电测与仪表2023，Vol.60Issue(12)：126-131,6.DOI:10.19753/j.issn1001-1390.2023.12.018
一种无人机在线喷涂绝缘子RTV质量评价方法
A method for evaluating the quality of insulator RTV spraying
摘要
Abstract
An automatic evaluation method based on computer vision and depth learning model was proposed to evaluate the insulator RTV spraying quality.This method first constructs a semantic segmentation model to extract the insulator RTV coating area from the image background.Then,the extracted area is divided into rectangle blocks which will be clas-sified into different defect types through a neural network classification model.Finally,the fuzzy evaluation method is combined to generate a rating score to evaluate the RTV spraying quality according to the area proportion of the defect blocks in the whole image.Experiments show the proposed method is accurate and effective in that the evaluation results are consistent with the operation and inspection standards,which can meet the actual production needs.关键词
绝缘子/RTV喷涂/图像处理/缺陷分类/质量评估Key words
insulator/RTV spraying/image processing/defect classification/quality evolution分类
信息技术与安全科学引用本文复制引用
汪博文,杨昌建,汪峰,杨传凯,寇宗祥,杜建超..一种无人机在线喷涂绝缘子RTV质量评价方法[J].电测与仪表,2023,60(12):126-131,6.基金项目
国网陕西省电力有限公司科技研发项目(5226AK220001) （5226AK220001）
