基于边缘计算和RAFT共识算法的新型变电站实时检测系统

Y. Du, Zhaoyun Zhang, Yanxin Li, Hui Li, Guanfeng He, Zhi-Li Zhang, Yang Zhao
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引用次数: 3

摘要

该系统在传统变电站监控系统的基础上进行了多项改进,为构建新型泛在电力物联网提供了新的解决方案。本系统主要针对传统变电站监控系统所忽略的外部人员非法入侵进行监控。整个系统设计为边缘节点-区域主节点-服务器的三层结构,通过边缘计算将计算压力分配到边缘节点上。并通过目标检测和人脸识别技术实现对外部人员的监控,最后利用raft算法保证整个系统的数据可靠性。本文主要讨论了为实现上述功能所提出的假设,描述了系统的结构和交互设计,并简要描述了其硬件和软件接口的设计思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new type of substation real-time detection system based on edge computing and RAFT consensus algorithm
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.
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