文章针对电力通信机房状态监控的需求,设计并实现了一套基于物联网技术的监控系统.该系统采用射频识别(Radio Frequency Identification,RFID)和窄带物联网(Narrow Band Internet of Things,NB-IoT)等技术,实现了对机房设备的精准定位和数据采集;利用MongoDB和Spark等大数据处理平台,实现了海量监控数据的存储、分析与挖掘;结合支持向量机(Support Vector Machine,SVM)和长短期记忆(Long Short-Term Memory,LSTM)网络等智能算法,实现了设备健康状态评估和故障预测功能.通过搭建系统仿真模型,开展全面的性能评估实验,验证了系统的可行性.
Design of Power Communication Room State Monitoring System Based on Internet of Things Technology
This paper designs and implements a monitoring system based on Internet of Things technology to meet the requirements of state monitoring in power communication room.The system adopts technologies such as Radio Frequency Identification(RFID)and Narrow Band Internet of Things(NB-IoT)to realize accurate positioning and data acquisition of the equipment in the computer room.The storage,analysis and mining of massive monitoring data are realized by using big data processing platforms such as MongoDB and Spark.Combined with intelligent algorithms such as Support Vector Machine(SVM)and Long Short-Term Memory(LSTM),the functions of equipment health assessment and fault prediction are realized.The feasibility of the system is verified by building a system simulation model and carrying out a comprehensive performance evaluation experiment.
electric power communication roomstate monitoringInternet of Things
NETL
NSTL
万方数据
