基于小波去噪的苏通大桥索塔GPS监测数据分析

Analysis on GPS Monitoring Data of Sutong Bridge’s Pylon Based on Wavelet Denoising

GPS技术以其全天候、高精度、高频性以及实时性等优点被广泛应用于大型桥梁结构或是工程的动态监测中。然而由于受各种因素的影响监测数据中不可避免地会含有粗差与噪声,这些粗差与噪声的存在势必影响对监测数据的处理与分析。为了消除或削弱粗差与噪声对分析结果的影响,依托苏通大桥索塔GPS监测数据,分析比较了小波分析与莱茵达准则法两种方法探测粗差的效果,鉴于二者的优缺点,提出小波变换、去噪与莱茵达准则相结合的方法,探测粗差的同时提取趋势项,并采用实测数据验证分析了该方法的有效性。最后在时间域里分析了索塔动态监测数据,得到一些具有参考价值的结论。

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 ef- fected 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 3 a 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 3 cr 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.