Deformation Monitoring Of High-rise Building Based On GNSS And Accelerometer

With the rapid economic development of various countries,in the center of some big cities or mega cities,land resources are increasingly scarce.People have to increase the height of buildings to solve this problem.However,due to the influence of some external factors during the operation of high-rise buildings,it is likely to produce deformation beyond the threshold or unhealthy vibration behavior,so it is necessary to monitor the deformation of high-rise buildings.In this context,this paper studies the deformation monitoring method of high-rise building based on GNSS and accelerometer,and uses two technologies to analyze the target building,the main contents include:（1）Aiming at the noise in the acquisition process of acceleration signal,combining the advantages of the integrated empirical mode decomposition（EEMD）and recursive least square（RLS）algorithm,we propose a joint EEMD-RLS denoising algorithm to eliminate the high-frequency noise in the noisy signal.We reconstruct the medium and low frequency signal to obtain the processed acceleration signal,and design the simulation experiment to compare and analyze three algorithms in detail from the N_RMS value,S_RMS value and R value.The experimental results show that the proposed EEMD-RLS joint denoising algorithm is an effective way to eliminate medium and high frequency noise without distortion,and the noise reduction effect of the EEMD-RLS joint denoising algorithm is superior to the single EEMD and RLS algorithm.（2）Based on the measured acceleration data of the target building,we analyzed theoretically and verified by the design experiment the factors that may affect the vibration of the high-rise building.The wavelet analysis and fir band-pass filter are designed to process the data of wind speed,wind direction and acceleration.We take the maximum vibration obtained as the input source of the designed simulation model,and verified the feasibility of simulation scheme by comparing the measured data and simulation data.It is predicted that the maximum vibration amplitude of the building with a target height of 70m will be 0.1mm when the ground vibration cause by subway and 1-level wind are both maximum.（3）A comprehensive test system is designed,which integrates the above data processing methods and data acquisition methods.Taking the fixed point on the top floor of Yifu Building Hall of Southeast University as the target to be measured,the wind speed and direction sensor,GNSS receiver,accelerometer and other sensors are used as the measurement means,and the measured data are analyzed in detail.And identifing the building modal parameters,the effectiveness of the acceleration response to identify the natural frequency and other dynamic characteristics of large-scale structure is proved.Using the EEMD-RLS joint denoising algorithm proposed to filter the acceleration measured signals of two monitoring points,the frequency domain integration amplitude of the processed acceleration signal is significantly reduced,which further verifies the validity of the denoising algorithm and the superiority of the single EEMD algorithm and RLS algorithm.