Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT

With the huge demand for building underground spaces, deep foundation pits are becoming more and more common in underground construction. Due to the serious effects associated with accidents that occur in deep foundation pits, it is very important for underground construction safety management to be...

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Main Authors: Wenhan Fan, Jianliang Zhou, Jianming Zhou, Dandan Liu, Wenjing Shen, Jiarui Gao
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/5539796
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author Wenhan Fan
Jianliang Zhou
Jianming Zhou
Dandan Liu
Wenjing Shen
Jiarui Gao
author_facet Wenhan Fan
Jianliang Zhou
Jianming Zhou
Dandan Liu
Wenjing Shen
Jiarui Gao
author_sort Wenhan Fan
collection DOAJ
description With the huge demand for building underground spaces, deep foundation pits are becoming more and more common in underground construction. Due to the serious effects associated with accidents that occur in deep foundation pits, it is very important for underground construction safety management to be proactive, targeted, and effective. This research develops a conceptual framework adopting BIM and IoT to aid the identification and evaluation of hazards in deep foundation pit construction sites using an automated early warning system. Based on the accident analysis, the system framework of Safety Management System of Deep Foundation Pits (SMSoDFP) is proposed; it includes a function requirement, system modules, and information needs. Further, the implementation principles are studied; they cover hazardous areas, namely, visualization, personnel position monitoring, structural deformation monitoring, and automatic warning. Finally, a case study is used to demonstrate the effectiveness and feasibility of the system proposed. This research provides suggestions for on-site management and information integration of deep foundation pits, with a view to improving the safety management efficiency of construction sites and reducing accidents.
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institution Kabale University
issn 1687-8086
1687-8094
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-4a56c2a5ff2e40ada09edb456eeeaa642025-02-03T06:13:45ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/55397965539796Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoTWenhan Fan0Jianliang Zhou1Jianming Zhou2Dandan Liu3Wenjing Shen4Jiarui Gao5School of Mechanics and Civil Engineering, State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechanics and Civil Engineering, State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaWeifang Engineering Vocational College, Weifang, ChinaSchool of Mechanics and Civil Engineering, State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechanics and Civil Engineering, State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechanics and Civil Engineering, State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaWith the huge demand for building underground spaces, deep foundation pits are becoming more and more common in underground construction. Due to the serious effects associated with accidents that occur in deep foundation pits, it is very important for underground construction safety management to be proactive, targeted, and effective. This research develops a conceptual framework adopting BIM and IoT to aid the identification and evaluation of hazards in deep foundation pit construction sites using an automated early warning system. Based on the accident analysis, the system framework of Safety Management System of Deep Foundation Pits (SMSoDFP) is proposed; it includes a function requirement, system modules, and information needs. Further, the implementation principles are studied; they cover hazardous areas, namely, visualization, personnel position monitoring, structural deformation monitoring, and automatic warning. Finally, a case study is used to demonstrate the effectiveness and feasibility of the system proposed. This research provides suggestions for on-site management and information integration of deep foundation pits, with a view to improving the safety management efficiency of construction sites and reducing accidents.http://dx.doi.org/10.1155/2021/5539796
spellingShingle Wenhan Fan
Jianliang Zhou
Jianming Zhou
Dandan Liu
Wenjing Shen
Jiarui Gao
Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
Advances in Civil Engineering
title Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
title_full Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
title_fullStr Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
title_full_unstemmed Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
title_short Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
title_sort safety management system prototype framework of deep foundation pit based on bim and iot
url http://dx.doi.org/10.1155/2021/5539796
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AT jianmingzhou safetymanagementsystemprototypeframeworkofdeepfoundationpitbasedonbimandiot
AT dandanliu safetymanagementsystemprototypeframeworkofdeepfoundationpitbasedonbimandiot
AT wenjingshen safetymanagementsystemprototypeframeworkofdeepfoundationpitbasedonbimandiot
AT jiaruigao safetymanagementsystemprototypeframeworkofdeepfoundationpitbasedonbimandiot