Ontology-driven modeling and hazard early warning for non-compliant construction schemes

Abstract

The quality of construction scheme preparation directly impacts construction safety, quality, and efficiency. Traditional construction scheme compilation and review heavily rely on experts, lack standardized templates, and often involve time-consuming and inefficient processes. To address these issues, an ontology-based knowledge base was developed for construction scheme hazards using the Protégé ontology construction tool and the “Seven-Step Method.” We clearly define classes and their hierarchical structures, object properties, data properties, and constraints, and create instances while ensuring consistency with the built-in HermiT reasoner. A hazard rule base is then built using Semantic Web Rule Language(SWRL), with key information extracted from construction scheme documents being reasoned through the Drools inference engine, verifying the rule base's reliability and feasibility. Finally, case studies validate the reasoning function and achieve automatic hazard early warning for construction schemes. This approach significantly improves the efficiency and accuracy of construction scheme reviews, and identifies potential safety and quality risks, reducing the occurrence of accidents.

Keywords

ontology / construction scheme / hazard early warning / SWRL / reasoning