电力信息系统网络数据的实时流量监控分析

针对当前电力信息系统流量数据监控准确性差、供电不稳定性,易发生流量拥塞等难题,提出一种新型的电力信息系统网络数据流量监控方法,首先采用非线性特征分解方法进行网络流量数据重组,然后采用自适应频谱检测方法实现电力信息系统网络流量数据的谱分析,提取流量数据的谱特征量,最后利用匹配滤波检测器对异常流量进行盲分离处理,实现流量有效监控。仿真结果表明,文中方法使得电力信息系统网络数据流量监控具有实时性和准确性,提高了网络供电的稳定性。

Real-time traffic monitoring and analysis of network data in power information system

According to the information system of electric power network is prone to traffic congestion problems, the need for traffic monitoring, improve the stability of power supply, this paper proposes a spectrum feature extraction and abnormal traffic filtering monitoring information system of electric power network data flow monitoring method based on the nonlinear characteristics of the network traffic data reorganization method, combined with adaptive spectrum detection method power spectrum analysis of information system of network traffic data to extract the spectral characteristics the amount of data, the blind separation of abnormal flow matched filter detector, realize the effective flow monitoring. The simulation results show that using the method of power information system network traffic monitoring data with real-time and accuracy, improve the stability of the power supply network.