Utilizing NVIDIA Omniverse to arrange 3D property from Constructing Data Fashions for AWS IoT TwinMaker


The manufacturing and structure, engineering, building and operations (AECO) industries have extensively adopted constructing info mannequin (BIM) software program to generate correct 3D fashions to be used in a digital twin. These 3D fashions will be something from a manufacturing unit flooring to a building web site or workplace constructing. Nevertheless, exporting 3D fashions from BIM software program usually ends in inefficient fashions for rendering. The excessive rendering efficiency of a digital twin’s 3D scene is crucial for successfully monitoring operational occasions for the dual.

AWS IoT TwinMaker is a managed service for constructing digital twins to attach 3D fashions with real-world Web of Issues (IoT) knowledge. Utilizing this service, you’ll be able to create interactive dashboards for engineers on a plant flooring to assist monitor and overview their methods’ dwell and historic well being. These dashboards function a 3D scene to attach a digital reproduction of your constructing or machine to actual IoT knowledge. AWS IoT TwinMaker helps the Graphics Language Transmission Format (glTF) format for effectively rendering 3D scenes on a browser, however it at the moment doesn’t assist any BIM codecs.

3D fashions created from a BIM file format like Autodesk Revit are troublesome to transform and optimize with out specialty software program. NVIDIA Omniverse is a modular improvement platform for constructing and connecting OpenUSD-based 3D workflows and instruments, enabling the administration of BIM fashions, similar to Autodesk Revit, and making ready the 3D mannequin to be used in a digital twin. Omniverse unlocks interoperability between 3D instruments and knowledge units and can be utilized to convert customary 3D and CAD file codecs like STP, OBJ and FBX to Common Scene Description (OpenUSD). Omniverse’s Autodesk Revit Connector plugin permits for live-sync improvement on a BIM file. With NVIDIA expertise, it turns into potential to attach everybody, from engineers and constructing designers in Revit to builders, artists, and visualization consultants, in Omniverse for simultaneous collaboration and sooner iteration of mission workflows.

On this weblog, you’ll learn to create a 3D asset for a digital twin from an Autodesk Revit file utilizing the NVIDIA Omniverse platform and AWS IoT TwinMaker. The tutorial on this weblog converts the Autodesk Revit format to OpenUSD for processing in Omniverse. When happy together with your mannequin, you’ll export it to the glTF format and add it to AWS IoT TwinMaker.


The structure under illustrates how a mannequin conversion pipeline will be created with NVIDIA Omniverse to transform your Autodesk Revit file right into a glTF mannequin through OpenUSD. You’ll execute the step-by-step information on this weblog to finish the mannequin conversion.


  1. An area gadget that meets the technical necessities of NVIDIA Omniverse
  2. Autodesk Revit app put in and dealing regionally
  3. NVIDIA Omniverse downloaded with the suitable license primarily based on your corporation requirement
  4. AWS Console entry with permissions for AWS IoT TwinMaker and Amazon Easy Storage Service (S3)
  5. An AWS IoT TwinMaker supported area
  6. An present AWS IoT TwinMaker Workspace

Step 1: Arrange the NVIDIA Omniverse Server

  1. Open the Omniverse Launcher app
  2. Within the Nucleus tab, select Add Native Nucleus Service
  3. Select Subsequent
  4. Enter your required credentials for the Administrator Account
  5. Select Full Setup
  6. Navigate to localhost:3080 in your browser of alternative and make sure all apps are within the state Operating

Step 2: Set up the Omniverse USD Composer App

  1. Open the Omniverse Launcher app
  2. Within the Change tab, seek for USD Composer
  3. Select USD Composer
  4. Select Set up
    1. You might have to attend a number of minutes for the set up

Step 3: Set up the Revit Plugin for Omniverse

  1. Within the Change tab, seek for Revit
  2. Select Autodesk Revit Omniverse Connector
  3. Select Set up
    1. Notice: You should have already got the Revit app put in in your machine

Step 4: Open the Pattern Revit File

  1. Open the Autodesk Revit app
  2. Select the Pattern Structure Mission from the house web page
    1. You can even discover the pattern file right here, select rac_basic_sample_project.rvt

Step 5: Configure the Revit Plugin for Omniverse in Autodesk Revit

  1. Beneath the Omniverse tab, choose the person icon
  2. Select localhost as your server
  3. Select OK
  4. In case you have points connecting to your Nucleus server carry out the next:
    1. Open the Omniverse Launcher app
    2. Within the Change tab, seek for Nucleus Navigator
    3. Select Omniverse Nucleus Navigator
    4. Select Set up
    5. After the set up completes, select Launch
    6. Enter localhost because the server identify
    7. Enter admin as each the username and password to log in
    8. Repeat Step 5

Step 6: Choose a 3D View in Autodesk Revit

  1. Within the Mission Browser field on the underside left, choose a 3D view (double click on)
    1. Select the 3D view {3D}

Step 7: Configure Sync From Revit to Omniverse

  1. Beneath the Omniverse tab, select Settings
  2. The next settings are advised:
    1. For Embody Choices, choose Embody Cameras, Embody Lights, Embody Vegetation, and Allow Household Knowledge Instancing
    2. For Materials Choices, choose Use Autodesk Supplies
    3. For Ship to Omniverse Settings, select Ship to regionally put in Viewer
      1. Choose Use Present Create
    4. Select Save

Step 8: Sync from Revit to Omniverse

  1. Beneath the Omniverse tab, select Ship to Omniverse
  2. Look ahead to the file conversion and for the Omniverse Create app to open
  3. The next picture exhibits what it’s best to see within the Omniverse Create app:

Step 9: Export to glb in Omniverse

  1. Within the Omniverse USD Composer, select File, Export
  2. Within the Choose Export Folder dialog field, carry out the next:
    1. Choose a file path to save lots of the export in your machine
    2. Enter a reputation for the export file
    3. For the file format dropdown, select glb File (*.glb)
  3. Select Save

Step 10: Import 3D Mannequin to AWS IoT TwinMaker

  1. Open the AWS IoT TwinMaker Console in your internet browser
  2. Navigate to the AWS IoT TwinMaker Useful resource Library web page
    1. AWS IoT TwinMaker will retailer your 3D mannequin within the S3 bucket related together with your TwinMaker workspace
  3. Navigate to the Scenes web page, select Create Scene
    1. Enter a scene identify and outline
    2. Select Create Scene
  4. On the Scene Composer web page, select the plus (+) signal, and select Add 3D mannequin
  5. Choose your native glb mannequin from the record, then click on on the canvas to put it in your scene
  6. Optionally, you’ll be able to proceed to edit your scene by including widgets, tags, and binding your 3D fashions to IoT property knowledge

Cleansing Up

Remember to take away the assets created on this weblog to keep away from costs by performing the next:

  1. Delete any created scenes out of your AWS IoT TwinMaker workspace
  2. Delete all recordsdata within the Useful resource Library
  3. Delete your AWS IoT TwinMaker workspace


On this weblog, you efficiently transformed an Autodesk Revit BIM file to the glTF format and imported it into AWS IoT TwinMaker. This resolution permits manufacturing and AECO clients to make use of BIM fashions to construct digital twins and permits 3D visualizations to be optimized for dependable monitoring of constructing scale workflows. A digital twin can now be constructed with 3D element for the mechanical, electrical, and plumbing (MEP) methods of a constructing, as designed in Autodesk Revit. To completely monitor your digital twin, create entities and parts with dwell knowledge of your constructing and fix this knowledge to your 3D mannequin in an AWS IoT TwinMaker scene.

NVIDIA Omniverse has effectively organized 3D mannequin info (supplies, geometry, lights, and so forth.) to supply a quick export expertise and reduce mannequin measurement. For bigger designs you’ll be able to look into the Omniverse scene optimizer instruments. In case your output continues to be bigger than 100MB, think about using Cesium Ion to transform to 3D Tiles for sooner streaming of the mannequin. The conversion course of on this weblog is comparable for different BIM instruments with Omniverse Connectors to Sketchup, Archicad, and Rhino. For getting began with Omniverse and AWS IoT TwinMaker, go to the web page on getting began with Omniverse and overview learn how to get began with AWS IoT TwinMaker.

In regards to the Creator

Harry Wandersman is a Software program Improvement Engineer on the AWS IoT TwinMaker frontend service staff. He has labored within the IoT area since 2018, serving to construct and develop the AWS IoT SiteWise and AWS IoT TwinMaker providers. Harry is keen about 3D graphics and immersive digital experiences, and its utility in IoT to assist digital twins.

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