Integration of Metro Tunnel Equipment Safety Early Warning System Based on Static-Dynamic Analysis
Journal Title: Urban Mass Transit - Year 2025, Vol 28, Issue 6
Abstract
[Objective] In response to issues such as periodic wind pressure caused by high-speed train operations in metro tunnels and fastener loosening due to equipment self-excitation, traditional manual maintenance suffers from delayed responses and insufficient predictive capabilities. It is urgently necessary to develop an intelligent early-warning system to achieve equipment status real-time monitoring and risk alerting, thereby improving the efficiency of operation and maintenance management. [Method] Based on the tunnel equipment loosening mechanism, a metro tunnel equipment safety early-warning system is constructed using static-dynamic analysis. The system collects vibration data through distributed sensors, extracts vibration features, and adopts a centralized management model for real-time monitoring and intelligent early-warning of equipment vibration status. Taking a specific metro station tunnel as an example, a comparative analysis for laboratory simulation and in-situ tunnel test is conducted. [Result & Conclusion] The safety early-warning system for metro tunnel equipment based on static-dynamic analysis could meet the design requirements in terms of early warning accuracy. The system enables a transition from passive response to proactive prevention in equipment maintenance, and establishes a comprehensive technical framework encompassing data acquisition, intelligent analysis, and decision support. It achieves timely identification of abnormal equipment vibration and risk forecasting, forming a unified and efficient operation and maintenance management mechanism, and effectively reduces the risk of equipment failure.
Authors and Affiliations
Lele FAN, Ze YU, Likun HE, Shijie YUAN, Jie LAN, Weizhi YU, Jian LIU
Keywords
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- EP ID EP770023
- DOI 10.16037/j.1007-869x.20230545
- Views 1
- Downloads 0
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