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This article studies and develops an intelligent control emergency response system for power cable tunnels based on image recognition and ultra-wideband technology. The system aims to improve the safety monitoring and emergency response capabilities of cable tunnels by integrating real-time data transmission, multi-sensor data fusion, UWB (ultra-wideband) precise positioning, and AI (Artificial Intelligence) image recognition technology. The system has the ability to monitor data transmission and processing in real time and can quickly respond to emergency situations so as to effectively control sudden, hidden, and temporary security risks. In addition, the application of UWB technology provides precise positioning capability, which is crucial for ensuring personnel positioning in emergency response. AI image recognition technology can analyze surveillance video content, detect and handle potential construction hazards in a timely manner, and effectively prevent accidents from occurring. The application of this technology not only improves the efficiency of safety supervision but also enhances the safety guarantee ability of on-site operators.
Wang et al. (Tue,) studied this question.