Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
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Indexed in World Journal Clout Index (WJCI) Report
BAI Bin, CHEN Yong, DU Changqing, MAO Xintong, HAN Chao, LI Dongxin, HUANG Yuntian, ZHENG Xing, WANG Leilei. RESEARCH ON INTELLIGENT SECURITY MONITORING FOR BIM BASED ONINTERNET OF THINGS TECHNOLOGY[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(4): 175-179. doi: 10.13204/j.gyjz202004030
Citation: BAI Bin, CHEN Yong, DU Changqing, MAO Xintong, HAN Chao, LI Dongxin, HUANG Yuntian, ZHENG Xing, WANG Leilei. RESEARCH ON INTELLIGENT SECURITY MONITORING FOR BIM BASED ONINTERNET OF THINGS TECHNOLOGY[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(4): 175-179. doi: 10.13204/j.gyjz202004030

RESEARCH ON INTELLIGENT SECURITY MONITORING FOR BIM BASED ONINTERNET OF THINGS TECHNOLOGY

doi: 10.13204/j.gyjz202004030
  • Received Date: 2019-11-09
  • With the improvement of infrastructure construction, the more complicated infrastructure construction is, the more corresponding risk factors are. In order to create a safe and good construction environment, reduce occurrence of the risks, and enhance the risk management and control awareness of infrastructure staff, the risk control for infrastructure based on the internet of things technology was studied, the risk factors of key construction parts such as high formwork, deep foundation excavation,ect were analyzed, and most of the risks in the construction process were excluded. The intelligent monitoring system introduced in the paper could provide early warning in time before the occurrence of danger, provide early risk warning for the field staff, and also assist the management staff in risk management and control. The automation and real-time characteristics of the internet of things technology improved the frequency of on-site safety monitoring, greatly shorten the time of abnormal response, improved the level of safety monitoring and early warning at construction sites, and formed the overall solution of real-time perception, timely transmission, intelligent identification and analysis of early warning for the risk operation surface of temporary support monitoring in infrastructure construction, which effectively promoted the integration of the internet of things for ubiquitous electric system power and infrastructure work of power transmission and transformation projects.
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    KAUFHOLD J. KOHL J, NERELLA V N.Wood-Based Support Material for Extrusion-Based Digital Construction[J]. Rapid Prototyping Journal,2019. DOI: 10.1108/RPJ-04-2018-0109.
    刘文坤,金博,李松,等.基于智能无线监测系统医院狭小密闭空间超厚板高支模安全监测技术[J].施工技术, 2019, 48(18):59-63.
    邱凌云,卢凌燕,黄银俊.大型高支模施工中的多传感器集成监测系统及其应用研究[J].测绘地理信息, 2019(4):42-44.
    马宏武,周勇,郭祥军,等.高支模支撑架体智能监控技术[J].施工技术, 2018, 47(增刊1):347-349.
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