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Infrared spectrum quantitative analysis method and infrared spectrum quantitative analysis device based on multi-scale regression

A technology of infrared spectroscopy and quantitative analysis, applied in the field of infrared spectroscopy quantitative analysis and devices based on multi-scale regression, can solve problems such as inaccurate extraction of spectral information, and achieve the effect of improving prediction accuracy and robustness

Inactive Publication Date: 2011-07-27
EAST CHINA JIAOTONG UNIVERSITY
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Problems solved by technology

[0005] In the process of rapid analysis of the components to be measured using infrared spectral analysis technology, in order to solve the problem of inaccurate extraction of spectral information

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  • Infrared spectrum quantitative analysis method and infrared spectrum quantitative analysis device based on multi-scale regression
  • Infrared spectrum quantitative analysis method and infrared spectrum quantitative analysis device based on multi-scale regression
  • Infrared spectrum quantitative analysis method and infrared spectrum quantitative analysis device based on multi-scale regression

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specific Embodiment approach

[0019] The specific embodiment will be described in conjunction with the following implementation examples. Taking the near-infrared spectrum of pears as an example, a multi-scale regression model was constructed for the sugar content index inside pears.

[0020] figure 1 Schematic diagram of the infrared spectroscopy quantitative analysis method and device for multi-scale regression, figure 2 It is a near-infrared spectrogram with a spectral range of 750-1800 nm, and each spectrum includes 1051 data points. All samples were divided into calibration set and test set according to the ratio of 2:1.

[0021] Decompose all samples by wavelet. When decomposing, we choose db4 wavelet base here, and the decomposition scale is from 1 to 20. image 3 Shown is a schematic diagram of the multi-scale partial least squares regression method. It can be seen from the figure that after the spectrum is reconstructed by wavelet decomposition, a series of sub-spectral signal matrices with th...

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Abstract

The invention relates to an infrared spectrum quantitative analysis method and an infrared spectrum quantitative analysis device based on multi-scale regression. The infrared spectrum quantitative analysis device comprises a spectrometer connected with a data signal wire, a preprocessor, a wavelet decomposition and reconfiguration processor, and a partial least-squares regression model integrator; and the infrared spectrum comprises a mid-infrared and near-infrared spectrum, with the wavelength range of 780nm to 5000nm. By wavelet decomposition and reconfiguration transformation, the multi-model establishment is realized; the difficulty of extracting the spectrum signal information by a single-model method is overcome; by independently determining factor quantity on different sub-models, the aim of sufficiently extracting effective information can be realized, and the prediction precision and stability of infrared spectrum analysis model can be improved.

Description

technical field [0001] The invention relates to an infrared spectrum quantitative analysis method and device, in particular to an infrared spectrum quantitative analysis method and device based on multi-scale regression. Background technique [0002] Because the spectral signal obtained by the spectrometer contains both useful information and other random errors (background and noise). Therefore, it is difficult to obtain a model with high prediction accuracy when using the partial least squares regression method for quantitative analysis. To improve the prediction accuracy of the partial least squares regression model, a lot of research work has been carried out, mainly including spectral preprocessing methods and variable screening methods, these methods have been successfully used in spectral background correction, noise removal, Elimination of non-informative variables. However, when using the above methods for information extraction, we often face the problem of insuf...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35G01N21/17G01N21/27G01J3/28G01N21/359
Inventor 郝勇
Owner EAST CHINA JIAOTONG UNIVERSITY
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