Research on a BIM Model Quality Compliance Checking Method Based on a Knowledge Graph

With the development of information technology, building information modeling (BIM) is becoming widely used in the construction industry. It is very important to ensure the quality and compliance of BIM models. To solve the problem of time-consuming and laborious traditional checking methods and the limitation that existing software hard coding cannot adapt to rule changes, this paper proposes a BIM model quality compliance checking method based on knowledge graph that can quickly check BIM models through automated checking and ensure the modeling quality of BIM models. Firstly, knowledge extraction for BIM modeling standards and delivery standards is carried out based on knowledge graph technology to structurally represent text. Then, Revit secondary development technology and the C# programming language are adopted to develop a BIM model quality compliance checking system based on the knowledge graph analysis results and the structured query language (SQL) built-in rule knowledge base. Based on the knowledge base, the BIM model is automatically checked for quality compliance, and the naming, material, parameters, and rationality of each professional component are checked. Next, it is checked whether it conforms to the standard. Finally, the model modification plan is provided by checking the problem components and noncompliance details. The case application results show that the BIM model quality compliance checking system developed based on knowledge graph technology can identify defects or errors that do not meet the standards in the model, verify the feasibility and practicability of the system, and provide a new method for BIM designers to modify and improve the model.

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Publication Details

Journal
Journal of Computing in Civil Engineering
Published
2024-10-17
DOI
https://doi.org/10.1061/jccee5.cpeng-5950
Citations
10
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.65
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article

Research on a BIM Model Quality Compliance Checking Method Based on a Knowledge Graph

Jianliang Zhou, Kewei Dai, Lei Cheng, Xuehai Fu et al.
10 citations
Journal of Computing in Civil Engineering
BIM and Construction Integration
2.65
article

Research on a BIM Model Quality Compliance Checking Method Based on a Knowledge Graph

Jianliang Zhou, Kewei Dai, Lei Cheng, Xuehai Fu, S. M. Zhu, Yan Wang
article en
10 citations

Abstract

With the development of information technology, building information modeling (BIM) is becoming widely used in the construction industry. It is very important to ensure the quality and compliance of BIM models. To solve the problem of time-consuming and laborious traditional checking methods and the limitation that existing software hard coding cannot adapt to rule changes, this paper proposes a BIM model quality compliance checking method based on knowledge graph that can quickly check BIM models through automated checking and ensure the modeling quality of BIM models. Firstly, knowledge extraction for BIM modeling standards and delivery standards is carried out based on knowledge graph technology to structurally represent text. Then, Revit secondary development technology and the C# programming language are adopted to develop a BIM model quality compliance checking system based on the knowledge graph analysis results and the structured query language (SQL) built-in rule knowledge base. Based on the knowledge base, the BIM model is automatically checked for quality compliance, and the naming, material, parameters, and rationality of each professional component are checked. Next, it is checked whether it conforms to the standard. Finally, the model modification plan is provided by checking the problem components and noncompliance details. The case application results show that the BIM model quality compliance checking system developed based on knowledge graph technology can identify defects or errors that do not meet the standards in the model, verify the feasibility and practicability of the system, and provide a new method for BIM designers to modify and improve the model.

Journal of Computing in Civil EngineeringVol. 39(1)
China University of Mining and Technology (CN)
Openalex Percentile: Top 11%
BIM and Construction Integration
2.65
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