绝缘体(电)
电力传输
计算机科学
故障检测与隔离
输电线路
网格
电弧闪光
人工智能
阈值限值
电网
计算机视觉
实时计算
电子工程
功率(物理)
工程类
电气工程
数学
电信
医学
物理
几何学
环境卫生
量子力学
执行机构
作者
Fang Shang,Zhu Mingze,Sheng Liu,Xiaoyu Wang,Chou Haiyang
出处
期刊:2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)
日期:2020-06-01
被引量:10
标识
DOI:10.1109/itoec49072.2020.9141749
摘要
With the rapid development of power grid construction, more and more attention has been paid to the automatic inspection of transmission lines. In order to detect the defect of insulator in transmission line, the detection method based on the color and space distance of insulator in aerial image is described. This method fully considers the previous work experience, introduces two factors of color and distance in the design, and makes full use of prior information to optimize the key steps in the algorithm, and gives the experience value, so that the algorithm can effectively avoid missed detection and false detection, and work efficiently and accurately at the same time. The algorithm has a good detection effect for insulator missing, pollution flashover and bird droppings accumulation.
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