Data Processing Model of Bridge Deformation Monitoring Data Based on Wavelet Analysis
孝礼 胡 · Geomatics Science and Technology · 2018
变形监测可以分析和评价工程设施的安全状态，是工程测量的重要研究内容。本文将研究小波分析的基本原理，模拟变形监测数据，建立变形监测数据处理模型，并利用MATLAB软件的小波工具箱自带的小波函数，编写相关程序，通过均方根误差、信噪比等指标来指导小波分解，提取粗差，确定最优小波基及最大分解尺度。同时研究小波阈值去噪函数，以确定最佳的阈值去噪函数。最后根据模拟实验建立的最佳模型，处理变形监测数据的实例，并对其处理结果进行分析和精度评定。 Deformation monitoring can analyze and evaluate the safety status of engineering facilities and is an important research content of engineering survey. This article will study the basic principles of wavelet analysis, simulate deformation monitoring data, and establish the data processing models of deformation monitoring. MATLAB software’s wavelet function is used to write the relevant program. The RMSE, SNR and other indicators are used to guide the wavelet decomposition, extract the gross error, and determine the optimal wavelet base and the maximum decomposition scale. At the same time, the wavelet threshold denoising function is studied to determine the best threshold denoising function. Finally, an optimal model is established according to the simulation experiment, and an example of deformation monitoring data is processed, and the processing result is analyzed and the accuracy is evaluated.