基于物联网技术的远程用电设备状态监测与故障诊断分析

Analysis of Remote Electrical Equipment Status Monitoring and Fault Diagnosis Based on IoT Technology

阐述基于物联网技术,以电力设备远程状态监测为分析对象,探讨远程用电设备状态监测与故障诊断系统的设计与实现,以及数据采集、传输与存储策略。提出基于物联网的实时故障诊断策略以及深度学习与数据分析在故障诊断中的应用,并应用案例说明系统在用电设备故障诊断、电力运维管理中的作用。

This paper expounds the design and implementation of a remote monitoring and fault diagnosis system for power equipment based on Internet of Things technology,with remote status monitoring of power equipment as the research object,as well as data collection,transmission,and storage strategies.It proposes a real-time fault diagnosis strategy based on the Internet of Things and the application of deep learning and data analysis in fault diagnosis,and applies case studies to illustrate the role of the system in fault diagnosis of electrical equipment and power operation and maintenance management.