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基于“云管边端”技术的设备风险防范研究
A Research on Equipment Risk Prevention Based on “Cloud Tube Edge End” Technology

DOI: 10.12677/JEE.2021.91003, PP. 24-30

Keywords: 大数据,智能电网,云管边端,边云协同,分布式计算,台区设备,风险评价,风险防范
Big Data
, Smart Grid, Cloud Tube Edge End, Edge Cloud Collaboration, Distributed Computing, Power Distribution Station, Risk Evaluation, Risk Prevention

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Abstract:

在电力台区设备接入用户数逐步增加以及电力设备风险防范越来越重要的背景下,对台区设备进行风险防范的必要性逐渐显现,目前虽然设备的风险防范已有一定的研究及实践,然而在实践过程中,对于电力领域设备数量多、范围广、数据复杂的情况仍没有高效的解决方案。本文提出一种基于“云管边端”技术的台区设备进行风险防范方法,基于本文所述方法,能够显著提高风险防范的效率以及准确性。
In the context of the gradual increase in the number of users connected to power distribution station and the increasing importance of power equipment risk prevention, the necessity of risk prevention for power distribution station has gradually emerged. Although there has been certain research and practice on equipment risk prevention, however, in the process of practice, there is still no efficient solution for the large number of equipment, wide range, and complex data in the power field. This paper proposes a risk prevention method for power distribution station based on the “cloud-network-edge-end” technology. Based on the method described in this article, the efficiency and accuracy of risk prevention can be significantly improved.

References

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