边云协同智能技术在电力领域的应用

doi:10.11959/j.issn.2096-3750.2021.00204

Abstract

Abstract:

With the continuous development of the Internet of things on electricity (IoTE) and large-scale deployment of intelligent edge devices, an explosively increasing amount of data are being generated at the network edge.The efficient, fast and secure processing and analysis of the massive edge located data brings great challenges for the traditional cloud computing-based intelligence technologies.Instead, edge-cloud collaborative intelligence (ECCI) technologies can significantly outperform the cloud computing-based intelligence in terms of the network bandwidth saving, delay reduction and privacy protection, and therefore have shown a great potential in boosting the development of power grids.To investigate the application of ECCI in power grids, the concept and research progress of ECCI were firstly introduced.The characteristics and advantages of ECCI were summarized and its applicability in the power grids were discussed.Secondly, the key technologies of ECCI applications for power grids were discussed and the solutions based on ECCI technologies for two typical scenes were proposed respectively.Finally, a brief discussion of future work was given.

Key words: smart grid, Internet of things on electricity, artificial intelligence, edge computing, edge-cloud collaborative intelligence

CLC Number:

TM862

Qing HAN, Kunlun GAO, Ting ZHAO, Jiangqi CHEN, Xinyu YANG, Shusen YANG. Application of edge-cloud collaborative intelligence technologies in power grids[J]. Chinese Journal on Internet of Things, 2021, 5(1): 62-71.

Figures/Tables 5

References 46

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电力发展的需求	边云协同智能的优势
海量泛在接入	低带宽成本
数据价值待有效挖掘	小样本AI算法
应用的敏捷响应	高实时性
打破数据“孤岛”和业务“壁垒”	数据隐私安全

方案	带宽/MB	响应时间/s	准确率
边云协同智能算法	63.21	3.73	89.2%
云智能算法	303.83	82.04	97.6%
边智能算法	0	14.81	68.7%

Application of edge-cloud collaborative intelligence technologies in power grids

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