Model Health Issues: Optimize, Automate, Realize

I have finalized a toolkit using Power BI dashboards and the ability to visualize warnings to analyze Revit model issues. This has been an long time issue for a lot of us on knowing which models are having health issues. What do I mean by that, a big one is excessive amount of warnings in the model which can lead to all kinds of ugly issues. This happens to all disciplines; Architecture, Structural, and MEP. But lets not forget excessive amounts of worksets, design options, linked or imported CAD files, non-standard object styles, model or detail groups, and the dreaded in-place families. These are just some of the items we should be keeping track of in every Revit model that we work with.

In the past this has been virtually impossible to know, let alone see trends, on when one of our project models has gone rogue. Blasting off the rails and into the ditch based on one or multiple categories that I mentioned above.

So with these dashboards we finally know which models are in trouble but I have also been working on additional tools to help visualize warnings inside Revit. In the past this has been a tedious task trying to find, locate, and visualize where these issues are within the Revit model. There isn’t much fun wondering through the forest of 4,397 warnings which can be a daunting task to say the least, especially trying to use this wonderful built-in interface within Revit!

Using any 2D or 3D view we can start to not only visualize what elements have warnings (red/yellow) but also have the ability to color code and filter (blue) which type of warnings to work on and where those are located. Anyone that has done this task would see this as a huge time saver!

Architectural Model Example

Structural Model Example

MEP Model Example

I’m proud to be able to offer this toolkit so you and your firm are able to gain valuable insight into the current health of your models as well as long-term trends. Ultimately your firm can become proactive, instead of reactive, when Revit models go haywire. Being able to visualize, diagnose, and resolve where warnings are occurring in your models can eliminate hundreds of valuable hours often wasted by BIM Managers and Coordinators trying to find exactly what elements need to be fixed.

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Model Health Check, Insight to Trends, and Visualize Issues

Starting off 2020 with a bang, one project that I started working on is using Revit, BIM 360, and Power BI with dashboards to analyze Revit model issues with BIM 360 projects.

This has been an long time issue for a lot of us on knowing which models are having health issues. What do I mean by that, a big one is excessive amount of warnings in the model which can lead to all kinds of ugly issues. But lets not forget excessive amounts of worksets, design options, linked or imported CAD files, non-standard object styles, model or detail groups, and the dreaded in-place families. This just some of the items we should be keeping track of in every one of our Revit models.

Again in the past this has been virtually impossible to know, let alone see trends on when one of the project models has gone rogue and is now off the rails based on one or multiple categories that I mentioned above.

I also been working on additional tools to help visualize warnings inside Revit. In the past this has been a tedious task trying to find, locate, and visualize where issues are within the Revit model.

Getting close to packaging this up as a service…

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2019 Closeout, into 2020

It has been a while since I last posted, not to say I haven’t been busy…

There were (3) large projects that I did to finish out 2019 and going into 2020. One was a project working with Dubai Municipality that was focused on BIM e-Submission & Automated Code Checking.

  • e-Submission: the consultant can upload BIM model files to the system through a web page.
  • Validation: the BIM model is automatically validated against the necessary regulations and building codes. The system highlights any non-compliance issues directly on a 3D view of the model, enabling consultants to resolve issues before re-uploading the model for validation.
  • Building Card Extraction: data including numbers of rooms, gross floor area and number of parking spaces is automatically populated into the building card from the BIM model.
  • GIS Conversion: the BIM model is converted to GIS layers and visualized in the browser. This GIS data can then be used in downstream processes such as shadow analysis, urban planning workflows, and for sharing city-wide visualizations and planning scenarios with non-technical audiences.

US Olympic Museum Diamond Donor Program – A new cultural facility recognized by the International Olympic Committee, the United States Olympic and Paralympic Museum celebrates American Olympic and Paralympic athletes. The 60,000 square foot museum is located at the base of the Rocky Mountains in Colorado Springs, home of the United States Olympic Training Center. The museum will act as an anchor the new City for Champions District, forming a new axis bridging downtown Colorado Springs to the America the Beautiful Park to the west.

  • Diamond Donor Program
  • Online
  • Interactive
  • Take advantage of BIM model
  • Website Integration
  • Donor Checkout – Cart Technology
  • Autodesk BIM 360 Model
  • Application & Donor Experience (Autodesk Forge)
  • UI (user interface)/UX (user experience design)

Generative Design – Autodesk’s cloud-based Generative Design platform, is used to develop insights and drill down to the best performing building design that meets established performance criteria.

  • Generate building form based on zoning height and parcel boundary
  • Floor Area Ratio (FAR)
  • Floor Space Index (FSI)
  • Use solar daylight exposure to minimize Window-to-Wall Ratio (WWR)
  • Use solar daylight exposure to maximize average exposure on floors and roofs
Posted in Architecture, BIM Strategy, Early Design, Sustainability | Leave a comment