Routing with Point Cloud Data - Intergraph Smart 3D - Help

Intergraph Smart 3D Piping

PPMProduct
Intergraph Smart 3D
PPMCategory_custom
Help
SPFVersion_custom
2019 (10.0)
Version_S3D
11.x(2016)

Using CloudWorx for Intergraph SmartTM 3D plug-in, you can import the point cloud data of any 3D laser scanned model into Smart 3D. After importing and loading the point cloud data, you can efficiently re-design the distributed pipeline system using the Piping commands and by selecting appropriate point cloud points. Each point within the point cloud has an accurate 3D position. You can select a point on the point cloud, and start routing pipe runs as needed. You can also insert piping components and position them accurately on the point cloud.

CloudWorx for Smart 3D 2014 R1 installed on Smart 3D 2014 R1 only supports routing and inserting components using point cloud data.

Pre-requisites

Before you start routing using the point cloud data, you must ensure that the following pre-requisites are met:

  1. Install CloudWorx for Smart 3D 2014 R1. For more information about installing CloudWorx for Smart 3D 2014 R1, refer to the CloudWorx for Smart 3D Installation topic in the CloudWorx for Smart 3D 2014 (10.1) Installation Guide.

  2. Add and configure the databases. For adding a database, refer to the Getting Started > Adding a Database topic in the CloudWorx for Smart 3D User's Guide. For configuring the databases, refer to the CloudWorx Menu > Configure Databases topic in the CloudWorx for Smart 3D User's Guide.

  3. Reference a point cloud. For more information about referencing a point cloud, refer to the Using Reference Models > Point Cloud Model Reference topic in the Project Management User's Guide.

  4. Load a point cloud and reference multiple ModelSpace views. For more information about loading and referencing multiple modelspace views, refer to the Loading a Point Cloud and Reference Multiple ModelSpace Views topics in the Getting Started section of the CloudWorx for Smart 3D User's Guide.

  5. Add a filter using Define Workspace. To add a filter,

    1. Open Smart 3D and click File > Define Workspace.

    2. Select the required plant and filter from the respective boxes in the Define Workspace dialog box and click OK.

    3. Select the Point Cloud Graphics and PointCloud - Leica Geosystems Inc. options in the site database tree.

    4. Click OK to save changes to session file.

    5. When you open a session file that has defined filter, the software displays the Import ModelSpace View dialog box. Click Browse and select the ModelSpace View to open. Click OK. The software loads point clouds into Smart 3D. For more information, refer to the CloudWorx Menu > Import ModelSpace View topic in the CloudWorx for Smart 3D User's Guide.

  6. Use Import ModelSpace View to import a Cyclone ModelSpace View and save the project, or use Open Project to open a saved CloudWorx project. For more information, refer to the CloudWorx Menu > Import ModelSpace View topic in the CloudWorx for Smart 3D User's Guide.

Points to Consider

  • You must first place a straight feature to insert a component in the point cloud environment.

  • Make sure that you select the point cloud points in sequence while routing the pipe in the point cloud environment. If you do not select the point cloud points in sequence, the software might not give proper results.

  • In normal routing scenario, if you select PointCloud - Leica Geosystems as the point cloud vendor in Project Management and if the CloudWorx for Smart 3D is installed on your computer, then the Back End of the Flange options are available irrespective of whether you define the point cloud reference in workspace or not.

Limitations

  • You cannot arc route using point cloud data. If you click Arc Routing and select any point cloud point, the software ignores the selected cloud point, and you will be routing in free space mode.

  • You cannot use cardinal point offset references from point cloud data. You must select the pipe centerline as the offset reference.

See Also

Route pipe using point cloud data

Insert component using point cloud data