KEYWORDS: Deep learning, Data modeling, Power grids, Signal detection, Education and training, Convolutional neural networks, Performance modeling, Process modeling
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.
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