Transmission Line Inspection Image Intelligent Diagnosis System

• Published in: 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA) pp. 1018 - 1022
• Main Authors: Bangzhu, Zheng, Haitao, Liu, Haiteng, Ma, Yin, Liu, Xingyi, Shen, Hua, Liang, Jie, Wen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 28.06.2024
• Subjects: batch inspection; Fault diagnosis; hierarchical software architecture; Inspection; intelligent fault diagnosis; Power grids; Power system inspection; Power transmission lines; Software algorithms; Software architecture; User interfaces; Visual databases; Visualization
• DOI: 10.1109/ICIPCA61593.2024.10708782

This paper introduces the image diagnosis technology of power inspection based on computer vision. Image import, database access, text output and other functional modules are designed using VisualStudio2010. ADO technology is used to access and change the database. The framework and method of diagnosis result fusion based on multidimensional fusion are proposed. The fault diagnosis criterion of the system is established by using genetic algorithm. Under the premise of ensuring the optimal solution, the key information is retained and the minimum expression of knowledge is obtained, so as to realize the rapid and accurate fault diagnosis. The experimental results show that the method is effective, fast and suitable for large-scale power grid, especially for transmission lines. Low error rate and friendly man-machine interface. It can meet the needs of power line inspection. The automatic inspection of the transmission line image is realized, which standardizes the working process and greatly improves the working efficiency.