| Citation: | WANG Guan-cheng, ZHAO Bai-xuan, ZHENG Kai-feng, CHEN Yu-peng, ZHAO Ying-ze, QIN Yu-xin, WANG Wei-biao, LIU Guo-hao, SHENG Kai-yang, LV Jin-guang, LIANG Jing-qiu. Research on high-precision gas concentration inversion based on adaptive infrared multi-band joint spectral analysis[J]. Chinese Optics. doi: 10.37188/CO.2024-0071
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Fourier transform spectroscopy (FTS) is an effective method for gas composition analysis and accurate measurement of concentration. However, in the process of analysis, the saturated absorption and weak absorption of the measured gas make the transmittance of some bands deviate from the stable range, which leads to the decrease of spectral signal-to-noise ratio and the nonlinear response of the instrument, and reduces the accuracy of concentration inversion.
In this paper, an adaptive multi-band joint concentration inversion algorithm is proposed, which combines the transmittance stable range and the spectral width threshold to adaptively select the effective band of the measured gas. The nonlinear least squares fitting method is used to invert the concentration of each effective band and the residual analysis is carried out to obtain the concentration inversion results and their weights of each effective band. The accurate quantitative analysis of the measured gas is realized by weighted average.
: The algorithm verification experiment is designed and carried out; the results show that the stability coefficient of the adaptive multi-band joint concentration inversion algorithm is 0.9976. Compared with the traditional single-band and multi-band concentration inversion algorithms, the root mean square error of the inversion results is reduced by 64.44% and 41.52%, the mean relative error is reduced by 65.97% and 46.72%, and the mean absolute error is reduced by 66.32% and 47.74% respectively,
the inversion accuracy and stability are significantly improved.
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