Abstract：Multispectral radiation temperature measurement is one of the most powerful tools for high temperature measurement. It aims at the point to be measured through the optical aiming system, obtains the radiation information of multiple spectral channels through the light-splitting path, uses the photodetector to convert it into electrical signals, and obtains the real temperature and spectral emissivity of the target to be measured at the same time after data processing the electrical signals of multiple spectral radiation channels. The temperature inversion result of the target to be measured is affected by the unknown emissivity, which is difficult to be retrieved directly. In order to solve the problem that it is difficult to determine the emissivity model of the target to be measured, based on the reference temperature model, a multispectral radiation temperature measurement data processing method without assuming the emissivity model is proposed. Using the constraint condition that the difference between the retrieved temperature value and the average value of each channel obtained at the same time approaches “zero”, a reasonable cut-off condition is set according to the accuracy requirements, and an appropriate emissivity iteration step size is designed, The inversion accuracy can meet the actual requirements. In terms of improving the inversion speed, the “dichotomy” is proposed. That is, under the guidance of the deviation between the last emissivity temperature and the average temperature, the “dichotomy” is used to quickly reduce the emissivity search interval until the cut-off condition is met, that is, the inversion temperature of each spectral channel tends to be equal, to achieve the goal of fast inversion. The new inversion algorithm of multispectral radiation temperature measurement based on the bisection iterative method can realize the real temperature inversion of multispectral radiation temperature measurement data without prior knowledge of emissivity. Based on the optical fiber spectrometer, a multispectral radiation temperature measurement experimental devices is designed. The target is focused on the cross wire on the differentiation plate by using the imaging lens. A 45° reflection prism is pasted at the cross wire. After reflecting the radiation information to the optical fiber, it enters the spectrometer to realize multispectral temperature measurement. The experiment measured the furnace flame of the boiler through the observation window and compared it with the thermocouple measurement results. The results show that the relative error with the thermocouple measurement results (about 1 000 K) is less than 4.4%. At the same time, the millisecond real-time inversion is realized with the ordinary computer course, which shows that the algorithm meets the requirements of on-line measurement, and the algorithm further improves the theory of multispectral radiation temperature measurement. It provides theoretical support for the application of multispectral radiation temperature measurement technology in the field of biomass flame high-temperature measurement.
朱自民，邢 键. 基于二分迭代递推的多光谱辐射测温反演算法[J]. 光谱学与光谱分析, 2023, 43(09): 2674-2678.
ZHU Zi-min, XING Jian. Research on Inversion Algorithm of Multispectral Radiation Temperature Measurement Based on Bisection Iterative Recursion. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2674-2678.
[1] Liang M, Wang Y, Wang C, et al. Meas. Sci. Technol., 2022, 33(6)：065004.
[2] Sun B, Sun X, Dai J. Results in Physics, 2020, 19: 103388.
[3] Liang J, Dai L, Chen S, et al. Optics Exp., 2018, 26(20): 25706.
[4] Nair A M, Muvvala G, Sarkar S, et al. Mater. Lett., 2020, 277: 128330.
[5] Fu T, Liu J, Zong A. Appl. Opt., 2014, 53(29): 6830.
[6] Kelly D L, Scarborough D E, Thurow B S. Meas. Sci. Technol., 2021, 32(10): 105901.
[7] Zhang Y, Zhang W, Dong Z, et al. Infrared. Phys. Techn., 2020, 106: 103273.
[8] Meng L, Deschaume O, Larbanoix L. Photoacoustics, 2019, 13: 33.
[9] Xing J, Liu Z, Luo J, et al. Rev. Sci. Instrum., 2020, 91(10): 104903.
[10] Wen C D, Chai T Y. Appl. Therm. Eng., 2011, 31(14): 2414.
[11] SUN Bo-jun, SUN Xiao-gang, DAI Jing-min(孙博君，孙晓刚，戴景民). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2021, 41(5): 1336.
[12] Sun X G, Yuan G B, Dai J M, et al. Int. J. Thermophys., 2005, 26(4): 1255.
[13] Coppa P, Dai J M, Ruffino G. Int. J. Thermophys., 1993, 14(3): 599.
