Distributed optical fiber sensing big data real-time statistical compression method

A technology of distributed optical fiber and compression method, which is applied in the direction of transmission system, signal transmission system, non-electrical signal transmission system, etc., which can solve the problems that it is difficult to meet the real-time compression of massive data, and achieve the improvement of data compression ratio, compression ratio and effectiveness The effect of improving and improving compression efficiency

Active Publication Date: 2018-11-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that it is difficult to compress the massive data in real time when collecting the massive data generated by the continuous time-space uninterrupted monitoring process in the distributed optical fiber sound / vibration sensing. The present invention provides a distributed optical fiber transmission Sense big data real-time statistical compression method

Method used

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  • Distributed optical fiber sensing big data real-time statistical compression method
  • Distributed optical fiber sensing big data real-time statistical compression method
  • Distributed optical fiber sensing big data real-time statistical compression method

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Effect test

Embodiment 1

[0067] A real-time statistical compression method for distributed optical fiber sensing big data. The processing object is massive distributed optical fiber sound / vibration sensing signals generated by long-term continuous space-time monitoring. Generally, it is based on phase-sensitive or polarization-sensitive optical time domain reflection technology. Distributed optical fiber sound / vibration sensing system usually has many spatial points, the time sampling rate of each spatial point is relatively high, and the amount of collected data is relatively large. The data acquisition hardware of the distributed optical fiber sound / vibration sensing system based on phase-sensitive optical time domain reflectometry technology consists of three parts: detection optical cable, optical signal demodulation equipment and signal processing host, such as figure 2 shown. Its hardware acquisition parameters are as follows: spatial resolution 0.5Hz, distance between adjacent sampling points ...

Embodiment 2

[0142] On the basis of the first embodiment, the compression performance of the lifting wavelet transform (LWT) compression method based on the adaptive OTSU threshold can be evaluated directly through four evaluation indexes: compression ratio, root mean square error, fitting degree and compression time.

[0143] Among them, the degree of fit R -s is calculated as follows:

[0144]

[0145] where X represents the original signal X abn , X rec Indicates the reconstruction signal re_X abn , n represents the original signal X abn signal length.

[0146] Under Windows 7, 64-bit, i3-4160 CPU, MATLAB R2012b software environment, the underlying computing efficiency of Lifting Wavelet Transform (LWT) and Discrete Wavelet Transform (DWT) was compared.

[0147] For a distributed optical fiber sound / vibration sensing system with a monitoring distance of 30 kilometers, a spatial resolution of 2 meters, and a time sampling rate of 2 Hz, the 24-hour continuous spatiotemporal monito...

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Abstract

The invention discloses a distributed optical fiber sensing big data real-time statistical compression method, and relates to the field of sensing signal compression technology. The method comprises the following steps: 1, taking one-dimensional time response signals accumulatively acquired for a long time by each space point in a whole monitoring range as measurement signals, and performing quantile statistics for the measurement signals of each space point respectively; 2, determining an abnormal signal decision standard of each space point according to a quantile statistics result; and 3, taking a one-dimensional time response signal accumulated in a certain space point for a period of time as a signal processing unit, and making an abnormal signal judgment on the signal processing unitaccording the abnormal signal decision standard of the space point; if the signal unit is an abnormal signal, performing a data compressing operation on the signal processing unit. Through adoption of the method, the compression efficiency of massive data generated in a continuous space-temporal uninterrupted monitoring process is increased greatly, and the real-time performance requirement of the massive data compression can be met.

Description

technical field [0001] The invention belongs to the technical field of sensing signal compression, and in particular relates to a real-time statistical compression method for distributed optical fiber sensing big data. Background technique [0002] Distributed optical fiber sound / vibration sensing uses optical fiber as the sensing element and transmission medium to sense the spatial distribution and temporal change information of physical quantities such as sound waves and vibrations in the environment along the line. It is an important technical means to realize dynamic monitoring of large-scale environments , play an important role in the field of infrastructure security monitoring. In the monitoring of long-distance and high spatial resolution requirements, distributed optical fiber sound / vibration sensing has incomparable advantages over electronic sensor devices. It has broad application prospects. [0003] The distributed optical fiber sound / vibration sensing system ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06G08C23/06
CPCG08C23/06H04L69/04
Inventor 吴慧娟郑义唐波邱浩宇肖垚王梦娇刘香荣吕立东饶云江
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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