Abstract
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.
Highlights
Urban development often requires the use of underground space
Considering the safety need for addressing both precise position tracking and real-time on-site monitoring, this paper chose Building Information Modeling (BIM) and IoT technologies to create a construction Safety Management System of Deep Foundation Pits (SMSoDFP). e deep foundation pit was chosen as the study object to develop a prototype system framework for (1) identifying and visualizing the potential hazardous areas during design, (2) integrating the sensor data in BIM model during construction, and (3) providing early warnings and visualized tools in the BIM model according to the monitoring data in web platform
A system framework prototype was proposed for the safety management of deep foundation pits based on BIM and IoT. is prototype system has proven to be feasible and effective within the limits set by the experiment. e contractor who supported this experiment made the following comments and suggestions: Firstly, the proposed system framework has great potential value for on-site safety management
Summary
Urban development often requires the use of underground space. As a result, deep excavation pits for foundations have become more and more common in building construction. Considering the safety need for addressing both precise position tracking and real-time on-site monitoring, this paper chose BIM and IoT technologies to create a construction Safety Management System of Deep Foundation Pits (SMSoDFP). E deep foundation pit was chosen as the study object to develop a prototype system framework for (1) identifying and visualizing the potential hazardous areas during design, (2) integrating the sensor data in BIM model during construction, and (3) providing early warnings and visualized tools in the BIM model according to the monitoring data in web platform.
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