The application of artificial intelligence in intelligent terminals on the edge of distribution station buildings

With the continuous development of video surveillance in distribution station buildings, the pressure of safety risk prevention and control under the massive data on the edge has been increasing year by year. The traditional operation and maintenance methods that heavily rely on manual labor can no longer meet the requirements of lean management. The article proposes an artificial intelligence based intelligent terminal application scheme for the edge side of distribution rooms, which realizes on-site intelligent analysis of video images. Accurate identification of equipment status such as meter readings for daily inspection images; At the same time, in response to real-time video surveillance requirements, various security risks such as personnel intrusion can be detected in a timely manner. By analyzing actual inspection images, the safety risk detection rate of this method is over 98%, greatly improving the inspection efficiency of distribution station buildings and effectively reducing the workload of operation and maintenance personnel.