基于缓变假设的多光谱辐射法发射率测量误差分析与仪器参数配置研究
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中国科学院上海技术物理研究所 空间主动光电技术重点实验室

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TN215

基金项目:

国家杰出青年科学基金(62125505)、上海市“科技创新行动计划”启明星培育(扬帆专项)(22YF1416900)


Research on error analysis and instrument parameter configuration of emissivity measurement of multispectral radiometric method based on slow-change assumption
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Key Laboratory of Space Active Opto-electronic Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai

Fund Project:

The National Science Fund for Distinguished Young Scholars,Shanghai "Science and Technology Innovation Action Plan" Star Cultivation (Yangfan Special Program)

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    摘要:

    发射率作为表征物体辐射特性的关键参量,其准确测量对于高温目标识别、材料改性表征、金属冶炼过程调控等领域具有重要价值。多光谱辐射法测量发射率因其非接触和测量速度快等优势而成为研究热点,其测量精度由欠定方程组的求解精度决定。目前对欠定方程组求解精度的研究主要关注方程求解算法误差,忽略了光谱仪自身的测量误差,导致未能合理地控制系统误差。本文基于适用范围广、测量精度高的缓变假设,通过模拟不同条件下光谱通道数和信噪比对发射率测量误差的影响,确定了相应条件下光谱仪的参数配置,并对发射率测量效果进行实验验证。实验结果表明,使用基于缓变假设的多光谱辐射法,为使黑体发射率测量误差小于1%,光谱仪的光谱通道数应不小于400,信噪比不低于1000;对发射率变化复杂的目标而言,为使测量误差小于1%,应至少具有1000个光谱通道数及1200以上的信噪比。综合考虑算法误差和光谱仪参数匹配关系,是合理控制系统误差的关键,可以获得更精确的发射率测量结果,这为多光谱辐射法精确测量发射率的应用提供了新的依据和解决方案,对于高温目标的准确识别和相关领域的应用具有重要意义。

    Abstract:

    Emissivity, as a key parameter to characterize the radiation properties of an object, and its accurate measurement is of great value for high-temperature target identification, characterization of material modification, and regulation of metal smelting process. The emissivity measurement by multispectral radiation method has become a research hotspot because of its advantages of non-contact and fast measurement speed, and its measurement accuracy is determined by the solution accuracy of the underdetermined system of equations. At present, the research on the solution accuracy of the underdetermined system of equations mainly focuses on the error of the equation solving algorithm, ignoring the measurement error of the spectrometer itself, which leads to the failure of controlling the system error in a reasonable way. In this paper, based on the assumption of retardation with wide application range and high measurement accuracy, the influence of the number of spectral channels and signal-to-noise ratio on the emissivity measurement error under different conditions is simulated, the parameter configurations of the spectrometer under the corresponding conditions are determined, and the effect of emissivity measurement is experimentally verified. The experimental results show that, using the multispectral radiation method based on the slow-change assumption, the number of spectral channels of the spectrometer should be not less than 400 and the signal-to-noise ratio should not be less than 1000 in order to make the blackbody emissivity measurement error less than 1%; for the targets with complex emissivity changes, the spectrometer should have at least 1,000 spectral channels and signal-to-noise ratios of more than 1,200 in order to make the measurement error less than 1%. Comprehensive consideration of the algorithm error and spectrometer parameter matching relationship is the key to rationally control the system error, and more accurate emissivity measurement results can be obtained, which provides a new basis and solution for the application of multispectral radiation method to accurately measure the emissivity, which is of great significance for the accurate identification of high-temperature targets and the application of the related fields.

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  • 收稿日期:2024-02-03
  • 最后修改日期:2024-04-16
  • 录用日期:2024-04-18
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