Research on Error Processing Method of Deformation Monitoring Data Based on Wavelet Transform
The online monitoring of high slopes based on the Beidou satellite navigation system has greatly improved the monitoring effi-ciency. However,due to the occlusion of satellite signals and the interference of other factors,high-frequency noise,gross errors and periodic errors are likely to exist in the original monitoring data,which reduces the monitoring data quality. In this paper,wavelet transform is used to decompose the original observation data,and the low-frequency layer is used to restore the monitoring data,and the influence of gross errors is eliminated;then the data after eliminating gross errors is subjected to secondary wavelet transform,and different filtering algorithms are used to transform each layer. The coefficients are filtered separately,and the filtered data and the o-riginal data are compared and analyzed,and it is verified that the monitoring data curve after two wavelet transform error processing is smoother,the periodic error is significantly reduced,and the original deformation characteristics are retained. The data quality is im-proved,and more intuitive and reliable monitoring data is provided for the analysis of the safety situation of high slopes.
万方数据
维普
