Analysis on GPS Monitoring Data of Sutong Bridge’s Pylon Based on Wavelet Denoising
Bao Yuan · Journal of Water Resources and Architectural Engineering · 2013
The GPS technology has been widely applied in the dynamic monitoring for large bridges or other engineerings with its advantages of all-weather,high precision,high frequency and real-time.But the mintoring data would inevitably include the gross error and noise because of all kinds of factors,and the processing and analysis of the data would be effected by the abnormal values and noise.In order to eliminate or weaken the influence of the gross error and noise on analysis results,relying on the GPS monitoring data of Sutong Bridge’s pylon,the wavelet analysis and 3σ criterion are introduced to detect the gross error,and the detected results are analyzed and compared.In view of the advantages and disadvantages of both methods,the wavelet transform denoising analysis method with 3σ criterion is applied in gross error detection and trend extraction,then its validity is verified by measured data.At last,the dynamic monitoring data of the pylon is analyzed in time domain,and some valuable conclusions are acquired.