A Design for Safety (DFS) Semantic Framework Development Based on Natural Language Processing (NLP) for Automated Compliance Checking Using BIM: The Case of China

被引:10
|
作者
Zhou, Yilun [1 ,2 ]
She, Jianjun [1 ,2 ]
Huang, Yixuan [1 ]
Li, Lingzhi [1 ,2 ]
Zhang, Lei [3 ]
Zhang, Jiashu [4 ]
机构
[1] Nanjing Tech Univ, Coll Civil Engn, Nanjing 210096, Peoples R China
[2] Nanjing Tech Univ, Smart City Res Ctr, Nanjing 210096, Peoples R China
[3] Lanzhou Jiaotong Univ, Sch Civil Engn, Dept Engn Management, Lanzhou 730070, Peoples R China
[4] Southeast Univ, Sch Civil Engn, Dept Construct & Real Estate, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
building information modeling; design for safety; natural language processing; ontology; semantic web; automated compliance checking; CONSTRUCTION SAFETY; KNOWLEDGE; MODEL;
D O I
10.3390/buildings12060780
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For design for safety (DFS), automated compliance checking methods have received extensive attention. Although many research efforts have indicated the potential of BIM and ontology for automated compliance checking, an efficient methodology is still required for the interoperability and semantic representation of data from different sources. Therefore, a natural language processing (NLP)-based semantic framework is proposed in this paper, which implements rules-based automated compliance checking for building information modeling (BIM) at the design stage. Semantic-rich information can be extracted from safety regulations by NLP methods, which were analyzed to generate conceptual classes and individuals of ontology and provide a corpus basis for rule classification. The data on BIM was extracted from Revit to a spreadsheet using the Dynamo tool and then mapped to the ontology using the Cellfie tool. The interoperability of different source data was well improved through the isomorphism of information in the framework of semantic integration, causing data processed by the semantic web rule language to be transformed from safety regulations to achieve the purpose that automated compliance checking is implemented in the design documents. The practicability and scientific feasibility of the proposed framework was verified through a 95.21% recall and a 90.63% precision in compliance checking of a case study in China. Compared with traditional compliance checking methods, the proposed framework had high efficiency, response speed, data interoperability, and interaction.
引用
收藏
页数:25
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