Based On The Wavelet Multi-scale Kalman Filter Model For Deformation Analysis Of Buildings

With the development of social economy, continuous progress of Science andTechnology, the construction industry has developed rapidly. All kinds of high and largebuildings continue to emerge. In the process of construction and operation, buildings willproduce a certain degree of deformation for various reasons. When deformation exceedscertain limit, it may lead disasters. So it has become more important to do some deformationmonitoring of building and some safety monitoring of building’s deformation state. Thispaper carried out a brief summary about building deformation monitoring contents andmethods, analyzed several major models of building deformation monitoring data analysisand forecast. This paper put forward to use The Wavelet Multiscale Kalman filtering modelanalyzing and predicting deformation of building subsidence data, and the practical problemsis in a application process. This paper studies content and results are summarized as follows:(1) expounds the deformation monitoring, especially the development status and trendsof building deformation monitoring, and analyzed and summarized it. Outlined the basicprinciples and characteristics of building main deformation analysis and forecast models, thispaper puts forward the wavelet Multiscale Kalman filter is used in building deformationmonitoring settlement data analysis and prediction.(2) Introduced the basic principles of wavelet analysis and Kalman filter systematically,and compared and analyzed several commonly used methods about its de nosing principle.(3) Introduced the model’s basic principles and major modeling process in detail, anddiscussed a few questions encountered in the process, such as the selection of waveletfunction, determine the wavelet decomposition scale, choice of thresholds in the threshold denoising process.(4) this paper used SOHU alliance the north tower deformation monitoring data forexample, with the wavelet Multiscale Kalman filter forecast model to analyze, and specificdiscusses the methods solving several problems in which encountered. At last, authoranalyzed the predict effect of wavelet Multiscale Kalman filtering model.