Research and Application for Intelligent Video Analysis Algorithm in Substation Monitoring System
This paper is mainly based on the video monitoring of unmanned substation, with the detection and tracking object of moving target, combined with the inter-frame difference method and background difference method, in order to achieve effective detection of moving targets through improving the traditional algorithm; combined with cam- shift algorithm and mean-shift algorithm to reduce the calculated amount and improve the accuracy of target tracking, in order to achieve intelligence level of substation video monitoring. This paper uses the computer vision and video analysis method to further analyze and understand the image sequences recorded by the camera, and links with related equipment to do simple processing while timely giving an alarm and feedback to monitoring personnel. In this way, the monitoring personnel can offer centralized processing for accident alarm, thus greatly reducing erroneous judgment and missing judgment of accidents, and improving the reliability, accuracy and timeliness of the alarm. Therefore, the intelligent video analysis is applied to substation attending, and combined with the traditional monitoring system, thus having a very important significance on security monitoring of the substation.