Edge computing for the intelligent perception in energy interconnection

Dongge Zhu; Rui Ma; Jia Liu; Xiaolong Li; Dunnan Liu; Zhiyuan Cai

doi:10.1117/12.2643113

28 July 2022 Edge computing for the intelligent perception in energy interconnection

Dongge Zhu, Rui Ma, Jia Liu, Xiaolong Li, Dunnan Liu, Zhiyuan Cai

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 1230314 (2022) https://doi.org/10.1117/12.2643113
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

Since the construction of energy internet has been continuously moving forward, various sensors that are involved in the energy system tend to increase dramatically. Massive data obtained from those sensors impose huge pressure on the transmission system and heavy computation load on the centre station, while traditional data processing approaches have suffered from undesirable data quality, data losses and format inconsistency. The introduction of edge computing is to redefine the framework of intelligent perception system by achieving data processing locally, and hence optimize the system through cloud-edge collaboration mechanism. In this paper, the optimized transmission approach for multiparameter intelligent perception has been given, after which the design methodology for its edge computing algorithm has been proposed, including data unification, data identification and distributed swarm intelligence.

Citation Download Citation

Dongge Zhu, Rui Ma, Jia Liu, Xiaolong Li, Dunnan Liu, and Zhiyuan Cai "Edge computing for the intelligent perception in energy interconnection", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 1230314 (28 July 2022); https://doi.org/10.1117/12.2643113

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