基于物联网的电力设备实时监控研究

Research on Real-Time Monitoring of Power Equipment Based on Internet of Things

随着电力需求的增长和电网规模的扩大,传统电力设备监控方式已难以满足现代电网的需求。文章提出一种基于物联网的电力设备实时监控系统,构建了包括感知层、网络层以及应用层的多层次架构。通过部署多模态传感器、应用边缘计算和机器学习等技术,实现了对电力设备的全面感知和智能监控。实验结果表明,该系统在数据采集实时性、故障检测准确率等方面均显著优于传统数据采集和监控(Supervisory Control And Data Acquisition,SCADA)系统,为提高电网可靠性和设备管理效率提供了新的解决方案。

With the growth of power demand and the expansion of power grid scale,traditional power equipment monitoring methods have been difficult to meet the needs of modern power grids.This paper proposes a real-time monitoring system for power equipment based on the Internet of Things,and constructs a multi-level architecture including the perception layer,the network layer and the application layer.Through the deployment of multi-modal sensors,the application of edge computing and machine learning,and other technologies,the comprehensive perception and intelligent monitoring of power equipment is achieved.The experimental results show that the system is significantly superior to the traditional Supervisory Control And Data Acquisition(SCADA)system in real-time data acquisition and fault detection accuracy,which provides a new solution for improving the reliability of power grid and the efficiency of equipment management.