基于光纤惯性传感的变形测量方法研究

为了对地表变形进行实时有效的监测，及时发现其不规则沉陷的规律和趋势，从而确定整个地表移动区域的下沉情况。本文选取MIMU惯性测量单元，布设光纤光栅传感器，设计分布监测网路对地表变形数据进行测量。构造新的指数型阈值小波算法并结合时间序列分析对采集的数据进行去噪处理，显著提高去噪效果，最后利用卡尔曼滤波进行变形体的变形趋势预测。与仿真实验结果对比分析发现，采用这种方法得到的数据准确有效，该方法可应用到地形变形预测的工程实际中。

Deformation measurement method based on optical inertial sensing

In order to monitor ground deformation effectively in real-time, and find out irregular rules and trends of surface subsidence, thereby determine the sinking situation of the whole surface movement areas. This paper used MIMU and lays fiber grating sensors to build a distributed network for surface deformation data measurement. A new exponential type of wavelet algorithm combined time series analysis was proposed to do the wavelet threshold denoising processing for the data collected. The effect of denoising is obvious .Finally, kalman filtering was used to forecast deformation trend of the deformable body. The results indicate that the data obtained by this method are accurate and effective. This method can be applied to engineering practice of terrain deformation forecast.