Wireless sensing and prediction method for convergence deformation of mountain tunnels

Mastering the deformation laws of the surrounding rock during tunnelling is the key to the safety of construction. At present, the deformation detection of the tunnel section in the drilling and blasting method is mostly based on the total stations. Nevertheless, the amount of monitoring data applied in the detection was difficult to complete the fine analysis of convergence deformation. The wireless wensors network (WSN) is employed to realize the long-term continuous monitoring of key regions of the rock tunnel. Meanwhile, by setting up WSN monitoring equipment based on micro-electrical mechanical system sensors, a dynamic risk management and control system platform during tunnel construction based on Web is developed in Yingpanshan tunnel, Yunnan, China. Thus, the continuous monitoring of the deformation at the key region of the tunnel is realized. In addition, in accordance with the time series of deformation, the convergence deformation value of tunnel section is then predicted more accurately by the long short-term memory network. In summary, the performance of practical engineering application proveds the effectiveness of the proposed method.