Application Of Combined Wavelet Transform And Time Series Analysis Combined Model In Metro Deformation Prediction

With the rapid growth of China's economy,the development of subway construction is particularly rapid.However,due to the influence of many factors,there will be deformation problems during the construction and operation of the subway.It is very important to conduct subway deformation monitoring and prediction research to ensure the safety of subway construction and operation.In this paper,the deformation data processing model and analysis theory of subway lines are studied.The main contents are as follows:1.Based on the principle of wavelet analysis and its application in deformation monitoring of subways,a new model of threshold function is proposed for the shortcomings and shortcomings of soft and hard thresholds,and compared with the effect of soft and hard threshold denoising.It is found that the improved threshold function has a better denoising effect.2.Based on the time series analysis theory and modeling steps,establish a smooth sequence model by using sample autocorrelation coefficient and partial correlation coefficient model identification,model inspection,model optimization,etc.,for the subway line deformation prediction.3.Combining the advantages of wavelet analysis and time series analysis,an improved wavelet time series combination model was established to process the settlement data of the subway.4.The wavelet denoising and time sequence analysis settlement data processing program was written in Matlab,which realized automatic calculation and improved the efficiency.5.Through practical engineering examples,the improved wavelet time series combination model is used to process the subsidence of the metro,and compared with the traditional wavelet time series model and the time series model respectively.The former is better than the latter two,and the improvement is verified.The wavelet time series combination model is suitable for the prediction of subway subsidence.