Unraveling the Power of IoT and Big Data in Urban Rail Transit Tunnel Intelligent Safety Monitoring |
| Hongjie Xu Lixin Li Jiakai Han |
| TIANJIN DONGFANG Tairui TECHNOLOGY CO.,LTD, Tianjin 300171, China |
Abstract ：With the global explosive growth of urban rail transit, urban rail transit tunnels (core transit arteries) have become more complex and lengthy, facing rising safety risks from natural factors, mechanical wear, and corrosion. Traditional monitoring methods (manual inspections, basic fixed-point sensors) are inefficient, narrowly covered, and low in data accuracy, failing to meet modern safety needs. This study develops an intelligent safety monitoring system for such tunnels using IoT and Big Data. It designs core components: IoT sensor networks, Big Data management, and machine learning-based safety assessment algorithms. A Shanghai case study shows the system detected minor structural displacements (0.5–1.5 mm) and abnormal gas concentrations, cutting unplanned disruptions by ~30%. It also establishes evaluation indicators and proposes optimizations (5G, edge computing), addressing traditional monitoring shortcomings.
Keywords Urban Rail Transit Tunnel; Intelligent Safety Monitoring; Internet of Things (IoT); Big Data; Anomaly Detection
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Conflict of Interest
The author declares no conflict of interest.
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