Research on Cable Defect Recognition Technology Based on Image Contour Detection

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.