China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (S2): 189-195.doi: 10.16265/j.cnki.issn1003-3033.2025.S2.0025

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Research on construction and application of an intelligent risk management model for urban building collapse

LI Xiteng1,2(), MA Haitao1,3, YU Zhengxing2, ZHOU Yanfeng2, LI Xikun2,**()   

  1. 1 School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100091, China
    2 Cathay Safety Technology Co., Ltd., Beijing 102209, China
    3 Rural Safety Production Research Institute, China Academy of Safety Science and Technology, Beijing 100012, China
  • Received:2025-08-11 Online:2026-02-04 Published:2026-07-01
  • Contact: LI Xikun

Abstract:

To enhance the intrinsic safety level of urban buildings, a smart control and management model for urban building collapse risks was proposed, which consists of ″wide-scale census + refined monitoring + professional team verification″. Firstly, InSAR technology was employed for a wide-scale census of urban buildings. Secondly, intelligent sensing devices were utilized for refined monitoring. Then, on-site professional verification was conducted. Finally, empirical research was carried out by taking Shenzhen City and a single building as examples. Based on the intelligent management and control governance model that involves extensive scanning, meticulous monitoring, and specialized verification, it is possible to effectively identify urban buildings that may pose risks. Further, displacement monitoring equipment could be installed. According to the warning thresholds such as inclination, cracks, subsidence, strain, and displacement, regular monitoring could be conducted on the risk buildings that require local attention and priority focus. Then, targeted verification, assessment, and the adoption of necessary control measures could be carried out, effectively ensuring the safety of urban buildings.

Key words: urban building collapse, interferometric synthetic aperture radar(InSAR), large-scale survey, fine-scale monitoring, professional verification

CLC Number: