摘要
分别采用彩色相机和多光谱相机构建辐射测温系统,利用黑体炉进行温度模型标定实验,并基于BP神经网络对标定数据进行训练得到测温模型。通过蜡烛火焰的温度测量实验,验证了测温模型的可靠性,且结果显示多光谱成像测温系统的测温精度高于彩色相机测温系统。针对常规辐射成像测温系统空间分辨率不足的问题,采用多光谱相机结合显微镜搭建了显微测温平台,对高温热台内的单石油焦颗粒燃烧过程进行记录,得到了石油焦颗粒表面的温度分布以及随时间的温度变化过程。
The radiation temperature measurement system was constructed by color camera and multispectral camera.The blackbody furnace was used to conduct the temperature calibration experiment,and the calibration data were used to obtain a temperature measurement model based on BP neural networks.The reliability of the temperature measurement model was verified by the temperature measurement experiment of a candle flame,and the results showed that the accuracy of the multispectral imaging temperature measurement system was higher than the color camera temperature measurement system.For the problem of insufficient spatial resolution of conventional radiometric temperature measurement system,a microscopic temperature measurement system was established using a hot stage microscope(HSM)and a multispectral imaging camera.The combustion process of single petroleum coke particles inside the high-temperature hot stage was recorded.The temperature distribution on the surface of petroleum coke particles and the temperature change process with time were obtained.
作者
杨娟
周骛
蔡小舒
沈中杰
刘海峰
YANG Juan;ZHOU Wu;CAI Xiaoshu;SHEN Zhongjie;LIU Haifeng(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Key Laboratory of Multiphase Flow and Heat Transfer for Power Engineering,Shanghai 200093,China;Shanghai Engineering Research Center of Coal Gasification,East China University of Science and Technology,Shanghai 200237,China)
出处
《光学仪器》
2022年第3期1-7,共7页
Optical Instruments
基金
国家科技重大专项(2017-V-0016-0069)
国家自然科学基金(51327803、51576130)。
关键词
多光谱成像
彩色成像
温度分布测量
显微热台
单颗粒
神经网络
multispectral imaging
color imaging
temperature distribution measurement
hot stage microscope
single particle
neural network
