An Early Warning Model of Substation Over-Limit Based on Dynamic Multi-objective Intelligent Detection and Tracking Technology

Substation is a place for voltage and current conversion, electric energy receiving and distribution in the power system. Compared with other power facilities, it has the characteristics of a small maintenance work range, short maintenance work cycle, and high voltage of live equipment around the maintenance site, to meet the requirements of substation maintenance operation safety management and portable mobile auxiliary equipment system is not mature. At the same time, the daily maintenance, expansion, transformation and other tasks of substations often have problems such as tight schedules, heavy tasks, and many cross operations. Therefore, it is very necessary to monitor the personnel and equipment on the site of substation maintenance and operation. In this paper, a dynamic multi-objective intelligent detection and tracking model was build under complex background is established to comprehensively analyze the potential transgression behaviors in the substation safety area, and realize the over-limit early warning of personnel and equipment in the substation maintenance and operation site.