Terahertz spectrum qualitative detection method for student school uniform textile material

Abstract

The invention discloses a terahertz spectrum qualitative detection method for a student school uniform textile material, which comprises the following steps: preparing different textile material experiment samples of a student school uniform, obtaining terahertz absorbance spectrums of different textile materials by using a terahertz time-domain spectroscopy system, and extracting feature information of a grey-scale map of the terahertz absorbance spectrums by using a Krawtchouk moment; combining an improved particle swarm algorithm with a support vector machine to establish a qualitative model, obtaining a classification identification model of different textile materials; collecting the textile materials on the school uniform, obtaining the feature information of the textile materials on the school uniform, and sending the feature information of the textile materials on the school uniform into the classification identification model of the corresponding textile materials for qualitative detection. The terahertz spectrum can be used for carrying out sexual detection on the textile material of the school uniform, so that the school uniform quality of primary and secondary school students is ensured, and primary and secondary school student safety incidents caused by the school uniform quality are avoided.

Description

technical field [0001] The invention relates to the technical field of textile material identification, in particular to a terahertz spectrum qualitative detection method for student school uniform textile materials. Background technique [0002] With the development of the textile industry, there are more and more varieties of blended fabrics and textile designs and colors. Different textiles have strict regulations on the types and contents of their textile materials. Especially in the clothing industry, illegal textile materials will cause different degrees of damage to the human body, especially in recent years because of the types of textile materials used in school uniforms for primary and middle school students. Quality problems caused by non-compliance with standards have occurred frequently. In order to ensure the product quality of students' school uniforms, it is often necessary to identify various types of fiber materials in the factory production and school acc...

AI Technical Summary

Problems solved by technology

[0004] What the present invention aims to solve is the problem that the existing textile detection method has a complicated experimental process and needs to rely on professional experimenters to realize it. It provides a qualitative detection method of terahertz spectrum for student school uniform textile materials, so as to physically identify the textile materials of student school uniforms. , to ensure the product quality of student uniforms

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