Share Email Print
cover

Proceedings Paper

Application of spectral droplet analysis method in flammable liquids identification
Author(s): Haixiu Chen; Zhenlin Hu; Peng Wang; Weihua Xu; Yan Hou
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Personal safety in public places has become the primary demand of modern people's social life, and the detection of dangerous liquids is a key technology in the field of security inspection. The spectral drop analysis method is used to study the identification of flammable liquids in this paper. The spectral droplet analysis system is constructed with the fiber-capacitance drop sensor and spectrometer, and through the combination of signal processing circuit and the acquisition software, the experimental platform is designed. Experiments with typical liquid samples are completed and the three-dimensional fingerprints of the samples are obtained. And the characteristic values of liquid samples are extracted after data processing, the methods of rapid identification of flammable liquids based on spectral and drop fingerprint information are researched. With the spectral information, the characteristic wavelength points are selected to extract the characteristic parameters of the sample using the principal component analysis method. And the discriminant prediction models are established by distance discrimination, Bayes discriminant and Fisher discriminant. With the drop fingerprint data, the characteristic parameters are extracted with waveform analysis method, and then the extreme learning machine algorithm is used to build classification and identification model. The experimental results show that it is feasible to identify flammable liquids by spectral droplet analysis method.

Paper Details

Date Published: 12 March 2020
PDF: 6 pages
Proc. SPIE 11436, 2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 1143609 (12 March 2020); doi: 10.1117/12.2542995
Show Author Affiliations
Haixiu Chen, Nanjing Univ. of Information Science & Technology (China)
Zhenlin Hu, Nanjing Univ. of Information Science & Technology (China)
Peng Wang, Nanjing Univ. of Information Science & Technology (China)
Weihua Xu, Nanjing Univ. of Information Science & Technology (China)
Yan Hou, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 11436:
2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications
Xuping Zhang; Hai Xiao, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray