Design and Exploration of Real Time Monitoring System for Power Grid Operation Safety Based on YOLO Object Detection Algorithm

Abstract

As a fundamental industry of the national economy, the development level of the power industry directly affects the national economic construction and people's lives. With the continuous acceleration of modernization, higher requirements have been put forward for the safe operation of the PG. Therefore, it is necessary to achieve the integration of remote real-time monitoring, management, and maintenance under the current situation, and combine modern information technology methods for research and analysis. To meet the system requirements and ensure the quality of power supply, a suitable and efficient job safety management system platform is designed for the practical situation of power grid (PG) operation safety, and is based on the YOLO (You Only Look Once) algorithm operating environment. This platform can be effectively applied in daily electricity management work to improve the production efficiency and economic benefits of PG enterprises. Afterwards, this article also conducted functional testing on the security real-time monitoring system, and the test results showed that the accuracy of the system reached over 80%; the recall rate was over 85%; the average accuracy was between 0.4 and 0.7; the system stability was between 90% and 97%; the scalability of the system was over 93%.