基于物联网的智能变电站设备状态监测与故障诊断研究

Research on Status Monitoring and Fault Diagnosis of Intelligent Substation Equipment Based on Internet of Things

文章探讨了基于物联网的智能变电站设备状态监测与故障诊断系统,构建了由感知层、网络层以及平台层组成的物联网架构。感知层通过部署在变电站设备上的传感器网络,实时采集设备的温度、振动、电流以及电压等关键运行参数;网络通信层利用无线通信技术,实现感知层数据的高效、安全传输;平台层则运用深度学习算法,对数据进行分析,以实现对设备状态监测和故障诊断。研究结果表明,该系统能够及时发现潜在故障,为电力系统的安全稳定运行提供有力保障。

This study explores an intelligent substation equipment status monitoring and fault diagnosis system based on the Internet of Things.The system constructs an Internet of Things architecture consisting of a perception layer,a network layer,and a platform layer.The perception layer collects key operating parameters such as temperature,vibration,current,and voltage in real-time through a sensor network deployed on substation equipment;The network communication layer utilizes wireless communication technology to achieve efficient and secure transmission of perception layer data;The platform layer utilizes deep learning algorithms to analyze data for device status monitoring and fault diagnosis.The research results indicate that the system can timely detect potential faults and provide strong guarantees for the safe and stable operation of the power system.