On Intelligent Fire Drawings Review Based on Building Information Modeling and Knowledge Graph

Existing fire drawing review work relies on manual review, with inevitable problems such as human subjectivity, different standards, inefficiency, and missing detections. The demand of an efficient and accurate fire drawings review is increasing. To address that, intelligent drawings review is a possible solution. This paper proposes an intelligent building fire drawing review method based on building information modeling (BIM) and knowledge graph. The method connstructs the building fire knowledge graph (BFKG) based on building fire codes. A data extraction method based on BFKG is then used to extract the BIM data required for the fire drawing review in a targeted manner. A classification rule for building data classification based on mandatory regulatory requirements and non-mandatory regulatory requirements is presented to help refine the fire review process and improve its accuracy. The proposed method was implemented and tested in a case study, which showed that the intelligent building fire drawing review can be carried out in an efficient and accurate manner.