| Citation: | Yuyong Jiao, Jian-Feng Qi, Hongbin An, Luyi Shen, Fei Zheng, Zhi Li, You Zhang, Lingling He. Automated Deformation Monitoring for Urban Subway Tunnelling Risk Assessment: A Case Study from the Wuhan Metro Line 12. Journal of Earth Science, 2026, 37(5): 2367-2380. doi: 10.1007/s12583-024-0031-2
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Monitoring deformation is of critical importance for tunnel boring projects. This importance is further amplified for the metro construction project that involves boring beneath or near susceptible civil infrastructures. Here, we present a case study that uses a robotic total station to perform automated deformation monitoring inside a tunnel during excavation. Further, enabled with the Internet of Things technology, the monitoring data are streamlined through wireless internet access points and processed by a remote control center. A complete suite of software is deployed that can: (1) automatically process monitoring data; (2) set differentiated triggering thresholds corresponding to hazardous incidents of varying levels; (3) store data for subsequent analysis, which includes data visualization, overall risk level quantification, and predictive modelling. Built upon this automated system, a triage of risk response protocol is established that performs reactive treatment according to the levels of reported hazards. A de-risk process, involving third party review, is also established. Overall, this report demonstrates our effort in monitoring the tunnel's deformation with an automated system to save cost and reduce human-induced errors. This report can be a useful reference for other engineers performing metro tunneling tasks.
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