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As the demand for electricity continues to grow, the coverage of transmission lines is getting larger. Despite the continuous improvement of the grid system, transmission lines are still vulnerable to various natural disasters. At the same time, many transmission lines are installed in areas with harsh environments and other places that are difficult for operation and maintenance personnel to reach, which brings huge challenges to the operation and maintenance of transmission lines. Therefore, how to effectively detect the status of the transmission line and ensure the normal operation of the power grid has become an important research topic in the power system. The existing video surveillance-based methods need to decode the video, which has poor real-time performance. Therefore, this paper proposes a transmission line abnormality monitoring method based on video stream analysis. Using the extracted parameters for judgment before decoding the video stream can effectively improve the real-time performance of online monitoring of the transmission line and greatly shorten the time required for abnormal alarms.

Abnormality detection method for transmission lines based on video code stream analysis