Distributed optical fiber temperature prediction method based on Kalman filtering and iterative learning

Abstract

The invention discloses a distributed optical fiber temperature prediction method based on Kalman filtering and iterative learning. A laser emits optical pulses, the optical pulse enters a sensing optical fiber through a wavelength division multiplexer; when the temperature changes, a backward Raman scattering signal in the optical fiber is changed along with the change; then, the optical pulse isseparated into Stokes light and anti-Stokes light through a wavelength division multiplexer; the light is converted into an electric signal through a photoelectric detector; the electric signal is acquired by an acquisition card, the acquired data of each point is processed through Kalman filtering, all sampling points are gathered together, a curve with the temperature changing along with the distance in real time can be obtained, iterative learning algorithm processing is conducted on the curve, then a temperature curve at the next moment can be obtained, and therefore, the real-time monitoring and prediction of the temperature are achieved. According to the invention, the temperature value measured by a distributed optical fiber temperature measurement system can be closer to a real value, and the temperature prediction of the next moment can be realized.

Description

technical field [0001] The invention relates to the technical field of distributed optical fiber temperature measurement, in particular to a distributed optical fiber temperature prediction method based on Kalman filtering and iterative learning. Background technique [0002] Distributed optical fiber temperature measurement system has broad application prospects. It can be used for cable temperature and ampacity monitoring, bridge and tunnel monitoring, aerospace industry temperature monitoring, oil and gas pipeline monitoring, etc. It is very important to ensure the safety of industrial production and people's life. significance. [0003] The temperature accuracy and resolution of the existing distributed optical fiber temperature measurement system are generally not high. Although real-time monitoring can be realized, the stability is not strong, and there are defects in practical applications. The real-time monitoring and prediction method of distributed optical fiber t...

AI Technical Summary

Problems solved by technology

[0003] The temperature accuracy and resolution of the existing distributed optical fiber temperature measurement system are generally not high. Although real-time monitoring can be realized, the stability is not strong, and there are defects in practical applications.

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