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

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