光谱学与光谱分析 |
|
|
|
|
|
Radiation Temperature Measurement Technology Based on the Basis of Spectral Emissivity Function |
ZHU Ze-zhong1,2, SHEN Hua1,2*, WANG Nian1,2, ZHU Ri-hong1,2 |
1. School of Electronic Engineering and Photoelectric Technology, Nanjing University of Science& Technology, Nanjing 210094, China2. Key Laboratory of Advanced Solid-State Laser Technology, Ministry of Industry and Information Technology, Nanjing University of Science& Technology,Nanjing 210094, China |
|
|
Abstract In recent years, with the rapid development of the national defense, industry, technology and other fields, whether it is for the power transmission systems or for the steel smelting and new high-tech industry, temperature measurement has been of important significance. Especially in the high temperature and accompanied by the demand for transient (less than lus)temperature measurement occasion, multi spectral radiation temperature measurement method has been widely used. Multi spectral thermometry is selected by the measured target multiple wavelengths radiation information, the mathematical model of emissivity and wavelength is supposed, finally the radiation temperature is obtained. At present, when the method is used to measure the temperature, the spectral emissivity is fixed with the assumption of the mathematical model, and the fixed model is unable to adapt to the target under different temperature conditions. Similarly, at different temperatures, how to calculate the final emissivity and radiation temperature has been no universal method. Based on the Planck’s law of black body radiation, this paper proposes a new idea that is based on the form invariance of the spectral emissivity function under different temperatures. According to the method, the emissivity model adapte to the dynamic change of the object according to the object under different temperature conditions. At the same time, it also puts forward a general method to calculate the final emissivity and radiation temperature. Through a lot of simulations and experiments, it is proved that the method proposed in this paper is more simple and practical than the existing spectral emissivity solution, which can effectively improve the accuracy of the calculation of spectral emissivity,so as to improve the accuracy of the radiation temperature measurement. At the same time, the method proposed in this paper has the characteristics of good practicability and wide application.
|
Received: 2016-03-11
Accepted: 2016-07-28
|
|
Corresponding Authors:
SHEN Hua
E-mail: bayun@163.com
|
|
[1] ZHAI Yang, ZHU Ri-hong, SHEN Hua, et al(翟 洋,朱日宏,沈 华,等). Journal of Applied Optics(应用光学), 2011,24(4):698. [2] DAI Jing-min(戴景民). Techniques of Automation &Applications(自动化技术与应用), 2004,23(3):1. [3] SHEN Hua, CHEN Lei, ZHU Ri-hong, et al(沈 华,陈 磊,朱日宏,等). Acta Optica Sinica(光学学报), 2009, 29(8): 2216. [4] XU Ling-fei, LI Wu-sen, CHEN Yan-ru, et al(许凌飞, 李武森, 陈延如, 等). Laser & Optoelectronics Progress(激光与光电子学进展), 2011, 48(5): 053001. [5] Svet D Y, Sayapina V J, Levchuk V V. High Temp-High Pressures, 1979, 26(11): 117. [6] Tarasov M D, Karpenko I I, Sudovtsov V A. Combustion. Explosion and Shock Waves, 2007, 43(4): 465. [7] YANG Xue-jun, WANG Zhong-yu, ZHANG Shu-kun, et al(杨学军,王中宇,张术坤,等). Journal of Beijing University of Aeronautics and Astronautics(北京航空航天大学学报), 2014,38(8):1022. [8] Cashdollar K L, Herzberg M. Optics Engineering, 1982, 21(1): 82. [9] GE Shao-yan, NA Hong-yue(葛绍岩,那鸿悦). Thermal Radiation Property and Its Measurement(热辐射性质及其测量). Beijing: Science Press(北京:科学出版社), 1986. 189. |
[1] |
CAI Liang-hong1, 2, DING Jian-li1, 2*. Prediction for Soil Water Content Based on Variable Preferred and Extreme Learning Machine Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2209-2214. |
[2] |
MU Si-tu1,2, LIU Chun2, WANG Shu3, FAN Hui-ju3, HAN Bing-jun1, XIAO Kang1*. Spectroscopic Characteristics of Hydrophilic/Hydrophobic Fractions of Natural Organic Matters at Various Critical Retention Factors[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2221-2226. |
[3] |
ZHOU Xiu-qi, LI Run-hua, DONG Bo, HE Xiao-yong, CHEN Yu-qi*. Analysis of Aluminum Alloy by High Repetition Rate Laser Ablation Spark-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1577-1581. |
[4] |
YANG Yi-fan1, CAI Hong-xing1, WANG Zhao-xuan1, LI Yan2, LI Shuang1*. Inversion Research on the Spectrum Emissivity Based on Slowing Varying Properties of Emissivity[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 702-707. |
[5] |
ZHAO Xiao-yu1,ZHAI Zhe2,TAN Feng1,TONG Liang3,TIAN Fang-ming1,LIU Chang1. The Improved Method of Trace Content for Raman Measurement Accuracy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 818-823. |
[6] |
ZHU Ze-zhong1,2, SHEN Hua1,2*, WANG Nian1,2, ZHU Ri-hong1,2. Transient Measure Technique for Excitation Temperature and Radiation Temperature Based on Multi-Spectral Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 333-339. |
[7] |
LI An-ding1, 2, ZHANG Yan3*, ZHOU Bei-hai1, LU Xue-qiang3. Influence of Algae Blooms on DOM Characteristic in Water Bodies in Urban Landscape River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 188-193. |
[8] |
DONG Zai-zheng1, 2, WANG Nan1, LI Xue-jiao3, TONG Xiao-min1, WANG Lin1, YANG Hong-ying3*. AAS Determination of Sb in Pretreated Copper Anode Slime by Alkali Fusion Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3877-3881. |
[9] |
XU Kai-pin1, YU Kun1*, ZHANG Kai-hua1, LIU Yu-fang1, 2*. The Experimental Investigation into the Emissivity of Armco A3, Steel 304 and Steel 201[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3594-3599. |
[10] |
ZHANG Fu-cai1, 2, SUN Xiao-gang1*, SUN Bo-jun1, YU Chen-tao1. Theoretical Study of Multi-Spectral Radiation Temperature Measurement Based on Temperature Difference Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2657-2661. |
[11] |
WEI Meng-xue1, 2, WANG Bin1, 2*, CHEN Shu1, 2, BAI Ying-chen3, DONG Fa-qin1, 2, ZHU Jing-ping1, LI Ming1, 2, WEI Jie2. Study on Spectral Characteristics of Dissolved Organic Matter Collected from the Decomposing Process of Crop Straw in West Sichuan Plain[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2861-2868. |
[12] |
XIA Pu1,2, LIU Xue-bin1*. Study on the Polarization Spectral Image Dehazing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2331-2338. |
[13] |
GU Wei-hong, MA Zhao, XING Jian*, LI Ming, SONG Wen-long. Multi Spectral True Temperature Inversion Algorithm Based on Emissivity Deviation Constraints[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2500-2504. |
[14] |
HU Li1, ZHAO Nan-jing2*, LI Da-chuang1,TANG Lei1, FANG Li2. Study of Variable Selection Method Based on PLS for Quantitatively Measuring Heavy Metal in Water with LIBS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2585-2589. |
[15] |
WANG Yong-qing, CHEN Yan-ru, ZHAO Qi*, ZHOU Mu-chun, SHAO Yan-ming. On-Line Measurement of Converter Combustion Flame with Radiation Thermometry and AES[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1243-1249. |
|
|
|
|