Method for fusion and prediction of multi-field monitoring data of landslides based on big data thinking

The invention discloses a method for fusion and prediction of multi-field monitoring data of landslides based on big data thinking. According to the method, various obtained monitoring data is the unique basis, and a landslide slip prediction function implied in various monitoring data is determined through integration variance calculation, correlation analysis, cluster analysis, regression analysis and BP neural network analysis; multivariate statistical quantitative analysis and qualitative trend analysis of a BP neural network are combined and mutually complementary and verified, data categories participating the prediction function and a preliminary prediction function are determined through multivariate statistical analysis, and the reasonability of the prediction functions is verified through trend simulation of the BP neural network, so as to adjust participant data categories, make the data categories unified ideally and finish slip prediction of each landslide. The technology can be used for real-tim