Fiber Bragg Grating Strain Distribution Reconstruction Method Based on Dynamic Adaptive Particle Swarm Optimization

Abstract

The present invention provides a fiber grating strain distribution reconstruction method based on a dynamic adaptive particle swarm algorithm that can more accurately reconstruct non-uniform strains. It includes the following steps: the first step is to construct a sensor device for measuring strain distribution, using To collect the original signal of the strain distribution; the sensor device includes two fiber gratings arranged side by side; one of the fiber gratings is a uniform fiber grating; the other fiber grating is a chirped fiber grating; in the second step, the sensor The device is installed on the measured object that needs to measure the strain; in the third step, the light source for detection is respectively injected into the two fiber gratings in the first step, and then the reflection spectrum corresponding to the two fiber gratings is obtained in real time through the spectrometer; The fourth step is to reconstruct the strain distribution of the reflectance spectrum in the third step by using the dynamic adaptive particle swarm algorithm, and display the results by computer.

Description

technical field [0001] The invention relates to a strain distribution reconstruction method applied to an optical fiber grating strain sensor, in particular to an optical fiber grating strain distribution reconstruction method based on a dynamic self-adaptive particle swarm algorithm. Background technique [0002] Fiber Bragg grating is a micro-optical component that has developed rapidly in recent decades. Fiber sensor technology is a new application research field of fiber Bragg grating. Fiber Bragg grating can be made into sensors for measuring parameters such as stress, strain and temperature. This new type of sensor has good stability, reliability, insensitivity to electromagnetic waves, small size, suitable for use in high temperature, corrosive or dangerous environments, and a series of advantages such as information transmission and sensing. , has a very wide range of applications in geodynamics, spacecraft and ship navigation, civil engineering structures, power ind...

AI Technical Summary

Problems solved by technology

[0005] In response to the above problems, some solutions have been proposed in the prior art. For example, the patent application number is: application number 201510180413.7, and the name is: an invention patent of a FBG non-uniform strain reconstruction method using a group algorithm. A method using The method of reconstructing non-uniform strain by FBG, this method uses the transmission matrix method to simulate the reflection spectrum under non-uniform strain distribution, but only uses FBG for measurement, it is difficult to apply to the strain reconstruction of non-monotonic distribution, and the application occasions are limited

[0006] In summary, there is currently a lack of an algorithm-based reconstruction method for FBG strain distribution that can more accurately reconstruct non-uniform strain

Images