Intrusion detection of intelligent substation video surveillance based on average background interframe difference method

According to the characteristics of intelligent substation integrated monitoring system, such as many kinds of equipment, large amount of information and wide range of involved fields, this paper studies the intrusion detection technology of intelligent substation video surveillance on the basis of intelligent substation. In this paper, moving target intrusion detection algorithm in video surveillance subsystem is deeply studied. Combining the advantages and disadvantages of existing detection methods, an improved interframe difference method based on average background is proposed. The performance of the algorithm before and after improvement is analyzed by simulation. The results show that the performance of the improved algorithm is significantly improved, the precision rate is increased by 30% and the recall rate is increased by 41.33% compared with that before the improvement, which has a certain promotion effect on the linkage of the monitoring system.