摘要
针对传统电力网络安全监测依赖有线通信方式存在的局限性,文章提出一种基于无线通信技术的电力网络安全监测系统。系统采用多模融合的无线通信方案,结合ZigBee、远距离无线电(Long Range Radio,LoRa)、Wi-Fi以及4G等技术,实现电力网络数据的远程传输。同时,系统利用高性能计算集群和深度学习算法,构建数据处理与分析模块,实现对电力网络数据的实时分析和异常监测。
In response to the limitations of traditional power network security monitoring relying on wired communication methods,this article proposes a research scheme for a power network security monitoring system based on wireless communication technology.The system adopts a multi-mode fusion wireless communication scheme,combining ZigBee,Long Range Radio(LoRa),Wi-Fi,and 4G technologies to achieve remote and reliable transmission of power network data.At the same time,the system utilizes high-performance computing clusters and deep learning algorithms to construct data processing and analysis modules,achieving real-time analysis and anomaly monitoring of power network data.
作者
苏冬冬
李犇
孙文文
李琼
孙才华
SU Dongdong;LI Ben;SUN Wenwen;LI Qiong;SUN Caihua(State Grid Bazhou Electric Power Supply Company,Korla 841000,China)
出处
《通信电源技术》
2024年第17期165-167,共3页
Telecom Power Technology
关键词
电力网络
安全监测
无线通信
power network
security monitoring
wireless communication