Infrared spectral analysis method

A technology of near-infrared spectroscopy and analysis methods, which is applied in the analysis of materials, material analysis by optical means, instruments, etc., can solve the problems of complex system and cumbersome interface, and achieve the effect of simple operation, simple interface and high wavelength efficiency.

Inactive Publication Date: 2016-02-17
SHANDONG UNIV
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Problems solved by technology

Most of the near-infrared spectral analysis software currently on the market is spectral analysis software for scientific research. The system is complex and the interface is cumbersome, and it is difficult for non-professionals to get started. Therefore, it is necessary to condense unnecessary spectral analysis processes and simplify the near-infrared spectral analysis process. Develop a set of near-infrared spectroscopy analysis methods and software suitable for the general public, which will help promote the development of near-infrared spectroscopy technology

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Embodiment

[0030] A near-infrared spectrum analysis method, the method uses the following modules: a preprocessing module, a characteristic wavelength selection module, a qualitative identification module and a quantitative regression module; the near-infrared spectrum analysis method includes steps as follows:

[0031] 1) Preprocessing operation: preprocessing the modeling samples and modeling spectra respectively;

[0032] 2) Extracting characteristic wavelengths: According to the difference between qualitative identification model and quantitative regression model, the method of extracting characteristic wavelengths is divided into qualitative model characteristic wavelength method and quantitative model characteristic wavelength method, wherein the qualitative model characteristic wavelength method includes MW-BP-ANN and average Influence value, quantitative model characteristic wavelength methods include MW-PLS, MW-BP-ANN and average influence value;

[0033] 3) Establish a qualitat...

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Abstract

An infrared spectral analysis method includes the following steps of preprocessing, feature wavelength extraction, qualitative recognition model building and quantitative regression model building, wherein quantitative regression model building is performed through a partial least square quantitative regression method and a BP neural network quantitative regression method. A new feature wavelength selection method and a qualitative mode recognition method are disclosed, and traditional tedious spectral analysis content suitable for professionals to use is abandoned. Feature spectral wavelength extraction efficiency is high, and a mathematical analysis model can be efficiently and accurately built. An interface is simple, operation is easy, universality is high, and the method can be easily and quickly learned and mastered by nonprofessionals.

Description

Technical field: [0001] The invention relates to a near-infrared spectrum analysis method, which belongs to the technical field of spectrum analysis. technical background: [0002] In recent years, the organic combination of near-infrared spectroscopy and chemometrics has given birth to modern near-infrared spectroscopy analysis technology, which is the fastest-growing spectral analysis technique since the 1990s and is known as the giant of analysis. Due to a series of characteristics such as rapid analysis, non-destructive testing, and high precision, near-infrared spectroscopy has shown strong application prospects in the fields of petrochemical, process control, environmental science, and precision agriculture. [0003] The combination of stable and reliable near-infrared spectral analysis instruments and comprehensive near-infrared spectral analysis methods is an important symbol of modern near-infrared spectral analysis technology. Pure near-infrared spectral data has ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 王丽丽庄新港
Owner SHANDONG UNIV
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