Multi-source data centralized fusion method

The invention discloses a multi-source data centralized fusion method. The method comprises the following steps: step 1, connecting a database; 2, judging a data set; step 3, data set cleaning; step 4, feature extraction; step 5, performing weighted distribution; step 6, data set fusion; step 7, evaluating the data set; wherein in the first step, a required multi-source database is connected, a related data set is obtained, and the integrity of the obtained related data set is guaranteed; wherein in the step 2, whether the data set obtained in the step 1 is consistent with the data needing to be fused or not is judged according to the content of the data needing to be fused; according to the method, when different databases are connected, the data are encrypted in an encryption mode, data leakage is avoided, normal operation of centralized fusion of the multi-source data is guaranteed, meanwhile, the obtained data set is cleaned, the content of the data can be simplified, the format of the data set is convert