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BIM-based digital platform and risk management system for mountain tunnel construction
During the construction of mountain tunnels, there are often various intricate and mutable potential hazards, the management and control of which are crucial to ensuring the safety of such construction. With the rapid advancement of engineering information technologies, including Building Informatio...
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/PMC10172342/ https://www.ncbi.nlm.nih.gov/pubmed/37165050 http://dx.doi.org/10.1038/s41598-023-34525-w |
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author | Liu, Naifei Guo, Desai Song, Zhanping Zhong, Shiming Hu, Ruoqi |
author_facet | Liu, Naifei Guo, Desai Song, Zhanping Zhong, Shiming Hu, Ruoqi |
author_sort | Liu, Naifei |
collection | PubMed |
description | During the construction of mountain tunnels, there are often various intricate and mutable potential hazards, the management and control of which are crucial to ensuring the safety of such construction. With the rapid advancement of engineering information technologies, including Building Information Model (BIM), the internet, big data, and cloud computing, dynamic management of mountain tunnel construction will inevitably become a prevailing trend. This paper proposes a new digital approach to realize the informatization and visualization of risk management in mountain tunnel construction, by combining monitoring measurement with advanced geological prediction based on BIM technology. The proposed approach suggests a BIM-based digital platform architecture for mountain tunnel construction, which is comprised of five layers—basic, model, data, application, and user. The integration of these five layers can realize risk management information during the construction of mountain tunnels. In addition, a set of dynamic risk management systems, including risk monitoring, identification, and assessment, can be established based on the digital platform. The digital platform and dynamic risk management system proposed in this paper have certain advantages in the construction of mountain tunnels, providing a new and significant way for the management of safety risks in such construction projects. |
format | Online Article Text |
id | pubmed-10172342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101723422023-05-12 BIM-based digital platform and risk management system for mountain tunnel construction Liu, Naifei Guo, Desai Song, Zhanping Zhong, Shiming Hu, Ruoqi Sci Rep Article During the construction of mountain tunnels, there are often various intricate and mutable potential hazards, the management and control of which are crucial to ensuring the safety of such construction. With the rapid advancement of engineering information technologies, including Building Information Model (BIM), the internet, big data, and cloud computing, dynamic management of mountain tunnel construction will inevitably become a prevailing trend. This paper proposes a new digital approach to realize the informatization and visualization of risk management in mountain tunnel construction, by combining monitoring measurement with advanced geological prediction based on BIM technology. The proposed approach suggests a BIM-based digital platform architecture for mountain tunnel construction, which is comprised of five layers—basic, model, data, application, and user. The integration of these five layers can realize risk management information during the construction of mountain tunnels. In addition, a set of dynamic risk management systems, including risk monitoring, identification, and assessment, can be established based on the digital platform. The digital platform and dynamic risk management system proposed in this paper have certain advantages in the construction of mountain tunnels, providing a new and significant way for the management of safety risks in such construction projects. Nature Publishing Group UK 2023-05-10 /pmc/articles/PMC10172342/ /pubmed/37165050 http://dx.doi.org/10.1038/s41598-023-34525-w 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 Liu, Naifei Guo, Desai Song, Zhanping Zhong, Shiming Hu, Ruoqi BIM-based digital platform and risk management system for mountain tunnel construction |
title | BIM-based digital platform and risk management system for mountain tunnel construction |
title_full | BIM-based digital platform and risk management system for mountain tunnel construction |
title_fullStr | BIM-based digital platform and risk management system for mountain tunnel construction |
title_full_unstemmed | BIM-based digital platform and risk management system for mountain tunnel construction |
title_short | BIM-based digital platform and risk management system for mountain tunnel construction |
title_sort | bim-based digital platform and risk management system for mountain tunnel construction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172342/ https://www.ncbi.nlm.nih.gov/pubmed/37165050 http://dx.doi.org/10.1038/s41598-023-34525-w |
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