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Method of analyzing cotton content of textile based on improved DBN near infrared spectrum

A technology of near-infrared spectroscopy and textiles, which is applied in the direction of material analysis, material analysis, and measuring devices through optical means, can solve the problems of low accuracy and reliability of cotton content prediction, achieve good application prospects, improve training speed, The effect of improving accuracy and reliability

Inactive Publication Date: 2017-09-29
CHINA JILIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a method for measuring the cotton content of textiles based on improved DBN near-infrared spectroscopy, aiming to solve the problem of low accuracy and reliability in the prediction of cotton content in cotton polyester textiles in the prior art

Method used

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  • Method of analyzing cotton content of textile based on improved DBN near infrared spectrum
  • Method of analyzing cotton content of textile based on improved DBN near infrared spectrum
  • Method of analyzing cotton content of textile based on improved DBN near infrared spectrum

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Embodiment

[0042](1) Collect samples, collect near-infrared spectra of samples and physical and chemical data of samples; specifically: collect 308 blended samples from the market, the samples are in various states, the color is deep or light, dyed or printed, and the fabric is thick or thin , There are plain and twill, which are representative. Use the SupNIR-1100 near-infrared spectrometer to collect the spectral data of polyester-cotton textiles. The specific steps are as follows: After determining the fabric sample, fold the fabric sample, and perform Z-shaped folding according to the thickness of the fabric to ensure that the inner and outer surfaces of the fabric are not on the same surface. , which is convenient for detecting the front and back sides of the fabric; flatten the folded fabric sample; after collecting the reference spectrum, start to collect the diffuse reflectance spectrum of the sample, and collect the spectrum of the front and back sides of the fabric, so as to obt...

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Abstract

The invention discloses a method of analyzing cotton content of a textile based on an improved DBN near infrared spectrum. The method comprises the following steps: (1) collecting a sample and gathering the near infrared spectrum and the physical and chemical data of the near infrared spectrum; (2) pre-processing the acquired spectrum data to acquire pre-processed data; (3) establishing a quantitative analysis model by employing an improved deep brief network (DBN), and adjusting the network by means of a global learning algorithm to obtain the optimum textile cotton content quantitative analysis model; and (3) introducing the predicted data into the optimum textile cotton content quantitative analysis model for predicted analysis of the cotton content of the textile. The method disclosed by the invention can quickly determine the cotton content of the sample without loss, and applies the deep neural network into the field of detecting the cotton content of the near infrared spectrum textile, so that the detecting accuracy and reliability are improved.

Description

technical field [0001] The invention relates to the technical field of infrared non-destructive testing, in particular to a method for analyzing the cotton content of textiles based on the improved DBN near-infrared spectrum. Background technique [0002] Textiles are closely related to people's lives. With the improvement of living standards, the quality of textiles has gradually attracted people's attention. Quality issues related to textiles and clothing have become increasingly prominent, such as unclear ingredients and content labels, shoddy products, etc., deceiving consumers, not only affecting people's daily life, but also disrupting market order. Therefore, in order to prevent the confusion of textile content, the quality monitoring of textiles should be strengthened, which plays an important role in textile testing projects. [0003] Commonly used traditional detection methods are complicated to operate, time-consuming, labor-intensive, and costly, and cannot meet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563
Inventor 林敏李稳稳黄咏梅刘辉军
Owner CHINA JILIANG UNIV
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