BIM Automation & Rule-Based QAQC

BIM Automation & Rule-Based QAQC streamlines BIM workflows through scripted rules and automation for consistent quality assurance. This service under BIM Automation & Digital Engineering detects errors early, enforces standards, and boosts efficiency in model creation and validation.

What is BIM Automation & Rule-Based QAQC?

BIM automation uses scripts, APIs, and rule-checking tools to automate repetitive tasks like model validation, parameter assignment, and compliance checks. Rule-based QAQC applies predefined standards—such as level of development (LOD), naming conventions, or code requirements—to flag issues automatically. This approach ensures Revit, Navisworks, or Dynamo models meet project specs without manual reviews.

How Does It Work?

Automation scripts in Dynamo or pyRevit process BIM models against rule sets, scanning for anomalies like misplaced elements or invalid parameters. Results generate QA reports with visuals, issue lists, and fix recommendations. Iterations refine rules based on feedback, integrating with CI/CD pipelines for ongoing quality in federated models.

How Conserve Can Help

Conserve Solutions delivers custom BIM automation and rule-based QAQC with Dynamo scripts, Revit APIs, and Solibri rulesets. We automate family management, clash validation, and LOD compliance for MEP, architectural, and structural models. Our services include script development, rule libraries, and training for in-house teams.

Applications

We enable AEC teams with automated QAQC for

Key Benefits

Frequently Asked Questions

FAQ's

BIM automation uses scripts and plugins like Dynamo to perform repetitive tasks in Revit or Navisworks models.

Rules define checks for parameters, geometry, or standards; software flags violations with automated reports.

Dynamo, pyRevit, Solibri Model Checker, Navisworks Rules, and Revit API for custom scripts. – Tracks complianc

ISO 19650, AIA E202, NBS BIM Toolkit, and project-specific execution plans.

Dynamo scripts (.dyn), rule sets (.szf), QA reports (Excel/PDF), and updated models (RVT/IFC).

2-4 weeks for initial scripts and rules, scaling with model complexity.

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