Near-infrared spectrum analysis method for fiber content of textile product

Abstract

The invention discloses a near-infrared spectrum analysis method for the fiber content of a textile product. The near-infrared spectrum analysis method comprises: 1) pre-treating a sample: taking a plurality of textile samples, dividing into calibration set samples, verification set samples and samples to be detected, and determining content reference values; 2) carrying out sample preparation treatment: carrying out crushing treatment, and respectively preparing corresponding fiber cakes; 3) collecting spectral data; 4) establishing a calibration model: associating the calibration set spectral data matrix with the content reference value matrix to establish a correction model; and 5) calculating the result: substituting the spectral data of the sample to be detected in the step 3) into the calibration model, and calculating the fiber content of the sample to be detected so as to obtain the near-infrared determination result of the sample to be detected. The analysis method of the invention has advantages of rapidness, high efficiency, time saving, labor saving and high accuracy of the detection result.

Description

technical field [0001] The invention relates to the technical field of textile fiber content determination, in particular to a near-infrared spectral analysis method for textile fiber content. Background technique [0002] With the continuous improvement of people's living standards, there are more and more requirements for textiles. In order to continuously meet people's various needs, the types of textile raw materials are also constantly increasing. During the production, sales / testing of textiles, the first thing to consider is the fiber type and composition in the fabric. Whether it is textile production or trade, the qualitative identification and quantitative analysis of textile fibers are often the first concerns of people. What kind of raw materials to use and what is the input ratio of raw materials are often the first issues that organizations and producers must consider. In trade, the labeling of clothing fiber content is inaccurate, which reflects the lack of ...

AI Technical Summary

Problems solved by technology

Testing institutions urgently need to promote the application of this technology, but the following problems arise in the application: some samples can be measured accurately, and some samples can not be measured accurately

Although the above method can qualitatively or quantitatively identify the properties of the detected fiber, it has high requirements for the sample, and there is a large error in the prediction result of the content of the inhomogeneous fabric, so that this technology cannot be applied to the detection work. to go

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