Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework
For the AEC industry, it provides a more transparent and flexible method for automated geometric compliance checking, though the improvement is incremental.
The paper addresses the bottleneck of automating geometry-intensive compliance checking in BIM by proposing a graph-driven reasoning framework (SGR-BIM) that achieves 84.3% accuracy on fire safety code queries, an 8.6% improvement over baselines.
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.