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Bim Validation Pipeline

Build automated BIM validation pipelines for IFC/Revit data. Continuous validation against IDS, LOD requirements, COBie, and project-specific BEP standards.

Why use this skill?

Automate BIM data validation against IDS, LOD, and BEP standards. Ensure model quality with this automated ETL pipeline for IFC and Revit data.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/datadrivenconstruction/bim-validation-pipeline
Or

What This Skill Does

The BIM Validation Pipeline skill provides an automated framework for ensuring that architectural, engineering, and construction (AEC) models adhere to industry standards and project-specific requirements. Based on the methodologies detailed in the Data-Driven Construction (DDC) handbook, this tool acts as an automated quality control engine. It enables users to parse IFC files and validate them against complex Information Delivery Specifications (IDS), Level of Development (LOD) criteria, COBie data requirements, and the project-specific BIM Execution Plan (BEP). By programmatically auditing model geometry, parameter completeness, and classification data, this skill helps teams identify costly design errors during the pre-construction phase rather than on the construction site.

Installation

To install this skill, use the OpenClaw package manager within your terminal:

clawhub install openclaw/skills/skills/datadrivenconstruction/bim-validation-pipeline

Ensure you have the necessary environment dependencies, such as ifcopenshell and pandas, installed in your current Python environment to support the underlying data parsing capabilities.

Use Cases

  • Automated Compliance Auditing: Quickly verify that every object in an IFC model contains the mandatory COBie properties before exporting data for the facility management team.
  • Quality Assurance for Submissions: Run a validation check against the project BEP before submitting your BIM files to the client to ensure no critical data is missing.
  • Geometry Health Check: Automatically flag model elements that lack representation or contain geometry errors that could cause issues when imported into structural or MEP coordination software.
  • LOD Validation: Ensure that elements have the appropriate level of detail required for the current project milestone (e.g., ensuring wall components are defined with correct structural layers at LOD 300).

Example Prompts

  1. "Check the current project IFC model for any elements missing required COBie classification codes and export the results to a CSV file."
  2. "Review the architectural model against our BEP requirements, specifically looking for any missing material definitions in the curtain wall systems."
  3. "Scan the building envelope for geometry errors and report all issues with a severity level of ERROR that exceed a volume of 0.5 cubic meters."

Tips & Limitations

  • Pre-Processing: Always ensure your IFC files are exported correctly from Revit or ArchiCAD using the standard MVD (Model View Definition) settings; the validator works best on clean, exported IFC files.
  • Data Scalability: For large-scale projects, break your model down by zones or floors to keep validation runtimes low.
  • Extensibility: The BIMValidator class is designed for modular growth. You can easily inherit from the base class to add custom regex checks for property naming conventions or complex relational geometric analysis.

Metadata

Stars1100
Views0
Updated2026-02-17
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-datadrivenconstruction-bim-validation-pipeline": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#bim#ifc#construction#data-validation#engineering
Safety Score: 4/5

Flags: file-read, code-execution