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R-DTS with Heat Transfer Functional Model for Perceiving the Surrounding Temperature
IEEE Sensors Journal ( IF 4.3 ) Pub Date : 2020-01-15 , DOI: 10.1109/jsen.2019.2944269
Jian Li , Qian Zhang , Tao Yu , Mingjiang Zhang , Jianzhong Zhang , Lijun Qiao , Tao Wang

In the field of temperature safety monitoring, it is important to quickly locate the position of temperature anomalies and start to alarm. The multimode fiber (MMF) has a certain temperature hysteresis effect when detecting the surrounding temperature along the sensing fiber, it deteriorates the warning-time of Raman distributed temperature sensor (R-DTS). This paper proposed and experimentally demonstrated an R-DTS with heat transfer functional model to perceive the surrounding temperature in advance. The temperature hysteresis effect of MMF cable in different temperature conditions are studied experimentally. The experimental results show that the temperature change rate of MMF and the surrounding temperature difference maintains a linear relationship after fitting. And this fitting relationship is used to perceive the surrounding temperature anomalies along the MMF for R-DTS system. The experimental results indicate that the warning-time of R-DTS can optimize from 23.4 s to 1.3 s at the temperature condition with 60 °C. It proves that this analytical model of the heat transfer function model can quickly perceive the environment temperature anomalies to avoid the temperature hysteresis effect of MMF at the difference temperature conditions. The research content can be applied in the temperature safety monitoring with high requirements for early-warning time, such as fire monitoring, power cable safety monitoring, and gas pipeline leakage detection.

中文翻译:

带有传热函数模型的 R-DTS 用于感知周围温度

在温度安全监测领域,快速定位温度异常位置并开始报警非常重要。多模光纤(MMF)在沿传感光纤检测周围温度时具有一定的温度滞后效应,它恶化了拉曼分布式温度传感器(R-DTS)的预警时间。本文提出并实验证明了一种具有传热函数模型的R-DTS,可以提前感知周围温度。实验研究了MMF电缆在不同温度条件下的温度滞后效应。实验结果表明,拟合后MMF的温度变化率与周围温差保持线性关系。并且这种拟合关系用于感知 R-DTS 系统沿 MMF 的周围温度异常。实验结果表明,在60°C的温度条件下,R-DTS的警告时间可以从23.4 s优化到1.3 s。证明该传热函数模型的解析模型可以快速感知环境温度异常,避免MMF在不同温度条件下的温度滞后效应。研究内容可应用于火灾监测、电力电缆安全监测、燃气管道泄漏检测等对预警时间要求较高的温度安全监测。在 60 °C 的温度条件下 3 秒。证明该传热函数模型的解析模型可以快速感知环境温度异常,避免MMF在不同温度条件下的温度滞后效应。研究内容可应用于火灾监测、电力电缆安全监测、燃气管道泄漏检测等对预警时间要求较高的温度安全监测。在 60 °C 的温度条件下 3 秒。证明该传热函数模型的解析模型可以快速感知环境温度异常,避免MMF在不同温度条件下的温度滞后效应。研究内容可应用于火灾监测、电力电缆安全监测、燃气管道泄漏检测等对预警时间要求较高的温度安全监测。
更新日期:2020-01-15
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