Construction of a Multi-source Heterogeneous Data Fusion Storage Model for Intelligent Substations
In order to improve the efficiency of multi-source heterogeneous data fusion in smart substation,the construction method of multi-source heterogeneous data fusion storage model in smart substation is proposed.Markov Monte Carlo method is used to estimate and complete the missing data,build a data rectification mechanism,rectify and clean the data,and calculate the relevance of the data by combining the probabilistic data association algorithm.According to the correlation degree,the processed multi-source heterogeneous data of the smart substation are fused,and the data are fused by using the joint Kalman filtering algorithm to establish a storage database and store the data,thus forming a multi-source heterogeneous data fusion storage model of the smart substation.The experimental results show that the model has the advantages of short fusion time,high efficiency and good application value.
intelligent substationMulti-source heterogeneous dataFusion storage modeldata set
万方数据
维普
