Infrared spectral recognition method based on water vapor residual spectrum analysis

Abstract

The invention specifically relates to an infrared spectral recognition method based on water vapor residual spectrum analysis, belonging to the technical fields of spectral measurement and spectral recognition. The infrared spectral recognition method comprises the following steps: generating a pure water vapor transmittance spectrum by using a molecule transmission and absorption database and meteorological parameters; subjecting the pure water vapor transmittance spectrum and a to-be-recognized measured infrared spectrum containing the absorption characteristics of an unknown compound to fitting, and deducting water vapor absorption spectra in the spectrum of the unknown compound waveband by waveband so as to obtain a residual spectrum; and carrying out preliminary peak searching and recognition on the residual spectrum to find out a peak position corresponding to the strongest absorption value of the residual spectrum in each waveband and comparing the peak positions with the molecular absorption peak of each compound in an infrared absorption characteristic database so as to obtain a possible compound component list. According to the invention, the pure water vapor transmittance spectrum is used for deduction of the water vapor absorption spectrum in the to-be-recognized spectrum, so errors of recognition results caused by water vapor are effectively avoided, the precisionof spectral recognition is improved, and rapid recognition of unknown compound components via infrared absorption spectra can be realized.

Description

technical field [0001] The invention belongs to the technical field of spectrum measurement and spectrum identification, and in particular relates to an infrared spectrum identification method based on water vapor residual spectrum analysis. Background technique [0002] With the progress of modern physics, chemistry and computer technology, especially the progress of surface physics, optics and electronics, various atmospheric environment monitoring technologies have been effectively developed. Among them, the optical and spectroscopic monitoring technology based on spectroscopy is an emerging technical means, and has become an ideal tool for environmental pollution monitoring due to its large-scale, multi-component detection, and continuous real-time monitoring methods. [0003] The main advantages of the atmospheric environment monitoring technology based on spectroscopy are: simultaneous monitoring of multiple components, non-contact online automatic monitoring; good sel...

AI Technical Summary

Problems solved by technology

The process of the artificial neural network identification method is relatively complicated, requiring a large number of sample collection, and then performing modeling, model verification, etc., which has poor robustness and fault tolerance.

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