Interval Number Fuzzy Evaluation And Trend Prediction Of Diversion Channel Slope Based On Monitoring Data

In the field of engineering,slope instability occurs from time to time,and the safety evaluation of its stability has important theoretical significance and practical value.The same is true for the slope of the diversion channel,once a problem occurs,it will cause many adverse effects.In order to ensure the normal operation of the diversion channel,it is very necessary to evaluate the safety status of the slope of the diversion channel.Since the safety monitoring data has important value in reflecting the actual safety status of the slope,how to combine the slope monitoring data of the diversion channel to evaluate the safety of the slope has become an urgent problem to be discussed.Taking the water diversion channel slope as the research object,combined with the slope monitoring and evaluation experience,this paper analyzes the main influencing factors that affect the safety status of the water diversion channel slope and builds the water diversion channel slope evaluation system accordingly.Use a method suitable for the characteristics of each evaluation index in the system to divide the evaluation level.Combine interval number theory and fuzzy evaluation method to construct interval membership function,and calculate interval membership degree of each evaluation index.The evaluation indicators at all levels that reflect the slope status of the diversion channel are weighted by the combination of analytic hierarchy process,entropy weight method and interval number eigenvector method.the interval number sorting method is used to sort the results of the interval membership results of the slope safety state,and the comprehensive evaluation result of the diversion channel slope is obtained,and the safety state of the diversion channel slope is determined.The RBF neural network model is constructed for prediction to obtain the prediction information,and then the prediction information is combined with the constructed interval number fuzzy comprehensive evaluation model to predict the safety state of the diversion channel slope,and reveal the development trend of the safety state of the slope.Taking the slope of a water diversion channel in Xinjiang as an example,the state of the water diversion channel slope is judged and predicted through the constructed interval number fuzzy comprehensive evaluation model and RBF prediction model.The practical application shows that the constructed evaluation model and prediction model are reasonable and feasible,and provide a scientific and effective method for grasping the slope state of the diversion channel and ensuring the smooth operation of the diversion channel.