Construction of Early Warning Model of Geological Disasters Based on Data Mining

Abstract

In view of the problem that traditional geological disaster monitoring methods cannot adapt to the development of big data, an early warning model of geological disasters based on data mining was proposed. Firstly, the function of the early warning system was determined, and the system included login, data mining and cleaning, early warning and other functions. Secondly, the early warning evaluation system of geological disasters was constructed from the three aspects of susceptibility, hazard and risk, and then the risk was early warned and evaluated by analytic hierarchy process and fuzzy evaluation method. The experimental results showed that in the actual prediction, the early warning results obtained by the early warning model of geological disasters based on data mining are consistent with the actual situation. Moreover, compared with the historical data, the prediction accuracy of the medium above disaster data in the early warning model reaches 87.433%. Therefore, the early warning model of geological disasters based on data mining can accurately predict geological disasters.