| With the continuous development of the national economy,China’s urbanization is accelerating,building type,along with increasing the number of security buildings attracted more and more people’s attention.As the building layers,load increases,the impact of the internal stress and surface environment,buildings inevitably will have some degree of distortion,severe cases can affect the safe operation of the building.Security is the concept of corporate life has been rooted in the construction industry.Building Deformation Monitoring and deformation trend forecasting,it has become the construction and operation of the management process a very important job.The wavelet transform is a powerful signal analysis tools,in the frequency domain has the ability to reflect local signal characteristics of non-stationary signals have good analytical skills,wavelet transform capable of settlement monitoring data for noise reduction;based Grey system theory,the first discrete signal is generated once accumulated,so that the data sequence into a sequence generated with a certain regularity,reducing the randomness of the data,which identify potential law,to generate a sequence forecast.Based on the above ideas,put forward wavelet transform-metabolic GM(1,1)model to a combination of civilian buildings subsidence prediction,combined with engineering examples,using wavelet transform method for monitoring data reduction processing to extract the actual deformation values that gray forecasting subsidence model to predict the deformation of the building.Experimental results show that:After the wavelet transform noise,can effectively monitor the subtractive random errors in the sequence,make settlement curve smoother and more realistic settlement of the case;integrated precision noise reduction based on wavelet transform GM(1,1)model and reliability than traditional GM(1,1)model,wavelet noise prediction accuracy combined with metabolic GM(1,1)model is higher.The combination method in building Settlement Analysis and Prediction reflect better advantage. |