基于随机森林算法的尖山水库边坡安全监控研究

Study on Slope Safety Monitoring of Jianshan Reservoir based on Random Forest Algorithm

为实现对工程边坡安全状态的精准预测,将随机森林算法(RF)引入到工程边坡安全监控领域,通过对影响边坡安全状态的主要影响因素进行分析,确定模型的输入变量及参数的最优组合,构建出系统的边坡安全监控模型,并对模型进行了实证分析。结果表明该模型具有更高的拟合和预测精度。研究结果对实时了解水利工程边坡安全状态具有重要意义。

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 ftting 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.