基于显著性加强和YOLOv5算法的输电线路异物快速识别方法研究

Research of Transmission Line Foreign Object Detection Base on the Improved YOLOv5

输电线路是电网中非常重要的一部分,它是电力转移和传输的载体。但是在输电线路上会经常出现异物,进而导致输电故障,造成经济损失和安全隐患。输电线路异物的快速识别能够及时发现隐患,避免故障产生。为此,提出一种基于显著性加强和YOLOV5算法的输电线路异物快速识别方法。结合某地区的输电线路检修相关图像数据进行验证,结果表明,该方法能够很好地提高输电线异物识别的精准度和速度。

The transmission line is very importance to the power system.But the foreign object can make more difficult to it.For example,some foreign objects on it would cause a short circuit of the transmission line or even a fire.In order to ensure the safe and stable operation of power facilities,intelligent inspection of transmission lines is particularly important power transmission.Therefore,this paper proposes an intelligent transmission line foreign object detection Base on the improved YOLOv5.The results show that this method can improve the accuracy of transmission line foreign object detection.