东北电力技术2024，Vol.45Issue(10)：40-43,4.
配电网无人机自主巡检中绝缘子裂纹缺陷识别技术研究
Research on Identification Technology of Insulator Crack Defects of Unmanned Aerial Vehicle Autonomous Inspection in Distribution Network
刘昊 1顾广民 1赵力可 1冯艳阳 2杨星盟2
作者信息
- 1. 内蒙古电力(集团)有限责任公司鄂尔多斯供电分公司,内蒙古 鄂尔多斯 017000
- 2. 内蒙古电力(集团)有限责任公司,内蒙古 呼和浩特 010000
- 折叠
摘要
Abstract
There is a complex electromagnetic environment around the distribution network,which may cause interference to the flight stability and image transmission quality of unmanned aerial vehicles.Therefore,insulators are affected by various factors such as light-ing,angle,and obstruction,leading to misjudgments or omissions in the recognition results.So it researches the identification tech-nology of insulator crack defects of unmanned aerial vehicle autonomous inspection in distribution networks.Firstly,it completes multi-source fusion of insulator images collected by sensors mounted on unmanned aerial vehicle.Secondly,it improves the convolu-tional neural network,establishes a loss function,and achieves the identification of insulator crack defects.Finally,the experimental results indicate that the studied technology can accurately extract the characteristics of insulators,and the fusion of multi-source images collected during unmanned aerial vehicle inspection effectively improves the accuracy of identifying insulator crack defects.关键词
配电网/无人机自主巡检/绝缘子/裂纹缺陷Key words
distribution network/unmanned aerial vehicle autonomous inspection/insulator/crack defect分类
信息技术与安全科学引用本文复制引用
刘昊,顾广民,赵力可,冯艳阳,杨星盟..配电网无人机自主巡检中绝缘子裂纹缺陷识别技术研究[J].东北电力技术,2024,45(10):40-43,4.
