Machine visual technology based steel corrosion evaluation and analysis of power transformation lines: A Zhejiang power grid case study

• Published in: Frontiers in energy research 2023-01, Vol.10
• Main Authors: Liu, Sen, Hu, Jiayuan, Qian, Zhouhai, Song, Xiaoning, Fang, Xia
• Format: Article
• Language: English
• Subjects: DeepLabV3; image segmentation technology; standard corrosion spectrum classification software; steel corrosion; transmission and transformation equipment
• ISSN: 2296-598X; 2296-598X
• DOI: 10.3389/fenrg.2022.1014603

It can be seen that the corrosion failure of transmission and transformation equipment has increasingly restricted the safe operation of the Zhejiang power grid bottleneck problem. If effective anticorrosion measures are not taken promptly, transmission and transformation equipment serving in various sophisticated atmospheric environments will suffer serious corrosion damage in a relatively short period, which endangers the safe usage of transmission and transformation equipment and the security of grid operation. In this article, through the establishment of transmission and transformation steel components corrosion fracture mechanics model, a standard corrosion spectrum grading software based on DeepLabV3+ image segmentation technology is developed to determine the quantitative assessment method of corrosion damage and assess the corrosion status with safety degree of transmission and transformation equipment. According to the assessment results, the operation and maintenance units are guided to adopt differentiated corrosion maintenance and replacement strategies, so as to reduce corrosion safety hazards and reduce safety accidents and economic losses caused by corrosion, which is of great significance for the safe operation of power grids.