大数据在纺织纤维成分检测中的应用  

Application of Big Data in Textile Fiber Composition Detection

作　　者：蔡水兰 林显河 CAI Shuilan;LIN Xianhe(Yuli Shengbang Quality Inspection(Shanghai)Co.,Ltd.,Shenzhen Branch,Shenzhen 518000,China;GRG Metrology&Test Group Co.,Ltd.,Guangzhou 510700)

机构地区：[1]优力胜邦质量检测(上海)有限公司深圳分公司,广东深圳518000 [2]广电计量检测集团股份有限公司,广州510700

出　　处：《纺织科技进展》2024年第11期34-36,共3页Progress in Textile Science & Technology

摘　　要：以大数据技术为背景,探讨大数据技术在纤维成分检测中的应用现状,通过大数据与人工智能结合在纤维成分检测中的实操案例,分析近红外纤维成分无损检测大数据的应用优势,对成分检测中存在问题进行梳理,对优化成分检测工作、管理和服务等方面提出有效建议,确保在大数据技术支持下相关工作能够高质量、高效率地推进,从而为企业创造更大的经济效益和社会价值。The current application status of big data technology in fiber composition testing was explored,based on the background of big data technology.Through practical cases of combining big data and artificial intelligence in fiber composition testing,the advan-tages of applying big data in near-infrared fiber composition non-destructive testing were analyzed.By sorting out the problems in composition testing and proposing effective suggestions for optimizing composition testing work,management,and services,it en-sures that relevant work can be promoted with high quality and efficiency under the support of big data technology,thereby creating greater economic benefits and social value for enterprises.

关 键 词：纤维成分 大数据 AI 近红外 

分 类 号：TS107[轻工技术与工程—纺织工程]