. The slicer is not really fast... but it works.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiVAgMyPBS6hEqW9ae66d3rvl-rUQ4iNrAb8wXQ3wcgJYYq3uhQafyDhRWh4cDEXUdCbbjh90H1UhVXW2pVJD4F8LXAJn3s3xwcDwXkVIBi3HpsBXf1C-a0gZbimwudBYD6LTKuxda7FkPz/s1600/11.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="893" data-original-width="1506" height="236" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiVAgMyPBS6hEqW9ae66d3rvl-rUQ4iNrAb8wXQ3wcgJYYq3uhQafyDhRWh4cDEXUdCbbjh90H1UhVXW2pVJD4F8LXAJn3s3xwcDwXkVIBi3HpsBXf1C-a0gZbimwudBYD6LTKuxda7FkPz/s400/11.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;b&gt;Of course this is not all new.&lt;/b&gt;&lt;br /&gt;
&lt;u&gt;ArchiLab &lt;/u&gt;has also some nodes. &lt;a href="https://archi-lab.net/colored-surface-analysis-display-with-mantis-shrimp-and-ladybug-continued/" rel="nofollow" target="_blank"&gt;Here &lt;/a&gt;is an old post where he is playing with LadyBug and Mantis Shrimp&lt;br /&gt;
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And then there is the &lt;u&gt;&lt;b&gt;&lt;a href="https://www.keanw.com/2019/03/the-space-analysis-package-for-dynamo-and-refinery-is-now-available.html" target="_blank"&gt;SpaceAnalysis Package&lt;/a&gt;&lt;/b&gt;&lt;/u&gt;. Build by Autodesk Research. A package that can do some efficient tricks just out of the box. It has some wonderful solutions for Pathfinding (better than calculating the straight line distance in our example)), Visibility / Field of view and Acoustics.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQJM1wgR49O4u-WiLaDBbsASoiUFk03peKpup6ZYaco-plSaSibsfShfk83b1a29nYX_h5vFiRkntJ9xn6BzGhRduOsFwmi0AUWtbiVldvdg68UR1xXrzAFkeFmrlLQWuDplBUGihlIEhO/s1600/12.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="892" data-original-width="1436" height="247" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQJM1wgR49O4u-WiLaDBbsASoiUFk03peKpup6ZYaco-plSaSibsfShfk83b1a29nYX_h5vFiRkntJ9xn6BzGhRduOsFwmi0AUWtbiVldvdg68UR1xXrzAFkeFmrlLQWuDplBUGihlIEhO/s400/12.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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I am happy to say that it is not really difficult to use. First you have to make a Space Lattice with the Node SpaceLattice.ByBoundingBoxAndLines. This node needs a bounding box (now you know), some barriers (real barriers, or the contour of the surface, or an empty list – but why would you) It is possible to enter a list of Revit lines, but also line based Revit families. Remember that curved lines do not work. In that case use Utils.ApproximateCurvesWithLines. And last but not least a resolution input. Take care of this one! This is a distance input and the default value is 0,2. Beware! Your script will probably not break. And when this node is finally finished you have a very detailed Space Lattice. When you first try this workflow make this input bigger than the default. Or try something like I did to reduce the points.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjoM1g5bz16Nsf_wqbEss80iZxH5IeOtJRU0z5NsEzySdppEh6z2V2Nt6IhkeIDKHlYUPuo72QMeNtMJ0uHSIA4jyjhCbohJNv_d_sBsyQ0dTtWFGhOvG0sK9xvD7fUU1XofopKNV88CGf4/s1600/13.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="872" data-original-width="1549" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjoM1g5bz16Nsf_wqbEss80iZxH5IeOtJRU0z5NsEzySdppEh6z2V2Nt6IhkeIDKHlYUPuo72QMeNtMJ0uHSIA4jyjhCbohJNv_d_sBsyQ0dTtWFGhOvG0sK9xvD7fUU1XofopKNV88CGf4/s400/13.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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There are a few nodes that will show this Space Lattice. It contains of a grid of points. And all the points are connected with lines in maximum 8 directions. By walking and counting these lines you will have an idea how far points are apart. Especially if you see that the Space Lattice does not make these lines if they intersect with your barriers. Well in the end the shortest path is a fundamental science problem. Google Dijkstra’s algorithm if you are up to it. It can be fun to know at least some basics.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhT1uTcybcbud2hW7FewRprNL40y0KabgFzzQUvHSfEd_ULGwVYymXb_uCF8WpHWv9B6c6UkvROX_chWwsMIWVrgAF4MAR0iGH8sk2TmayyQs8o4_2fAGDpf1m8tBCITUUhEdzZHqWGwbOC/s1600/14.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="561" data-original-width="1365" height="163" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhT1uTcybcbud2hW7FewRprNL40y0KabgFzzQUvHSfEd_ULGwVYymXb_uCF8WpHWv9B6c6UkvROX_chWwsMIWVrgAF4MAR0iGH8sk2TmayyQs8o4_2fAGDpf1m8tBCITUUhEdzZHqWGwbOC/s400/14.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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Because of this Space Lattice, you have to relate your input points to this Space Lattice with the node SpaceLattice.ClosestPointTo. At least that is what I think is best.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiz3jxci_Wi0p7IUz-VjuS9OerDC36EEoB66L5QP-Tuim54F4U2UtOjAH_p_DuHFlVkKg0RhQPzPRStiswZ3xttjB0Of6XsHkVz8JEjK5MTAIZSf4pgkAkbOqO3cx8TNH-BSLtHtd2ljC9j/s1600/15.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="887" data-original-width="1587" height="222" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiz3jxci_Wi0p7IUz-VjuS9OerDC36EEoB66L5QP-Tuim54F4U2UtOjAH_p_DuHFlVkKg0RhQPzPRStiswZ3xttjB0Of6XsHkVz8JEjK5MTAIZSf4pgkAkbOqO3cx8TNH-BSLtHtd2ljC9j/s400/15.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
It is easy to find and visualize the shortest path. A nice addition is the tidyIteration to make the path more smooth. You probably want to do this if you do not use so much calculating points.&lt;br /&gt;
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&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5SNrdS_KlnmwUjJz29acEIjvBq8_il9oZ6uHpi1HVwLX0nSFpQa_H-7luHvUKcng7a6qMW2LJNA6D8QlVioMfqFwQdKmYagKAV0JBQL1KccbcHLfexarUYT7H2eDOu2cn8jizzAP2vIdv/s1600/16.PNG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="891" data-original-width="1592" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5SNrdS_KlnmwUjJz29acEIjvBq8_il9oZ6uHpi1HVwLX0nSFpQa_H-7luHvUKcng7a6qMW2LJNA6D8QlVioMfqFwQdKmYagKAV0JBQL1KccbcHLfexarUYT7H2eDOu2cn8jizzAP2vIdv/s400/16.PNG" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
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The field of view is only a few nodes. Here it is also possible to relate multiple results by using Union and Intersection. And there is also a node to get the value at a specific point.&lt;br /&gt;
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Of course you need to do some tricks to get this visual into Revit, as described above.&lt;br /&gt;
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Here you can find the scripts&amp;nbsp;&lt;a href="https://drive.google.com/open?id=1UswbiVB8DbIOr2zSZ4aZ25AUJkagDswk" target="_blank"&gt;SpaceAnalysis_test.dyn&lt;/a&gt;&amp;nbsp;and&amp;nbsp;&lt;a href="https://drive.google.com/open?id=1yHJqQhhPHXvOOgmzmyptmp2ULekRl0_4" target="_blank"&gt;Heat_map_test.dyn&lt;/a&gt;&amp;nbsp;so you play around.</content><link href="https://ikleerbim.blogspot.com/feeds/6419136304133860686/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/6419136304133860686?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/6419136304133860686" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/6419136304133860686" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2019/12/fun-with-heatmaps.html" rel="alternate" title="Fun with heatmaps" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjPJil2pOsMabUVrLxp19_8pkSjpe3EpDtYQ3Nuy8-KxXwOrRm9v-t-Mx2Sxl0c_bCXkgaNCED2aXLrePPTzR4cP8WSnkkbbXOR7wnYXZIMjLvL8YrvTry0wYOkAdhbLrCK34jQesporUz2/s72-c/01.PNG" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-8145333435167543665</id><published>2019-10-25T04:27:00.001-07:00</published><updated>2019-10-25T04:34:54.677-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="DWG"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Where is my DWG !!</title><content type="html">There are a lot of things on my bucket list. And this post is one of them. One down just a few to go.&lt;br /&gt;
&lt;br /&gt;
Of course we never use DWG. And of course we always use them in the ‘right’ way… But still, ones in a while I get this question: “I think there are a couple off DWG's in my project. But I do not know the status. And basically I also do not know where they are. -small voice- Help”&lt;br /&gt;
&lt;br /&gt;
So let me showcase some things about DWGs in Revit.&lt;br /&gt;
You can Import or Link a DWG. And you also can Import a DWG in a Family.&lt;br /&gt;
When you insert a DWG you can choose to insert it in a View (= 2D annotation) or as 3D Model information. &lt;br /&gt;
A 2D annotation DWG has the option to put the DWG in the background or in foreground. And a 3D DWG has a 3D Z-position that will influence the visibility&lt;br /&gt;
After that there are a lot of ways to change the visibility but that is not part of this blogpost. Because today we wants to find DWG’s and kill it if necessary. &#128522; By killing it I do not mean explode the whole thing -which will be showcased nevertheless- but removing absolete ones. And regain control over your project, so everything is zen again. &lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvWjqN4jbNeRKKF3ycLEc4TmUCL8uyAmLhudDyy2pdPVJ4m4rwgEJ0rKk8Na29NyMmgekomM-PtNzwGTCT8pXABWcZnkwfr6vDrT_CWVxHsjDAfLVzeYBhQpXDOiOwn6gi50LGKSbj5c79/s1600/01-191022_DWG_LINK_VIEW.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="575" data-original-width="776" height="296" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvWjqN4jbNeRKKF3ycLEc4TmUCL8uyAmLhudDyy2pdPVJ4m4rwgEJ0rKk8Na29NyMmgekomM-PtNzwGTCT8pXABWcZnkwfr6vDrT_CWVxHsjDAfLVzeYBhQpXDOiOwn6gi50LGKSbj5c79/s400/01-191022_DWG_LINK_VIEW.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Let's start with Linking in current view only - just as we learned&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgE9FRAEuTsnChrbKyN-JCG0JUkoIItPyItrNW_hlm-slbb8QRfT58UlDzlrCB2Q2o4M2mgkjbpA9O9v1x3kW3e6bOMY4gJhqLK1U5K0nUcVFtvbTaWYtBQajvb6TQp_21TBLoUsWxACjBu/s1600/02-191022_DWG_FOREGROUND_BACKGROUND.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="582" data-original-width="884" height="210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgE9FRAEuTsnChrbKyN-JCG0JUkoIItPyItrNW_hlm-slbb8QRfT58UlDzlrCB2Q2o4M2mgkjbpA9O9v1x3kW3e6bOMY4gJhqLK1U5K0nUcVFtvbTaWYtBQajvb6TQp_21TBLoUsWxACjBu/s320/02-191022_DWG_FOREGROUND_BACKGROUND.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Use foreground or background to change the visibilty&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJs2eO3pPKq7zTrRAPkiBSLR8YrtlM3Yit0ZpwDOMufbVM0dXi-MwjwzJrDHcKlhe6oVc4zVzf5ngIS54uGReYrdjAU6IDzXMfzkbhVd4v2jLcIlPD13sslkT0n66X8J9hg7TqNnB-0dQQ/s1600/03-191022_DWG_LINK_MODEL.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="575" data-original-width="784" height="292" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJs2eO3pPKq7zTrRAPkiBSLR8YrtlM3Yit0ZpwDOMufbVM0dXi-MwjwzJrDHcKlhe6oVc4zVzf5ngIS54uGReYrdjAU6IDzXMfzkbhVd4v2jLcIlPD13sslkT0n66X8J9hg7TqNnB-0dQQ/s400/03-191022_DWG_LINK_MODEL.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Now let's try linking it as model information&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgk5phdjzUsm1anLHtQJewJ4ZPtApsZ0mMpotEmE8GmZ7Zv6hfhuDtvXVhLYQushMLztTO42vUpfILZaz08kGwS6hYiq8N2vi7PQ5Oq5ToCn7uTmk9y-bbHrHp7XOPRPqBQGUcM7lDcaRDq/s1600/04-191022_DWG_MODEL_OFFSET.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="619" data-original-width="1002" height="197" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgk5phdjzUsm1anLHtQJewJ4ZPtApsZ0mMpotEmE8GmZ7Zv6hfhuDtvXVhLYQushMLztTO42vUpfILZaz08kGwS6hYiq8N2vi7PQ5Oq5ToCn7uTmk9y-bbHrHp7XOPRPqBQGUcM7lDcaRDq/s320/04-191022_DWG_MODEL_OFFSET.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;By changing the offset related to the reference level of the DWG you can change the visibility&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgomszcIuTqa7-410xpQaJRm3cBUtQDggGg-rHPPGaLYcjBXuHcMPIqGGV-nK4GZNnhgami_hfyjdPoq_T578PYCNwFVMjqokph1ghEX3zfySOazY1DmrBxY7TxglS7HwA1huABGAdT-49h/s1600/05-191022_DWG_MODEL_OFFSET_3D.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="555" data-original-width="634" height="280" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgomszcIuTqa7-410xpQaJRm3cBUtQDggGg-rHPPGaLYcjBXuHcMPIqGGV-nK4GZNnhgami_hfyjdPoq_T578PYCNwFVMjqokph1ghEX3zfySOazY1DmrBxY7TxglS7HwA1huABGAdT-49h/s320/05-191022_DWG_MODEL_OFFSET_3D.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;And yes the DWG is actually there in 3D&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTaRR_uQTcRxhO272v2TukkfoyqpXTzz7iDIVbWg-upra_kgek2_G2nHB63J77ytzqCgscRQ5V02SrGBUt5KhB9ZqyFvGuj8g4llO3Uo17bwYp5vUes_78k49p4R0dhoYmrE45NfMXj6ML/s1600/06-191022_DWG_MODEL_OFFSET_ELEVATION.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="363" data-original-width="539" height="215" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhTaRR_uQTcRxhO272v2TukkfoyqpXTzz7iDIVbWg-upra_kgek2_G2nHB63J77ytzqCgscRQ5V02SrGBUt5KhB9ZqyFvGuj8g4llO3Uo17bwYp5vUes_78k49p4R0dhoYmrE45NfMXj6ML/s320/06-191022_DWG_MODEL_OFFSET_ELEVATION.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Even in your Section or Elevation...&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8-avOyDTSkGNXVMLhE9rNDTb6vwIwDPh0e6XMFi3DOA_gVnRtTtQTIwc4rW5ZPg9ZXtCBUZm3vuYiCC_m7OullCcZiWX7AE6YadB4yZBEUQuQBqsX9y_vu88iRkqIIKlY1eh2dVP2Je0L/s1600/07-191022_DWG_MODEL_OFFSET_3D_COMPLEET.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="621" data-original-width="692" height="287" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8-avOyDTSkGNXVMLhE9rNDTb6vwIwDPh0e6XMFi3DOA_gVnRtTtQTIwc4rW5ZPg9ZXtCBUZm3vuYiCC_m7OullCcZiWX7AE6YadB4yZBEUQuQBqsX9y_vu88iRkqIIKlY1eh2dVP2Je0L/s320/07-191022_DWG_MODEL_OFFSET_3D_COMPLEET.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;I did the same thing but then bij inserting DWG's by view and in 3D&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSNMLUxOIq-dYiDMkuRaYrA0Lj3aztEazGNNDCbExQSm-WSmjqa-Z3apWPrF7T2S1KSogcPsKK_xHMMhFchryYFngOorow4-UBqAf6XAqZsrO8ZSNsh_iv6cXI5JggnUkFShp-ojmv2fnk/s1600/08-191022_DWG_GETTING_SCARY.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="705" data-original-width="755" height="298" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhSNMLUxOIq-dYiDMkuRaYrA0Lj3aztEazGNNDCbExQSm-WSmjqa-Z3apWPrF7T2S1KSogcPsKK_xHMMhFchryYFngOorow4-UBqAf6XAqZsrO8ZSNsh_iv6cXI5JggnUkFShp-ojmv2fnk/s320/08-191022_DWG_GETTING_SCARY.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Now we got 4 DWG's in different ways in our project. None of them can be found in the browser&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg1jwdGcj1w3Xs4Y1tWJKrZbviWSO0fhpiTYuGcCsdKNoIKydof3gYfuedFRlHcRWJtUSlvve1FYM74nMRDFMjziBxVLt53uQ4Ziyb_c_PMPbdLDpRGj7As5hbCZhdKEN4WGNiSZjQJKgZ/s1600/09-191022_DWG_BUT_SERIOUSLY.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="618" data-original-width="1039" height="237" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg1jwdGcj1w3Xs4Y1tWJKrZbviWSO0fhpiTYuGcCsdKNoIKydof3gYfuedFRlHcRWJtUSlvve1FYM74nMRDFMjziBxVLt53uQ4Ziyb_c_PMPbdLDpRGj7As5hbCZhdKEN4WGNiSZjQJKgZ/s400/09-191022_DWG_BUT_SERIOUSLY.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;And only the linked DWG (by view) can be found in the manage lnks dialog&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdZmmFfWdFiX_mHy03tgqp8u0zS6j5mly4j2LozLeaHH9XyMrHOPe_deoTLNV75PshNYUQatK6rV4EJwTqAJMhtjBSdJZ6GZLfL8Z7wka0AWG3sHtwPIk4JKsKH70efiPm7sRsyQQjFEM4/s1600/10-191022_DWG_FAMILY.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="422" data-original-width="703" height="192" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdZmmFfWdFiX_mHy03tgqp8u0zS6j5mly4j2LozLeaHH9XyMrHOPe_deoTLNV75PshNYUQatK6rV4EJwTqAJMhtjBSdJZ6GZLfL8Z7wka0AWG3sHtwPIk4JKsKH70efiPm7sRsyQQjFEM4/s320/10-191022_DWG_FAMILY.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;But there is MORE. You also can import a link in a Family. And let's try exploding 1 off them&amp;nbsp;&lt;/td&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;-&lt;/td&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;/td&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;/td&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;just for kicks-&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzhninyfn7M1YvxgXxGgTzQ5MC44t8R_qRBGxPqjDj7pmcGJvlO1h9zcuBP0q9A1p_TLspRCLpfJYWMZrj-2gv0y9Btl2A8-Gpsw93F1gPylmtBYqLXGZfpkmOc2iLc97oAulgUVaRt5Ic/s1600/12-191022_DWG_FAMILY_ENV_INSERT.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="517" data-original-width="1171" height="176" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzhninyfn7M1YvxgXxGgTzQ5MC44t8R_qRBGxPqjDj7pmcGJvlO1h9zcuBP0q9A1p_TLspRCLpfJYWMZrj-2gv0y9Btl2A8-Gpsw93F1gPylmtBYqLXGZfpkmOc2iLc97oAulgUVaRt5Ic/s400/12-191022_DWG_FAMILY_ENV_INSERT.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;The visibility of the inserted DWG in de Family is based on annotation options - like draw in foreground&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiw_hdQL-7l2W_Nqpa-IoDvSrAkovVozJQCEtPf3lxEjA4jNKkViWRcvWA5ZAMtKJyg024vuEXSZhcY6m5ekjAAQpGKrx9bNi7Pa1TqVGAvwIJsDuLH3bJHJlQrjuiHzRlqtBirp52qeHbg/s1600/13-191022_DWG_FAMILY_ENV_EXPLODE.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="500" data-original-width="1161" height="172" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiw_hdQL-7l2W_Nqpa-IoDvSrAkovVozJQCEtPf3lxEjA4jNKkViWRcvWA5ZAMtKJyg024vuEXSZhcY6m5ekjAAQpGKrx9bNi7Pa1TqVGAvwIJsDuLH3bJHJlQrjuiHzRlqtBirp52qeHbg/s400/13-191022_DWG_FAMILY_ENV_EXPLODE.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;The visibilty options of the exploded DWG in the Family is based on model information&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTYLz4-7fSvuJ8QHpv_4hOunI-QHWiIBh6-JMS_vkAQ22L4lW7_p2bheb3kA8QDrNcW7f3zIJttuBYiawRbSKy5Jk9jsgZlMhIwNwOkvQ1d_gl-F2Ttbso_dh4X5qgD66cD93YBRpEhzx7/s1600/11-191022_DWG_FAMILY_3D.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="695" data-original-width="925" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTYLz4-7fSvuJ8QHpv_4hOunI-QHWiIBh6-JMS_vkAQ22L4lW7_p2bheb3kA8QDrNcW7f3zIJttuBYiawRbSKy5Jk9jsgZlMhIwNwOkvQ1d_gl-F2Ttbso_dh4X5qgD66cD93YBRpEhzx7/s400/11-191022_DWG_FAMILY_3D.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Only the lines of the exploded DWG in the Fanily are visible in 3D when loaded in the project.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiIQebXc7f7lxJVZRzTe9sR2i5PZmyrwaR5gk9otCZHjGkQ7YQrasFJV0gDTCdFgtg6-iPuZwffVzolLspwCYe_tc63UaeYwEWa_fDulIumSueWuJJHoH4zy0Qf8ddTQTIlIWB-ly-LtytV/s1600/15-191022_DWG_FAMILY_VG_02.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="563" data-original-width="861" height="261" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiIQebXc7f7lxJVZRzTe9sR2i5PZmyrwaR5gk9otCZHjGkQ7YQrasFJV0gDTCdFgtg6-iPuZwffVzolLspwCYe_tc63UaeYwEWa_fDulIumSueWuJJHoH4zy0Qf8ddTQTIlIWB-ly-LtytV/s400/15-191022_DWG_FAMILY_VG_02.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Under Imported Categories you will only find the layers of the not exploded version of the DWG in your Family&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxh5A_fdzFfxCxP6gsjW0hJyo1Jnv-Qv7qA8L684FegDbmEtHie5SQE5K12VoUPWFeeE6BElE1p17d5hZ7567ZnNKyBcgfFjQJhb6rj4Hnom9jZ3v46kMDL34Litzh0PQsavwVVamJQQKJ/s1600/16-191022_DWG_FAMILY_VG_03.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="557" data-original-width="859" height="258" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxh5A_fdzFfxCxP6gsjW0hJyo1Jnv-Qv7qA8L684FegDbmEtHie5SQE5K12VoUPWFeeE6BElE1p17d5hZ7567ZnNKyBcgfFjQJhb6rj4Hnom9jZ3v46kMDL34Litzh0PQsavwVVamJQQKJ/s400/16-191022_DWG_FAMILY_VG_03.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;The exploded DWG in your Family is part of the Family Category. So there are new Sub Categories created&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEix7vXXqLsQclnw-EndrhtzyTmrBb5W-PtbdG2fiFrNmNsBtzynkKW_pPasR1WjRB0rx0LzU0HJSyl2nKU59RjklhcttM4RCZFW9yihV-Kps5drTPMBkzjl8thoPWU0Zhi_Kfxhft6luG6C/s1600/17-191022_DWG_YEP_EXPLODE_IT_MODEL.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="662" data-original-width="1487" height="178" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEix7vXXqLsQclnw-EndrhtzyTmrBb5W-PtbdG2fiFrNmNsBtzynkKW_pPasR1WjRB0rx0LzU0HJSyl2nKU59RjklhcttM4RCZFW9yihV-Kps5drTPMBkzjl8thoPWU0Zhi_Kfxhft6luG6C/s400/17-191022_DWG_YEP_EXPLODE_IT_MODEL.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;When I copy the 4 different DWG in my project and try to explode those -I know- It is only possible to explode the 3D model versions and the 2D inserted version. -what have I done!- The 3D versions turn into 3D model lines&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEifkxz7tegNswurNQLxb1RBuCuxr6AwQUfZelYhN_sTRTNMTw2NYitJx_BWULP22bf-0gO0U4jm2t2U8BSzmXiM6tIx8luXtQMbmYl5mRu_lxs_9A8bEfmd8nw2VYpwMR5t0g2tn1GwKSNA/s1600/18-191022_DWG_YEP_EXPLODE_IT_VIEW.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="659" data-original-width="1489" height="176" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEifkxz7tegNswurNQLxb1RBuCuxr6AwQUfZelYhN_sTRTNMTw2NYitJx_BWULP22bf-0gO0U4jm2t2U8BSzmXiM6tIx8luXtQMbmYl5mRu_lxs_9A8bEfmd8nw2VYpwMR5t0g2tn1GwKSNA/s400/18-191022_DWG_YEP_EXPLODE_IT_VIEW.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;And of course the view dependent DWG version turns into detail lines. At this point your Revit model will be poluted with strange linetypes etc. based on the original DWG. At least some people will hate you for that. I you really have to explode a DWG. Do this in a clean new project. Change all the created content in the right Revit ones based on your company standard. And copy this 'clean' result to your project.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgPs_TMqR6SRbnL6BivTQj2RGlbhg_9UluMvQYFdIYj9QlVf8tVgYlMSQ_oUhYKhej2xkP0XpDBfagwcaMQcoKbGQ6NcGolk0O9BQAMPnwdtOShGGUqYx5PEhcGqgwi4qtUyXYlzn7b3k9L/s1600/19-191022_DWG_YEP_EXPLODE_IT_MODEL_3D.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="681" data-original-width="833" height="261" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgPs_TMqR6SRbnL6BivTQj2RGlbhg_9UluMvQYFdIYj9QlVf8tVgYlMSQ_oUhYKhej2xkP0XpDBfagwcaMQcoKbGQ6NcGolk0O9BQAMPnwdtOShGGUqYx5PEhcGqgwi4qtUyXYlzn7b3k9L/s320/19-191022_DWG_YEP_EXPLODE_IT_MODEL_3D.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Yes you get really model lines&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixq2sTp2Gwk79zvia9GpLnW7UQ2kNA6uAk8qq9EiQ24cyb9hqhpn1l7nJRgTQZY3svNJH0EWsg5370sq3YSqKhR0pS2RI9v7JYQmGbvd1_qjL2EcS6zbtJ5XDMjXKBDW9YilVNvDgIx8gU/s1600/20-191022_DWG_GETTING_SCARY_PART2.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="703" data-original-width="1047" height="214" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixq2sTp2Gwk79zvia9GpLnW7UQ2kNA6uAk8qq9EiQ24cyb9hqhpn1l7nJRgTQZY3svNJH0EWsg5370sq3YSqKhR0pS2RI9v7JYQmGbvd1_qjL2EcS6zbtJ5XDMjXKBDW9YilVNvDgIx8gU/s320/20-191022_DWG_GETTING_SCARY_PART2.PNG" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Back to our subject. There is still only 1 linked by view DWG in your manage links.. UI menu&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQ5f7k4vnRMAqeSBtsmuLGO3hMskpsBopwlfRGFEh5_sWsgw0g27fpbOPf3t4xOMElBfZs2iR0wztqbMz_UoEx3W6awa_6vKjxASqtxPjYV48vfVC0xdKUgDco4exeGwwuPvQ7ISR1zIOa/s1600/22-191025_DWG_UPDATE.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="543" data-original-width="1014" height="213" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQ5f7k4vnRMAqeSBtsmuLGO3hMskpsBopwlfRGFEh5_sWsgw0g27fpbOPf3t4xOMElBfZs2iR0wztqbMz_UoEx3W6awa_6vKjxASqtxPjYV48vfVC0xdKUgDco4exeGwwuPvQ7ISR1zIOa/s400/22-191025_DWG_UPDATE.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;When changing the original DWG only the DWG link by view is changed. This is also the only one that would show up in the manage links UI&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&amp;nbsp; So resume:&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;Exploded versions are part of your model - deal with it -&lt;/li&gt;
&lt;li&gt;Only the Linked by View version has interaction to a DWG file outsite Revit and can be checked for&amp;nbsp; a Date etc. Others are frozen versions of a original DWG.&lt;/li&gt;
&lt;li&gt;You can grab the 3D versions of DWG easily in multiple ways. One is by selecting everything in a 3D view and use the filter option.&lt;/li&gt;
&lt;li&gt;Inserted 2D versions are much harder. You need at least some help. There should still be some addin around. And otherwise Dynamo can be handy to find the related views. Or even create a Selection set with the help of Clockwork -as always-&lt;/li&gt;
&lt;li&gt;you can get some testfiles &lt;a href="https://bit.ly/2PeE31z"&gt;https://bit.ly/2PeE31z&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIRWX1IByyUzwEVa8ixr2lmJNdSbHXw6QaKn5xpxO1pY3QIyPd7m4Xhmdv_4qtX8GyBfVV0D3Qb3jTEfD_D7TNODSctXcGmD757QY2depSkgIR5Hp0qb5s2ktM7qstUAATeajqZyQJOOtA/s1600/21-191022_DWG_SCRIPT.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="1012" data-original-width="1448" height="278" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIRWX1IByyUzwEVa8ixr2lmJNdSbHXw6QaKn5xpxO1pY3QIyPd7m4Xhmdv_4qtX8GyBfVV0D3Qb3jTEfD_D7TNODSctXcGmD757QY2depSkgIR5Hp0qb5s2ktM7qstUAATeajqZyQJOOtA/s400/21-191022_DWG_SCRIPT.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;&lt;br /&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/8145333435167543665/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/8145333435167543665?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8145333435167543665" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8145333435167543665" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2019/10/where-is-my-dwg.html" rel="alternate" title="Where is my DWG !!" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgvWjqN4jbNeRKKF3ycLEc4TmUCL8uyAmLhudDyy2pdPVJ4m4rwgEJ0rKk8Na29NyMmgekomM-PtNzwGTCT8pXABWcZnkwfr6vDrT_CWVxHsjDAfLVzeYBhQpXDOiOwn6gi50LGKSbj5c79/s72-c/01-191022_DWG_LINK_VIEW.PNG" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-8361900579973751781</id><published>2019-09-13T07:36:00.000-07:00</published><updated>2025-04-30T01:08:59.671-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Floatingpoint"/><category scheme="http://www.blogger.com/atom/ns#" term="IEEE754"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Revit / Computer nauwkeurigheid</title><content type="html">Seeing is believing they say. So here it is.&lt;br /&gt;
&lt;br /&gt;
De 'floating point error'.&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwRRP4wVJBQ_YCGE0He5EEFUZRQR6EdZwGBiwkck1p5G32OAcJWJXvRdF0zVb_SdvqJNzaNT72ZKXySsw3yyCZrw8Kt_0XpgZJtxiRRW-gnYySjOrp_BTYJTkRp9SpB6Sm3Xkxx2elHbVS/s1600/Revit_Accuracy_crop.gif" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="741" data-original-width="1600" height="185" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwRRP4wVJBQ_YCGE0He5EEFUZRQR6EdZwGBiwkck1p5G32OAcJWJXvRdF0zVb_SdvqJNzaNT72ZKXySsw3yyCZrw8Kt_0XpgZJtxiRRW-gnYySjOrp_BTYJTkRp9SpB6Sm3Xkxx2elHbVS/s400/Revit_Accuracy_crop.gif" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Revit / Computer nauwkeurigheid&lt;br /&gt;
(o ja, een slotje helpt ook niet hoor)&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
Dit is een belangrijk gegeven voor programmeurs en 'rocket scientist'.&lt;br /&gt;
Maar voor bouwkundigen die een normaal gebouw maken, betekend het vooral dat je geen 6 of meer&amp;nbsp; decimalen moet &lt;u&gt;willen &lt;/u&gt;gebruiken in bijvoorbeeld Revit of een ander bouwkundig modelleer pakket!&lt;br /&gt;
&lt;br /&gt;
Wat is die 'floating point error'?&lt;br /&gt;
In het kort (meer zinnigs kan ik er toch niet over kwijt.. en anders google je het maar zelf)&lt;br /&gt;
Een &lt;a href="https://en.wikipedia.org/wiki/IEEE_754" rel="nofollow" target="_blank"&gt;computer &lt;/a&gt;slaat alles op met 0 en 1, dus ook getallen. Normaal gesproken worden daar 32 of 64 bits voor gebruikt. Punt is, dat het aantal bits beperkt is. En een ander punt is dat deze binaire manier van opslaan 'lastige' decimale getallen kent die je eigenlijk niet met dezelfde nauwkeurigheid kan weergeven als dat we in ons bekende decimale stelsel gewent zijn. (test &lt;a href="https://www.h-schmidt.net/FloatConverter/IEEE754.html" rel="nofollow" target="_blank"&gt;hier &lt;/a&gt;zelf wat decimale getallen zoals 0,1 of 45,45)&lt;br /&gt;
&lt;br /&gt;
Dus zomaar een eenvoudig voorbeeld. 1 Delen door 3. En later het (afgeronde antwoord) vermenigvuldigen met 3, geeft geen 1 meer. Tenminste niet als je zelf het aantal decimalen wat je ziet verhoogt.&lt;br /&gt;
Bij het rekenen met hoeken hebben we het getal Pi nodig. Ook dit is aan benadering.&lt;br /&gt;
Zo zou je nog wel meer voorbeelden kunnen verzinnen.&lt;br /&gt;
&lt;br /&gt;
Natuurlijk klinkt dit allemaal meer schokkend dan dat het in werkelijkheid is.&lt;br /&gt;
Gebruik je verstand. En vraag geen onmogelijke dingen van de computer.&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;O ja. Hier is een een Revit Idea die je kan steunen. Want af en toe hebben we hier écht last van.&lt;/div&gt;&lt;div&gt;&lt;a href="https://forums.autodesk.com/t5/revit-ideas/solve-floating-point-errors-starting-visually/idi-p/13201505"&gt;Solve floating point errors starting visually - Autodesk Community&lt;/a&gt;&lt;/div&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/8361900579973751781/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/8361900579973751781?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8361900579973751781" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8361900579973751781" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2019/09/revit-computer-nauwkeurigheid.html" rel="alternate" title="Revit / Computer nauwkeurigheid" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwRRP4wVJBQ_YCGE0He5EEFUZRQR6EdZwGBiwkck1p5G32OAcJWJXvRdF0zVb_SdvqJNzaNT72ZKXySsw3yyCZrw8Kt_0XpgZJtxiRRW-gnYySjOrp_BTYJTkRp9SpB6Sm3Xkxx2elHbVS/s72-c/Revit_Accuracy_crop.gif" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-5603077839216344342</id><published>2019-04-30T12:09:00.000-07:00</published><updated>2019-05-01T01:02:07.088-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="gelezen"/><category scheme="http://www.blogger.com/atom/ns#" term="PuntoRevit"/><category scheme="http://www.blogger.com/atom/ns#" term="Python"/><title type="text">Gelezen - Een uitstekend stuk over Dynamo op Punto Revit</title><content type="html">Vandaag kwam ik een uitstekend stuk van Paolo Emilio Serra op zijn blog Punto Revit tegen&lt;br&gt;
&lt;br&gt;
De blogpost zelf&lt;br&gt;
&lt;a href="http://puntorevit.blogspot.com/2018/12/dynamo-primer-slide-deck.html"&gt;http://puntorevit.blogspot.com/2018/12/dynamo-primer-slide-deck.html&lt;/a&gt;&lt;br&gt;
&lt;br&gt;
Op zijn blog zelf kun je onderaan een download naar zijn presentie vinden.&lt;br&gt;
&lt;br&gt;
Het is een enorme hoeveelheid tekst, maar erg aan te raden Het eerste deel is uitstekend voor beginnende Dynamo gebruikers. Maar ook gevorderde Dynamo gebruikers die hun kennis willen verdiepen of willen snuffelen aan Design Script en Python zullen verhelderende voorbeelden vinden in het tweede deel of meer achterin. Sla gerust pagina&amp;#39;s over als er &amp;#39;niks nieuws&amp;#39; staat het krijgt steeds meer inhoud.&lt;br&gt;
&lt;br&gt;
Ik vond ook wat stukjes huiswerk.&lt;br&gt;
Bijvoorbeeld hoe je een net stukje script met Python maakt. Ik verwacht er niet mijn geld mee te gaan verdienen maar zou toch graag wat meer structuur in mijn Python scripts willen kunnen maken. &lt;a href="https://www.python.org/dev/peps/pep-0008/" rel="nofollow" target="_blank"&gt;https://www.python.org/dev/peps/pep-0008/ &lt;/a&gt;&lt;br&gt;
&lt;br&gt;
Top Paolo! Hier heb ik wat aan.&lt;br&gt;
&lt;br&gt;
&lt;div class="MsoNormal"&gt;
Hieronder een samenvatting: &lt;span style="font-family: &amp;quot;Arial&amp;quot;,sans-serif; font-size: 10.0pt; letter-spacing: .35pt; mso-text-raise: 1.0pt; position: relative; top: -1.0pt;"&gt; &lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;span style="font-family: &amp;quot;Arial&amp;quot;,sans-serif; font-size: 10.0pt; letter-spacing: .35pt; mso-text-raise: 1.0pt; position: relative; top: -1.0pt;"&gt;&lt;/span&gt;&lt;/div&gt;
&lt;a href="https://ikleerbim.blogspot.com/2019/04/gelezen-een-uitstekend-stuk-over-dynamo.html#more"&gt;Meer lezen »&lt;/a&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/5603077839216344342/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/5603077839216344342?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5603077839216344342" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5603077839216344342" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2019/04/gelezen-een-uitstekend-stuk-over-dynamo.html" rel="alternate" title="Gelezen - Een uitstekend stuk over Dynamo op Punto Revit" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-4792666678028070189</id><published>2019-02-01T08:27:00.000-08:00</published><updated>2019-02-02T05:28:18.801-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="BIM"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Fire compartment"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Generating Fire Compartment floor level boundary elements with Dynamo </title><content type="html">Omdat het kan, en misschien ook wel omdat het soms moet...&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/SyOzu0zlR8c/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/SyOzu0zlR8c?feature=player_embedded" width="320"&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
Voor de mieren...&lt;br /&gt;
Alleen de onderliggende level heeft een correctie gekregen voor een extra sparing uit een ruimte&lt;br /&gt;
Je kan natuurlijk ook op een andere manier Revit content maken en meer eigenschappen aanpassen. Dit is een snelle en dirty oplossing. Je kan natuurlijk ook een Floor maken.&lt;br /&gt;
Je kan Rooms uit een Linked model halen. Maar niet met de native nodes de Boundary van een Room. Overigens wel weer de 3D geometry.&lt;br /&gt;
De&amp;nbsp;Room.CenterBoundary is meer logisch om te gebruiken. Maar dan zie je de vorm van de ruimtes&amp;nbsp; niet meer zo goed in voorbeeld...&lt;br /&gt;
&lt;div&gt;
Voor het voorbeeld heb ik alle Rooms gepakt. En die zitten toevallig op 2 Levels. In werkelijkheid wil je waarschijnlijk een andere selectiemethode maken.&lt;br /&gt;
Not placed Rooms zullen foutmeldingen geven. Er zijn andere Nodes om dat probleem op te lossen.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
</content><link href="https://ikleerbim.blogspot.com/feeds/4792666678028070189/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/4792666678028070189?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4792666678028070189" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4792666678028070189" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2019/02/generating-fire-compartment-floor-level.html" rel="alternate" title="Generating Fire Compartment floor level boundary elements with Dynamo " type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/SyOzu0zlR8c/default.jpg" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-5148838044489815555</id><published>2018-09-17T12:43:00.003-07:00</published><updated>2018-09-17T12:52:28.232-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="afschot"/><category scheme="http://www.blogger.com/atom/ns#" term="formule"/><category scheme="http://www.blogger.com/atom/ns#" term="Rc-waarde"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Void"/><title type="text">Uitdaging: Warmteweerstand van afschotisolatie in Revit </title><content type="html">Vandaag maar eens gekeken of het mogelijk is om de warmteweerstand van afschotisolatie in Revit&amp;nbsp; automatisch te laten berekenen.&lt;br /&gt;
&lt;br /&gt;
&lt;i&gt;Bedoel je de gemiddelde dikte?&lt;/i&gt;&lt;br /&gt;
Nee. Laten we deze oude &lt;a href="http://www.sbrcurnet.nl/producten/infobladen/dikte-van-afschotisolatie-handberekening" rel="nofollow" target="_blank"&gt;NPR norm&lt;/a&gt; maar eens als maatstaf nemen.&lt;br /&gt;
Hierbij telt de koudebrug harder mee dan de dikkere delen bij de bepaling van de warmteweerstand.&lt;br /&gt;
&lt;br /&gt;
&lt;i&gt;Gaat dit echt lukken dan?&lt;/i&gt;&lt;br /&gt;
Ehm nee, niet helemaal. Maar de hier volgende oplossing krijgt van mij zeker een 7,5. Want er zitten aan deze oplossing echt nadelen. Maar het biedt ook zeker mogelijkheden.&lt;br /&gt;
&lt;br /&gt;
Ik kon niet snel een normale manier verzinnen waarop Revit zicht bewust zou worden van de verlopende dikte van een Roof. Om op basis daarvan een Rc berekening kan maken. Daarom heb ik wat nieuws bedacht.&lt;br /&gt;
Een &lt;b&gt;Void Family, Roof Based&lt;/b&gt;. Deze hangt aan de bovenzijde van de Roof. Haalt met een Reporting Parameter de dikte van het dakpakket. En snijd vanaf onderaf een afschot plak uit het dakpakket. Eventeel rekening houdend met een goot als je dat wilt.&lt;br /&gt;
&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;En nee, je hebt dus geen dakbedekking Membrane Layer meer. Dit is een eerste minpunt.&lt;/li&gt;
&lt;li&gt;Een inwendig afschot is slecht te maken (bijvoorbeeld betontegels vlak en daaronder afschot)&lt;/li&gt;
&lt;li&gt;Pluspunt is dat het een void is en het dus geen last heeft van doorbrekingen. Bij verdere berekeningen zorgt dit dan wel weer voor een onnauwkeurigheid, wat weer een minpunt is.&lt;/li&gt;
&lt;li&gt;Pluspunt is dat de gootdikte of het laagste punt een Type Parameter kan zijn.&lt;/li&gt;
&lt;li&gt;Pluspunt is dat de afschothelling door de computer berekend wordt - dus geen rekenfouten.&lt;/li&gt;
&lt;li&gt;Pluspunt is dat je ook hulpmaten kan laten uitrekenen waar nodig (maximaal afschotlengte, maximale gootdikte, minimale dakrandhoogte etc.)&lt;/li&gt;
&lt;li&gt;Pluspunt is dat je met 1 Roof kan blijven werken. Waar je dan met deze Void Family meerdere plakken uit snijd.&lt;/li&gt;
&lt;li&gt;Pluspunt is dat je lekker kan door kopiëren en met Align, Mirror etc. een heel dakvlak kan opzetten.&lt;/li&gt;
&lt;li&gt;Minpunt is dat er minimale stukjes Geometry kunnen onstaan waar Revit niet van houdt... - lees: potentieel buggy -&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Minpunt is dat er&amp;nbsp;in de doorsnede visuele bugs kunnen ontstaan, wanneer de totale bovenzijde van de Roof wordt weggesneden. De Layer opbouw van de Roof kan daardoor in de war raken en maar 1 Hatch laten zien. Zoals gezegd een visuele bug.&lt;/li&gt;
&lt;li&gt;Pluspunt is dat je inderdaad een Rc berekening kan maken. Nou ja, heel dicht kan benaderen dan. ;-) Je hebt de Rc van 1 segment, wat al een aardige indicatie is. Voor het totale dak zijn wel alle benodigde gegevens aanwezig voor hergebruik in een Schedule.&lt;/li&gt;
&lt;/ul&gt;
&lt;div&gt;
Hieronder enkele afbeeldingen. Ze spreken hopelijk voor zichzelf.&lt;/div&gt;
&lt;div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhl1v5j4hb6dtndNDnOXt91OiNJb2F0VdeAyx5vSzprYTQwTDC8cmyAb4X8PyoCcXT72O4X7hV38f_fXwBsKZtDXahOZxqr_mi8mxnceWAwLM_R__zYU_AcinbMC6bSn4Y3lqseRqSMOLr5/s1600/1809017_3D.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="582" data-original-width="1208" height="192" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhl1v5j4hb6dtndNDnOXt91OiNJb2F0VdeAyx5vSzprYTQwTDC8cmyAb4X8PyoCcXT72O4X7hV38f_fXwBsKZtDXahOZxqr_mi8mxnceWAwLM_R__zYU_AcinbMC6bSn4Y3lqseRqSMOLr5/s400/1809017_3D.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Een Void Blend - met een minimaal benodigde opp. aan de Bottom.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4mxCQk5S61BqGiU2jp1XjqSUfUQkCbNu77rr-zDlMSbowrIFEqNSgJLoZ_K2ClE28QHcq2p-W6pXEulgcozIM-HxEe07bSfevsX6rSWjPR3fGeQGtNlBVbVOynE6NhvV8kutwRS2d9owJ/s1600/1809017_DRS.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="382" data-original-width="1156" height="131" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4mxCQk5S61BqGiU2jp1XjqSUfUQkCbNu77rr-zDlMSbowrIFEqNSgJLoZ_K2ClE28QHcq2p-W6pXEulgcozIM-HxEe07bSfevsX6rSWjPR3fGeQGtNlBVbVOynE6NhvV8kutwRS2d9owJ/s400/1809017_DRS.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;De doorsnede met 2 Voids op elkaar.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiM31A4r_F64_MN44YXIWX4wRnnKZwpnxyz0Jkd5jusvuQ7b2RWoCyG7dpBC2DR58be2DQ7UM4rnw9jdk9ImjE1OIga5jGFXr5UpO3H-IH7Jojy7waqWdkBmGrG-trflvg4nh2wTBYgo4Sq/s1600/1809017_PG.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="715" data-original-width="603" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiM31A4r_F64_MN44YXIWX4wRnnKZwpnxyz0Jkd5jusvuQ7b2RWoCyG7dpBC2DR58be2DQ7UM4rnw9jdk9ImjE1OIga5jGFXr5UpO3H-IH7Jojy7waqWdkBmGrG-trflvg4nh2wTBYgo4Sq/s400/1809017_PG.png" width="336" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;De linker- en rechter verlenging hebben een behoorlijke vrijheid om te bewegen (Reference Lines!). &lt;br /&gt;
Met behulp van formules moet je zorgen dat het er geen bugs ontstaan.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWawem8WjmDy9m9rGu0K1W6iNdOP_ER_dWwwRqR2Ap2Tz3vdELu12z4VagXPkXHCVjhUgTsC9PxEAY1GFcoVEpTilvmfdOKuASaIIq1z78XgdkX5et9w0iQhLplhg8mIrPvBvxu8Io0-BH/s1600/1809017_formula.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="513" data-original-width="1291" height="158" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWawem8WjmDy9m9rGu0K1W6iNdOP_ER_dWwwRqR2Ap2Tz3vdELu12z4VagXPkXHCVjhUgTsC9PxEAY1GFcoVEpTilvmfdOKuASaIIq1z78XgdkX5et9w0iQhLplhg8mIrPvBvxu8Io0-BH/s400/1809017_formula.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Een voorbeeld van de benodigde formules.&lt;br /&gt;
De A1, A2 en A3 m2 kunnen als Shared Parameters gerapporteerd worden &lt;br /&gt;
in een Schedule voor de afzonderlijke berekening van een totaal dakoppervlak.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;div&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;br /&gt;
In een&amp;nbsp;&lt;a href="http://ikleerbim.blogspot.com/2013/01/slim-tekenen-afschotisolatie-in-revit.html" target="_blank"&gt;eerdere (oude) post&lt;/a&gt;&amp;nbsp;heb ik al eens verteld hoe je een vroeg stadium de 3D BIM waarheid iets kan verdraaien. En sommige mensen schamen zich daar een beetje voor ;-). Maar als eerste opzet kan het prima inzicht verschaffen als opmaat voor een definitief product.&lt;br /&gt;
&lt;br /&gt;
Voor een definitief product het je meestal een handigheidje nodig die beschreven is in een&amp;nbsp;&lt;a href="http://ikleerbim.blogspot.com/2014/01/slim-tekenen-afschotisolatie-in-revit.html" target="_blank"&gt;ander post&lt;/a&gt;. Met een Vertical Opening, of een met Shaft zoals Ramon terecht opmerkt. Behoud je prima je indelingsvrijheid.</content><link href="https://ikleerbim.blogspot.com/feeds/5148838044489815555/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/5148838044489815555?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5148838044489815555" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5148838044489815555" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2018/09/uitdaging-warmteweerstand-van.html" rel="alternate" title="Uitdaging: Warmteweerstand van afschotisolatie in Revit " type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhl1v5j4hb6dtndNDnOXt91OiNJb2F0VdeAyx5vSzprYTQwTDC8cmyAb4X8PyoCcXT72O4X7hV38f_fXwBsKZtDXahOZxqr_mi8mxnceWAwLM_R__zYU_AcinbMC6bSn4Y3lqseRqSMOLr5/s72-c/1809017_3D.png" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-5897890077783855297</id><published>2018-05-18T09:11:00.002-07:00</published><updated>2018-05-18T09:11:56.882-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Mirrored"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Mirrored elements in your BIM</title><content type="html">Just a
little Dynamo script to find mirrored elements in Revit. And change a parameter
if you like.&lt;br /&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;There are
some discussions on mirrored elements in Revit. Revit doesn’t show them natively.
Furthermore In the real world mirrored doesn’t exist. But your digital BIM isn’t
the real world. So are we doubling are efforts and time to actually model every
mirrored element again but mirrored. Or are we using the hidden treasures. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;And of
course safety first. Write a date to your project information. So everybody
would know if mirrored is being checked.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEhDqNPtvuiUIUdOJ2doRb39QiUWpE5o3t4giUT0_1nSwvjiJfpZsITw5Sx5qCIpN3bzhhrRVO3n0lnSgRzzhZQWxE36YNTRji6fpsqLFw8vKaDH1A74y37mVgbJ02gJOcZMmzXauB0K7F/s1600/hele_script.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="793" data-original-width="1600" height="158" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEhDqNPtvuiUIUdOJ2doRb39QiUWpE5o3t4giUT0_1nSwvjiJfpZsITw5Sx5qCIpN3bzhhrRVO3n0lnSgRzzhZQWxE36YNTRji6fpsqLFw8vKaDH1A74y37mVgbJ02gJOcZMmzXauB0K7F/s320/hele_script.png" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
The core of this script is little Python:&lt;br /&gt;
&lt;br /&gt;
lstIN = UnwrapElement(IN[0])&lt;br /&gt;
lstOUT = list()&lt;br /&gt;
for item in lstIN:&lt;br /&gt;
&lt;span style="white-space: pre;"&gt; &lt;/span&gt;try:&lt;br /&gt;
&lt;span style="white-space: pre;"&gt;  &lt;/span&gt;lstOUT.append(item.Mirrored)&lt;br /&gt;
&lt;span style="white-space: pre;"&gt; &lt;/span&gt;except:&lt;br /&gt;
&lt;span style="white-space: pre;"&gt;  &lt;/span&gt;lstOUT.append(None)&lt;br /&gt;
OUT = lstOUT&lt;br /&gt;
&lt;br /&gt;
Stil we would love a real time solution from Autodesk itself. Or a real time Addin.&lt;br /&gt;
Perhaps more news later. keep an eye on&amp;nbsp;#PropertyWizard.&lt;br /&gt;
&lt;br /&gt;
You can download with &lt;a href="https://goo.gl/ir3di9" target="_blank"&gt;this link&lt;/a&gt;&lt;br /&gt;
Have fun, but use at your own risk.</content><link href="https://ikleerbim.blogspot.com/feeds/5897890077783855297/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/5897890077783855297?isPopup=true" rel="replies" title="2 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5897890077783855297" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5897890077783855297" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2018/05/mirrored-elements-in-your-bim.html" rel="alternate" title="Mirrored elements in your BIM" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEhDqNPtvuiUIUdOJ2doRb39QiUWpE5o3t4giUT0_1nSwvjiJfpZsITw5Sx5qCIpN3bzhhrRVO3n0lnSgRzzhZQWxE36YNTRji6fpsqLFw8vKaDH1A74y37mVgbJ02gJOcZMmzXauB0K7F/s72-c/hele_script.png" width="72"/><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-8739999481385677139</id><published>2018-03-23T09:11:00.001-07:00</published><updated>2018-03-23T09:26:34.213-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Cut Geometry"/><category scheme="http://www.blogger.com/atom/ns#" term="CutWithVoidWhenLoaded"/><category scheme="http://www.blogger.com/atom/ns#" term="Family"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Family not cutting mutiple objects</title><content type="html">A Door or a Window can easily cut multiple objects.&lt;br /&gt;
But what about other objects hosted in a Roof, Floor or Ceiling...&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1RRGxFzDoszYl8tSXdSyswbO6Yod9tGe88AFYeYQcVRxLuCokUiBtGBDc1oQyTb1pb4pIAgXZozvZmqXKKTW3JdC0rsHxxpMBOFfpQiTpYsQnQ8JOhEx27zxAhyphenhyphenHq0zh7l0qL-Hfi9oP3/s1600/180323_CutWithVoidsWhenLoaded.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="900" data-original-width="1600" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1RRGxFzDoszYl8tSXdSyswbO6Yod9tGe88AFYeYQcVRxLuCokUiBtGBDc1oQyTb1pb4pIAgXZozvZmqXKKTW3JdC0rsHxxpMBOFfpQiTpYsQnQ8JOhEx27zxAhyphenhyphenHq0zh7l0qL-Hfi9oP3/s400/180323_CutWithVoidsWhenLoaded.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;/div&gt;
&lt;br /&gt;
Open the Family. Uncut the Void from the Host object.&lt;br /&gt;
Ensure that the Family has "Cut With Voids When Loaded" enabled.&lt;br /&gt;
Load the Family in your Project.&lt;br /&gt;
Now you can manually Cut the Void in this Family with Ceilings, Floors Roofs, just as you like.&lt;span style="text-align: center;"&gt;&amp;nbsp;&lt;/span&gt;&lt;br /&gt;
&lt;span style="text-align: center;"&gt;I know it sounds basic. But still good to remember from time to time.&lt;/span&gt;&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/8739999481385677139/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/8739999481385677139?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8739999481385677139" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/8739999481385677139" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2018/03/family-not-cutting-mutiple-objects.html" rel="alternate" title="Family not cutting mutiple objects" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1RRGxFzDoszYl8tSXdSyswbO6Yod9tGe88AFYeYQcVRxLuCokUiBtGBDc1oQyTb1pb4pIAgXZozvZmqXKKTW3JdC0rsHxxpMBOFfpQiTpYsQnQ8JOhEx27zxAhyphenhyphenHq0zh7l0qL-Hfi9oP3/s72-c/180323_CutWithVoidsWhenLoaded.png" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-5230000513693727892</id><published>2018-03-09T02:19:00.000-08:00</published><updated>2018-03-09T03:45:15.089-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Curtain Panel"/><category scheme="http://www.blogger.com/atom/ns#" term="Curtain Wall"/><category scheme="http://www.blogger.com/atom/ns#" term="Mullions"/><category scheme="http://www.blogger.com/atom/ns#" term="Phasing"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><title type="text">Phasing in a Curtain Wall</title><content type="html">&lt;br /&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;You cannot change
the Phasing of Mullions / Curtain Panels in a Curtain Wall.&amp;nbsp;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;It is directly
related to the Phasing of the Wall as a whole. But…&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;/div&gt;
&lt;ul&gt;
&lt;li&gt;Shared
Nested Families in a Curtain Panel are a bit slow and remain there old Phasing
when the Phasing of the Wall changes…&lt;/li&gt;
&lt;li&gt;You can
make Parts of a Wall as a Curtain Panel and change the Phasing.&lt;/li&gt;
&lt;li&gt;And most interesting
– you can make an Assembly of Mullions and Curtain Panels. And then change the
Phasing of the Assembly!&lt;/li&gt;
&lt;/ul&gt;
&lt;br /&gt;
&lt;div class="MsoNormal"&gt;
&lt;span lang="EN-GB" style="mso-ansi-language: EN-GB;"&gt;&lt;o:p&gt;&amp;nbsp;&lt;/o:p&gt;&lt;/span&gt;Still you
cannot swap an existing Panel for a new one. But it is a start.&lt;/div&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgv601sIC3psl1yA2tS8m5x5G7Q0AhG-e_5hsEMh1MJujqeBYy8ZNpS3v50IHnzNV2afYL0SHyfHqX3kfJqR-gmNpibveDpp_KBuL7Deairqeg0x2j95YF5wB0IY96qi-kD7VWwJkEdTJ9M/s1600/180309_Phasing_CurtainWall.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="585" data-original-width="979" height="238" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgv601sIC3psl1yA2tS8m5x5G7Q0AhG-e_5hsEMh1MJujqeBYy8ZNpS3v50IHnzNV2afYL0SHyfHqX3kfJqR-gmNpibveDpp_KBuL7Deairqeg0x2j95YF5wB0IY96qi-kD7VWwJkEdTJ9M/s400/180309_Phasing_CurtainWall.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Change the Phasing of Curtain Panels and Mullions&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;div class="MsoNormal"&gt;
&lt;br /&gt;&lt;/div&gt;
</content><link href="https://ikleerbim.blogspot.com/feeds/5230000513693727892/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/5230000513693727892?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5230000513693727892" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/5230000513693727892" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2018/03/phasing-in-curtain-wall.html" rel="alternate" title="Phasing in a Curtain Wall" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgv601sIC3psl1yA2tS8m5x5G7Q0AhG-e_5hsEMh1MJujqeBYy8ZNpS3v50IHnzNV2afYL0SHyfHqX3kfJqR-gmNpibveDpp_KBuL7Deairqeg0x2j95YF5wB0IY96qi-kD7VWwJkEdTJ9M/s72-c/180309_Phasing_CurtainWall.PNG" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-1267727920409181460</id><published>2018-02-12T12:32:00.005-08:00</published><updated>2022-09-13T22:36:36.196-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="BIM"/><category scheme="http://www.blogger.com/atom/ns#" term="BIM Basis ILS"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="IFC"/><category scheme="http://www.blogger.com/atom/ns#" term="Mapping"/><category scheme="http://www.blogger.com/atom/ns#" term="NL-RS"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Tool"/><title type="text">Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden -UPDATE-</title><content type="html">&lt;div style="text-align: center;"&gt;
&lt;div style="text-align: left;"&gt;
&lt;i&gt;&lt;span style="color: red;"&gt;Laatste Update in de Download - &lt;b&gt;14-09-2022&lt;/b&gt;&lt;/span&gt;&lt;/i&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;i&gt;Iemand vroeg me vandaag:"&lt;b&gt;Waarom zo'n tool?&lt;/b&gt;".&amp;nbsp;&lt;/i&gt;&lt;/div&gt;
&lt;div style="text-align: center;"&gt;
&lt;i&gt;Voor diegene die het nog niet door heeft. De wereld en ook de bouw wordt steeds meer digitaal. Kwaliteit zit tegenwoordig mede in de consistente en betrouwbare digitale structuur die je aanlevert. En dat wordt alleen maar belangrijker. Een hulpmiddel als deze, is gemaakt om daarbij te helpen. Zowel op het gebied van tijd als van kwaliteit. Daarnaast is het belangrijk dat 'standaarden' eenvoudig te realiseren zijn, om echt standaard te worden.&amp;nbsp;&lt;/i&gt;&lt;/div&gt;
&lt;div style="text-align: center;"&gt;
&lt;i&gt;Daar heeft iedereen belang bij.&lt;/i&gt;&lt;/div&gt;
&amp;nbsp; &lt;br /&gt;
Sinds de lancering van &lt;a href="http://ikleerbim.blogspot.nl/2017/09/tool-om-een-revit-project-af-te-stemmen.html" target="_blank"&gt;deze tool op 30 september 2017&lt;/a&gt; is de tool verder verbeterd en uitgebreid. Ook zijn er 2 filmpjes gemaakt om de tool aan het werk te zien. Er is een korte en stoere presentatie. En er is een langere film gemaakt, die meer ingaat op de details en het gebruik van de tool.&lt;br /&gt;
&lt;br /&gt;
Op de &lt;a href="http://www.revitgg.nl/nieuws/revit-ifc-gebruikersdag-presentaties" rel="nofollow" target="_blank"&gt;site van de RevitGG&lt;/a&gt; is ook de presentatie te vinden en &lt;a href="http://www.revitgg.nl/download/1575/" rel="nofollow" target="_blank"&gt;te downloaden&lt;/a&gt; die ik op 9 november heb mogen geven tijdens een gezamenlijke dag van de RevitGG en BuildingSmart.&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/YFSEdXGlHlM/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/YFSEdXGlHlM?feature=player_embedded" width="320"&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;div style="text-align: center;"&gt;
&lt;span style="font-size: x-small;"&gt;Korte introductiefilm&lt;/span&gt;&lt;/div&gt;
&lt;div style="text-align: center;"&gt;
&lt;/div&gt;
&lt;br /&gt;
In de LOG file staat uitgebreid beschreven wat er veranderd is.&lt;i&gt; - laatste update 13-07-2019 -&amp;nbsp; &lt;/i&gt;&lt;br /&gt;
Maar in hoofdlijnen gaat het om: &lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;&lt;u&gt;De Function parameter is toegevoegd&lt;/u&gt;: &lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Met deze parameter kan je in Revit aangeven of bijvoorbeeld een wand Interior of Exterior is. Dit is 1 van de zaken waar de BIM Basis ILS om vraagt.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;De Function parameter wordt bepaald in de volgorde:&lt;/li&gt;
&lt;ul&gt;&lt;/ul&gt;
&lt;ol&gt;
&lt;li&gt;Handmatig opgegeven&lt;/li&gt;
&lt;li&gt;“binnen” of “buiten” als onderdeel van de Type Name.&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Een 'binnenspouwblad' wordt dus Interior&amp;nbsp;&lt;/li&gt;
&lt;li&gt;en KZS_120 wordt eventueel Exterior &lt;/li&gt;
&lt;/ul&gt;
&lt;li&gt;De NL-SfB codering&lt;/li&gt;
&lt;li&gt;De oude waarde handhaven&amp;nbsp;&lt;/li&gt;
&lt;/ol&gt;
&lt;ul&gt;
&lt;li&gt;Er is ook een alternatieve formule gemaakt om nummer 2 en 3 om te draaien&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;&lt;u&gt;IFC&lt;/u&gt;:&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Naar aanleiding van uitgebreide test op ondersteunde en niet ondersteunde IFC entiteiten in Revit, zijn de standaard NL-SfB naar Ifc mappingtabellen en de keuzelijsten aangepast. Zie ook de SourceForge Site van IFC for Revit: &lt;a href="https://sourceforge.net/p/ifcexporter/wiki/Supported%20IFC%20Entities/#469f" rel="nofollow" target="_blank"&gt;IFC2x3&lt;/a&gt; en voor &lt;a href="https://sourceforge.net/p/ifcexporter/wiki/Supported%20IFC%20Entities/#ca34" rel="nofollow" target="_blank"&gt;IFC4&lt;/a&gt;&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;&lt;i&gt;28-05-2018 - In aanvulling hierop nog het volgende. De testen zijn uitgevoerd met Open Source Exporter versie&amp;nbsp;&lt;a href="https://sourceforge.net/projects/ifcexporter/files/2018/" target="_blank"&gt;IFC for Revit 2018 v18.2.0.&lt;/a&gt; De daaropvolgende tussen versies leken een stap terug te zijn. Als je foutmeldingen krijgt bij het exporteren naar IFC, IFC gerelateerde Warnings krijgt, of ontbrekende geometrie hebt in de IFC adviseer ik de laatste versie te gebruiken. Controleer ook altijd de IFC met een andere viewer. Er zijn aanzienlijke verschillen tussen de viewers onderling. De fout zit niet per definitie in de IFC maar kan ook zeker in de ontvangende software zitten. Hopelijk is dat voldoende. &lt;a href="https://sourceforge.net/projects/ifcexporter/files/2018/"&gt;https://sourceforge.net/projects/ifcexporter/files/2018/&lt;/a&gt;&lt;/i&gt;&lt;/li&gt;
&lt;li&gt;&lt;i&gt;De laatste aanvullingen van Add2TC1 zijn zover mogelijk ook doorgevoerd.&lt;/i&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;li&gt;Alle onderdelen krijgen nu een ingevulde IfcExportAs waarde. Als deze parameter tenminste aanwezig is in Revit. Deze is waar mogelijk gebaseerd op de NL-SfB. Maar anders valt de waarde terug op de Category mapping van de Revit Standards. Deze aanpassing moet meer inzicht geven in wat er gaat gebeuren met elk onderdeel bij een export naar IFC. Tip: een IfcOpeningElement - gekoppeld aan 31.10 en 32.10 is inderdaad een openingen in je IFC. Kies een andere NL-SfB code als je een kozijn bedoeld.&lt;/li&gt;
&lt;li&gt;De hyperlink van een IfcEntiteit verwijst nu naar Addendum 2 van IFC4 op de vernieuwde website van BuildingSmart.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;&lt;u&gt;Dynamo&lt;/u&gt;:&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Er is inmiddels een Dynamo 2 map toegevoegd met bijbehorende scripts. En als er toch problemen zijn graag melden. &lt;/li&gt;
&lt;li&gt;Er ontbraken nog een paar Revit Categorieën vanwege wat Dynamo beperkingen. Deze laatsten zijn nu ook toegevoegd. Dynamo 2 heeft weer nieuwe problemen met het vinden van een Category. Gelukkig betreft het hier alleen enkele ondergeschikte annotatie categorieën. &lt;/li&gt;
&lt;li&gt;Er is nu een uitgebreidere rapportage voor gebruik met de Dynamo Player.&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;&lt;i&gt;p.s.&amp;nbsp;Ik heb er voor gekozen om Dynamo Warnings niet te voorkomen. Als er in Excel een aanpassing is gedaan, verwacht je dat dit in Revit wordt verwerkt. Als dit om (meestal voor de hand liggende) redenen niet lukt. Geef ik liever een gespecificeerde melding in de sheet Dynamo_Error_Report. Als je een Dynamo Warning krijgt is dit dus niet vreemd. Check de elementen in die sheet handmatig. zie ook de uitgebreide film na 20:40min.&lt;/i&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;&lt;u&gt;Invoer&lt;/u&gt;:&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Er zijn voorbeeld formules toegevoegd voor de invoer. En ook een referentie Sheet om alles sneller in te kunnen vullen. Het werkt nog steeds op basis van “what you see is what you get”. Dus bevalt de uitkomst van de formule niet? Dan tik je gewoon de juiste waardes is. Waarom en hoe kan je zien in de films.&lt;/li&gt;
&lt;li&gt;Bij het herleiden van de juiste 4-cijferige NL-SfB code reageren de formules in Excel beter op afwijkende bestaande invoer in de Assembly Code.&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
&lt;ul&gt;&lt;/ul&gt;
Belangrijk blijft:&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt;Gebruik van deze tool &lt;u&gt;op eigen risico&lt;/u&gt; (al gebruiken we het zelf ook)&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Altijd synchroniseren voor je gebruik maakt van een Dynamo Script.&lt;/li&gt;
&lt;li&gt;Altijd de hele invoer sheet ‘resetten’ door de 1 van de 2 onderste rijen over het invulveld tot de gele headers heen te kopiëren. Daardoor voorkom je dat oude handmatige invoer je project vervuild.&lt;/li&gt;
&lt;li&gt;&lt;i&gt;Snap je bovenstaande opmerkingen niet? Een reden te meer om onderstaand filmpje te bekijken voor je de tool gaat testen.&amp;nbsp;&lt;/i&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/ul&gt;
De tool is &lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;a href="https://drive.google.com/file/d/0B27BdK5ykcYhRV9ISHc3WmdBcWs/view?usp=sharing" target="_blank"&gt;HIER &lt;/a&gt;&lt;/b&gt;&lt;/span&gt;te downloaden. Of gebruik &lt;a href="https://github.com/Teun1/Tool-om-een-Revit-Project-af-te-stemmen-op-de-Nederlandse-BIM-standaarden" target="_blank"&gt;Github&lt;/a&gt;.&lt;br /&gt;
&lt;i&gt; &lt;/i&gt;Als er vragen of opmerkingen zijn hoor ik dat natuurlijk graag. Daar hebben we allemaal wat aan! Meerdere mensen zijn je al voor geweest. Tot nu toe was allemaal goed en snel oplosbaar.&lt;br /&gt;
&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/3KH1NsXcWgA/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/3KH1NsXcWgA?feature=player_embedded" width="320"&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;div style="text-align: center;"&gt;
&lt;span style="font-size: x-small;"&gt;Hoe gebruik je de tool?&lt;/span&gt;&lt;/div&gt;
&lt;ul&gt;&lt;ul&gt;&lt;/ul&gt;
&lt;/ul&gt;
</content><link href="https://ikleerbim.blogspot.com/feeds/1267727920409181460/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/1267727920409181460?isPopup=true" rel="replies" title="2 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/1267727920409181460" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/1267727920409181460" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2018/02/tool-om-een-revit-project-af-te-stemmen.html" rel="alternate" title="Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden -UPDATE-" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/YFSEdXGlHlM/default.jpg" width="72"/><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-6506606414348015188</id><published>2017-09-30T02:45:00.002-07:00</published><updated>2022-09-13T22:35:56.274-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Basis ILS"/><category scheme="http://www.blogger.com/atom/ns#" term="BIM Standards"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Excel"/><category scheme="http://www.blogger.com/atom/ns#" term="IFC"/><category scheme="http://www.blogger.com/atom/ns#" term="Mapping"/><category scheme="http://www.blogger.com/atom/ns#" term="NL-RS"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Tool"/><title type="text">Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden</title><content type="html">&lt;div class="MsoNormal"&gt;
&lt;div style="text-align: right;"&gt;
&lt;i style="font-weight: normal;"&gt;
Today is another D-Day.&lt;/i&gt;&lt;/div&gt;
&lt;div style="text-align: right;"&gt;
&lt;i style="font-weight: normal;"&gt;&lt;br /&gt;&lt;/i&gt;&lt;/div&gt;
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Na een lange tijd van nadenken, maken en aanscherpen stel ik
vandaag, ook namens RoosRos architecten een eerste versie beschikbaar van een nieuwe tool. Deze tool heb ik
gemaakt voor Revit modelleurs om sneller en beter aan meerdere BIM standaarden
te kunnen voldoen. Het zijn veelgebruikte Nederlandse standaarden. De &lt;a href="http://www.bimloket.nl/BIMbasisILS" rel="nofollow" target="_blank"&gt;Basis ILS&lt;/a&gt;
en de &lt;a href="https://www.revitstandards.org/" rel="nofollow" target="_blank"&gt;NL-RS Revit Standards&lt;/a&gt;. De tool lost natuurlijk niet alles op maar automatiseert
wel die onderdelen die daarvoor geschikt zijn. Ook is de tool aanpasbaar voor de
nodige flexibiliteit.&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Dat de tool werkt, bleek wel toen ik de Revit Standard
Template als proef gebruikte. Enerzijds zie je dan hoe ongelofelijk compleet en
zorgvuldig deze in elkaar is gezet. Maar toch haalt de tool er nog steeds omissies
uit. Mensen zijn nou eenmaal geen computers. En als een standaard die met
zoveel aandacht gemaakt is al kleine foutjes bevat, hoe zit het dan met een
normaal project…&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style="text-align: center;"&gt;
&lt;iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/W7vvzsKZX_A/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/W7vvzsKZX_A?feature=player_embedded" width="320"&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;h4&gt;
Wat doet de tool wel en wat niet.&lt;/h4&gt;
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
De tool helpt om de gecodeerde onderdelen in de &lt;u&gt;naamgeving van
bijna alle Revit Families en Types &lt;/u&gt;vast te stellen op basis van de
Revit Standards afspraken. En kan die vervolgens weer wijzigen in Revit.&lt;br /&gt;
Dit geld niet voor de Materials en ook niet voor de Filled Regions omdat die "een afwijkende afspraak" hebben. Je zou kunnen zeggen dat je beter die onderdelen uit de Revit Standard
Template kan gebruiken, dan dat de naamgeving in Revit worden aangepast. Overigens lijken het
geen verplichte onderdelen te zijn.&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;br /&gt;
De tool helpt bij het kiezen van een &lt;u&gt;Assembly Code&lt;/u&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Het invullen van deze code is verplicht bij de Basis ILS. En
daarnaast gebruik ik het eerste deel van deze 4-cijferige code voor in de naamgeving van het object. Sterker nog. Als je de 2-cijferige NL-Sfb code in de naamgeving wilt aanpassen &lt;i&gt;zul je eerst de Assembly Code moeten aanpassen&lt;/i&gt;.&lt;br /&gt;
Ik maak
gebruik van de UniformatClassifications_NL-SfB die de Revit Standards
meesturen.&amp;nbsp; Als je deze niet gebruikt in
Revit zal je niet optimaal gebruik kunnen maken van deze tool. Sterker nog, de
tool zal proberen de Assembly Code aan te passen op basis van een verkeerde
tabel - kijk uit dus. &lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Maar het invullen van de Assembly Code geeft ook een eerste
aanzet voor een juiste &lt;u&gt;IFC mapping&lt;/u&gt;. De tool nodigt uit echt meer te halen uit
de IFC. Natuurlijk kan je daar heel veel meer woorden aan vuil maken: Niet
alles is ondersteund, veel onderdelen zijn ‘hardcoded’ etc. Maar het is goed
dat er beweging in blijft en dat het allemaal wat toegankelijker wordt. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
De mapping tussen Assembly Code (NL-Sfb) en ifcEntiteit is
nog niet compleet (ik ben nu gestopt bij 51 anders komt het nooit klaar). En
ook inhoudelijk mag en kan, er best gediscussieerd worden over welke ifcEntiteit
nu de juiste is. Ook is op enkele plekken de relatie niet 1 op 1 te maken en val
je terug op de Revit Category Mapping. Dan blijft de mapping vooralsnog leeg. Eventueel
maken we in de toekomst de mapping matrix een laag dieper door het aan te vullen met de Revit Category.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Het is ook goed te beseffen dat het een voorstel/principe
mapping is. Je kan per object een betere ifcEntiteit kiezen uit een drop down list.&lt;br /&gt;
Waar nodig is de link naar de online Building-Smart documentatie ook aanwezig &amp;gt;&amp;gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Wat betreft de Basis ILS. Veel afspraken hebben te maken met
de opbouw van een project (0-punt, bestandnamen, lagenindeling, doublures, gebruik van een correct materiaal –wat dat ook is-). Daar helpt de
tool natuurlijk niet bij. Loadbearing is in Revit een Instance Parameter en brandwerendheid
wordt ook vaak op Instance niveau opgelost. Daar helpt de tool ook niet bij
want de tool kijkt op Type niveau. In en Uitwendig kan in de volgende versie
wel worden meegenomen. Ook deze heeft een relatie met de Assembly Code – NL-Sfb
4-cijferig.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
De tool helpt vooral met benaming van elementen, ifcEntiteit. En dus ook
met het mogelijk maken van de bijbehorende Common Property set. Maar als een
trap met een Model-in-Place functie of als Generic Model wordt gemaakt … zul je toch
echt met elkaar moeten gaan praten of dit juist een vreselijk goede of juist vreselijk
slechte oplossing is. Eventueel kan&amp;nbsp;&lt;a href="https://goo.gl/4N296T" rel="nofollow" target="_blank"&gt;de volgende site&lt;/a&gt; een 'oplossing' bieden &#128522;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;h4&gt;
Hoe gebruik je de tool.&lt;/h4&gt;
&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
In de eerste plaats: &lt;u&gt;op eigen verantwoordelijkheid&lt;/u&gt;. Begrijp
me goed. Ik ga er zelf ook mee aan de gang en zou dat niet doen als ik er geen
vertrouwen in had. Maar ik wil geen gezeur.&amp;nbsp;&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Dus eerst Revit Synchroniseren of het Project opslaan. En
dan pas aan de gang. Dit is sowieso een goede gewoonte als je met Dynamo aan de
gang gaat. Houd altijd een backup achter de hand. Mocht het toch nodig zijn.&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;
De tool is &lt;a href="https://drive.google.com/open?id=0B27BdK5ykcYhRV9ISHc3WmdBcWs" target="_blank"&gt;HIER &lt;/a&gt;te downloaden. Download dit en zet alles bij elkaar in 1 map naar keuze zodat de relatieve verwijzingen blijven werken. Eventueel kan je de .DYF bestanden verwijderen als je al over de bijbehorende Packages beschikt. De verwachting is wel, dat er in de loop van de tijd meerdere aanpassingen aan de bestanden in .ZIP file gedaan gaan worden. Ik zal dan de bronbestanden gewoon veranderen. Het plan is wel om dan het een en ander van een log met datum te gaan voorzien.&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
In de download ZIP zitten 2 Dynamo scripts: BIM_Standaard__Excel_naar_Revit.dyn
en BIM_Standaard__Revit_naar_Excel.dyn. &amp;nbsp;De namen spreken voor zich. In de scripts
zitten enkele Nodes uit Packages die ik nodig had. (Clockwork, Rhythm, Springs) Voor de zekerheid heb ik
deze .DYF Nodes ook los in de ZIP file zitten.&lt;br /&gt;
Ook kan je het enigszins aangevulde NL-RS
excel bestand 160222_NLRS2.5.2_Naamgeving componenten.xlsx vinden in het .ZIP bestand. Hierin staan de naamgevingsafspraken van de Revit Standards op de Sheets pos1 t/m
pos7.&lt;br /&gt;
Over de kleine aanpassingen in dit Excel document, wellicht op een ander moment meer.
Er zijn wel paar nieuwe Sheets aangemaakt. Dynamo maakt de Sheets Dynamo_Written
en Dynamo_Error_Report aan. En overschrijft deze elke keer weer. Er zijn nog 2
instellingen Sheets: UniformatClassifications_NL-SfB en IFC Settings. De eerste
Sheet spreekt voor zich. En de Sheet IFC Settings bevat alle benodigde lijsten
met IFC benamingen.&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgekiLT2UiKdXPPbBiETOWBcZVU4d5ooH8S7GAU_U-undYPBvoe_fXlwXOocrEC0vvu0keZWAWMcMvW5p1yywCVBvr83bvRNp4x-MJ8vzhojdMwoTn4iSj-eEoF2xAhw0zPNpyqwUBhIlRl/s1600/170929_Family_Name.png" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" data-original-height="499" data-original-width="1379" height="143" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgekiLT2UiKdXPPbBiETOWBcZVU4d5ooH8S7GAU_U-undYPBvoe_fXlwXOocrEC0vvu0keZWAWMcMvW5p1yywCVBvr83bvRNp4x-MJ8vzhojdMwoTn4iSj-eEoF2xAhw0zPNpyqwUBhIlRl/s400/170929_Family_Name.png" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
De Sheet waar je daadwerkelijk mee aan de gang gaat is &lt;u&gt;de
groene Dynamo_Read&lt;/u&gt;. Als je het prettiger vindt zou je alle andere Sheets, op de
door Dynamo beheerde na, kunnen verbergen.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;br /&gt;
Voor het gebruik van de Sheet heb ik mijn best gedaan om zo veel
mogelijk visuele feedback te geven. Dus grijs betekend: ter info. Witte cellen kan je
invullen. Rood bruin geeft de waarschuwing dat een onderdeel aandacht
behoeft. En groen betekend dat een waarde veranderd gaat worden.&lt;br /&gt;
Wat ook opvalt
zijn oranje Revit Categorieën. Deze onderdelen zijn oranje gemaakt omdat ze wel Families en Types
zijn, maar dat deze Revit Categorie ontbreekt in de tabel voor positie 3. Dit
kan later in overleg met RS foundation welicht worden recht getrokken. De oplossing voor veel
onderdelen die missen liggen overigens redelijk voor de hand.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
De koppen boven de kolommen spreken ook voor zich. En per eigenschap kunnen er meerdere kolommen zijn. Bijvoorbeeld, de Family Name bevat de kolom – OLD
– en – NEW -, naast 3 kolommen die gezamenlijk de nieuwe Family Name gaan
vormen. Als je niks invult bij Description dan veranderd de nieuwe naam niet.&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Deze Sheet staat natuurlijk stampvol met formules en
voorwaardelijke opmaak. Dat is heel handig voor tijdens het werken. Maar als je
van project switched wil je natuurlijk niet dat alle handmatig ingevulde cellen
het nieuwe project gaan vervuilen. Je moet tenslotte weer schoon beginnen. Daar kun je natuurlijk een Excel macro voor schrijven of desnoods opnemen. &amp;nbsp;Of je kopieert elke keer handmatig een schone
regel over de hele lijst heen. Je zou rij 1958 daarvoor kunnen gebruiken. Dit stukje
zorgvuldigheid is echt nodig om brokken te voorkomen. Verder kan er volgens mij
niet echt veel stuk. Uiteindelijk is het "what you see is what you get".&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi20PqjfDtms8kkPg-m9GQGhgvMHt47naFDDQYfrNgu248PRXnTHuDE4aH61hx358CsDaJuiSucjXoOx-XnLBJ1zxLYy3IGhyXay8MVOHvGJz2mOl2Fj5H9IwwPEOx_ZToYTT7jfVBaUPqd/s1600/170929_Export_Dynamo.png" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="262" data-original-width="1600" height="65" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi20PqjfDtms8kkPg-m9GQGhgvMHt47naFDDQYfrNgu248PRXnTHuDE4aH61hx358CsDaJuiSucjXoOx-XnLBJ1zxLYy3IGhyXay8MVOHvGJz2mOl2Fj5H9IwwPEOx_ZToYTT7jfVBaUPqd/s400/170929_Export_Dynamo.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;BIM_Standaard__Revit_naar_Excel.dyn&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Met het eerste Dynamo Script schrijf je alle Types in het
Project weg naar de Sheet Dynamo_Written. Misschien duurt het even, als er veel
weggeschreven moet worden. Ook kan je het gevoel hebben dat Excel zijn scherm
niet goed ververst. Maar als Dynamo klaar is klik je op Excel en ga je naar de
Sheet Dynamo_Read en wijzigt alles wat wilt wijzigen. Gewijzigde onderdelen
worden groen aangegeven. Ga dan weer terug naar Dynamo en start het script BIM_Standaard__Excel_naar_Revit.dyn.
Dynamo leest vervolgens de Sheet Dynamo_Read. Alle kolommen die – NEW – heten gebruikt
Dynamo als input voor mogelijke wijzigingen in Revit. Ook dit kan even duren
afhankelijk van hoeveel wijzigingen het betreft. Als Dynamo klaar is, schrijft
Dynamo in de Sheet Dynamo_Error_Report welke onderdelen mislukt zijn. Misschien
dat in toekomstige versie hier ook de gelukte onderdelen moeten komen, maar nu dus
nog niet.&lt;o:p&gt;&lt;/o:p&gt;&lt;br /&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijSsT372IQq9lEE-mJqOzGWcphu2KEFb3OlCehMH8xoHk5gOvvOahdic6WRRXb3HNv-iqcBT8PsiSq6sOQUX4aJ6ScfRYusMQzpLeloyNwOJXC99TxfJEy4Xvf5_68NRDMkB2yWFtJJimZ/s1600/170929_Import_Dynamo.png" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="186" data-original-width="1600" height="46" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEijSsT372IQq9lEE-mJqOzGWcphu2KEFb3OlCehMH8xoHk5gOvvOahdic6WRRXb3HNv-iqcBT8PsiSq6sOQUX4aJ6ScfRYusMQzpLeloyNwOJXC99TxfJEy4Xvf5_68NRDMkB2yWFtJJimZ/s400/170929_Import_Dynamo.png" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;BIM_Standaard__Excel_naar_Revit.dyn&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Dat is het voor nu even. Wellicht binnenkort meer berichten
over de technische werking voor wie daarin geïnteresseerd is. En collega’s
vroegen al naar een filmpje waarin de tool daadwerkelijk gebruikt wordt en de
werking wordt uitgelegd. Lijkt me een goed idee. Maar nu eerst maar eens
plaatsen.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Ik zou zeggen probeer het gewoon eens uit. &lt;span lang="EN-GB"&gt;The taste is in the eating.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class="MsoNormal"&gt;
Veel succes. Vergeet niet eerst op te slaan voordat je
Dynamo start. &lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div class="MsoNormal"&gt;
En als er vragen of opmerkingen zijn hoor ik het wel.&lt;o:p&gt;&lt;/o:p&gt;&lt;/div&gt;
</content><link href="https://ikleerbim.blogspot.com/feeds/6506606414348015188/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/6506606414348015188?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/6506606414348015188" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/6506606414348015188" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2017/09/tool-om-een-revit-project-af-te-stemmen.html" rel="alternate" title="Tool om een Revit Project af te stemmen op de Nederlandse BIM standaarden" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/W7vvzsKZX_A/default.jpg" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-598735329439909874</id><published>2017-09-26T12:36:00.000-07:00</published><updated>2017-09-27T01:37:08.090-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Details"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="tip"/><title type="text">Enkele 'tips and trics' voor het maken van op 3D gebaseerde details in Revit</title><content type="html">Zo maar enkele &amp;#39;tips and tricks&amp;#39; voor het maken van op 3D gebaseerde details in Revit.&lt;br&gt;
&lt;br&gt;
Voor degene die dacht dat hij het altijd al deed:&lt;br&gt;
Zet je Display Model eens op &amp;#39;Do not display&amp;#39;. Hoe hangt alles wat je nu ziet aan elkaar?&lt;br&gt;
&lt;br&gt;
Voor degene die dacht dat dat niet kan &amp;quot;omdat het er niet uitziet&amp;quot;.&lt;br&gt;
Of omdat het niet &amp;quot;correct en efficiënt&amp;quot; kan.&lt;br&gt;
Lees onderstaande eens door en probeer het eens uit.&lt;br&gt;
&lt;br&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg6xntfAkuCKBT6h6YPgmNo029U-q4Jr__atV6cFI44xq9GgUPNiSLupvsO-CWUUd7c5tO8rzLhclT-z1fyIcfcHsiTv61mJiFEkI8YClvVrsuYyZWvWiy3SZsPDjcJcjcyjlrekH59RHq/s1600/170926_Details_3D_Revit.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" data-original-height="694" data-original-width="1600" height="171" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg6xntfAkuCKBT6h6YPgmNo029U-q4Jr__atV6cFI44xq9GgUPNiSLupvsO-CWUUd7c5tO8rzLhclT-z1fyIcfcHsiTv61mJiFEkI8YClvVrsuYyZWvWiy3SZsPDjcJcjcyjlrekH59RHq/s400/170926_Details_3D_Revit.PNG" width="400"&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Display Model - Normal en Do not Display&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;a href="https://ikleerbim.blogspot.com/2017/09/enkele-tips-and-trics-voor-het-maken.html#more"&gt;Meer lezen »&lt;/a&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/598735329439909874/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/598735329439909874?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/598735329439909874" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/598735329439909874" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2017/09/enkele-tips-and-trics-voor-het-maken.html" rel="alternate" title="Enkele 'tips and trics' voor het maken van op 3D gebaseerde details in Revit" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjg6xntfAkuCKBT6h6YPgmNo029U-q4Jr__atV6cFI44xq9GgUPNiSLupvsO-CWUUd7c5tO8rzLhclT-z1fyIcfcHsiTv61mJiFEkI8YClvVrsuYyZWvWiy3SZsPDjcJcjcyjlrekH59RHq/s72-c/170926_Details_3D_Revit.PNG" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-4187009054525257447</id><published>2017-06-30T03:11:00.002-07:00</published><updated>2017-07-03T01:57:25.763-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Archi-lab"/><category scheme="http://www.blogger.com/atom/ns#" term="automatiseren"/><category scheme="http://www.blogger.com/atom/ns#" term="Data-Shapes"/><category scheme="http://www.blogger.com/atom/ns#" term="Dynamo"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="RoosRos Architecten"/><category scheme="http://www.blogger.com/atom/ns#" term="Verkooptekening"/><title type="text">Automatiseren met Dynamo</title><content type="html">De laatste tijd zijn we ons bij RoosRos architecten meer en meer in Dynamo aan het verdiepen.&lt;br /&gt;
Behalve dat het gewoon erg leuk is, kan Dynamo ook erg behulpzaam zijn om arbeidsintensieve en eenvoudige taken in Revit te automatiseren. Hoe dommer hoe beter zou je kunnen zeggen.&lt;br /&gt;
&lt;br /&gt;
Hieronder een voorbeeld van hoe ik en mijn collega Pieter Schipper onderdelen uit het proces om tot verkooptekeningen te komen, hebben geautomatiseerd. Natuurlijk zijn er altijd de laatste puntjes die je even na moet lopen, maar een groot deel automatiseren geeft een goed gevoel.&lt;br /&gt;
&lt;br /&gt;
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&lt;iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/MAlp6xItBQo/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/MAlp6xItBQo?feature=player_embedded" width="320"&gt;&lt;/iframe&gt;&amp;nbsp;&lt;/div&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="http://bit.ly/2sDz1g9" target="_blank"&gt;Verkooptekening uit REVIT met DYNAMO&lt;/a&gt; &lt;/div&gt;
&lt;br /&gt;
Zonder alle 5 scripts helemaal uit te spitten per script toch een paar "&lt;i&gt;wistjedatjes&lt;/i&gt;".&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;01 Area from Room&lt;/b&gt;&lt;br /&gt;
Het koste best wat moeite om de Rooms samen te voegen tot 1 contour en de binnenste lijnen te verwijderen. Ik was prettig verrast dat native Dynamo Nodes in staat waren uit zichzelf Room Boundaries op basis van de Wall Centre Line aan te leveren. En deze lijnen ook nog op te splitsen als er een andere wand op aan sloot. Daarnaast bleek het opschonen van de inwendige lijnen het meest soepel te lopen door van alle Curves een String te maken en deze met elkaar te vergelijken. Ik had niet gedacht dat Dynamo sneller met een String om kon gaan dan met harde geometrie. Maar het werkt.&lt;br /&gt;
Wensen voor verbetering zijn er natuurlijk ook. Want de contour van het gebouw klopt natuurlijk om meerdere redenen niet. En ik heb ook weinig moeite gedaan voor een mooie plaatsing van de Area zelf. Uiteindelijk was een correcte Area voor dit proces niet het belangrijkste aangezien ik het vooral wil gebruiken om per woning een View Crop met offset te maken.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;02 Area to View on Sheet&lt;/b&gt;&lt;br /&gt;
Bij het maken kwam ik erachter dat de onzichtbare binding van door Dynamo gemaakte Revit elementen erg lastig is als je er niet op verdacht bent. Dynamo verwijderd doodleuk zaken die bij de vorige keer gemaakt zijn. Gelukkig zijn er oplossingen: Custom Nodes die niet binden, Dynamo afsluiten zonder op te slaan, Dynamo Primer gebruiken, of de Bake Node van Beaker.&lt;br /&gt;
Het uitlijnen van een View op een Sheet vraagt wat rekenwerk maar het kan.&lt;br /&gt;
En ik weet nu ook dat als je een Revit Boolean Parameter wilt wijzigen je een 0 of een 1 gebruikt.&lt;br /&gt;
Mijn collega Pieter Schipper heeft zelf een mooi stukje Python script samengesteld om de Annotation Crop in te regelen.&lt;br /&gt;
Verder zat er een rare bug in die Views hoger dan de Sheet hoogte niet wilde plaatsen. Dan de Sheet eerst maar hoger maken en later weer terug. &lt;i&gt;Als het niet kan zoals het moet, dan moet het maar zoals het kan!&lt;/i&gt;&lt;br /&gt;
Wensen voor verbetering zijn er ook. Ik heb niet heel veel extra energie gestopt in de naamgeving van de nieuw aangemaakte Views en Sheets. Maar het is allemaal uniek en je kan het in Revit zo recht zetten waar nodig.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;03 Ruimtemaatvoering plaatsen&lt;/b&gt;&lt;br /&gt;
Dit was best een zoektocht om een acceptabele oplossing te vinden. Maatvoering voor verkooptekeningen zijn doorgaans iets kleiner dan wat de aannemer gaat maken. Dat is met reden, want in de bouw kunnen afwijkingen optreden en iedereen krijgt liever meer dan minder huis. Toch?&lt;br /&gt;
Het punt is alleen dat alle tekenpakketten exact zijn en voor zover ik weet, is Revit niet in staat om Dimensions naar beneden af te ronden op een zelfgekozen manier. Ook zijn onderdelen in een Multi Segment Dimension slecht aan te roepen in Dynamo. En tenslotte is het uiterlijk van een Dimension ook niet helemaal zoals wij dat graag zagen. Een Detail Item bleek hier de oplossing.&lt;br /&gt;
Voor de plaatsing hebben mijn collega Pieter Schipper en ik enkele getrapte mogelijkheden ingebouwd. Op die manier ontstaat er een mooi leesbaar resultaat.&lt;br /&gt;
Verbeteringen zijn ook hier. De laatste update van de Package Data-Shapes (die de UI Nodes heeft gemaakt) heeft de mogelijkheid om voorkeur keuzes aan een lijst toe te voegen. En eigenlijk zou je ook nog moeten kunnen filteren op ruimtegrootte.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;04 Ruimtemaatvoering update&lt;/b&gt;&lt;br /&gt;
Hier wordt ik pas echt enthousiast! Geweldig hoe Dynamo in staat is om een RayBounce te maken. Ook hier was de Data-Shapes Package onmisbaar. Hierdoor konden we de RayBounce ook laten reageren op Linked Models, wat natuurlijk standaard is.&lt;br /&gt;
Het doorgeven van waardes aan gedraaide en gespiegelde Detail Items was even puzzelen (vector nachtmerrie ;-) Maar het is gelukt.&lt;br /&gt;
Verbeteringen hier: Tja. Als een RayBounce tegen een Window aankomt, kunnen we die gevonden waarde dan niet corrigeren naar de Wall waar de Window in zit? Gaat wel erg ver denk ik... En je moet toch ook blijven nadenken.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;05 Print PDF&lt;/b&gt;&lt;br /&gt;
Yes. Eindelijk een betere manier om te kunnen printen. Niet alleen het selecteren van de te printen Sheets, maar ook het printen zonder elke keer het formaat op te moeten geven als die wijzigt. Door het formaat van de Sheet te koppelen aan een Printersetting loopt het allemaal heel soepel. En naamgeving van PDF bestanden kan op veel manieren en leek niet ons grootste probleem.&lt;br /&gt;
We hebben hier ook echt gebruik moeten maken van de Archi-Lab_Grimshaw package. Helaas moesten we nog wel flink op internet op zoek, om de laatste aanscherpingen aan zijn Python script te doen, om het echt werkend te krijgen. Maar het is gelukt.&lt;br /&gt;
Ook hier heeft mijn collega Pieter Schipper intensief meegeholpen om met name het selectie gedeelte en de UI in te regelen.&lt;br /&gt;
Verbeteringen hier: We zouden meer werk kunnen maken om de pdf bestanden op de juiste plek en met de juiste naam op te slaan. En in elk project zitten wel een paar uitzonderingen die op een bijzondere manier geprint moeten worden. Daarom zouden we graag alle printersettings die in een project zitten in 1 lijst te kunnen inlezen, om deze te kunnen gebruiken in Dynamo.</content><link href="https://ikleerbim.blogspot.com/feeds/4187009054525257447/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/4187009054525257447?isPopup=true" rel="replies" title="1 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4187009054525257447" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4187009054525257447" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2017/06/automatiseren-met-dynamo.html" rel="alternate" title="Automatiseren met Dynamo" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://img.youtube.com/vi/MAlp6xItBQo/default.jpg" width="72"/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-4463009488862952386</id><published>2017-02-24T07:03:00.000-08:00</published><updated>2017-04-25T05:49:56.234-07:00</updated><title type="text">A tool to build Revit's IFC mapping tables - feedback and revision</title><content type="html">&lt;br /&gt;
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&lt;br /&gt;
Based on some questions I received lately I would like to explain some things about the spreadsheet.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
First of all I did update the &lt;a href="http://redirect.viglink.com/?format=go&amp;amp;jsonp=vglnk_148794863296112&amp;amp;key=fc09da8d2ec4b1af80281370066f19b1&amp;amp;libId=izjtlpat01012xfw000DA1h1km1l3zmjp5&amp;amp;loc=http%3A%2F%2Fikleerbim.blogspot.nl%2F2014%2F11%2Fa-tool-to-build-revits-ifc-mapping.html&amp;amp;v=1&amp;amp;out=https%3A%2F%2Fdrive.google.com%2Fopen%3Fid%3D0B27BdK5ykcYhMzRkMHdJd0JxZjg%26authuser%3D0&amp;amp;title=Ik%20Leer%20BIM%3A%20A%20tool%20to%20build%20Revit%27s%20IFC%20mapping%20tables&amp;amp;txt=Excel%20document" rel="nofollow" target="_blank"&gt;excel spreadsheet&lt;/a&gt; recently to fix a translation bug in the formula (Ctrl H . the Dutch CEL("inhoud" for CEL("contents" in the whole model 6131found) It 
works as good as it needs to be for now. And the waiting is still on Autodesk to
 really change the way to interact with IFC.  The spreadsheet is nice 
for a + user. But most people can do their job real nice without it.&lt;br /&gt;
&lt;br /&gt;
The spreadsheet consist of 4 sheets (in green) for making an import, 
export and parameter mapping table. The 4th green sheet is the one I 
like the most, because I learnt the most about IFC with that sheet. All 
the other sheets are mostly used for reference. 
The first 3 green sheets have a grey part. This is the actual mapping 
text. You should select the cells that you need, copy those to clipboard
 and paste them in a new .txt file. Or simply change an existing table. 
The grey part will change if you change orange cells beside it. The 
formula in the grey cell will report and look first at the column with 
&amp;gt;&amp;gt;1 (in Row 1), and then to the column with &amp;gt;&amp;gt;2 and so on. 
It’s like a filter. The first rows will contain some + options. Just 
read and try, or simply leave it as is – it’s not that important.&lt;br /&gt;
&lt;br /&gt;
The spreadsheet links .txt files while opening the file. You should 
check that all the files are (re)loaded by excel correctly.&amp;nbsp; Later you can change every 
file differently if you want to. Just check the Data Tab \ Connections group \ 
Connections. &lt;br /&gt;
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" 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" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;
Most of the .txt files will appear in the ‘reference’ 
sheets I mentioned earlier. 
If you are not familiar with data connections in Excel, just google a 
bit. I found some English explanations here. &lt;a href="https://www.tutorialspoint.com/advanced_excel/advanced_excel_external_data_connection.htm" rel="nofollow" target="_blank"&gt;tutorialspoint.com - External Data Connection&lt;/a&gt;&lt;br /&gt;
When actively using this spreadsheet with different projects, you can 
change the export.txt, import.txt with every new project. Or reload 
these connections with new project specific .txt files. You can make 
those .txt files in Revit in the IFC option menu – Save As.. Exporting 
from a project will make sure that you got every subcategory covered.&lt;br /&gt;
&lt;br /&gt;
You can later on also change the standard DRS / standard AIA settings 
for your own standards. You can do this if you feel more comfortable 
with the spreadsheet. By doing so you will able make your own 
referencing standard.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;i&gt;Then the most important part... &lt;/i&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Fill in Revit Export&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
This export table suggest that you can actually 
map every single revit subcategory to a different IFC entity. But it 
mostly works as an do or don’t export table in Revit.  Using the 
IFCExport parameter is still necessary.&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgYVitdKZSpLHyGEdqfh-ga3pR9ef9hE6Yg7SPPPLMjqM5cccSLmO1A-hqlJMWLVyE7s24u5-d6TBIvFkKQ_ArJoDUFdl7SHLr0UO7_t7AoBdt7WakOBHhyVSvrpOUcFYBlJ8qEAzNglY-/s1600/150313_export_mapping_table.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgYVitdKZSpLHyGEdqfh-ga3pR9ef9hE6Yg7SPPPLMjqM5cccSLmO1A-hqlJMWLVyE7s24u5-d6TBIvFkKQ_ArJoDUFdl7SHLr0UO7_t7AoBdt7WakOBHhyVSvrpOUcFYBlJ8qEAzNglY-/s320/150313_export_mapping_table.png" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;b&gt;Fill in Revit Import&lt;/b&gt;&lt;br /&gt;
Is nice, but importing an IFC works already fine,
 by just linking everything and use Revit’s native settings. If you want
 to do more with the import part, you should also look into this guy.&lt;br /&gt;
&lt;a href="http://geometrygym.blogspot.nl/" target="_blank"&gt;http://geometrygym.blogspot.nl/&lt;/a&gt;  
and&lt;br /&gt;
&lt;a href="https://sourceforge.net/p/ifcexporter/discussion/general/thread/4b3bb88d/#7d3a" rel="nofollow" target="_blank"&gt;Ifc Import Class Category Mapping&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Fill in ParameterMapping&lt;/b&gt;&lt;br /&gt;
Is nice for a + user who wants to know all 
the options that native IFC has to offer, and wants to use it. But there
 are also other ways to add parameters to an IFC entity and they also 
work fine.&lt;br /&gt;
If you want to map IFC common properties to your own / specific Revit 
Shared Parameters. Override or change the link for the file RevitGG_IFC 
Shared Parameters_20121102.txt to your own Shared Parameter File. This 
will be loaded in 1 of the last Sheets called “Shared Param DRS”. The 
whole Column C in that Sheet is an Excel Named Range with the Name 
“Shared_Param_DRS”. This will be the content of the drop down menu in 
the Sheet “Fill in ParameterMapping”, Column M so you can use it.&lt;br /&gt;
With the Sheet “Fill in ParameterMapping” you need to copy only parts of
 the grey cells that you really want to map. Skip in the .txt editor the
 PropertySets or Properties that you don’t want to use. 
Check the Data Type of the properties to make sure it will work. I 
didn’t build a check for that. And everything will be “Text” at the 
moment.
Some Properties are hardcoded in the IFC exporter. So if it doesn’t work
 as expected, do ask on the Sourceforge side. This is not all documented
 at the moment.  There is something more info over here:&lt;br /&gt;
&lt;a href="https://sourceforge.net/p/ifcexporter/wiki/Mapping%20of%20Revit%20parameters%20to%20IFC%20values/" rel="nofollow" target="_blank"&gt;Mapping of Revit parameters to IFC values&amp;nbsp;&lt;/a&gt;&lt;br /&gt;
&lt;a href="https://sourceforge.net/p/ifcexporter/wiki/Custom%20parameter%20mapping/" rel="nofollow" target="_blank"&gt;Custom parameter mapping&lt;/a&gt;&lt;br /&gt;
&lt;a href="https://sourceforge.net/p/ifcexporter/wiki/Notes%20on%20support%20for%20Extended%20FMHandOverView/" rel="nofollow" target="_blank"&gt;Revit IFC Support for Extended FMHandOverView Definition (used for COBie)&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;IFStructure&amp;nbsp;&lt;/b&gt;&lt;br /&gt;
I like this one a lot. It gave me a lot of inside in the 
IFC structure / missing entities / new types / new parameters that I 
didn’t know off. And the direct link to the building smart site is very 
convenient. 


Because of the last 3 remarks I did stop working on this spreadsheet. 
And It’s good enough for now. I did had 1 request to add the IFC layers 
but didn’t build it. And don’t know if I will add it in the future. What
 I did do, is follow the conversation on the Sourceforge site. And I 
will add a few links. Perhaps these conversations with Autodesk will 
clearify some IFC related question that you also have, just as it did 
for me.&lt;br /&gt;
&lt;a href="https://sourceforge.net/p/ifcexporter/discussion/general/thread/ee81c282/#6490" rel="nofollow" target="_blank"&gt;Inherited propety sets&lt;/a&gt;&lt;br /&gt;
&lt;a href="https://sourceforge.net/p/ifcexporter/discussion/general/thread/4ecdd1a8/#c470" rel="nofollow" target="_blank"&gt;IFC export mapping table&lt;/a&gt;&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgw6hoI7JXUI5jRoV7mvtmBE4rcXBGrRfuLkpPJrYO89b87YZWVrN2QCRSLYCeYXozLBw8fuYim26yzsPrAi67XUKqrpfzKo1mxE6gbizLYMmGEkMxJPj_T6_eis6EKwVR872JemloZxx6I/s1600/150313_IFC_structure.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="218" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgw6hoI7JXUI5jRoV7mvtmBE4rcXBGrRfuLkpPJrYO89b87YZWVrN2QCRSLYCeYXozLBw8fuYim26yzsPrAi67XUKqrpfzKo1mxE6gbizLYMmGEkMxJPj_T6_eis6EKwVR872JemloZxx6I/s320/150313_IFC_structure.png" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
Have fun with this spreadsheet. 
Hope it helps a little, to tweak IFC and Revit.&lt;br /&gt;
Or that it at least will give more clarity on IFC.&lt;br /&gt;
&lt;br /&gt;
Kind regards,&lt;br /&gt;
Teun de Vries.&lt;br /&gt;
&lt;br /&gt;
Also thanks to Rene Pellicer Garcia for your feedback.&lt;br /&gt;
&lt;br /&gt;</content><link href="https://ikleerbim.blogspot.com/feeds/4463009488862952386/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/4463009488862952386?isPopup=true" rel="replies" title="2 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4463009488862952386" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/4463009488862952386" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2017/02/a-tool-to-build-revits-ifc-mapping.html" rel="alternate" title="A tool to build Revit's IFC mapping tables - feedback and revision" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjgYVitdKZSpLHyGEdqfh-ga3pR9ef9hE6Yg7SPPPLMjqM5cccSLmO1A-hqlJMWLVyE7s24u5-d6TBIvFkKQ_ArJoDUFdl7SHLr0UO7_t7AoBdt7WakOBHhyVSvrpOUcFYBlJ8qEAzNglY-/s72-c/150313_export_mapping_table.png" width="72"/><thr:total>2</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-7589977164622145482</id><published>2015-09-04T05:00:00.003-07:00</published><updated>2015-09-04T05:00:51.446-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Scope Box"/><category scheme="http://www.blogger.com/atom/ns#" term="Section"/><category scheme="http://www.blogger.com/atom/ns#" term="View"/><title type="text">Section weergave mogelijkheden en kriebels</title><content type="html">Het is alweer een tijdje stil geweest op mijn blog. Ik heb veel tijd gestoken in een Outlook applicatie. Ook heb ik nog IFC mapping tables gemaakt en me meer verdiept in IFC. Nu is het weer tijd om weer wat regelmaat in mijn blog te krijgen. Vandaag een korte eenvoudige binnenkomer.&lt;br /&gt;
&lt;br /&gt;
Revit genereert mooi doorsnedes via de Section functie. Deze doorsnedelijn kan je zichtbaar &amp;nbsp;maken in een plattegrond. En dat is mooi. Maar er zit ook een irritant weergave probleempje. Voor een mooie weergave op je plotbladen gaan veel mensen schuiven aan de uiteinden van zo'n Section. Dit is een view afhankelijke aanpassing. Het aanpassen kost tijd en zorgt er in de praktijk voor dat er weergave verschillen zitten tussen views.&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkDJ-3FMNAOnJvlp2jPfyQfTxbWDeVk4St8YdpM_32Q3VgA0ihIG3In1PAMmUgOXR1c_6TXYMg_p9ITcucrX6gAYE2gg8J0pSL0gJJPfzDGBXbKH-Rdf-rDUuuDh7HHFSjpfqxHlpOibK5/s1600/150904_Section_ScopeBox_1.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="424" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkDJ-3FMNAOnJvlp2jPfyQfTxbWDeVk4St8YdpM_32Q3VgA0ihIG3In1PAMmUgOXR1c_6TXYMg_p9ITcucrX6gAYE2gg8J0pSL0gJJPfzDGBXbKH-Rdf-rDUuuDh7HHFSjpfqxHlpOibK5/s640/150904_Section_ScopeBox_1.PNG" width="640" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Plan View met Sections en 3 Scope Boxes.&lt;br /&gt;Alle Sections hangen aan de 'Building" Scope Boxe behalve de 1e van links.&lt;br /&gt;Ook is er met bijna alle uiteinden van de Sections geschoven zoals je kan zien.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
Een vreemd verschijnsel is dat Revit wel de instelling van een andere view kan overnemen. Maar dit lijkt alleen de eerste keer goed te gaan. Mits .. de Section aan een Scope Box vast zit. En als er &lt;u&gt;maar 1 plattegrond open staat&lt;/u&gt; op het moment dat er een nieuwe doorsnede wordt gemaakt en aangepast. Wanneer je een andere verdieping opent zul je zien dat ook daar de weergave is rechtgezet voor de nieuwe Section. Verdiepingen die op de achtergrond open stonden worden &lt;u&gt;niet &lt;/u&gt;aangepast. Sections die niet aan een Scope Box vast zitten werken anders. Deze zullen altijd rondom hun Crop Region uitgelijnd worden bij het openen van een nieuwe Plan View.&lt;br /&gt;
&lt;br /&gt;
Ook het wel of niet aanstaan van de Crop View in de ander View heeft invloed.&lt;br /&gt;
Maar het uit zetten van de Crop View heeft mijns inziens weinig waarde. Dus ik laat het hierbij.&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQgEx777srWqhQAmceUxn79NZ1N1NZa6r0ojsjFrTjKZvN7TpcULlbJwsPZ657MFHES9vKkWWx7NZLJHsn873F-HLOrNMFiMAGU2-2Q52GqFlzCugQh_VkomGT_gCS_zPzhlRBln7hi2sp/s1600/150904_Section_ScopeBox_5_Crop_AAN.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="268" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQgEx777srWqhQAmceUxn79NZ1N1NZa6r0ojsjFrTjKZvN7TpcULlbJwsPZ657MFHES9vKkWWx7NZLJHsn873F-HLOrNMFiMAGU2-2Q52GqFlzCugQh_VkomGT_gCS_zPzhlRBln7hi2sp/s400/150904_Section_ScopeBox_5_Crop_AAN.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Crop View AAN&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgDy7ySp2r1UqtIkcBYL5P1hHadIxYCMcowDl938_opTuEM9wDqNIi-cYdss-uFYQXpod_3vh8NboGcRKHFuQzQ4xTTd-3VdFXVJzOLXg0TKiEPhwfp8k0NQov8gZNr4RBi5n4_hAuo-wLi/s1600/150904_Section_ScopeBox_5_Crop_UIT.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="270" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgDy7ySp2r1UqtIkcBYL5P1hHadIxYCMcowDl938_opTuEM9wDqNIi-cYdss-uFYQXpod_3vh8NboGcRKHFuQzQ4xTTd-3VdFXVJzOLXg0TKiEPhwfp8k0NQov8gZNr4RBi5n4_hAuo-wLi/s400/150904_Section_ScopeBox_5_Crop_UIT.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Crop View UIT&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
Een ander naar gevolg van een aangepast doorsnede lijn is dat deze in principe blijft staan waar die staat als het zichtbare gebied van de view wordt aangepast. Bijvoorbeeld in de situatie dat er meerdere Dependant Views worden aangemaakt. En die Dependant Views worden allemaal aan een andere Scope Box gehangen. Bijvoorbeeld bij het maken van werktekeningen.&lt;br /&gt;
&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQ-V2fYqiaackifYZZ28e-tUiJjQMZeFo46AV47iIiU-N6oA09MJZ74QTEa49AYn-ikGZsuiE3yWaJvHR1J_ijgECUWQH-4zOYy0HRaZHCsF2Z9B67Ye24ronF2JPVQmn2tdoP8701f9ZC/s1600/150904_Section_ScopeBox_2.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="268" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQ-V2fYqiaackifYZZ28e-tUiJjQMZeFo46AV47iIiU-N6oA09MJZ74QTEa49AYn-ikGZsuiE3yWaJvHR1J_ijgECUWQH-4zOYy0HRaZHCsF2Z9B67Ye24ronF2JPVQmn2tdoP8701f9ZC/s400/150904_Section_ScopeBox_2.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="font-size: 12.8000001907349px;"&gt;De Dependent Plan View krijgt een andere Scope Box met als gevolg een rommeltje.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
Gelukkig is er een truckje om de weergave van de Sections weer te "resetten"&lt;br /&gt;
Hang de Plan View aan een tijdelijke Scope Box, die een gebied buiten het werkgebied omsluit. Wanneer de Plan View weer aan de juiste Scope Box wordt gehangen worden de Sections opnieuw weergegeven en aangepast aan de Crop View voor zover dat nodig is.&lt;br /&gt;
Dit werkt natuurlijk ook voor Grids.&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td&gt;&lt;br /&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhiVZ2dMEe-gNtBD2YdHuZus5r5_8x4nRpAAcO9_HSHBZyh2N63M8hhHR1_4sp7PwZEWHugBvnl-ILeV2zFvWFyZDiKaxEEJmfeCfvYYO67e7HCuw3us16vH40CDE57l0z2_QpvHkD-clT/s1600/150904_Section_ScopeBox_3.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="298" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhiVZ2dMEe-gNtBD2YdHuZus5r5_8x4nRpAAcO9_HSHBZyh2N63M8hhHR1_4sp7PwZEWHugBvnl-ILeV2zFvWFyZDiKaxEEJmfeCfvYYO67e7HCuw3us16vH40CDE57l0z2_QpvHkD-clT/s400/150904_Section_ScopeBox_3.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="font-size: 12.8000001907349px;"&gt;De Dependent Plan View wordt aan een lege Scope Box gehangen.&lt;br /&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGIRncGH5q3sS9tQybHHFuI433n-PAu09xqqCbGvVQ-5ecsKwWLYWXLdbNp3GVHzFDOJR3oLqaHnOCdRlP45JsLbT9yq1j3XUqXiAMM6Tw1ePIWQb4-QZj8a1_e2FXfo5-rJdePdcTvzhg/s1600/150904_Section_ScopeBox_4.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;img border="0" height="267" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGIRncGH5q3sS9tQybHHFuI433n-PAu09xqqCbGvVQ-5ecsKwWLYWXLdbNp3GVHzFDOJR3oLqaHnOCdRlP45JsLbT9yq1j3XUqXiAMM6Tw1ePIWQb4-QZj8a1_e2FXfo5-rJdePdcTvzhg/s400/150904_Section_ScopeBox_4.PNG" width="400" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;En weer terug naar de juiste Scope Box.&lt;br /&gt;De View wordt opnieuw opgebouwd met een veel beter resultaat.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
Hang dit soort elementen dus liever aan een verdraaide Scope Box dan dat je er handmatig mee gaat lopen knutselen. En dat allemaal om met zo min mogelijk klikken overal hetzelfde uiterlijk te krijgen.</content><link href="https://ikleerbim.blogspot.com/feeds/7589977164622145482/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/7589977164622145482?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/7589977164622145482" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/7589977164622145482" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2015/09/section-weergave-mogelijkheden-en.html" rel="alternate" title="Section weergave mogelijkheden en kriebels" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkDJ-3FMNAOnJvlp2jPfyQfTxbWDeVk4St8YdpM_32Q3VgA0ihIG3In1PAMmUgOXR1c_6TXYMg_p9ITcucrX6gAYE2gg8J0pSL0gJJPfzDGBXbKH-Rdf-rDUuuDh7HHFSjpfqxHlpOibK5/s72-c/150904_Section_ScopeBox_1.PNG" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-6232708057823142819.post-9176836833533285265</id><published>2015-03-27T05:18:00.002-07:00</published><updated>2015-03-27T05:18:40.419-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Filters"/><category scheme="http://www.blogger.com/atom/ns#" term="Link"/><category scheme="http://www.blogger.com/atom/ns#" term="MEP"/><category scheme="http://www.blogger.com/atom/ns#" term="Revit"/><category scheme="http://www.blogger.com/atom/ns#" term="Visibility"/><title type="text">Weergave van een gelinked Revit MEP model</title><content type="html">&lt;div class="MsoNormal"&gt;
Het werken met verschillende deel modellen is ontzettend leuk en geeft veel inzicht in het gebouw. Maar wanneer je de weergave van een gelinkt model wilt aanpassen, levert het soms ook enkele vragen op. Vooral omdat de weergave van een gelinkt model (en met name een MEP model) wat eigenaardigheden kent.&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEherQuwhq517c8Dtcwt0S92P9a6yXCPaIwSkRKd8GKCR21hZOt4GY8npgz4f1nlpZWS3xm2IFvt0Wuwg8YhN23V7cB3C8K3wg2qFdsqeSzADwLUxXDNbCG-hcGnJ8hJ8Yeg5xCs4jEsWAqi/s1600/150327_zou+het+wel+passen.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEherQuwhq517c8Dtcwt0S92P9a6yXCPaIwSkRKd8GKCR21hZOt4GY8npgz4f1nlpZWS3xm2IFvt0Wuwg8YhN23V7cB3C8K3wg2qFdsqeSzADwLUxXDNbCG-hcGnJ8hJ8Yeg5xCs4jEsWAqi/s1600/150327_zou+het+wel+passen.PNG" height="251" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Meten is weten.&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;br /&gt;
In deze post zal ik niet alles vertellen over het inregelen van de weergave van een link. Ik beperk me in eerste instantie tot enkele losse opmerkingen en pak dan enkele bijzonderheden van een MEP model bij de kop.&lt;br /&gt;
Als iemand met Revit LT geïnteresseerd is in dit onderwerp moet die zich overigens afvragen of die niet een volledige versie van Revit moet aanschaffen. Dit onderdeel is slecht of niet aan te passen in Revit LT zelf.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Algemeen:&lt;/b&gt;&lt;br /&gt;
In de eerste plaats een algemene opmerking. Revit kijkt bij het inregelen van het uiterlijk van een Link allereerst naar het huidige Project. Feitelijk kan je niks aanpassen in de Link wat niet op exact dezelfde manier in het huidige model zit. Het is enigszins abstract uitgelegd. Maar je moet zelfs maar eens wat uitproberen. Dit geldt voor bijna alles: Phases, Types, Worksets, etc. Als je Filters wilt gebruiken moeten de onderdelen waar je op wilt filteren in dezelfde hoedanigheid in je Project zitten. Via Copy en Paste kan je veel zaken overhevelen. En je kan ook een Workset aanmaken met delfde naam als aanwezig in de Link. Mijn collega Christiaan de Wit heeft &lt;a href="http://christiaandewit.blogspot.nl/2014/06/phase-filter-bij-een-linked-model.html" rel="nofollow" target="_blank"&gt;hier &lt;/a&gt;ook al een keer over geschreven met betrekking tot Phases.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Worksets:&lt;/b&gt; &lt;br /&gt;
Het is een algemene 'Best Practice' dat je een Link op zijn eigen Workset zet. Een Link heeft zowel op Instance als op Type niveau de mogelijkheid om op een eigen Workset geplaatst te worden. Het model wat je als Link gebruikt is bij voorkeur een Worksharing Project. Want het voordeel van een Link met Worksets is dat je "Shared Levels and Grids" op project niveau uit kan zetten. En ook dat je een (Local van een) Link kan open, zelfs al staat deze als Link is ingeladen in een open staand project.&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKFygbBce9xbD2mijrTh-902pfj8OrFXehm4DqHKSHKvavvjK1X7Glb4AuuNNQWY-Y_5o4EvIWIRLj-YxksLSRFlkpGTRcldf99SjK3gmBcKv0TCCTfqRGDu5qfPZjcfxywZIK_0Bfn-c0/s1600/150327_Link_Worksets.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKFygbBce9xbD2mijrTh-902pfj8OrFXehm4DqHKSHKvavvjK1X7Glb4AuuNNQWY-Y_5o4EvIWIRLj-YxksLSRFlkpGTRcldf99SjK3gmBcKv0TCCTfqRGDu5qfPZjcfxywZIK_0Bfn-c0/s1600/150327_Link_Worksets.png" height="129" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Een Link heeft zowel op Instance als Type niveau een Workset - die kunnen verschillend zijn&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;b&gt;Visibility Graphics:&lt;/b&gt; &lt;br /&gt;
In de Visibility Graphics van je View kan je een Link overall aanpassen of per plaatsing beïnvloeden.&lt;br /&gt;
Normaal gesproken staat de instelling van de Link op "By View". Je kan deze aanklikken en veranderen in "Custom". Na het veranderen in "Cusom" kan je kiezen welke onderdelen je daadwerkelijk wilt gaan aanpassen. Dit aanpassen heeft vanzelfsprekend wat voor- en nadelen. Ook kan je deze aanpassing doen in of buiten een View Template en daarmee je leven lastiger of juist makkelijker maken.&lt;br /&gt;
&lt;table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEga7M7wK2rNlGM81oyjGKw6MgyT5T12pYYYzlFwzcxSKa7rexBDHJTNCEc0CAX91xMhJsYM-xLsxK-OYtsuP49PamWgM7wnjoA0ve2oGYiaM9PbdQiiu0_8js4VZNnWc1_XiVW-stgbIfCL/s1600/150327_VG_link.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEga7M7wK2rNlGM81oyjGKw6MgyT5T12pYYYzlFwzcxSKa7rexBDHJTNCEc0CAX91xMhJsYM-xLsxK-OYtsuP49PamWgM7wnjoA0ve2oGYiaM9PbdQiiu0_8js4VZNnWc1_XiVW-stgbIfCL/s1600/150327_VG_link.PNG" height="301" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Aanpassen van de eigenschappen van de Link&lt;/td&gt;&lt;/tr&gt;
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&lt;br /&gt;
Oke nog 1 tip: Maak een Standaard Project aan met standaard Links en Worksets. Regel dit helemaal in en gebruik dit in plaats van een Template op het moment dat je een nieuw project start. De Links kan je met Reload From eenvoudig omzetten. Als je dit project opent met Detach from Central kan je er weer een gewone Template van maken.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Een Link in zijn geheel een kleur geven:&lt;/b&gt;&lt;br /&gt;
Er zijn meerdere manieren. Je kan bijvoorbeeld in de VG de Link op Custom zetten en alle Model informatie een kleur meegeven. Ook kan je filteren op een bijvoorbeeld een Workset &lt;u&gt;in &lt;/u&gt;het gelinkte model als die tenminste &lt;u&gt;met dezelfde naam in je Project&lt;/u&gt; voorkomt. Ook kan je op een oneigenlijke manier gebruik maken van Phases. Door de Link via de Type parameter Phase Mapping een oudere Phase meegeven. Dit is een snelle maar slechte oplossing, die vanzelfsprekend niet altijd werkt.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;De "kruizen" uit de installatie leidingen en kanalen verwijderen:&lt;/b&gt;&lt;br /&gt;
Cable Tray Fittings, Cable Trays, Conduit Fittings, Conduits, Duct Fittings, Ducts, Flex Ducts, Flex Pipes, Pipe Fittings, Pipes, hebben een Center Line Subcategorie. Dit is een symbolische weergave van een kruis dat het hart representeert. Door al deze subcategorieën uit te zetten zien architectonische tekeningen er vaak wat beter uit.&lt;br /&gt;
O ja, veel MEP Families hebben bij medium nog steeds een symbolische weergave die niet overeenkomt met het daadwerkelijke ruimtebeslag. Je kan overwegen om alle MEP Categorieën handmatig op Fine te zetten wanneer je gewoon wilt weten hoe het er uit komt te zien.&lt;br /&gt;
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&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrC4hBElbl-gnLQQwBQ4Vbdrd2r2X2qEVEtRgTPDzh0uTi9nGikfw2nGnTs11QUVsdcTGPKCKUVj66nXckAX0DFOn_Quwe0DK0stCXhds8tgG0gOEAShEknUUJ5ExQb3UmUTf1sPC23HUC/s1600/150327_System_Override.PNG" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrC4hBElbl-gnLQQwBQ4Vbdrd2r2X2qEVEtRgTPDzh0uTi9nGikfw2nGnTs11QUVsdcTGPKCKUVj66nXckAX0DFOn_Quwe0DK0stCXhds8tgG0gOEAShEknUUJ5ExQb3UmUTf1sPC23HUC/s1600/150327_System_Override.PNG" height="171" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;een override die blindelings te vinden is... maar niet heus&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;b&gt;De "System Color" aanpassen:&lt;/b&gt;&lt;br /&gt;
Dit is een hele mooie! MEP kent Systems. En deze Systems kan je een eigen kleur meegeven. Hartstikke mooi en duidelijk natuurlijk voor de MEP ingenieur, maar niet voor de architect. Het geval wil dat deze override slecht te vinden is en erg hoog in de weergave hiërarchie staat. Mijn collega zonder Building Design Suite kan deze weergave bijvoorbeeld niet vinden, laat staan aanpassen in het MEP model. (als je dat al zou willen) De oplossing is simpel en krom. Maak een filter aan in je eigen project op alle relevante Categorieën en filter op System Name / does not equal / I_dont_like_system_colors_in_my_architectural_model. En iedereen is weer happy.&lt;br /&gt;
&lt;div class="separator" style="clear: both; text-align: center;"&gt;
&lt;a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinxIwUiJhCNAXgE0TdwG1L8N07zbbX3_Fe1PlhrX3LrtzzlQlQ0pvE9TbEGTqbSR4Wr8b93QCIQmE0WXCZtPThv06QL2hiHS3q2HpkLZzRV57pR9eJ4apj-WhB-ZPpb3qSkupYYZCGlBJT/s1600/150327_filter_system_name.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinxIwUiJhCNAXgE0TdwG1L8N07zbbX3_Fe1PlhrX3LrtzzlQlQ0pvE9TbEGTqbSR4Wr8b93QCIQmE0WXCZtPThv06QL2hiHS3q2HpkLZzRV57pR9eJ4apj-WhB-ZPpb3qSkupYYZCGlBJT/s1600/150327_filter_system_name.png" height="209" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;
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</content><link href="https://ikleerbim.blogspot.com/feeds/9176836833533285265/comments/default" rel="replies" title="Reacties posten" type="application/atom+xml"/><link href="https://www.blogger.com/comment/fullpage/post/6232708057823142819/9176836833533285265?isPopup=true" rel="replies" title="0 reacties" type="text/html"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/9176836833533285265" rel="edit" type="application/atom+xml"/><link href="https://www.blogger.com/feeds/6232708057823142819/posts/default/9176836833533285265" rel="self" type="application/atom+xml"/><link href="https://ikleerbim.blogspot.com/2015/03/weergave-van-een-gelinked-revit-mep.html" rel="alternate" title="Weergave van een gelinked Revit MEP model" type="text/html"/><author><name>Teun</name><uri>http://www.blogger.com/profile/00342595626164719256</uri><email>noreply@blogger.com</email><gd:image height="16" rel="http://schemas.google.com/g/2005#thumbnail" src="https://img1.blogblog.com/img/b16-rounded.gif" width="16"/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" height="72" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEherQuwhq517c8Dtcwt0S92P9a6yXCPaIwSkRKd8GKCR21hZOt4GY8npgz4f1nlpZWS3xm2IFvt0Wuwg8YhN23V7cB3C8K3wg2qFdsqeSzADwLUxXDNbCG-hcGnJ8hJ8Yeg5xCs4jEsWAqi/s72-c/150327_zou+het+wel+passen.PNG" width="72"/><thr:total>0</thr:total></entry></feed>