Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework

• URL: http://arxiv.org/abs/2606.12065v1
• Date: Wed, 10 Jun 2026 13:31:43 GMT
• Title: Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework
• Abstract summary: This research provides a graph-based semantic reasoning paradigm, enhancing the transparency and flexibility of automated geometric compliance check.<n>The framework achieves 84.3% accuracy, representing an 8.6% improvement over enhanced-tool single-agent baselines.
• Score: 3.270227506638339
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Automating compliance check for geometry-intensive regulations remains a significant technical bottleneck in Building Information Modeling (BIM), primarily due to the semantic disparity between high-level regulatory logic and structured IFC data. Existing methods, often reliant on static rule templates, struggle to traverse multi-hop reasoning chains or resolve latent spatial dependencies across multiple building entities. To address these challenges, a Spatial-Geometric Reasoning System for Building Information Modeling (SGR-BIM) is proposed as an integrative graph-driven reasoning framework. SGR-BIM dynamically constructs a cross-modal knowledge graph that aligns user intent, regulatory semantics, and BIM geometry, enabling interpretable reasoning without rigid hard-coding. Validated on 679 expert-verified queries from fire safety codes, the framework achieves 84.3% accuracy, representing an 8.6% improvement over enhanced-tool single-agent baselines. This research provides a graph-based semantic reasoning paradigm, enhancing the transparency and flexibility of automated geometric compliance check workflows in the Architecture, Engineering, and Construction (AEC) industry.

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