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A new type of substation real-time detection system based on edge computing and RAFT consensus algorithm

机译:一种基于边缘计算的新型变电站实时检测系统和筏筏共识算法

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This system has made several improvements on the basis of the traditional substation monitoring system, providing a new solution for the construction of the new ubiquitous power Internet of Things. This system focuses on the monitoring of illegal intrusion by external personnel, which is ignored by the traditional substation monitoring system. The entire system is designed as a three-tier structure of edge node-regional master node-server, and the computing pressure is distributed to edge nodes through edge computing. And realize the monitoring of outsiders through target detection and face recognition technology, and finally use the raft algorithm to ensure the data reliability of the entire system. This article mainly discusses the hypotheses proposed for the realization of the above functions, describes the structure and interaction design of the system, and briefly describes its hardware and software interface design ideas.
机译:该系统在传统的变电站监测系统的基础上进行了几种改进,为建造新的无处不在的东西的建设提供了新的解决方案。 该系统侧重于外部人员对非法侵入的监测,这是由传统变电站监测系统忽视的。 整个系统被设计为边缘节点区域主节点服务器的三层结构,并且计算压力通过边缘计算分布到边缘节点。 并通过目标检测和面部识别技术实现对外人的监控,最后使用RAFT算法来确保整个系统的数据可靠性。 本文主要讨论了为实现上述功能而建议的假设,描述了系统的结构和交互设计,并简要介绍其硬件和软件界面设计思路。

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