光谱学与光谱分析, 2018, 38 (2): 333, 网络出版: 2018-03-14
基于多光谱法的激发温度和辐射温度瞬态测试技术
Transient Measure Technique for Excitation Temperature and Radiation Temperature Based on Multi-Spectral Method
光谱学 多光谱法 光谱发射率 激发测温 辐射测温 测量精度 Spectroscopy Multi-spectral method Spectral emissivity Excitation temperature Radiation temperature Measurement accuracy
摘要
近些年来, 随着国内外尖端科技快速发展, 温度测量无论是对于**建设领域还是对于工业制造领域都有着极为重要的指导意义和研究价值。 尤其在瞬态超高温测量方面, 测温精度要求更为严苛。 测温方法多种多样, 多光谱法由于其精度较高且适用性强, 被国内外专家广泛运用。 基于多光谱测温法, 提出一种新的能够同时高精度测量目标的瞬态激发温度和辐射温度的方法。 该方法通过查找可信度更高的目标物理特性数据以及更为精确的多光谱直线拟合方法, 精准计算得到目标激发温度。 通过建立更加准确的数学模型和算法, 减小光谱发射率对整个测温过程的影响实现高精度的辐射温度测量。 通过相关测温实验表明, 系统测温精度达到3%。
Abstract
In recent years, with the rapid development of cutting-edge technology at domestic and foreign, temperature measurement has a very important guiding significance and research value in the field of national defense construction and industrial manufacturing. Especially in the transient ultrahigh temperature measurement, temperature measurement accuracy requirements are more stringent. Because of its high precision and applicability, multi spectral method is widely used by experts at domestic and foreign. In this paper, a new method is proposed to solve the transient excitation temperature and radiation temperature of the target with high accuracy at the same time. This method can obtain the target excitation temperature by finding the higher reliability of the target physical characteristic data and the more accurate multi spectral line fitting method. By establishing a more accurate mathematical model and algorithm, the effect of spectral emissivity on the whole process of temperature measurement is reduced. The relevant temperature measurement experiments show that the system temperature measurement accuracy of this method reached 3%.
朱泽忠, 沈华, 王念, 朱日宏. 基于多光谱法的激发温度和辐射温度瞬态测试技术[J]. 光谱学与光谱分析, 2018, 38(2): 333. ZHU Ze-zhong, SHEN Hua, WANG Nian, ZHU Ri-hong. Transient Measure Technique for Excitation Temperature and Radiation Temperature Based on Multi-Spectral Method[J]. Spectroscopy and Spectral Analysis, 2018, 38(2): 333.