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Journal of Graphics ›› 2023, Vol. 44 ›› Issue (5): 1021-1033.DOI: 10.11996/JG.j.2095-302X.2023051021

• BIM/CIM • Previous Articles     Next Articles

Semantic web-based BIM model integrity checking approach for power grid projects

PAN Ze-yu(), SHI Jian-yong(), JIANG Liu   

  1. Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2023-03-02 Accepted:2023-06-05 Online:2023-10-31 Published:2023-10-31
  • Contact: SHI Jian-yong (1975-), associate professor, Ph.D. His main research interests cover smart city digital twin and information and knowledge management of civil engineering. E-mail:shijy@sjtu.edu.cn
  • About author:PAN Ze-yu (1996-), PhD candidate. His main research interest covers key technologies for infrastructure digital twin. E-mail:panzeyu@sjtu.edu.cn
  • Supported by:
    Science and Technology Project of State Grid (China)(5200-202156486A-0-5-ZN)


Ensuring a balance between information supply and information demand among all stakeholders at each project stage is crucial for harnessing the full potential of building information modeling technology in project life cycle management. While many standards have been established at national, local, and corporate levels to standardize delivery requirements, there remains a lack of efficient model integrity checking approach to facilitate participants to deliver project information in a timely and effective manner. Currently, the conventional means of checking model information for each stage of delivery was manual and machine hard-coded. However, they suffered from high labor costs, missed judgments, and limited flexibility for updates. Considering the technical advantages and applications of the semantic web concept and related technologies in knowledge organization and management, and combining the results of existing digital delivery standards for power grid engineering, a semantic web-based BIM model integrity checking approach was proposed. It was composed of three parts: 1) establishing integrity checking ontology and model to-be-checked ontology using SKOS; 2) instantiating knowledge in the delivery standard and actual model information to the knowledge graph; 3) correlating the two through specific relationships and automating integrity checking on this basis through SPARQL. Finally, the validity of this method was demonstrated through case studies, showcasing its applicability in engineering project delivery integrity checking in other fields.

Key words: building information model, model integrity checking, semantic web, industry foundation classes, building information model delivery standard

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