用于提高远程拉曼光纤温度传感器温度稳定性的自动校正方法。

Auto-correction method for improving temperature stability in a long-range Raman fiber temperature sensor.

作者信息

Li Jian, Yan Baoqiang, Zhang Mingjiang, Zhang Jianzhong, Qiao Lijun, Wang Tao

出版信息

Appl Opt. 2019 Jan 1;58(1):37-42. doi: 10.1364/AO.58.000037.

DOI:10.1364/AO.58.000037

Abstract

We propose and experimentally demonstrate a novel auto-correction method for improving temperature stability in long-range Raman distributed fiber temperature sensors. The proposed method is based on multi-stage constant temperature control and dynamic gain calibration technology, which can suppress the unstable photoresponsivity and noise of a system. The experimental results indicate that the temperature stability is optimized from ±12.6°C to ±7.2°C at the sensing distance of 30 km for multimode fiber using this method.

摘要

我们提出并通过实验证明了一种用于提高长距离拉曼分布式光纤温度传感器温度稳定性的新型自动校正方法。所提出的方法基于多级恒温控制和动态增益校准技术，可抑制系统不稳定的光响应性和噪声。实验结果表明，使用该方法，对于多模光纤，在30 km的传感距离下，温度稳定性从±12.6°C优化到了±7.2°C。