摘要
文章针对火电机组设备状态监测难、故障诊断不及时等问题,提出一种基于5G通信的智能状态监测系统设计方案。该系统采用分层架构,由应用层、网络层以及感知层组成。仿真实验结果表明,该系统在数据采集、网络传输、故障诊断等方面展现出优异性能,数据采集准确率在99.7%以上,端到端时延低于11.3 ms,典型故障的诊断准确率达到97.9%以上。研究成果可为火电机组设备的智能化监测和预测性维护提供新的技术路径。
This paper proposes a design scheme of an intelligent condition monitoring system based on 5G communication to address the problems such as the difficulty in monitoring the equipment condition of thermal power units and the untimely fault diagnosis.This system adopts a hierarchical architecture,consisting of the application layer,network layer and perception layer.The simulation experiment results show that the system demonstrates excellent performance in aspects such as data acquisition,network transmission and fault diagnosis.The accuracy rate of data acquisition is above 99.7%,the end-to-end delay is less than 11.3 ms,and the accuracy rate of typical fault diagnosis is above 97.9%.The research results can provide a new technical path for the intelligent monitoring and predictive maintenance of thermal power unit equipment.
作者
杨刚
YANG Gang(State Power Investment Jingdezhen Power Plant,Jingdezhen 333000,China)
出处
《通信电源技术》
2024年第16期1-3,共3页
Telecom Power Technology
关键词
5G通信
火电机组
智能状态监测
5G communication
thermal power unit
intelligent condition monitoring