Abstract:

With the development of building information modeling (BIM) technology in AEC field at home and abroad, industry foundation classes (IFC) has been widely used as a BIM open data standard nowadays. The geometric and semantic information representations of IFC are very complex, and the scale of the model is increasing. The existing automatic model checking methods based on memory or fixed path queries are faced with challenges of time, space efficiency and query complexity. To solve these problems, an IFC model checking method based on knowledge base is proposed. By parsing and modeling the IFC model into the labeled property graph (LPG) and storing it in the graph database, the reasonable and query-flexible structured knowledge is formed. Based on the establishment of knowledge base, we designed a property link reasoning and pruning based IFC semantic checking algorithms and the related geometric checking algorithms. The IfcGraph automatic checking system is developed, which realizes efficient storage and flexible checking of models and improves the efficiency and usability of the automatic checking process. Finally, the feasibility of the proposed method and system is verified by a practical engineering project.

Key words: BIM, IFC, model checking, knowledge base, LPG