Bim Clash Detection

What This Skill Does

The BIM Clash Detection skill for OpenClaw is a powerful automated analysis tool designed to identify, categorize, and prioritize geometric conflicts within Building Information Modeling (BIM) projects. By analyzing 3D bounding boxes across various disciplines—such as architectural, structural, mechanical, electrical, and plumbing (MEP)—the agent detects physical intersections (hard clashes), clearance violations (soft clashes), and sequencing issues. It transforms complex 3D coordination data into actionable insights, helping project teams mitigate design errors before they reach the construction site.

Installation

To install this skill, use the following command in your OpenClaw environment: clawhub install openclaw/skills/skills/datadrivenconstruction/bim-clash-detection Ensure you have the necessary permissions and access to your BIM data sources before executing.

Use Cases

• Pre-Construction Coordination: Automatically run clash checks between structural steel and MEP ductwork to ensure ceiling clearances are maintained.
• Design Review Meetings: Rapidly identify critical conflicts that need immediate resolution during design coordination meetings to reduce rework.
• Field Clash Mitigation: Identify potential field issues early by comparing design models against existing site constraints, significantly reducing change orders and project delays.

Example Prompts

1. "Analyze the current project model and list all critical hard clashes between the structural and plumbing disciplines."
2. "Generate a report of all new soft clashes in the Level 3 ceiling plenum and prioritize them by severity."
3. "Identify any duplicate elements between the architectural and mechanical models that might be causing phantom clashes."

Tips & Limitations

Tips: Always ensure your BIM models are correctly aligned in global coordinates before running analysis to avoid false positives. Use the priority filter to focus your team on 'Critical' items first, as these are most likely to impact the construction schedule. For large models, run analysis on a per-floor or per-zone basis to optimize processing speed.

Limitations: This skill relies on the accuracy of the bounding box data provided. Extremely complex non-rectangular geometries may require finer mesh refinement to avoid inaccurate clash reporting. Additionally, the tool identifies potential conflicts but does not automate the physical design correction; it provides the data required for human decision-making and design adjustment.