Abstract

Based on the characteristics of optical absorption gas sensing technology (OA-GST) and spatial heterodyne spectroscopy (SHS), a novel type of visual gas sensing technology (V-GST) can present the invisible gas information in the form of two-dimensional visual fingerprint, which has attracted people's attention. In this paper, we have realized the NO2 detection of V-GST in the laboratory environment for the first time. Experimental results show that: V-GST not only has different interferogram response to different spectra, but also has good response to different concentrations of NO2, which lays a foundation for the application of this technology in gas sensing. And the average classification recognition rate of the system for different band NO2 response data is over 80%, which verifies the effectiveness of the V-GST in gas detection.

Highlights

  • Each set of experiment in “Experiment” section was repeated 80 times, and a series of images were collected

  • Overall recognition rate of CC algorithm is higher than that of Euclidean distance to centroids (EDC) algorithm; 3 The classification accuracy of Gabor algorithm is higher than that of Gray-Level Co-occurrence Matrix (GLCM) and local binary pattern (LBP), and the classification accuracy reaches more than 95%, which shows that Gabor feature extraction is the best algorithm for this system

  • In order to verify the effectiveness of the V-GST, the theoretical model of V-GST was constructed, a V-GST experimental platform was built, and the visual transmittance maps of ­NO2 with different concentrations and different spectra were collected, thirdly the typical feature extract, PCA and classification algorithms were chosen to process the response data

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Summary

Theoretical model of visual gas sensing technology

The novel visual gas sensing mechanism is combining the basic principles of OA-GST15 with wide spectral spatial heterodyne spectrometer (WS-SHS)[19,20]. Where σ is the characteristic wavenumber of the test gas, Bin(σ ) is the input spectrum, Bout(σ ) is the absorption spectrum, α(σ ) is the absorption coefficient which reflects the characteristics of gas, C is the concentration of the test gas, L is the effective optical path. Another core component WS-SHS is used to present the sensing spectrum of test gas into 2D response interferogram. According to the theoretical basis of spectral analysis technology, the above principle can be used as the gas sensing mechanism of the V-GST

Experimental platform of visual gas sensing technology
Class SoG Contrast
Conclusion
Findings
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