Volume 42 Issue 12
Dec.  2020
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QIN Chao, ZHANG Xu, YUAN Pan, JIN Weiqi, LI Li, WANG Xia. Multi-index Test Evaluation System for Performance of Gas Leak Thermal Imaging Systems[J]. Infrared Technology , 2020, 42(12): 1134-1140.
Citation: QIN Chao, ZHANG Xu, YUAN Pan, JIN Weiqi, LI Li, WANG Xia. Multi-index Test Evaluation System for Performance of Gas Leak Thermal Imaging Systems[J]. Infrared Technology , 2020, 42(12): 1134-1140.

Multi-index Test Evaluation System for Performance of Gas Leak Thermal Imaging Systems

  • Received Date: 2020-07-03
  • Rev Recd Date: 2020-09-09
  • Publish Date: 2020-12-26
  • At present, the technology for the performance evaluation of gas leak thermal imaging detectors is not sufficiently well-developed, and there is no systematic research report on the test systems or methods of the corresponding evaluation index. However, it is difficult for the performance evaluation methods of conventional thermal imaging cameras to directly evaluate the detection capabilities of gas leak thermal imaging systems. We designed a test and evaluation system that can measure the performance of gas leak thermal imaging systems with multiple types of performance indicators. NECL, MRGC, and MDGC were measured experimentally in a laboratory environment with ethylene and methane gas as the detection target. The experimental measurements verify that the test evaluation system is feasible and practical.
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  • [1]
    Benson R, Madding R, Lucier R, et al. Standoff passive optical leak detection of volatile organic compounds using a cooled InSb based infrared imager[C]//AWMA 99th Annual Meeting Papers, 2006: 131.
    [2]
    Hagen N, Kester R T, Morlier C G, et al. Video-rate spectral imaging of gas leaks in the longwave infrared[C]//Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIV, International Society for Optics and Photonics, 2013, 8710: 871005.
    [3]
    Bernascolle P F, Elichabe A, Fervel F, et al. Stand-off CWA imaging system: Second sight MS[C]//Proc. of SPIE, 2012, 8358: 83581B.
    [4]
    Flanigan D F. Detection of organic vapors with active and passive sensors: a comparison[J]. Applied Optics, 1986, 25(23): 4253-4259. doi:  10.1364/AO.25.004253
    [5]
    Benson R G, Panek J A, Drayton P. Direct measurements of minimum detectable vapor concentrations using passive infrared optical imaging systems[C]//Air and Waste Management Association's Annual Conference and Exhibition (AWMA), 2006: 1025.
    [6]
    Anderson K K, Tardiff M F, Chilton L K. Predicting the detectability of thin Gaseous plumes in hyperspectral images using basis vectors[J]. Sensors, 2010, 10(9): 8652-8662. doi:  10.3390/s100908652
    [7]
    Bendavid A, Ifarraguerri A I, Samuels A C. Correlation spectroscopy with diffractive grating synthetic spectra and orthogonal subspace projection filters[J]. Optical Engineering, 2003, 42(2): 325-333. doi:  10.1117/1.1531638
    [8]
    LI Jiakun, JIN Weiqi, WANG Xia, et al. MRGC performance evaluation model of gas leak infrared imaging detection system[J]. Optics Express, 2014, 22(S7): A1701- A1712. doi:  10.1364/OE.22.0A1701
    [9]
    李家琨, 金伟其, 王霞, 等.气体泄漏红外成像检测系统的性能测试方法研究[J]. 北京理工大学学报, 2016, 36(6): 630-634. http://www.cnki.com.cn/Article/CJFDTotal-BJLG201606015.htm

    LI Jiakun, JIN Weiqi, WANG Xia, et al. Research on performance testing method of gas leak infrared imaging detection system[J]. Journal of Beijing Institute of Technology, 2016, 36(6): 630-634. http://www.cnki.com.cn/Article/CJFDTotal-BJLG201606015.htm
    [10]
    ZHANG Xu, JIN Weiqi, LI Jiakun, et al. Minimum detectable gas concentration performance evaluation method for gas leak infrared imaging detection systems[J]. Applied Optics, 2017, 56(10): 2952-2959. doi:  10.1364/AO.56.002952
    [11]
    Holst G C. Electro-optical Imaging System Performance[M]. 5th ed: JCD Publishing, 2008: 316-381.
    [12]
    Holst G C. Testing and Evaluation of Infrared Imaging Systems[M]. 3rd ed: JCD Publishing, 2008: 307-318.
    [13]
    ASTM. Standard test method for minimum resolvable temperature difference for thermal imaging systems[S]. ASTM E 1213-97, 2009.
    [14]
    American Society for Testing and Materials. Standard test method for minimum detectable temperature difference for thermal imaging systems[S]. ASTM E 1311-89, 2010.
    [15]
    ZHANG X, JIN W, YUAN P, et al. Research on passive wide-band uncooled infrared imaging detection technology for gas leakage[C]//International Conference on Optical Instruments and Technology, 2019: doi: 10.1117/12.2542906.
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