山羊绒与绵羊毛检测技术的研究进展  

Research progress on detection technology of cashmere and wool

作　　者：曹月婵 易宏 CAO Yuechan;YI Hong(Guangzhou Inspection Testing and Certification Group Co.,LTD,Guangzhou,Guangdong 511447,China)

机构地区：[1]广州检验检测认证集团有限公司,广东广州511447

出　　处：《中国纤检》2024年第8期34-39,共6页China Fiber Inspection

基　　金：国家市场监督管理总局科技项目“基于人工智能技术在纤维成分物理法检测的研究与应用”(2023MK145)。

摘　　要：山羊绒与绵羊毛因纤维外观形态极为相似导致出现难以准确鉴别的现象,因此,山羊绒与绵羊毛含量一直是研究的热点。本文从检测技术角度简述近年来山羊绒与绵羊毛检测鉴别方法中的显微镜法、化学检测法、生物检测法、近红外光谱法以及备受瞩目的人工智能图像识别法的进展,并重点对人工智能图像识别法中的卷积神经网络、支持向量机、K近邻算法和贝叶斯分类法的研究进展进行分析。同时,列举现有技术方法的检测标准、比较各方法的检验时效、检测成本和测试优缺点等,为各纺织检测机构、检测人员了解和选择合适的方法提供参考。The similarity in appearance between cashmere and sheep wool fibers has led to the phenomenon of difficulty in accurate differentiation.Therefore,the determination of the content of cashmere and sheep wool has always been a research hotspot.This article briefly summarizes the recent advances in detection and identification methods of cashmere and sheep wool from the perspective of detection technology,including microscopic method,chemical detection method,biological detection method,near-infrared spectroscopy method,and the emerging artificial intelligence image recognition method.The article focuses on the progress of convolutional neural networks,support vector machines,K-nearest neighbor algorithm,and Bayesian classification method in the research of cashmere and sheep wool within the artificial intelligence image recognition method.At the same time,the article lists the detection standards of existing technical methods,compares the inspection efficiency,detection costs,and advantages and disadvantages of each method,providing reference for textile testing institutions and personnel to understand and choose appropriate methods.

关 键 词：山羊绒 绵羊毛 检测 人工智能 图像识别 

分 类 号：F203[经济管理—国民经济] F426.86[轻工技术与工程—纺织工程] TS107[轻工技术与工程—纺织科学与工程]