摘要
机电设备在工业生产中的广泛应用对状态监测提出了更高的实时性与精准性要求,然而传统监测手段受限于通信链路能力,普遍存在数据采集滞后、信息传输不稳定与远程监测响应不及时等问题。针对上述难题,设计基于物联网通信的机电设备状态监测系统,构建由感知采集、数据传输及远程监测三大功能模块组成的体系化架构,依托物联网通信的广覆盖、低时延及高可靠特性,实现对机电设备运行状态的实时感知与远程可视化监测。该系统的数据采集时效性为1.3s,传输链路丢包率为10.4%,异常响应平均延时为2.1s,均优于传统有线监测方式。
The widespread application of electromechanical equipment in industrial production has put forward higher real-time and precision requirements for state monitoring.However,traditional monitoring methods are limited by communication link capabilities and generally suffer from problems such as delayed data collection,unstable information transmission,and untimely remote monitoring response.To address the above challenges,a state monitoring system for electromechanical equipment based on Internet of Things communication is designed.A systematic architecture is constructed consisting of three functional modules:perception acquisition,data transmission,and remote monitoring.With the wide coverage,low latency,and high reliability characteristics of Internet of Things communication,real-time perception and remote visualization monitoring of the operating status of electromechanical equipment are achieved.The data collection timeliness of this system is 1.3 s,the packet loss rate of the transmission link is 10.4%,and the average delay of abnormal response is 2.1 s,all of which are better than traditional wired monitoring methods.
作者
张锦华
ZHANG Jinhua(Qingyuan Vocational and Technical School,Qingyuan 511800,China)
出处
《通信电源技术》
2025年第14期234-236,共3页
Telecom Power Technology
关键词
物联网通信
机电设备
状态监测
Internet of Things communication
mechanical and electrical equipment
condition monitoring
