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13 May 2024 Edge intelligent-based data processing method for high-frequency information acquisition in low-voltage substation area
Jian Ma, Junwen He, Tao Lu, Peng Song, Qian Li, Wen Zhao, Bing Shang
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Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131595M (2024) https://doi.org/10.1117/12.3024267
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
Aiming at the problem of large data Transmission delay and computation delay in data processing of High-frequency information acquisition in low-voltage substations area, the model of edge intelligent high-frequency information acquisition system is constructed, and a joint optimization method of task unloading strategy and transmission strategy based on mobile edge computing is proposed. With the goal of minimizing system delay, the task unloading and transmission strategy is optimized to achieve two-way rapid detection of multiple power lines, effectively improving system performance.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jian Ma, Junwen He, Tao Lu, Peng Song, Qian Li, Wen Zhao, and Bing Shang "Edge intelligent-based data processing method for high-frequency information acquisition in low-voltage substation area", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131595M (13 May 2024); https://doi.org/10.1117/12.3024267
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KEYWORDS
Data processing
Data transmission
Data acquisition
Power grids
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