一种基于potdr光纤入侵识别算法

POTDR (polarization optical time domain reflectometer) based optical fiber intrusion recognition algorithm

Abstract

本发明属于光纤传感技术领域,公开了一种基于POTDR光纤入侵识别算法,包括:从数据采集端读取光纤振动传感器采集到的2N个周期的原始数据并进行去噪;将去噪后的数组X分两组,并求取差值ΔX;将差值数组ΔX分成多个等长度窗口数组,组成数组Y;计算数组Y中的窗口数组的四阶中心距并与设定阈值D比较,标定数组Y中的超阈值数据Yaj,并将下标aj录入坐标数组A;根据数组A中的最小值amin定位报警点,若无超阈值数组,重复上述步骤进行下轮识别;其中,原始数据的排列方式与所述光纤振动传感器采样点排列方式一致,窗口数组的下标即为应采样点的坐标;采样点的坐标表征采样点所在位置在光纤中的光程。本发明通过窗口数组提升入侵识别算法的可靠性和定位精度。
The invention belongs to the technical field of optical fiber sensing and discloses a POTDR (polarization optical time domain reflectometer) based optical fiber intrusion recognition algorithm. The algorithm includes reading initial data of 2N cycles which are acquired by an optical fiber vibration sensor at an acquisition terminal and then denoising; dividing an array X acquired after denoising and solving the difference value deltaX; dividing the difference value deltaX into multiple equal-length window arrays to form an array Y; calculating forth-order central distance of the window arrays of the array Y, comparing the forth-order central distance with the set threshold D, calibrating the above-threshold data Yaj of the array Y, and inputting the subscript aj to a coordinate array A; positioning an alarm point according to the minimum value amin of the array A, and repeating the step to perform the next recognition if no above-threshold array exists. Specifically, the arrangement mode of the initial data is consistent with the arrangement mode of sampling points of the optical fiber sensor, the subscripts of the window arrays are coordinates of the corresponding sampling points; the coordinates of the sampling points represent optical length of the sampling points in the optical fiber. With the window arrays, reliability and positioning accuracy of the intrusion recognition algorithm are improved.

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