Method and analyzer for analyzing and extracting characteristic contents of near-infrared small molecule trace gases

Abstract

The invention provides a method and an analyzer for analyzing and extracting the characteristic contents of near-infrared small molecule trace gases. The method comprises the steps of (1) selecting over-complete-based samples with lengths of greater than 2N within a full half-high width of a spectral line where a central wavelength is positioned, and selecting a group of samples with lengths of 2N from the over-complete-based samples; (2) calculating according to the length of a to-be-determined complete-based sample to obtain a weight truncation length LWT; (3) searching in the data of the samples with the lengths of 2N to obtain a maximum value, and defining the obtained maximum value to be maximum sample data A (LWT) of an interest sample A; (4) completing the change of base from one over-complete-based samples with the length of 2N to two complete-based samples with the lengths of N in a sample space. The method and the analyzer can be used for processing blind source over-complete-based data samples which are sampled at one time, and changing the blind source over-complete-based data samples into blind source complete-based data samples.

Description

technical field [0001] The invention relates to the technical field of gas detection, in particular to a method and analyzer for analyzing and extracting characteristic content of near-infrared small molecule trace gas. Background technique [0002] Compared with single-component spectral analysis, the spectral detection of multi-component near-infrared small molecule gases not only needs to select the detected spectral lines based on the principle of maximum absorption coefficient and non-overlapping absorption bands, but also comprehensively considers the absorption of other components of gases. The effect of spectral properties on the selected detection lines. Gases in the near-infrared band usually need to be detected at normal temperature and pressure. Then, in the measurement of multi-component gases, spectral line broadening and dense distribution make it difficult to achieve both line selection and no frequency band superposition. Many times, in the detected multi-...

AI Technical Summary

Problems solved by technology

Compared with the development of its detection technology, the research on the analysis and processing technology of multi-component spectral data is still very lagging behind, and the outstanding performance is: (1) the first component to be detected must be known; (2) whether it is used Linear equations or the least squares regression method, or other similar methods, need to measure a set of spectral data near the center wavelength of each component to be detected. For example, if there are 4 kinds of gas components to be analyzed, it is necessary to Near the central wavelength corresponding to each gas, four spectral data samples are sampled to obtain four sets of data to construct a linear equation system or matrix, and then use the corresponding algorithm to solve it; (3) and, (2) linear solution, directly Select the maximum value in the sample data as the true characteristic absorption value of the detected gas. Due to the existence of background noise and outliers, this determination is not scientific; (4) So far, in the near-infrared small molecule gas In the field of spectral detection, there is still a blank in the field of multi-component gas spectral analysis research using blind source hypercomplete base spectral data samples

[0004] Due to the serious overlapping and discontinuity of the near-infrared spectrum, it is difficult to directly extract information related to the content of the ingredients from the near-infrared spectrum of the substance, and it is also difficult to give a reasonable spectral analysis

Images