[1]秦 超,张 旭,袁 盼,等.气体泄漏热成像检测系统性能的多指标测试评价系统[J].红外技术,2020,42(12):1134-1140.[doi:doi:10.11846/j.issn.1001_8891.202012002]
 QIN Chao,ZHANG Xu,YUAN Pan,et al. Multi-index Test Evaluation System for Performance of Gas Leak Thermal Imaging Systems [J].Infrared Technology,2020,42(12):1134-1140.[doi:doi:10.11846/j.issn.1001_8891.202012002]
点击复制

气体泄漏热成像检测系统性能的多指标测试评价系统
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
42卷
期数:
2020年第12期
页码:
1134-1140
栏目:
出版日期:
2020-12-22

文章信息/Info

Title:
 Multi-index Test Evaluation System for Performance of
Gas Leak Thermal Imaging Systems
文章编号:
1001-8891(2020)12-1134-07
作者:
秦 超张 旭袁 盼金伟其李 力王 霞
北京理工大学 光电成像技术与系统教育部重点实验室,北京 100081
Author(s):
QIN ChaoZHANG XuYUAN PanJIN WeiqiLI LiWANG Xia
MoE Key Lab of Photoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, China
关键词:
气体泄漏热成像检测性能评价测试系统
Keywords:
gas leak thermography performance evaluation test system
分类号:
TN219/TN216
DOI:
doi:10.11846/j.issn.1001_8891.202012002
文献标志码:
A
摘要:
目前针对气体泄漏热成像检测系统性能的相关评价技术还不够成熟,相应评价指标的测试系统及其测量方法尚无系统的研究报道。而常规热成像系统的性能评价方法难以直接用于评价气体泄漏热成像检测系统对泄漏气体的探测能力,本文结合泄漏气体特性及各测试系统的特点,设计了一种可测量多类性能指标的气体泄漏热成像检测系统性能的测试评价系统,并以乙烯和甲烷气体为检测目标在实验室环境中分别对NECL、MRGC和MDGC三种评价指标进行了实验测量,结果表明了测试评价系统的可行性和实用性。
Abstract:
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.

参考文献/References:

[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.
[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.
[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.
[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.
[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.
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.
[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.
[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.

相似文献/References:

[1]王斯博,杨春玲.基于RX算法的高光谱红外弱小目标检测[J].红外技术,2010,32(4):204.
 WANG Si-bo,YANG Chun-ling.Detection of Dim Small Target Based on RX algorithmfor Hyperspectral IR Imagery[J].Infrared Technology,2010,32(12):204.
[2]薛晶晶,白廷柱,汪岳峰,等.基于四叉树分解方法的伪装网光学隐身性能评价[J].红外技术,2007,29(7):377.
 XUE Jing-jing,BAI Ting-zhu,WANG Yue-feng,et al.Camouflage Assessment Based on Quan-Tree Division Algorithm[J].Infrared Technology,2007,29(12):377.
[3]田留德,刘朝晖,赵建科,等.红外热像仪MRTD测试方法研究[J].红外技术,2015,37(五):368.[doi:10.11846/j.issn.1001_8891.201505003]
 TIAN Liu-de,LIU Chao-hui,ZHAO Jian-ke,et al.Measurement Method for MRTD of Infrared Imaging System[J].Infrared Technology,2015,37(12):368.[doi:10.11846/j.issn.1001_8891.201505003]

备注/Memo

备注/Memo:
 收稿日期:2020-07-03;修订日期:2020-09-09.
作者简介:秦超(1995-),男,湖南人,硕士研究生,主要从事气体泄漏红外成像检测技术研究。E-mail:407394833@qq.com。
通信作者:金伟其(1961-),男,上海人,教授,博士生导师,博士,主要从事夜视与红外技术、光电图像处理、光电检测与仪器等方面的研究工作。E-mail:jinwq@bit.edu.cn。
基金项目:北京市科委计划项目(Z171100002817011)。
更新日期/Last Update: 2020-12-21