Edge computing model for coupled monitoring of conductor sag and safety distance risk

Jufen Ye; Ting Yang; Jianghua Hu; Junyuan Tan; Yiming Chen; Zhixing Dong

doi:10.1117/12.3049391

18 October 2024 Edge computing model for coupled monitoring of conductor sag and safety distance risk

Jufen Ye, Ting Yang, Jianghua Hu, Junyuan Tan, Yiming Chen, Zhixing Dong

Proceedings Volume 13277, Sixth International Conference on Wireless Communications and Smart Grid (ICWCSG 2024); 132770U (2024) https://doi.org/10.1117/12.3049391
Event: 2024 6th International Conference on Wireless Communications and Smart Grid, 2024, Sipsongpanna, China

Abstract

The safe operation of transmission lines is crucial for the transmission of electrical energy, and arc sag and safety distance have attracted extensive research as important parameters for measuring whether transmission lines are operated safely or not. In this paper, we present an innovative edge computation model for monitoring arc sag and safety distance in transmission lines. The model combines real-time data collection with a localized computational process to ensure timely and accurate detection of risks faced by transmission lines. By utilizing the distributed capabilities of edge computing, the model reduces latency and improves monitoring response time.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jufen Ye, Ting Yang, Jianghua Hu, Junyuan Tan, Yiming Chen, and Zhixing Dong "Edge computing model for coupled monitoring of conductor sag and safety distance risk", Proc. SPIE 13277, Sixth International Conference on Wireless Communications and Smart Grid (ICWCSG 2024), 132770U (18 October 2024); https://doi.org/10.1117/12.3049391

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