Development of power equipment condition monitoring and early warning system based on Internet of Things
基于物联网的电力设备状态监测预警系统开发

摘要

随着智能电网和物联网技术的迅猛发展，电力设备的智能化监测已成为保障电力系统稳定运行的重要手段。本文提出了一种基于物联网的电力设备状态监测与预警系统，旨在通过对设备实时数据的采集、传输和分析，及时发现设备故障和潜在风险。系统利用传感器网络、数据传输技术和大数据分析方法，实现了对电力设备状态的全面监控和智能预警。通过精确预测设备故障，有效提升了电力系统的可靠性和安全性。实验结果表明，该系统能够显著提高电力设备故障预测精度，并为电力维护提供有力的技术支持。

Abstract

With the rapid advancement of smart grid and IoT technologies, intelligent monitoring of power equipment has become a crucial measure for ensuring stable power system operations. This paper proposes an IoT-based condition monitoring and early-warning system for power equipment, designed to detect equipment failures and potential risks through real-time data collection, transmission, and analysis. By leveraging sensor networks, data transmission technologies, and big data analytics, the system achieves comprehensive monitoring and intelligent alerts for power equipment status. Through precise fault prediction, it significantly enhances the reliability and safety of power systems. Experimental results demonstrate that this system markedly improves fault prediction accuracy while providing robust technical support for power maintenance.