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Automated compliance checking for BIM models based on Chinese-NLP and knowledge graph: an integrative conceptual framework

Sihao Li (School of Civil Engineering, Southeast University, Nanjing, China)
Jiali Wang (School of Civil Engineering, Southeast University, Nanjing, China)
Zhao Xu (School of Civil Engineering, Southeast University, Nanjing, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 29 March 2024

161

Abstract

Purpose

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information carried by BIM models have made compliance checking more challenging, and manual methods are prone to errors. Therefore, this study aims to propose an integrative conceptual framework for automated compliance checking of BIM models, allowing for the identification of errors within BIM models.

Design/methodology/approach

This study first analyzed the typical building standards in the field of architecture and fire protection, and then the ontology of these elements is developed. Based on this, a building standard corpus is built, and deep learning models are trained to automatically label the building standard texts. The Neo4j is utilized for knowledge graph construction and storage, and a data extraction method based on the Dynamo is designed to obtain checking data files. After that, a matching algorithm is devised to express the logical rules of knowledge graph triples, resulting in automated compliance checking for BIM models.

Findings

Case validation results showed that this theoretical framework can achieve the automatic construction of domain knowledge graphs and automatic checking of BIM model compliance. Compared with traditional methods, this method has a higher degree of automation and portability.

Originality/value

This study introduces knowledge graphs and natural language processing technology into the field of BIM model checking and completes the automated process of constructing domain knowledge graphs and checking BIM model data. The validation of its functionality and usability through two case studies on a self-developed BIM checking platform.

Keywords

Acknowledgements

The authors gratefully acknowledge the funding provided by the “National Natural Science Foundation of China (No: 72071043)” and the “National Key Research and Development Program of China (No: 2022YFC3803600).”

Citation

Li, S., Wang, J. and Xu, Z. (2024), "Automated compliance checking for BIM models based on Chinese-NLP and knowledge graph: an integrative conceptual framework", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-10-2023-1037

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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