The number of overhead transmission line failures caused by bird activities has also increased significantly.When birds defecate,build nests,fly,peck and other activities on the lines,they can cause damage to power transmission and transformation equipment or cause line tripping and malfunction outage.However,the traditional bird detection method for power transmission and transformation equipment has the problem of false detection,cannot meet the accurate detection requirements of bird-related disaster prevention and control scenarios for power transmission and transformation equipment,and is no longer in line with the current needs of power grid construction and development.This article uses the improved YOLOv5 algorithm to accurately identify birds in power transmission and transformation equipment,thereby providing key information for expulsion defense,which helps to improve the coverage of bird damage defense and equipment utilization effects,and maximize the effect of bird damage prevention and control.
关键词
输变电设备/鸟害/YOLOv5/驱鸟
Key words
power transmission and transformation equipment/damage by birds/YOLOv5/bird repellent
万方数据