基于大数据的电力通信网络状态感知分析

State perception analysis of electric power communication network based on big data

以大数据为技术背景,阐述了电力通信网络状态感知分析的主要技术。首先分析了电力通信网络的基本构成以及通信特色业务。提出了基于大数据的网络状态感知技术,并提出了基于神经网络的状态感知模型、基于随机森林的状态感知模型和基于星形结构的状态感知模型。依据所提模型说明了电力通信网络在拓扑感知、网络演化趋势和网络安全性能等方面的态势感知流程和功能。

With big data as the technical background, the main technology of power communication network state perception analysis is explained. First, it analyzes the basic structure of the electric power communication network and the communication characteristic business. The network state perception technology based on big data is proposed, and the state perception model based on neural network, the state perception model based on random forest and the state perception model based on star structure are proposed. According to the model in this paper,the situational awareness process and functions of power communication network in terms of topology awareness,network evolution trend, and network security performance are explained.