摘要
提出一种基于智能传感器网络的国网电力自动化系统。该系统采用分层架构,通过在感知层部署多种智能传感器节点,并引入SDN技术构建网络层,同时在应用层集成大数据平台和智能分析引擎,实现了电力系统的实时监测、故障诊断和智能控制。实验结果表明,该系统在数据采集准确率、网络传输时延和故障定位准确率等方面均优于传统方案,为智能电网建设提供了新的思路。
This paper proposes a design scheme for state grid power automation system based on intelligent sensor network.The system adopts a layered architecture,deploying multiple intelligent sensor nodes in the perception layer and introducing SDN technology to build the network layer.At the application layer,it integrates a big data platform and intelligent analysis engine to achieve real-time monitoring,fault diagnosis,and intelligent control of the power system.The experimental results show that the system outperforms traditional solutions in terms of data acquisition accuracy,network transmission delay,and fault location accuracy,providing new ideas for the construction of smart grids.
作者
张玉博
ZHANG Yubo(Huangyan District Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Taizhou,Zhejiang 318020,China)
出处
《自动化应用》
2025年第4期168-170,共3页
Automation Application
