Abstract
In order to ensure the visual inspection effect of transmission line and improve the accuracy and effectiveness of transmission line visual inspection, a transmission line visual inspection method based on neural network online learning is proposed. The transmission line structure features are collected by neural network, and the online learning transmission line fault state recognition algorithm is combined to realize the online learning transmission line visual detection. The experimental results show that the transmission line visual detection method based on neural network online learning has high accuracy and effectiveness in the practical application process, and its overall operation effect is relatively more stable, which fully meets the research requirements.
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State Grid Corporation: Coordinated control strategy and application of power grid investment and project schedule based on digital twin technology (152142–9003001-0505).
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, Z., Li, Z., Tang, W. (2022). Transmission Line Visual Inspection Method Based on Neural Network Online Learning. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_39
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DOI: https://doi.org/10.1007/978-3-031-21161-4_39
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