Safety Management System Prototype/Framework of Deep Foundation Pit Based on BIM and IoT
Wenhan Fan, Jianliang Zhou, Jian-Ming Zhou, Dandan Liu, Wenjing Shen, Jiarui Gao
China University of Mining and Technology State Key Laboratory for Geomechanics and Deep Underground Engineering Shanxi Vocational & Technical College of Finance & Trade Weifang Engineering Vocational College
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摘要与影响
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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社会科学Occupational Health and Safety Research
BIM and Construction Integration · Construction Engineering and Safety
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