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电力大数据:2023,26(2):-
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基于智能图像识别的无人机电力线路安全巡检方法
徐晓敏, 刘鑫, 朱正磊, 郭青玄, 戴欣
(国网淮安供电公司)
Safety Inspection Method of UAV Power Line Based on Intelligent Image Recognition
xuxiaomin, liuxin, zhuzhenglei, guoqinxuan, daixin
(STATE GRID HUAIAN POWER SUPPLY COMPANY)
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投稿时间:2022-05-25    修订日期:2023-05-18
中文摘要: 为了解决无人机电力线路巡检过程中安全性指标偏低问题,降低了无人机电力线路巡检效率,因此提出基于智能图像识别设计新的无人机电力线路安全巡检方法。采集无人机电力线路安全巡检图像并加以滤波处理,基于智能图像识别技术设计无人机线路巡检识别算法,采用最优全局概率搜索遗传算法规划无人机电力线路安全巡检路径,实现了无人机电力线路安全巡检。结果表明,设计的无人机电力线路安全巡检方法的巡检安全性指标较高,证明设计的无人机电力线路安全巡检方法的巡检效果较好,具有可靠性,具有一定的应用价值。
Abstract:In order to solve the problem of low safety index in the process of uav power line inspection and reduce the efficiency of uav power line inspection, a new uav power line safety inspection method designed based on intelligent image recognition design is proposed.The image of uav power line safety inspection is collected and filtered, the uav line inspection and recognition algorithm is designed based on the intelligent image recognition technology, and the optimal global probability search genetic algorithm is used to plan the safety inspection path, realizing the safety inspection of uav power line.The results show that the inspection safety
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