Paper
10 August 2023 Research on the early-warning model of power OPGW cable operating status based on joint judgment
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Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127482V (2023) https://doi.org/10.1117/12.2689841
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China
Abstract
Aiming at the problem that the current power OPGW optical cable early warning model adopts a single technical index, this article proposes an early-warning model of power OPGW cable operating status based on joint judgment. Firstly, a multi-element joint judgment power OPGW optical cable prediction model is constructed based on the Long Short-Term Memory (LSTM) model, and the predicted power OPGW optical cable core strain sequence provides a data basis for the early warning of the operation status of the optical cable. Then, based on the identification and classification results of the Multilayer Perceptron (MLP) model, the early warning level is divided, and the core strain data of the power OPGW optical cable obtained by the prediction module is identified and output the early warning level, so as to realize the early warning of the operation status of the power OPGW optical cable. Finally, model experimental analysis is carried out. The experimental results show that the proposed model can provide early warning for power OPGW optical cable, and further improve the risk management and control strategy of OPGW optical cable, so as to complete the operation and maintenance of power OPGW optical cable more efficiently
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Zou, Fusheng Zheng, Peizhe Xin, Ying Yao, Jun Lu, and Li Shang "Research on the early-warning model of power OPGW cable operating status based on joint judgment", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127482V (10 August 2023); https://doi.org/10.1117/12.2689841
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KEYWORDS
Data modeling

Optical fiber cables

Performance modeling

Education and training

Multi-element lenses

Statistical modeling

Data transmission

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