Piecewise two-point correlation self linear spectrum baseline correction method

Abstract

The invention discloses a piecewise two-point correlation self linear spectrum baseline correction method which comprises the following steps: step one, spectrum ranges which are non-sensitive to all target components or very low in sensitivity to all the target components as non sensitive areas are determined; step two, a transmittance spectra value mean value of each non sensitive area is respectively calculated, spectral line a which is most close to the corresponding transmittance spectra value mean value in each non sensitive area is determined, and a spectra value of the spectral line a is determined; step three, two adjacent spectral lines a are selected respectively, a baseline correction constant value and a correlation coefficient of a region between the two adjacent spectral lines a are calculated; baseline correction constant values and correlation coefficients of two end regions are consistent with that of an adjacent area. The piecewise two-point correlation self linear spectrum baseline correction method can improve the accuracy of spectrum qualitative and quantitative analysis, improves the recognition accuracy of the components in spectral analysis, saves time and labor, and reduces technical requirements of spectral operators or analysts.

Description

technical field [0001] The invention belongs to the technical field of spectrum analysis and measurement, and in particular relates to a segmented two-point correlation self-linear spectrum baseline correction method. Background technique [0002] Fourier Transform Infrared Spectroscopy (FTIR) is an analytical technique emerging in the 1980s. It is widely used in petroleum, chemical industry, environment, space technology, resource exploration and other fields for qualitative and quantitative analysis of the molecular structure and content of substances. . However, the spectrometer is an optical instrument, which involves many parts, which are easily affected by environmental factors, such as small changes in environmental temperature, humidity and vibration, which will cause the collected interferogram and spectrogram to fluctuate and drift; Spectral baseline drift and even nonlinear distortion are prone to occur during long-term continuous work, resulting in large deviati...

AI Technical Summary

Problems solved by technology

However, in industrial sites, especially in real-time applications, it is difficult to perform baseline correction on the original spectra one by one in the face of massive data. At the same time, if the background scan is performed again, the data acquisition of the instrument must be stopped, resulting in the interruption of real-time data acquisition. will cause huge economic losses

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