Study on an improved real-time monitoring and fusion prewarning method for water inrush in tunnels

Abstract As a common geological hazard in tunnel construction, monitoring and early warning is an effective way to prevent and control the occurrence of water inrush. However, the current monitoring and early warning method has areas that require improvement, including a lack of theoretical basis in monitoring information, the inability of real-time monitoring technology during tunnel construction, and the difficulty of fusing massive monitoring data. Therefore, a new real-time monitoring and fusion prewarning method for tunnel water inrush was proposed. First, sensitive information on the evolution process of water inrush was analyzed. Second, an improved method for the accurate measurement of sensors and wireless transmission bands suitable for complex tunnel environments was studied, and a real-time monitoring system for water inrush in tunnels was established. Third, a new early warning method for multi-information interval fusion based on evidence and fuzzy set theory was presented to realize the fusion of massive monitoring data in time series. Furthermore, the proposed method was successfully applied to the crossing river section of the Yuelongmen tunnel. The results had good agreement with the actual excavation situation, which verified that the proposed method was effective and practical.