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Automated code compliance checking research based on BIM and knowledge graph
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OA
AI
DOI：10.1038/s41598-023-34342-1.png)
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摘要
En 中文
Automated code compliance checking plays an important role in moving the construction industry forward. While traditional drawing review relies on the identification of industry experts, the purpose of this study is to realize automatic code review by using BIM technology and knowledge graph technology. The method is based on knowledge graph to transform the specification provisions involved in the review of drawings into a computer-recognizable structured language using natural language processing technology to form a human-machine-readable knowledge graph pattern. For the review of BIM models, the BIM model information is exported and the global resource description framework of the building model is obtained in protege, and the review report is finally obtained after mapping rules and review rules. Finally, the feasibility of the method is verified by an example. This study can effectively solve the problems of manual dependency and inefficiency in the process of review.
Keyword:
FRAMEWORK
ONTOLOGY
DESIGN
NLP
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期刊
IF:
3.9
论文数:
28.2W
被引数:
83.5W
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引用论文
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