Study On Monitoring Data Procession And Settlement Analysis Technology Of Yuecheng Reservoir Dam

The influence of temperature,the load,geological structure and other factors will cause the dam deformation,that the shape and location of the dam changes relatively.It is a process from quantitative change to qualitative change.Some of the uneven deformation which beyond the certain range threaten the entire structure of the dam.Accidents may occur at any time,affecting the normal production and life of downstream people,so dam safety monitoring has also been more and more attention.It is very meaningful to arrange the settlement observation data of the dam,study the settlement analysis technology and predict the operation law of the dam.This paper takes the monitoring data of Yuecheng Reservoir Dam as the research object,Using wavelet analysis,Kalman filtering and other signal analysis methods to explore the monitoring data purification technology.Based on the grey optimization model and time series model,the settlement prediction technology is systematically studied.the main research contents and results are as follows:(1)Based on simulation and measured data,Comparing and analyzing the results of wavelet filtering and Kalman filtering,three methods were used to evaluate the effect of noise reduction,such as root mean Square.The experimental results show that the improved soft thresholding wavelet and Kalman filter denoising model can get better noise reduction effect.when the data of time series is short,Kalman filtering noise reduction model is better.(2)In this paper,we introduce the gray theory and auto regressive(AR)model(Time series model).Combining with the measured data,the gray system prediction model and the sixth AR model are constructed.The results show that the autoregressive(AR)model can obtain better application effect when the data has abundant monitoring information Simultaneously,It is also superior to the gray system model in predicting step size and model reliability Gray model is more suitable for application under the condition of poor information.(3)Taking Yuecheng reservoir dam settlement observation as the research object,Collected the deformation monitoring data of 29 points which from 1994 to2013.The improved wavelet denoising method is applie to data purification.The graysystem prediction model and the autoregressive(AR)model are constructed to make prediction of the dam deformation and to systematically analyze the stability of the dam.The results show that the deformation of Yuecheng Reservoir is small and far below the allowable range of deformation.And the dam is in benign operation.