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基于改进YOLOv8s的绝缘子水冲洗检测方法

张燕春 赵桂毅 陈辉 李根 贺义平 胡常宇 卿朝进

计算机与现代化Issue(3):80-87,108,9.
计算机与现代化Issue(3):80-87,108,9.DOI:10.3969/j.issn.1006-2475.2026.03.011

基于改进YOLOv8s的绝缘子水冲洗检测方法

Improved YOLOv8s-based Method for Insulator Water Washing Detection

张燕春 1赵桂毅 2陈辉 1李根 1贺义平 1胡常宇 1卿朝进2

作者信息

  • 1. 新疆送变电有限公司,新疆 乌鲁木齐 830000
  • 2. 西华大学电气与电子信息学院,四川 成都 610039
  • 折叠

摘要

Abstract

In the task of insulator water washing effect detection using UAVs,the influence of variable lighting and weather con-ditions significantly increases background noise complexity.Meanwhile,the insulators occupy a small proportion in UAV-captured images,and their target features are not prominent.These factors result in lower detection accuracy of models in such scenarios,making it difficult to meet practical application requirements.To address this challenge,an improved YOLOv8s-based method for insulator water-washing detection is proposed.Firstly,the Mean Shift algorithm is used for adaptive segmentation of the insulator image feature maps,separating complex backgrounds from target regions to reduce background noise interference.Secondly,a convolutional attention module is introduced to dynamically adjust the weights of channel and spatial features,en-hancing the key features of insulators.Finally,based on the optimized feature maps after segmentation,an improved YOLOv8s is employed for water washing effect detection.To verify the effectiveness of the proposed method,images of water-washed insula-tors are collected by the Zhifei W330 washing device and the DJI FlyCart 30 UAV platform for experimental validation.The ex-perimental results show that the proposed method achieves an average precision of 96.4%,outperforming classic detection mod-els such as Fast R-CNN,SSD,Deformable-DETR,YOLOv5s,YOLOv8s,and YOLOv11s.Compared with traditional detection models,the proposed method improves the accuracy of water washing effect detection by approximately 12.3 percentage points.

关键词

绝缘子/无人机/水冲洗/目标检测/YOLO

Key words

insulator/UAV/water flushing/object detection/YOLO

分类

信息技术与安全科学

引用本文复制引用

张燕春,赵桂毅,陈辉,李根,贺义平,胡常宇,卿朝进..基于改进YOLOv8s的绝缘子水冲洗检测方法[J].计算机与现代化,2026,(3):80-87,108,9.

基金项目

国家自然科学基金资助项目(62301447) (62301447)

四川省科技计划项目(2023YFG0316) (2023YFG0316)

四川省科技计划"揭榜挂帅"项目(23GSC00004) (23GSC00004)

空地一体新航行系统技术全国重点实验室开放课题基金资助项目(2024A05) (2024A05)

计算机与现代化

1006-2475

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