电力信息通信网异常数据流动态监测方法

Dynamic Monitoring Method of Abnormal Data Flow in Power Information Communication Network

在不同电网信息通信网协作决策系统的影响下,异常数据损失过多,形成过多的脏数据,影响监测过程,对此,研究一种电力信息通信网异常数据流动态监测方法。整合多种序列模式数据为一个集合,挖掘通信异常数据,根据异常数据流动特征,设定一个已知数值的压缩率,控制异常数据的损失,得到异常数据流动实际的轨迹分布;设定轨迹异常数据节点簇头,设计一个动态监测结构,最终完成动态监测方法的建立。实验结果表明所设计的动态监测方法得到的脏数据最少。

Under the influence of cooperative decision-making system of different power grid information communication networks,abnormal data loss is too much,and forms too much dirty data,which affects the monitoring process.According to the flow characteristics of abnormal data,a compression ratio of known value is set to control the loss of abnormal data,and the actual trajectory distribution of abnormal data flow is obtained by integrating multiple sequential pattern data into a set,and a dynamic monitoring structure is designed to finally complete the establishment of dynamic monitoring method.The experimental results show that the dynamic monitoring method designed in this paper can get the least dirty data.