江西省电机工程学会网站

With the continuous improvement of intelligent operation and inspection requirements of transmission lines in power system，the popularization of online monitoring of transmission lines and uav inspection，a large number of transmis⁃ sion line defect image data are generated. However，traditional identification technology has low efficiency and inaccurate detection in the identification of transmission line defects. Based on transmission line defect source data，automatic trans⁃ mission line defect image recognition technology based on artificial intelligence is studied. The transmission line defect identification technology is optimized and improved through automatic video image defect identification and defect sample annotation technology of transmission line components. The field scene verification proves that，compared with the tradi⁃ tional identification technology，the proposed adaptive algorithm for the selected area of transmission line defects can effec ⁃ tively improve the identification efficiency of transmission line defects，and the identification accuracy is close to 100%， which provides a guarantee for the stable operation of the power transmission system in the power industry.

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