Coal seam water-rich property analysis method

The coal seam water-rich property analysis method comprises the following steps: S1, acquiring data of a coal seam to be detected; S2, extracting related attribute data of the data acquired in the step S1; S3, standardizing the related attribute data of the data acquired in the S2; S4, performing correlation analysis between attributes on the standardized attribute data in S3, and judging whetherPCA dimension reduction processing is suitable for being performed or not; S5, solving a feature value and a feature vector of the attribute suitable for PCA dimension reduction processing in the stepS4; S6, performing principal component extraction according to the eigenvalue and the eigenvector obtained in the S5; and S7, according to the principal component extracted in S6, analyzing the principal component by using a weighted Euclidean distance. By utilizing the Euclidean distance or the weighted Euclidean distance, various abnormities can be more prominent in data processing, and the difference of stratum water-r