Cargando…

A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling

Safety issues have always been of great concern to the metro construction industry. Numerous studies have shown that safety issues are closely related to the design phase. Many safety problems can be solved or improved by developing the design. This study proposes a structured identification method...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Ping, Shang, Yongtao, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049134/
https://www.ncbi.nlm.nih.gov/pubmed/36981674
http://dx.doi.org/10.3390/ijerph20064765
_version_ 1785014377232990208
author Liu, Ping
Shang, Yongtao
Zhang, Lei
author_facet Liu, Ping
Shang, Yongtao
Zhang, Lei
author_sort Liu, Ping
collection PubMed
description Safety issues have always been of great concern to the metro construction industry. Numerous studies have shown that safety issues are closely related to the design phase. Many safety problems can be solved or improved by developing the design. This study proposes a structured identification method for safety risks based on the metro design specifications, journal literature, and expert experience. A safety knowledge base (KB) for the design was established to realize safety knowledge sharing and reusing. The KB has been developed into Building Information Modeling (BIM) software as an inspection plug-in to achieve automated analysis and retrieval of safety risks. The designers are provided with a visualization of risk components to locate and improve the pre-control measures of the design. Subsequently, the process of design for safety (DFS) database creation was demonstrated with a metro station project, and the feasibility of applying the KB to safety checking in BIM was verified. In response to the inspection results, safety risks in the construction phases can be eliminated or avoided by standardizing and improving the design.
format Online
Article
Text
id pubmed-10049134
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100491342023-03-29 A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling Liu, Ping Shang, Yongtao Zhang, Lei Int J Environ Res Public Health Article Safety issues have always been of great concern to the metro construction industry. Numerous studies have shown that safety issues are closely related to the design phase. Many safety problems can be solved or improved by developing the design. This study proposes a structured identification method for safety risks based on the metro design specifications, journal literature, and expert experience. A safety knowledge base (KB) for the design was established to realize safety knowledge sharing and reusing. The KB has been developed into Building Information Modeling (BIM) software as an inspection plug-in to achieve automated analysis and retrieval of safety risks. The designers are provided with a visualization of risk components to locate and improve the pre-control measures of the design. Subsequently, the process of design for safety (DFS) database creation was demonstrated with a metro station project, and the feasibility of applying the KB to safety checking in BIM was verified. In response to the inspection results, safety risks in the construction phases can be eliminated or avoided by standardizing and improving the design. MDPI 2023-03-08 /pmc/articles/PMC10049134/ /pubmed/36981674 http://dx.doi.org/10.3390/ijerph20064765 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Ping
Shang, Yongtao
Zhang, Lei
A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling
title A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling
title_full A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling
title_fullStr A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling
title_full_unstemmed A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling
title_short A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling
title_sort design for safety (dfs) framework for automated inspection risks in metro stations by integrating a knowledge base and building information modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049134/
https://www.ncbi.nlm.nih.gov/pubmed/36981674
http://dx.doi.org/10.3390/ijerph20064765
work_keys_str_mv AT liuping adesignforsafetydfsframeworkforautomatedinspectionrisksinmetrostationsbyintegratingaknowledgebaseandbuildinginformationmodeling
AT shangyongtao adesignforsafetydfsframeworkforautomatedinspectionrisksinmetrostationsbyintegratingaknowledgebaseandbuildinginformationmodeling
AT zhanglei adesignforsafetydfsframeworkforautomatedinspectionrisksinmetrostationsbyintegratingaknowledgebaseandbuildinginformationmodeling
AT liuping designforsafetydfsframeworkforautomatedinspectionrisksinmetrostationsbyintegratingaknowledgebaseandbuildinginformationmodeling
AT shangyongtao designforsafetydfsframeworkforautomatedinspectionrisksinmetrostationsbyintegratingaknowledgebaseandbuildinginformationmodeling
AT zhanglei designforsafetydfsframeworkforautomatedinspectionrisksinmetrostationsbyintegratingaknowledgebaseandbuildinginformationmodeling