Distribution network information storage mode based on big data and double databases

The invention discloses a distribution network information storage mode based on big data and double databases, which comprises the following steps: S1, acquiring original data, and preprocessing the original data; s2, extracting features from the preprocessed data, and establishing a data feature table; s3, establishing a database, dividing data into normal data and distribution network fault information based on a data feature table in the database, storing the normal data in a distributed database, and storing the distribution network fault information in a normal database; the invention provides a distribution network fault trend judgment method based on big data analysis. On the basis of original distribution network fault analysis and judgment, a big data analysis method is introduced, and distribution network fault trend judgment is achieved through the processes of data fusion, analysis, visualization, state discrimination and the like. 本申请公开一种基于大数据和双数据库的配网信息存储方式，包含：S1，获取原始数据，对所述原始数据进行预处理；S2，将预处理过的数据提