Pretreatment Of Groundwater Dynamic Parameters Based On Kalman Filter And JAVA Implementation

With the rapid development of modern technology,such as computer communication,database and sensor,the society is stepping into the information society.With the realization of digital information,information fusion has become the new darling of the research disciplines.In the process of monitoring groundwater resources,it will inevitably be limited to many conditions and factors,and there will have a certain deviation in the result of the measured data more or less.In order to accurately control the state data of groundwater,according to the problem of groundwater state's optimal estimation,this paper studies the processing of groundwater data based on Kalman filter(KF).The main contents are as follows:This paper designs and completes the optimal mathematical estimation model of groundwater information based on Kalman filtering algorithm,and Combined with the actual measurement data,the parameters of the model are given.By means of recursion,the optimal estimation of groundwater information is obtained through the derivation of a series of formulas.In the MATLAB software,the data before and after the test are compared,and the results show that the algorithm can achieve better fusion filtering processing of groundwater data,and the accuracy of the data can be improved.Finally,with the support of the database and the corresponding development language,the visualization of groundwater dynamic data is realized.