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Automated code compliance checking research based on BIM and knowledge graph
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 technol...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151318/ https://www.ncbi.nlm.nih.gov/pubmed/37127765 http://dx.doi.org/10.1038/s41598-023-34342-1 |
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author | Peng, Junlong Liu, Xiangjun |
author_facet | Peng, Junlong Liu, Xiangjun |
author_sort | Peng, Junlong |
collection | PubMed |
description | 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 protégé, 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. |
format | Online Article Text |
id | pubmed-10151318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101513182023-05-03 Automated code compliance checking research based on BIM and knowledge graph Peng, Junlong Liu, Xiangjun Sci Rep Article 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 protégé, 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. Nature Publishing Group UK 2023-05-01 /pmc/articles/PMC10151318/ /pubmed/37127765 http://dx.doi.org/10.1038/s41598-023-34342-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Peng, Junlong Liu, Xiangjun Automated code compliance checking research based on BIM and knowledge graph |
title | Automated code compliance checking research based on BIM and knowledge graph |
title_full | Automated code compliance checking research based on BIM and knowledge graph |
title_fullStr | Automated code compliance checking research based on BIM and knowledge graph |
title_full_unstemmed | Automated code compliance checking research based on BIM and knowledge graph |
title_short | Automated code compliance checking research based on BIM and knowledge graph |
title_sort | automated code compliance checking research based on bim and knowledge graph |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151318/ https://www.ncbi.nlm.nih.gov/pubmed/37127765 http://dx.doi.org/10.1038/s41598-023-34342-1 |
work_keys_str_mv | AT pengjunlong automatedcodecompliancecheckingresearchbasedonbimandknowledgegraph AT liuxiangjun automatedcodecompliancecheckingresearchbasedonbimandknowledgegraph |