PhaseOTDR振动数据的梯次精简研究

t present, distributed optical fiber sensing technology has been widely used in the fields of perimeter security warning, public buildings, bridges and tunnels and other civil structure health monitoring, underground facilities safety fields. However, the distributed optical fiber sensing system collects a huge amount of data in the process of continuous monitoring in a wide range. And the compression and storage of distributed optical fiber sensing data has become the focus of scholars at home and abroad. However, in the research of phase-OTDR vibration data compression, there are some problems. Such as only one-dimensional vibration signal compression and sparse representation in time dimension, the two-dimensional space-time structure of the distributed optical fiber vibration signal is not considered. And the two-dimensional wavelet transform lacks of anisotropy. Therefore, this paper analyzes the phase-OTDR vibration data of two-dimensional from time and space dimension. Firstly, the Ostu signal-to-noise separation method of vibration data based on simulated annealing optimization is used to separate the signal and noise of vibration data. Then, on the basis of signal-to-noise separation, a two-dimensional spatiotemporal data compression method based on shearlet sparsity representation and guided filtering is used to compress the vibration data in time and space dimension. So as to complete the research on gradient reduction of phase-OTDR vibration data.