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Precise, Rugged Spectrum-Based Calibration of Distributed Anti-Stokes Raman Thermometry Systems

机译:精确,坚固的基于频谱的分布式防斯托克斯拉曼温度系统校准

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We report the development of a rugged calibration method based on the measurement of the spectral response of a distributed anti-Stokes Raman thermometry (DART) system. Due to the presence of a high level of Rayleigh scattered signal in the Stokes channel, we find that the temperature measurement may be more precise if we use the Rayleigh signal as reference for the anti-Stokes thermometry. Moreover, we find that the temperature measurement needs to be calibrated for the loss spectrum of the optical components used in the system. Based on such an algorithm, we have demonstrated a prototype which is capable of sensing temperatures up to 90 °C with an accuracy of 2 °C over distances up to 6.5 km with 8 m spatial resolution.
机译:我们报告了基于测量分布式防斯托克斯拉曼温度(DART)系统的光谱响应的粗糙校准方法的开发。由于在斯托克斯信道中存在高水平的瑞利散射信号,我们发现如果我们使用瑞利信号作为反斯托克热度的参考,则温度测量可能更精确。此外,我们发现需要校准温度测量,用于系统中使用的光学元件的损耗光谱。基于这样的算法,我们已经证明了一种原型,其能够在高达90°C的温度上感测高达90°C的温度,其距离高达8米,空间分辨率为8米。

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