Temperature optimized measurement method on basis of analysis on interference spectrum of core-dislocated fibers in BP neural network

Abstract

The present invention discloses a temperature optimized measurement method on the basis of the analysis on the interference spectrum of core-dislocated fibers in a BP neural network. According to the method, the intensity of an interference spectrum formed by optical signals after passing through core-dislocated fibers in different temperature environments is analyzed and calculated by the BP neural network wave lengths, or the nonlinear mapping relationship between the wavelengths of the interference peaks of the above interference spectrum and corresponding temperature values is analyzed and figured out by the BP neural network. In this way, the temperature prediction is realized. The method is high in resolution ratio, stable in performance and high in sensitivity.

Description

technical field [0001] The invention belongs to the technical field of dislocation optical fiber temperature measurement, and in particular relates to a method for optimizing the measurement temperature by analyzing the interference spectrum of dislocation optical fiber through a BP neural network. Background technique [0002] In recent years, the intermode interference theory of misplaced optical fibers has been widely used in various sensor fields, among which the research on temperature sensors is more typical. Fiber-optic sensors are inevitably affected by cross-sensitivity effects when measuring physical parameters. This phenomenon hinders the development of fiber-optic intermode interference sensors. Various temperature sensors need to take measures to solve the problem of cross-sensitivity, and the theory tends to Mature, but the measurement is too cumbersome, and the preparation of some sensors requires complex processes such as chemical corrosion or laser processin...

AI Technical Summary

Problems solved by technology

Fiber-optic sensors are inevitably affected by cross-sensitivity effects when measuring physical parameters. This phenomenon hinders the development of fiber-optic intermode interference sensors. Various temperature sensors need to take measures to solve the problem of cross-sensitivity, and the theory tends to Mature, but the measurement is too cumbersome. The preparation of some sensors requires complex processes such as chemical corrosion or laser processing, and the preparation conditions are also quite harsh. The accuracy is improved and the cost is also increased.

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