摘要
随着人们对运动健康的重视,速干衣作为运动装备的重要组成部分,其材质的性能对运动效果和舒适度具有显著影响。传统的速干衣材质检测方法往往依赖于物理和化学性能测试,难以全面反映材料的微观结构和组成特征。本文提出了一种基于显微拉曼光谱技术的运动速干衣材质检测方法,旨在通过高分辨率的光谱分析,深入探讨速干衣材料的化学成分及其分子结构特性。首先,对速干衣常用材料进行拉曼光谱测试,提取特征峰并进行谱峰分析。其次,建立基于广义回归神经网络分类模型,并通过混淆矩阵评价模型分类精度。最后,选取市场上不同品牌的速干衣进行测试,检验模型的分类效果。结果表明,显微拉曼光谱技术结合GRNN算法可识别出速干衣材料的主要成分,识别率为100%。研究结果显示,显微拉曼光谱技术作为一种高效、准确、无损伤的检测手段,结合GRNN算法为运动装备的材料分析提供了一种新思路,具有重要的理论意义和实际应用价值,为运动速干衣材质识别提供一种高效、准确、无损的分析手段。
With people’s attention to sports health as an essential part of sports equipment,the performance of fast-drying clothes material significantly impacts sports effect and comfort.The traditional material testing methods for quick-drying clothes often rely on physical and chemical properties testing,making it challenging to fully reflect the microstructure and composition characteristics of materials.This paper proposes a micro Raman spectroscopy-based material detection method for fast-drying clothes.The purpose is to explore fast-drying clothes’chemical composition and molecular structure characteristics through high-resolution spectral analysis.Firstly,the Raman spectra of common materials of quick-drying clothes were tested,and the characteristic peaks were extracted and analyzed.Secondly,the classification model based on a generalized regression neural network is established,and its classification accuracy is evaluated using a confusion matrix.Finally,different brands of quick-drying clothes on the market are selected to test the model’s classification effect.The results show that micro Raman spectroscopy combined with the GRNN algorithm can identify the main components of fast-drying clothing materials.The results show that micro Raman spectroscopy technology,as an efficient,accurate,and non-destructive detection method,combined with the GRNN algorithm,provides a new idea for the material analysis of sports equipment,which has important theoretical significance and practical application value and provides an efficient,accurate and nondestructive analysis method for the material identification of sports fast drying clothes.
作者
刘甘霖
祝志学
何晓霖
LIU Ganlin;ZHU Zhixue;HE Xiaolin(Department of Physical Education,Henan Polytechnic Institute,Nanyang 473000,China;School of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450000,China;China Electronics Technology Group Corporation Electronic Science Research Institute,Beijing 100041,China)
出处
《光散射学报》
北大核心
2025年第4期636-642,共7页
The Journal of Light Scattering
基金
国家自然科学基金(12001496)。
关键词
运动速干衣
拉曼光谱
成分分析
分类模型
Sports fast-drying clothes
Raman spectroscopy
Composition analysis
Classification model
