Support vector regression-based study of interference in absorption spectral lines of mixed gases

Abstract

When measuring the concentration of multi-component gas mixtures based on supercontinuum laser absorption spectroscopy (SCLAS), there are interferences between the absorption spectral lines. For the spectral interference problem of CO₂ and CH₄ at 1 432 nm, a method based on support vector regression (SVR) is proposed in this paper. The SVR model, the k-nearest neighbor (KNN) model and the least squares (LS) model are used to analyze and predict the absorption spectral data, and the prediction accuracies were 96.29%, 88.89% and 85.19%, respectively, with the highest prediction accuracy of the SVR model. The results show that the method can accurately measure the concentration of gas mixtures, realize the detection of mixed gases using a single waveband, and provide a solution to the overlapping spectral line interference of multi-component gas mixtures.

References

[1] TORABZADEHM, STOCKTONP A, TROMBERGB J, et al.. Hyperspectral characterization of tissue simulating phantoms using a supercontinuum laser in a spatial frequency domain imaging instrument[J]. Design and quality for biomedical technologies, 2018, XI: 10486

[2] BORONDICSF, JOSSENTM, SANDTC, et al.. Supercontinuum-based Fourier transform infrared spectromicroscopy[J]. Optica, 2018, 5(4):378-381

[3] JINW L, CAON L, ZHUM D, et al.. Non-destructive classification of rice seed vigor based on near-infrared ultra-continuous laser spectroscopy[J]. Chinese optics, 2020, 13(05):1032-1043(in Chinese)

[4] LIH L, JIAY Q, DIS, et al.. Comparative study of CO₂measurements with tunable and ultra-continuous spectrum lasers[J]. Laser journal, 2020, 41(05):23-27(in Chinese)

[5] MARTINV J A, GALLEGOSA E, SIERRAH J M, et al.. All single-mode-fiber supercontinuum source setup for monitoring of multiple gases applications[J]. Sensors, 2020, 20(11):3239

[6] DONGM, ZHONGG Q, MIAOS Z, et al.. CO and CO₂dual-gas detection based on mid-infrared wideband absorption spectroscopy[J]. Optoelectronics letters, 2018, 14(02): 119-123

[7] ADAMUA I, DASAM K, BANGO, et al.. Multispecies continuous gas detection with supercontinuum laser at telecommunication wavelength[J]. IEEE sensors journal, 2020, 20(18):10591-10597

[8] SONGL M, GUOS Q, YANGY G, et al.. Quantitative analysis of multicomponent mud logging gas based on infrared spectra[J]. Optoelectronics letters, 2019, 15(04):312-316

[9] LIH L, DIS, LVW J, et al.. Research on the measurement of CO₂ concentration based on multi-band fusion model[J]. Applied physics B, 2021, 127(1):1-7

[10] JAVED U, RAMAIYAN K P, KRELLER C R, et al. Quantification of gas concentrations in NO/NO₂/C₃H₈/NH₃mixtures using machine learning[J]. Sensors and actuators: B chemical, 2022, 359.

[11] HUANGX B, JIANGW T, ZHUY C, et al.. Transformer fault prediction based on time series and support vector machines[J]. High voltage engineering, 2020, 46(07):2530-2538(in Chinese)

[12] MOHANDA D, OUSSAMAD, NICOLASM, et al.. A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture[J]. Applied intelligence, 2022, 52: 6065-6078

[13] PAYNTERR W. Modification of the Beer-Lambert equation for application to concentration gradients[J]. Surface & interface analysis, 2010, 3(4):186-187

[14] ZHANGS Q, CAIL, ZHANGZ. Ultra-continuous spectrum laser beam quality characteristics[J]. Infrared and laser engineering, 2014, 43(05):1428-1432(in Chinese)

[15] ZHANGH X, ZHENGL, HUANGC. A wavelength demodulation method for fibre Bragg grating sensors[J]. Journal of Tianjin University, 2012, 45(02):111-115(in Chinese)

[16] LIH L, DIS, LIW D, et al.. Measurement of CO₂ concentration based on supercontinuum laser absorption spectroscopy[J]. Optoelectronics letters, 2021, 17(03):176-182