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

被引:11
作者
Fan, Wenhan [1 ,2 ]
Zhou, Jianliang [1 ]
Zhou, Jianming [3 ]
Liu, Dandan [1 ]
Shen, Wenjing [1 ]
Gao, Jiarui [1 ]
机构
[1] China Univ Min & Technol, Sch Mech & Civil Engn, State Key Lab GeoMech & Deep Underground Engn, Xuzhou, Jiangsu, Peoples R China
[2] Shanxi Vocat & Tech Coll Finance & Trade, Sch Engn & Art Design, Taiyuan, Peoples R China
[3] Weifang Engn Vocat Coll, Weifang, Peoples R China
关键词
CONSTRUCTION; CHECKING;
D O I
10.1155/2021/5539796
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页数:19
相关论文
共 21 条
[1]   The effectiveness of an integrated BIM/UAV model in managing safety on construction sites [J].
Alizadehsalehi, Sepehr ;
Yitmen, Ibrahim ;
Celik, Tolga ;
Arditi, David .
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2020, 26 (04) :829-844
[2]  
China MOHURD, 2009, SAF MEAS SUBPR HIGH
[3]   A comprehensive analysis of soft soil foundation pit accident [J].
Hu, Hui ;
Tang, LianSheng ;
Lin, XingLi ;
Kuang, Fei .
PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING II, PTS 1-4, 2013, 405-408 :3-+
[4]   A science mapping approach based review of construction safety research [J].
Jin, Ruoyu ;
Zou, Patrick X. W. ;
Piroozfar, Poorang ;
Wood, Hannah ;
Yang, Yang ;
Yan, Libo ;
Han, Yu .
SAFETY SCIENCE, 2019, 113 :285-297
[5]  
Kai-Tung Liu, 2017, ICIC Express Letters, Part B: Applications, V8, P319
[6]   Proactive training system for safe and efficient precast installation [J].
Li, Heng ;
Lu, Miaojia ;
Chan, Greg ;
Skitmore, Martin .
AUTOMATION IN CONSTRUCTION, 2015, 49 :163-174
[7]  
Lin H., 1990, J. Perform. Constr. Facil, V4, P259, DOI [10.1061/(ASCE)0887-3828(1990)4:4(259), DOI 10.1061/(ASCE)0887-3828(1990)4:4(259)]
[8]   A case study on automated safety compliance checking to assist fall protection design and planning in building information models [J].
Melzner, Juergen ;
Zhang, Sijie ;
Teizer, Jochen ;
Bargstaedt, Hans-Joachim .
CONSTRUCTION MANAGEMENT AND ECONOMICS, 2013, 31 (06) :661-674
[9]   A framework for construction safety management and visualization system [J].
Park, Chan-Sik ;
Kim, Hyeon-Jin .
AUTOMATION IN CONSTRUCTION, 2013, 33 :95-103
[10]  
Qian QH, 2016, J ROCK MECH GEOTECH, V8, P423, DOI 10.1016/j.jrmge.2016.04.001