Research And Application Of Kalman Filter Model Based On Wavelet Analysis

With the rapid development of urban economy and the rapid increase of population density,more and more cities have begun to build underground rail transit in order to facilitate people’s transportation.The complexity of urban underground space structure makes tunnel safety monitoring an indispensable part of subway construction and operation.There are a lot of subway tunnel deformation factors,complex geological condition,surrounding buildings load,shield construction disturbance and so on,only to master the rule of the deformation of tunnel,can more accurately predict the deformation trend,find the potential risks,and take effective measures in time,so the subway tunnel deformation monitoring has very important significance.The specific research contents and conclusions of this paper are as follows:(1)The research background and significance of this paper are expounded through specific data,and the research status of deformation monitoring methods and data processing prediction models of subway tunnels at home and abroad are introduced.(2)This paper introduces the common methods of tunnel deformation monitoring and the basic theory of monitoring data processing model,and expounds and analyzes the technical scheme of deformation monitoring in a section of Fuzhou Urban Rail Transit Line 6.Six factors affecting subway tunnel deformation are summarized.(3)The basic theory and method of wavelet analysis are introduced,and the principle of wavelet threshold denoising,the selection of threshold function and the determination of threshold are described.Several common wavelet basis functions and the quality evaluation criteria of wavelet denoising are summarized.The gross error detection method is used to preprocess the monitoring data.Through the comparison of the wavelet analysis results,the advantages and disadvantages of the wavelet denoising effect under different model parameters are obtained.Finally,the most suitable combination of wavelet denoising parameters for this project is obtained.(4)The basic principle of Kalman filter model and its implementation in MATLAB software are introduced,and the Kalman filter model based on wavelet analysis is put forward.The model is used for data analysis and prediction,and combined with Fuzhou subway deformation monitoring project to compare and analyze the model,it is proved that its accuracy is obviously higher than that of a single model.