Xia Jianchun, Xia Li, Yang Zhao, Huang Panli
Appl Opt. 2020 Jan 10;59(2):300-305. doi: 10.1364/AO.59.000300.
A novel algorithm for attenuation calibration in distributed temperature sensors (DTS) based on Raman scattering is presented and experimentally demonstrated, for the first time to the best of our knowledge. Numerical simulation is implemented to explore the signal distribution of Stokes and anti-Stokes lights along sensing fiber with the traditional DTS configuration. The proposed attenuation calibration method is to process the directly detected signal related to the temperature profile and calculate the calibration coefficient to maintain the linearity of temperature measurement and its uniformity along the whole fiber. The experimental results indicate that the attenuation issue of the signal along the sensing fiber is solved simply and efficiently. Simultaneously, a good linearity of the temperature measurement is achieved and the sensitivity remains uniform in the measuring range. The enhanced DTS system reduces the maximal error in temperature measurement from 18.01°C to 1.56°C along an approximate 10 km sensing fiber. The simplicity, validity, and reliability of the proposed method make the DTS system a better candidate in practical applications without the extra requirements of the existing system configuration.
据我们所知,首次提出并通过实验证明了一种基于拉曼散射的分布式温度传感器(DTS)衰减校准新算法。采用数值模拟方法研究了传统DTS配置下斯托克斯光和反斯托克斯光沿传感光纤的信号分布。所提出的衰减校准方法是对与温度分布相关的直接检测信号进行处理,并计算校准系数,以保持温度测量的线性度及其沿整个光纤的均匀性。实验结果表明,该方法简单有效地解决了传感光纤上信号的衰减问题。同时,实现了良好的温度测量线性度,且在测量范围内灵敏度保持均匀。增强后的DTS系统将沿约10 km传感光纤的温度测量最大误差从18.01°C降低到了1.56°C。该方法的简单性、有效性和可靠性使DTS系统在实际应用中成为更好的选择,而无需对现有系统配置有额外要求。