Ensemble Kalman Filter Assimilation Of Mine Slope Monitoring Data

Considering the spatial and temporal distribution of the data,the observation field error,and the background field error,a numerical model is selected and combined with the new observation data method during the operation of the numerical model.The data assimilation method improves the prediction ability of the numerical model.The application of ensemble Kalman filtering method to carry out data assimilation research combining monitoring data and prediction model has certain application reference value for slope deformation prediction.The research status of data assimilation algorithm,ensemble Kalman filter algorithm and slope deformation prediction are analyzed systematically.The standard ensemble Kalman filter algorithm process and square root analysis scheme are sorted out,and the implementation process of assimilation algorithm is analyzed.The assimilation program is divided into data preprocessing,parameter setting,initial set,ensemble Kalman filter implementation,and output assimilation results.The program sets parameters,step length,simulation period,and model error as model input parameters,defines a multi-dimensional array structure of variables,clarifies the main input-output relationship in the program implementation,and encapsulates the generation process of the observation field and background field into sub-functions.Observation variables and state variables are used as input parameters of the sub-functions.Nested loops are used to calculate the error covariance matrix and implement the assimilation iterative process.Taking the monitoring area of a mine slope as the research object,the assimilation calculation framework is designed,the observation data is multiperiod monitoring data of a monitoring point,the prediction mode is the deformation kinematic equation,the monitoring data is used to solve the state variables,and the assimilation calculation is realized by using the ensemble Kalman filter.Predict the subsequent three-dimensional coordinate cumulative displacement value,and compare and analyze the assimilation value and observation value.