Research on FTIR greenhouse gas detection system based on partial least square method
In recent years,the rapid development of society has greatly increased the efficiency of energy utilization,and the emission of carbon dioxide(CO2)and other gases has triggered the greenhouse effect.The prevention and control of environmental pollution has become the focus of attention,and the realization of efficient detection of the concentration of major greenhouse gases has become a top priority.In this paper,the concentration detection of main greenhouse gases(CO2,CH4 and N2 O)is realized based on Fourier transform infrared spectroscopy technology.Combined with the concentration inversion idea of partial least square(PLS)method,the absorption spectra of the measured gases are quantitatively analyzed,and the fitting relationship between the predicted concentration and the actual concentration of the simulation model is established.The experimental results show that the linear correlation coefficient is close to 1,which verifies the effectiveness of the algorithm.At the same time,CO2 as the sample gas,the performance index of the system was tested several times.The test results show that the system has good performance and meets the experimental conditions.
Fourier transform infrared spectroscopypartial least square methodconcentration inversiongreenhouse gas
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