Study on an improved intelligent visual monitoring method of water inrush in complex construction environment of tunnels and engineering application

Abstract As one of the typical geological hazards that is very difficult to prevent, the monitoring and early warning technologies and methods of water inrush are increasingly becoming a hot research problem during the deep-buried and long tunnels construction. Aiming at its unpredictability and strong suddenness, the intelligent analysis method based on machine vision was introduced to monitor the hazard intuitively. According to the characteristics of a strong interference of tunnel construction environment, a new frame difference and background subtraction visual analysis algorithm was proposed. Meanwhile, the effectiveness and practicability of the proposed algorithm were verified by the borehole water inrush video. Then, the proposed method was used to conduct video surveillance on PDK170 + 671 of the parallel heading. The occurrence location of water inrush was effectively identified, and the water inflow was predicted according to the pixel point area, which provides a solution for real-time and continuous monitoring of water inrush.