Application of artificial intelligence image recognition technology in power system

Xiaoyue Du; Guangheng Gu; Fan Yang

doi:10.1117/12.2647192

7 September 2022 Application of artificial intelligence image recognition technology in power system

Xiaoyue Du, Guangheng Gu, Fan Yang

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232925 (2022) https://doi.org/10.1117/12.2647192
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Under the vigorous promotion of global energy Internet, China's AC/DC power grid construction has been developed rapidly and both artificial intelligence technology and machine learning technology have been developed by leaps and bounds. Computer-based image pattern recognition technology is an important part of computer application technology. With the rapid development of digital image processing technology and pattern recognition technology, image pattern recognition technology has been more comprehensively applied in various aspects such as industry, agriculture, national defense, scientific research and medicine. In this paper, we introduce the image detection technology and image detection algorithm for substation inspection robots and acquire image data files through image acquisition terminal sensors to realize the categorization of feature amount. So as to realize the annotation of pre-set features based on the training model. An optimized classifier and optimized image features are used to build an efficient and accurate image classification model. Artificial intelligence image recognition technology for power equipment image recognition is important to further improve the automation and intelligence level of substations.

Citation Download Citation

Xiaoyue Du, Guangheng Gu, and Fan Yang "Application of artificial intelligence image recognition technology in power system", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232925 (7 September 2022); https://doi.org/10.1117/12.2647192

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