首页|基于改进YOLOv5的输变电设备鸟害识别方法研究

基于改进YOLOv5的输变电设备鸟害识别方法研究

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目前,由鸟类在架空输电线路输变电设备上排便、筑巢、飞行、鸟啄等活动引起的输电线路故障次数有明显上升趋势.然而,传统的输变电设备鸟类检测方式存在误检问题,不能够满足输变电设备涉鸟灾害防治场景的精准检测要求,已不符合当前电网建设和发展需要.本文输变电设备利用改进YOLOv5算法对输变电设备上的鸟类进行精准识别,进而为驱逐防御提供关键信息,有助于提高鸟害防御覆盖面和设备利用效果,实现鸟害防治效果的最大化.
Research on Bird Identification in Power Transmission and Transformation Equipment by Using Optimized YOLOv5
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.

power transmission and transformation equipmentdamage by birdsYOLOv5bird repellent

张浩、龚彧、王爱军、徐浩、蒋宇

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国网江苏省电力有限公司盐城供电公司,江苏盐城 224005

输变电设备 鸟害 YOLOv5 驱鸟

2024

南京工程学院学报(自然科学版)
南京工程学院

南京工程学院学报(自然科学版)

影响因子:0.185
ISSN:1672-2558
年,卷(期):2024.22(2)