Method for extracting characteristics of infrared spectrum and identifying samples

An infrared spectrum and feature extraction technology, applied in the field of infrared spectrum analysis, can solve the problems of large amount of data and high time cost, and achieve the effects of fast speed, stable features, and high identification accuracy

Active Publication Date: 2014-06-11
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It mainly solves the technical problems of large data volume and high time cost in the existing infrared spectroscopy analysis method

Method used

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  • Method for extracting characteristics of infrared spectrum and identifying samples
  • Method for extracting characteristics of infrared spectrum and identifying samples
  • Method for extracting characteristics of infrared spectrum and identifying samples

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0070] Example 1, identification of fake wine

[0071] The sample is Yingjia Samsung, with 50 real wines and 50 fake wines from different batches. The identification steps are as follows:

[0072] 1. The selected instrument is Nexus670 from Nicholas Instrument Company of the United States, and the Nexus smart APK is attached.

[0073] 2. Infrared spectrometer parameter setting: wave number: 4000-650cm -1 ; Resolution: 8cm -1 ; Repeat the scan times 16 times.

[0074] 3. Take a small amount of sample with a disposable straw, spread it evenly on the zinc germanide crystal, and place the experimental plate on the designated position of the infrared spectrometer for detection. After a sample is tested, take the experimental plate out of the instrument, repeat the steps of rinsing with distilled water-wiping with absolute ethanol-drying-smearing the sample-testing, and a total of 50 infrared spectra corresponding to the three-star samples are collected, and Infrared spectra co...

example 2

[0081] Example 2: Identification of vintage wine

[0082] The samples are the 15-year Yellow Crane Tower and the 12-year Yellow Crane Tower. The identification steps are as follows:

[0083] 1. The infrared spectrum signal acquisition process is the same as in Example 1, and the infrared spectra of 50 samples of wines of two years are respectively collected. see Figure 5 , which shows the infrared spectra of the 15-year-old Yellow Crane Tower and 12-year-old Yellow Crane Tower wine samples.

[0084] 2. Extract features: use the sym4 wavelet filter to decompose the signal, and the filters are:

[0085] h 0 ={-0.0758 -0.0296 0.4976 0.8037 0.2979 -0.0992 -0.0126 0.0322}

[0086] h 1 ={-0.0322 -0.0126 0.0992 0.2979 -0.8037 0.4976 0.0296 -0.0758}

[0087] Decompose 4 layers, characterized by:

[0088] ( H i ( 272 ) ...

example 3

[0090] Example 3: Identification of milk powder

[0091] The samples were whole milk powder and skim milk powder. The identification steps are as follows:

[0092] 1. Select the instrument Nexus670 from Nicholas Instrument Company of the United States, and the tabletting accessories.

[0093] 2. Infrared spectrometer parameter setting: wave number: 4000-650cm -1 ; Resolution: 8cm -1 ; Repeat the scan times 16 times.

[0094] 3. Test the infrared spectra of 50 samples of whole milk powder and skimmed milk powder by tablet method. see Figure 7 , which shows the infrared spectra of whole milk powder and skim milk powder samples.

[0095] 4. Extract features: use the db4 wavelet filter to decompose the signal, and the filters are:

[0096] h 0 ={-0.0106 0.0329 0.0308 -0.1870 -0.0280 0.6309 0.7148 0.2304}

[0097] h 1 ={-0.2304 0.7148 -0.6309 -0.0280 0.1870 0.0308 -0.0329 -0.0106}

[0098] Decompose 4 layers, characterized by:

[0099] ( ...

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Abstract

The invention discloses a method for extracting characteristics of an infrared spectrum and identifying samples. The method comprises the following steps: collecting infrared spectrum signals of training samples by using an infrared spectrometer; extracting different frequency components of the infrared spectrum signals by using wavelet decomposition, setting a peak ratio of a special frequency as a characteristic and training the characteristic by classifying to obtain a classifier; collecting infrared spectrum signals of samples to be detected to obtain characteristics of the samples to be detected by using the same set rule, feeding the characteristics of the samples to be detected into the classifier, calculating and analyzing and then indentifying the samples to be detected. The method for extracting characteristics of the infrared spectrum and identifying samples has the advantages that an infrared spectrum characteristic extracting method based on wavelet decomposition is provided; when used for identifying the samples, the method is high in accuracy, quick in speed and stable in characteristic.

Description

technical field [0001] The invention belongs to an infrared spectrum analysis method, in particular to a method for decomposing infrared spectrum signals and extracting features by using wavelet analysis. Background technique [0002] Infrared spectroscopy is a commonly used analysis method. Infrared spectroscopy has a wide range of applicability to samples. It can be applied to solid, liquid or gaseous samples, and can detect inorganic, organic and polymer compounds. In addition, infrared spectroscopy also has the characteristics of rapid testing, convenient operation, good repeatability, high sensitivity, less sample consumption, and simple instrument structure. Therefore, it has become the most commonly used and indispensable tool in modern structural chemistry and analytical chemistry. [0003] Traditional infrared spectroscopic analysis mainly analyzes substances through spectral absorption peaks, and judges the functional groups existing in substances, so as to judge t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3563G01N21/3577
Inventor 牟怿尤新革徐端全王同晖周龙曾武
Owner HUAZHONG UNIV OF SCI & TECH
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