基于YOLOv5的图像检测技术在线路巡检中的应用
Application of YOLOv5-based Image Detection Technology in the Inspection of Transmission Lines
闫付乐 1蔡永挚 1段进丽 1罗伟 1郑琛琛1
作者信息
- 1. 国网北京市电力公司,北京 100051
- 折叠
摘要
小型化巡检机器人的应用可降低人工线路巡检的劳动强度并提高检测效率,同时改善人工巡检盲区等问题.介绍了小型化巡检机器人系统,同时基于YOLOv5及其改进算法,根据巡检机器人拍摄的图像制作数据集,并进行目标图像检测试验验证,表明改进后的算法具备更加精准的识别能力,有效保障了输电线路中设备的安全稳定运行.
Abstract
Smart inspection robots are applied to reduce the labor intensity in manual inspection of transmission lines,enhance the inspection efficiency,and improve the manual inspection of blind spots.A smart inspection robot system is introduced,and a data set is created based on YOLOv5 and its improved algorithm as well as the images captured by the inspection robots.Target image detection experiments conducted for verification show that the improved algorithm is of more accurate recognition capacity,which effectively ensures the safe and stable operation of equipment in transmission lines.
关键词
输电线路/图像检测/巡检机器人/YOLOv5算法Key words
transmission line/image detection/inspection robots/YOLOv5 algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据