Application of Kalman Filter Method Based on Model Optimization Method in the Dam Deformation Forecast

The monitoring system of the dam is introduced. To different dams and monitoring points at different locations of dams, because their geographical environment and geological environment are different, their deformation discipline is different, we can preplace some deformation models, and let the computer look for the deformation model whose forecast error is least. In order to improve the fitted accuracy and forecast accuracy of the forecast model ulteriorly, parameters of the deformation model whose forecast error is least are looked as status vectors with dynamic noises, Kalman filter model is erected to forecast the deformation of monitoring points in the dam. The example of monitoring point A₆ in the dam verifies that the fitted accuracy and forecast accuracy of Kalman filter model are good, the method can be used in the deformation forecast of dams.