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Brillouin frequency shift extraction method based on proximity algorithm

A technology of Brillouin frequency shift and extraction method, which is applied to thermometers, measuring devices, instruments and other directions with physical/chemical changes, can solve the problems of inaccurate fitting, curve fitting method errors, etc., to avoid strong errors, The effect of avoiding inaccurate fitting and avoiding fitting failure situations

Active Publication Date: 2020-09-29
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Curve-fitting methods produce strong errors when the probe light sweep fails to cover the Brillouin gain spectrum
In addition, when the frequency sweep step is long and the number of fitting points is too small, it may also lead to inaccurate fitting

Method used

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  • Brillouin frequency shift extraction method based on proximity algorithm
  • Brillouin frequency shift extraction method based on proximity algorithm
  • Brillouin frequency shift extraction method based on proximity algorithm

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] refer to figure 1 with figure 2 , a Brillouin frequency shift extraction method based on the proximity algorithm, including the following steps:

[0028] Step 1, according to the given curve function line type S, and the given value range of Brillouin frequency shift f=[f 1 ,f 2 ,f 3 ,..., f n ], and the given parameter vector value range p=[p 1 ,p 2 ,p 3 ,...,p m ], and a given frequency sweep value range f s =[f s1 ,f s2 ,f s3 ,..., f ss ], to construct the Brillouin gain spectrum feature set F mnxs

[0029]

[0030] For the distributed optical fiber strain sensor, set the sweep starting point to 10500MHz, the sweep end point to 10950MHz, and the sweep step size to 5MHz, so the sweep frequency range is 91 frequency points from 10500MHz, 10505MHz, ..., 10950MHz.

[0031] If the Lorenz curve is used to approximate, the Lorenz curve line type ...

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Abstract

The invention provides a Brillouin frequency shift extraction method based on a proximity algorithm. The method comprises the steps of 1 constructing a Brillouin gain spectrum feature set according toa given curve function line type, a Brillouin frequency shift value range, a parameter vector value range and a sweep frequency value range; 2 constructing a corresponding Brillouin frequency shift label set according to the Brillouin gain spectrum data set; 3 for a given Brillouin gain spectrum, calculating the distance between the given Brillouin gain spectrum and each row vector in the Brillouin gain spectrum feature set; 4 giving a k value, sorting the distances from small to large, and selecting the first k distances; 5 for the first k distances, finding out corresponding elements from the Brillouin frequency shift label set; and 6 counting the frequency of each numerical value of the elements, sorting from large to small, and finding out the numerical value of the maximum frequency,namely the Brillouin frequency shift corresponding to the given Brillouin gain spectrum. Compared with a curve fitting method, the method has the advantage that errors are reduced.

Description

technical field [0001] The invention relates to a distributed optical fiber Brillouin strain and temperature sensor, belonging to the technical field of distributed optical fiber sensing, in particular to a Brillouin frequency shift extraction method based on a proximity algorithm. Background technique [0002] Distributed optical fiber sensing is a new type of sensing method, in which the optical fiber is used as the sensing medium, and it is laid on the surface or inside of the object, and the strain and temperature distribution on the surface or inside of the object can be measured. Compared with traditional monitoring methods, distributed optical fiber sensing technology has: [0003] (1) The strain situation at any point where each sensing optical cable reaches can be accurately given, and errors caused by theoretical modeling calculations can be avoided. [0004] (2) The strain condition of the structure can be accurately positioned, and it is convenient to check the ...

Claims

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Application Information

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IPC IPC(8): G01B11/16G01K11/32
CPCG01B11/16G01K11/32
Inventor 郑欢
Owner ZHEJIANG UNIV OF TECH