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基于Canny算法和图像处理的10 kV电缆中间接头典型施工缺陷识别
Identification of Typical Construction Defects in 10 kV Cable Intermediate Joints Based on Canny Algorithm and Image Processing
- 高压电器 2025年 页码：1-9
- 作者机构：
1.三峡大学电气与新能源学院，湖北 宜昌 443002
2.广东中山供电局，广东 中山 528400
- 作者简介：
陈志（2000—），男，硕士研究生，从事电气工程输电线路方向研究（E-mail：572451367@qq.com）。
方春华（1980—），男，副教授，硕士生导师，从事电力系统在线监测技术、电力设备故障诊断、高电压绝缘与测试技术研究（E-mail：fang107531@163.com）。
- 基金信息：
DOI：
中图分类号：-
纸质出版日期：
- 稿件说明：
移动端阅览
陈志, 方春华, 江全才, 等. 基于Canny算法和图像处理的10 kV电缆中间接头典型施工缺陷识别[J/OL]. 高压电器, 2025,1-9.
CHEN Zhi, FANG Chunhua, JIANG Quancai, et al. Identification of Typical Construction Defects in 10 kV Cable Intermediate Joints Based on Canny Algorithm and Image Processing[J/OL]. High voltage apparatus, 2025, 1-9.
陈志, 方春华, 江全才, 等. 基于Canny算法和图像处理的10 kV电缆中间接头典型施工缺陷识别[J/OL]. 高压电器, 2025,1-9. DOI：
CHEN Zhi, FANG Chunhua, JIANG Quancai, et al. Identification of Typical Construction Defects in 10 kV Cable Intermediate Joints Based on Canny Algorithm and Image Processing[J/OL]. High voltage apparatus, 2025, 1-9. DOI：
摘要
10 kV电缆中间接头施工缺陷易导致绝缘故障，为了快速准确的检测识别电缆中间接头施工缺陷，提出一种Canny算子和图像处理结合的边缘检测方法。Canny算子和图像处理结合的算法能最优定位边缘、不误检，得到准确的中间接头边缘信息。实验结果表明，Canny边缘算法能检测出缺陷图像中较为完整的污渍和划痕，对于主绝缘切割不齐、半导电剥离不齐和毛刺缺陷能准确的检测，缺陷算法准确率均达到90%以上。Canny边缘检测算法提高了缺陷检测的智能化程度，能有效管控施工质量。
Abstract
The construction defects of the intermediate joint of 10 kV cable are easy to lead to insulation failure
in order to quickly and accurately detect and identify the construction defects of cable intermediate joints
an edge detection method combining Canny operator and image processing is proposed. The algorithm combining Canny operator and image processing can locate the edge optimally without false detection
and obtain accurate edge information of intermediate joints. The experimental results show that Canny edge algorithm can detect more complete stains and scratches in the defect image. The main insulation cutting
semi-conductive peeling and burr defects can be accurately detected. The accuracy of the defect algorithm is more than 90%. The Canny edge detection algorithm improves the intelligence of defect detection and can effectively control the construction quality.
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references
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