BIM-enabled semantic web for automated safety checks in subway construction

Rule-based construction safety checking aims to inspect risk factors during the process ensure that factor states are within thresholds. However, integrating multisource and text-based rules remains a challenge. This study proposes semantic approach integrate heterogeneous data under building information modeling (BIM) environment enable automated through SPARQL-based reasoning. In this framework, four interconnected ontologies developed provide schema for subway checking. Safety extracted from BIM sensor then converted into integrated ontology instances. Text-based automatically transformed rules. The proposed framework can improve knowledge sharing promote real-time A case is illustrated show how be applied, confirming feasibility effectiveness of framework.