In order to achieve the accurate prediction of the safety status of the engineering slope,this paper introduces the random forest algorithm(RF)into the engineering slope safety monitoring field.By analyzing the main influencing factors of the slope safety state,the optimal combination of the input variables and parameters of the model is determined,the slope safety monitoring model is established,a systematic slope safety monitoring model is constructed and the empirical analysis is carried out.The results show that the model has higher fitting and prediction accuracy.The research results are of great significance for real-time understanding of the safety status of hydraulic engineering slopes in real time.
random forest algorithmwater diversion projectslope safety monitoring
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