Research on Cable Defect Recognition Technology Based on Image Contour Detection

被引：2
|
作者：
Xie, Jia [1 ]
Sun, Tao [2 ]
Zhang, JiaQing [2 ]
Ye, LiangPeng [1 ]
Fan, MingHao [2 ]
Zhu, MingZhe [3 ]
机构：
[1] State Grid Anhui Elect Power Co LTD, Hefei, Anhui, Peoples R China
[2] State Grid Anhui Elect Power Res Inst, Hefei, Anhui, Peoples R China
[3] Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei, Peoples R China
来源：
2021 2ND INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2021) | 2021年
关键词：
cable defect detection; robot inspection system; wavelet transform; image segmentation; contour detection;
D O I：
10.1109/ICBASE53849.2021.00078
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to meet the task requirements of cable trench inspection in the process of power system operation and maintenance, a cable defect identification system that can be used in a complex environment is designed. A cable insulation layer damage detection algorithm and a cable temperature anomaly detection algorithm based on wavelet transform image segmentation and image contour detection are proposed. The robot system is tested as a whole in a simulated cable trench experiment environment. Verify the effectiveness of the algorithm. At the same time, the test results show that the designed cable defect detection system can identify cable skin defects and overheating, which can meet the actual requirements of power system cable inspection.
引用
收藏
页码：387 / 391
页数：5
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