近红外光谱成像系统在液体安检中的应用

黄立贤; 李大鹏; 吴凡; 沈志学; 曹宁翔; 段佳著; 王海峰

doi:10.11884/HPLPB201830.170180

近红外光谱成像系统在液体安检中的应用

doi: 10.11884/HPLPB201830.170180

中国工程物理研究院流体物理研究所, 四川绵阳 621900

基金项目:

国家自然科学基金项目 61575179

详细信息

作者简介:
黄立贤(1985－), 男，硕士，助理研究员，从事多光谱成像技术研究；huanglixian175@163.com

中图分类号: O433;TP731
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- 被引次数: 0
出版历程
- 收稿日期: 2017-05-18
- 修回日期: 2017-09-12
- 刊出日期: 2018-01-15

Near infrared multi-spectral imaging system for flammable liquid detection

Institute of Fluid Physics, CAEP, P. O. Box 919-988, Mianyang 621900, China

摘要

摘要: 易燃易爆液体的实时、远程和动态探测对于保障公共安全具有重要意义，在公安、民航和海关等领域应用前景广阔。研制了基于液晶可调滤光片的近红外光谱成像系统，通过波长优选算法大幅降低了光谱通道数，有效提高了扫描成像速度和数据处理速度，可实现对低速运动的液体危险品的远程和实时检测。利用该系统开展了不同环境下对易燃易爆液体的检测实验，结果表明该系统对静态目标检测精度为100%，对速度小于0.2 m/s的运动目标检测精度高于95%。
- 多光谱成像 /
- 液体危险品 /
- 安全检测 /
- 液晶可调滤光片 /
- 远程动态监测
Abstract: The flammable liquid detection, especially the emote flammable liquid dynamic monitoring, is of great importance to public security, customs and civil aviation. Hence, a near infrared (NIR) multi-spectral imaging system based on liquid crystal tunable filter was developed. To increase the speed of scanning imaging and data processing, the number of spectral channel was reduced remarkably by band selection method. The experiment of flammable liquid detection by the system was carried out in different environments, and the result show that the detection accuracy of the system is 100% when the object was motionless, and it is more than 95% when the movement speed of object was less than 0.2 m/s.
- multi-spectral imaging /
- flammable liquid /
- safety detection /
- liquid crystal tunable filter /
- remote dynamic monitoring

HTML全文

图 1 近红外LCTF

Figure 1. NIR liquid crystal tunable filterl (LCTF)

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图 2 近红外光谱成像系统

Figure 2. NIR imaging spectrometer

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图 3 四种液体样品的反射率曲线

Figure 3. Reflectance curve of four liquid samples

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图 4 识别准确率与波段数的关系

Figure 4. Relationship between recognition accuracy and band number

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图 5 软件流程图

Figure 5. Software flowchart

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图 6 四种液体样品静态识别结果

Figure 6. Static identification results of four liquid samples

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图 7 室外测试结果软件截图(左为橙汁、右为汽油)

Figure 7. Screenshot of software (orange juice on the left and gasoline on the right)

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表 1 含氢基团在近红外波段吸收谱带的中心位置

Table 1. Central position of hydric groups in near infrared (NIR) absoption spectrum

hydric group	central position/nm
hydric group	scaling vibration base frequency	bending vibration base frequency	combined frequency	double frequency	triple frequency	quadruplicated frequency
C－H	3400	7000	2400	1750	1300	930
N－H	3000	6250	2300	1650	1100	780
O－H	2840	7800	1900	1500	980	730

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表 2 近红外光谱成像系统指标

Table 2. Specifications of NIR imaging spectrometer

spectral range /nm	spectral resolution /nm	number of channels	volume /cm³	weight /kg	detection range /m
900~1700	20	1~40	40×18×18	3	1~10

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表 3 液体样品识别准确率统计结果

Table 3. Statistical results of accuracy of liquid sample recognition

sample movement speed/(m·s^-1)	times of unidentification when carrying flammable liquid (in 50 times)	times of false alarm with water and beverage (in 50 times)	accuracy /%
0.1	2	0	98
0.2	4	1	95
0.3	14	4	82

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