Research on label recognition technology for operation and maintenance images based on deep learning

Heyi Zhang; Chunyan Zhu; Xuguang Du; Xiangrui Kong; Yonggang Fan

doi:10.1117/12.3011840

7 December 2023 Research on label recognition technology for operation and maintenance images based on deep learning

Heyi Zhang, Chunyan Zhu, Xuguang Du, Xiangrui Kong, Yonggang Fan

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412U (2023) https://doi.org/10.1117/12.3011840
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In the context of big data of power operation and maintenance, the labeling of operation and maintenance images reduces the difficulty of daily work of operation and maintenance dispatching staff and is widely used in various business platforms of the power grid. This paper studies an operation and maintenance image tag recognition technology based on deep learning. Combined with Convolutional neural network, it completes the screening and analysis of effective tags, helps the operation and maintenance control staff understand the analysis results of big data, can more efficiently complete the operation and maintenance data processing, and improve the work efficiency of the operation and maintenance staff and the stability of power grid operation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Heyi Zhang, Chunyan Zhu, Xuguang Du, Xiangrui Kong, and Yonggang Fan "Research on label recognition technology for operation and maintenance images based on deep learning", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412U (7 December 2023); https://doi.org/10.1117/12.3011840

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