Paper
8 June 2023 Panoramic visual inspection of substation based on image recognition technology
Changle Yu, Lin Yang, Wenwen Li, Su Zhang, Jia Wan
Author Affiliations +
Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127073L (2023) https://doi.org/10.1117/12.2681278
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
Image recognition technology is one of the typical application 2 3scenarios of artificial intelligence in the field of power production technology. It is of great significance to carry out the research and application of image recognition technology in the intelligent patrol inspection of substations for promoting the construction of substation intelligent stations. In order to reduce the pressure of operation and maintenance of secondary panels and switch cabinets in the substation, and solve the problems of multiple procedures, long cycle, low efficiency and error-prone in leak detection, a method of intelligent detection of the status of substation panels and cabinets using image recognition technology is proposed. In practical applications, the identification and analysis of the results of the substation inspection robot and video camera can effectively improve the detection efficiency, reduce the operation and maintenance costs of power equipment, and realize paperless operation, which is of great significance to the realization of intelligent inspection of the substation.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changle Yu, Lin Yang, Wenwen Li, Su Zhang, and Jia Wan "Panoramic visual inspection of substation based on image recognition technology", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127073L (8 June 2023); https://doi.org/10.1117/12.2681278
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KEYWORDS
Inspection

Education and training

Image processing

Data modeling

Detection and tracking algorithms

Neural networks

Switches

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