Advanced Search
中文
Volume 46 Issue 10
Oct.  2024
Turn off MathJax
Article Contents
Abstract
References
Related Articles
KONG Yanjie, YANG Yang, LIU Chengyu, WANG Pengyu, LI Chunlai. Uncooled Snapshot Infrared Video Spectrometer and Its Data Processing[J]. Infrared Technology , 2024, 46(10): 1192-1200.
Citation: KONG Yanjie, YANG Yang, LIU Chengyu, WANG Pengyu, LI Chunlai. Uncooled Snapshot Infrared Video Spectrometer and Its Data Processing[J]. Infrared Technology , 2024, 46(10): 1192-1200.
shu

Uncooled Snapshot Infrared Video Spectrometer and Its Data Processing

  • 1.

    Key Laboratory of Space Active Optical-Electro Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049, China

More Information
  • Received Date: April 06, 2023
  • Revised Date: May 08, 2023
    Graphical Abstract
    • Abstract

  • Owing to industrialization and the rapid development of modern society, the leakage of dangerous chemical gases in industrial production seriously endangers the safety of human life and property. Effectively detecting the presence of contaminated gas and obtaining information on the gas concentration and distribution have become important topics in gas leakage detection. Uncooled Snapshot Infrared Video Spectrometer (USIVS) is an ideal hardware scheme that can directly perceive the existence of dangerous chemical gas from the image and obtain the position of dangerous chemical gas to provide strong support for emergency responses. However, the sensitivity and spectral resolution of commercial lightweight passive infrared spectral imagers are relatively limited, and it is difficult to accurately detect the presence of polluted gases using existing inversion methods. In this study, an infrared video spectral imager is introduced based on an uncooled snapshot and its applicable data-processing technology. The gas concentration inversion method is used to simulate gas at different temperatures and optical path lengths, and the inversion results are relatively accurate, with average errors of 2.88% and 0.61%, respectively. The gas concentration inversion method is tested in laboratory and outdoor settings. The results show that the algorithm has good stability with average errors of 6.18% and 7.47%. The effective combination of USIVS and data processing technology can quickly and accurately detect the presence of polluted gas and provide the gas concentration of each pixel in the image. This in turn can realize gas cloud concentration inversion, providing a reference for the commercialization and practical application of this technology in the future.

    • FullText(HTML)
    • References (11)
  • [1]
    高泽东, 高洪兴, 朱院院, 等. 快照式光谱成像技术综述[J]. 光学精密工程, 2020, 28(6): 1323-1343.

    GAO Zedong, GAO Hongxing, ZHU Yuanyuan, et al. Review of snapshot spectral imaging technologies[J]. Optics and Precision Engineering, 2020, 28(6): 1323-1343.
    [2]
    李春来, 刘成玉, 金健, 等. 热红外高光谱成像仪(ATHIS)对矿物和气体的实验室光谱测量[J]. 红外与毫米波学报, 2020, 39(6): 767-777.

    LI Chunlai, LIU Chenyu, JIN Jian, et al. Spectral measurement of minerals and gases based on airborne thermal-infrared hyperspectral imaging system(ATHIS)[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 767-777.
    [3]
    李春来, 吕刚, 袁立银, 等. 机载热红外高光谱成像仪的光谱性能测试与初步应用[J]. 红外与激光工程, 2020, 49(5): 158-164.

    LI Chunlai, LV Gang, YUAN Liyin, et al. Laboratory calibration and application of the airborne thermal infrared hyperspectral imager (ATHIS) [J]. Infrared and Laser Engineering, 2020, 49(5): 158-164.
    [4]
    张旭, 金伟其, 李力, 等. 天然气泄漏被动式红外成像检测技术及系统性能评价研究进展[J]. 红外与激光工程, 2019, 48(S2): 53-65.

    ZHANG Xu, JIN Weiqi, LI Li, et al. Research progress on passive infrared imaging detection technology and system performance evaluation of natural gas leakage[J]. Infrared and Laser Engineering, 2019, 48(S2): 53-65.
    [5]
    谭雨婷, 李家琨, 金伟其, 等. 气体泄漏的单点探测器与红外成像检测的灵敏度模拟分析[J]. 红外与激光工程, 2014, 43(8): 2489-2495.

    TAN Yuting, LI Jiakun, JIN Weiqi, et al. Model analysis of the sensitivity of single-point sensor and IRFPA detectors used in gas leakage detection[J]. Infrared and Laser Engineering, 2014, 43(8): 2489-2495.
    [6]
    陈良富, 顾坚斌, 王甜甜, 等. 近地面NO2浓度卫星遥感估算问题[J]. 环境监控与预警, 2016, 8(3): 1-5.

    CHEN Liangfu, GU Jianbing, WANG Tiantian, et al. Scientific problems for ground NO2 concentration estimation using DOAS method from satellite observation[J]. Environmental Monitoring and Forewarning, 2016, 8(3): 1-5.
    [7]
    游介文, 邹滨, 赵秀阁, 等. 基于随机森林模型的中国近地面NO2浓度估算[J]. 中国环境科学, 2019, 39(3): 969-979.

    YOU Jiewen, ZOU Bin, ZHAO Xiuge, et al. Estimating ground-level NO2 concentrations across China's mainland using random forests regression modeling[J]. China Environmental Science, 2019, 39(3): 969-979.
    [8]
    John Freddy Grajales, Astrid Baquero-Bernal. Inference of surface concentrations of nitrogen dioxide (NO2) in Colombia from tropospheric columns of the ozone measurement instrument (OMI)[J]. Atmósfera, 2014, 27: 193-214. DOI: 10.1016/S0187-6236(14)71110-5
    [9]
    QIN Kai, HAN Xu, LI Donghui, et al. Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data[J]. Atmospheric Environment, 2020, 224: 117322. DOI: 10.1016/j.atmosenv.2020.117322
    [10]
    YEN JY. Finding the k shortest loopless paths in a network[J]. Management Science. 1971, 17(11): 712-716. DOI: 10.1287/mnsc.17.11.712
    [11]
    Nathan Hagen, Robert T Kester, Chanda Walker. Real-time quantitative hydrocarbon gas imaging with the gas cloud imager (GCI)[C]//SPIE Proceedings, 2012, 8358: 1-2.
    • Related Articles

  • Related Articles

    [1]XU Lixia, LIU Lixia, YANG Yaodong, ZHOU Shuangfeng, ZHAO Haiquan, GAO Jing. Thermal Image Data Processing Technology of Pseudo Soldering Based on Trend Analyzing[J]. Infrared Technology , 2022, 44(9): 979-985.
    [2]Design and Implementation of Multispectral Data Processing System Based on DSP[J]. Infrared Technology , 2018, 40(6): 545-550.
    [3]A Multi-channel CCD Data Processing and Transmission System Based on FPGA[J]. Infrared Technology , 2013, (3): 161-165.
    [4]ZHANG Xi-wen, LI Li-jing, LIANG Sheng, ZHANG Chun-xi. The Novel Multi-wavelength Infrared Sensor for Simultaneous Measurement of Dust and Gas Concentration[J]. Infrared Technology , 2009, 31(1): 35-38. DOI: 10.3969/j.issn.1001-8891.2009.01.010
    [5]ZHANG Yin, ZHOU Meng-ran. Methods for Data Process of Near Infrared Spectroscopy Analysis[J]. Infrared Technology , 2007, 29(6): 345-348. DOI: 10.3969/j.issn.1001-8891.2007.06.009
    [6]ZHU Lei, ZHANG Ming-tao, WU Gang, LIU Yin-nian. Onboard Processing Of VNIR/WIR Hyperspectral Imaging Spectrometer[J]. Infrared Technology , 2007, 29(5): 257-261. DOI: 10.3969/j.issn.1001-8891.2007.05.003
    [7]LAI Rui, SHEN Jian-hua, LIU Shang-qian, ZHOU Hui-xin. Approache to Vast Data-amount Communication in Host-Slave Infrared Image Processing System[J]. Infrared Technology , 2005, 27(3): 210-212. DOI: 10.3969/j.issn.1001-8891.2005.03.007
    [8]A More Reliable Image Information Processing System Based on Data-Fusion Model[J]. Infrared Technology , 2004, 26(6): 17-21. DOI: 10.3969/j.issn.1001-8891.2004.06.005
    [9]Tree Discriminator Algorithm Used for Identification and Classification of Gas Infrared Remote Sensing Data[J]. Infrared Technology , 2004, 26(1): 9-12. DOI: 10.3969/j.issn.1001-8891.2004.01.003
    [10]Configuring of Data Demory in Digh-speed DSP Video Processing System[J]. Infrared Technology , 2003, 25(1): 51-53,57. DOI: 10.3969/j.issn.1001-8891.2003.01.012

Catalog

    Get Citation
    PDF
    XML
    Article views (77) PDF downloads (35) Cited by()
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return