计算机辅助配棉技术研究进展  

Research progress in computer aided cotton blending technology

作　　者：王梦蕾[1] 王静安 高卫东[1] WANG Menglei;WANG Jing′an;GAO Weidong(Key Laboratory of Eco-Textiles(Jiangnan University),Ministry of Education,Wuxi,Jiangsu 214122,China)

机构地区：[1]生态纺织教育部重点实验室(江南大学),江苏无锡214122

出　　处：《纺织学报》2023年第8期225-233,共9页Journal of Textile Research

基　　金：中央高校基本科研业务费专项资金项目(JUSRP121030);江苏省基础研究计划自然科学青年基金项目(BK200221061)。

摘　　要：为探索计算机辅助配棉技术的未来发展,促进棉纺企业精细化管理水平与生产效益的提升,介绍了计算机辅助配棉的系统框架,围绕其中技术模块及技术内涵,总结与分析了其发展应用情况。针对计算机辅助配棉过程中的2个关键模块—纱线质量预测、配棉方案制定所采用的核心技术作了重点解析,并指出联通云端市场数据、适应企业个性化生产模式是未来的发展方向。当前研究对大数据的处理效率以及对生产模式普适性还需进一步提升,同时需从特征表达、模型结构、优化算法方面探索提高模型高效性、准确性和泛用性的方法。Significance Computer-aided cotton blending integrates advanced intelligent technology and traditional manufacturing,which is an important foothold of intelligent transformation of textile industry.The"Fourteenth Five-Year Plan"for developing the textile industry and demand for intelligent textile manufacturing call for comprehensively accelerating the industry′s digital transformation,optimizing the production process,improving production efficiency,and achieving lean manufacturing.The textile industry′s intelligent infrastructure has received a lot of attention during the"Thirteenth Five-Year Plan"period.Many technically advanced raw cotton information platforms and production information systems have emerged,gathering a sizable amount of raw cotton sales and public inspection data on the supply side of the raw cotton,and forming an internal enterprise including procurement,inventory,process,scheduling,products,sales and other dimensions of Standardized production data,constituting a sizable set of"supply and production"big-data system.For the intellectual development of China′s cotton spinning firms,it is now imperative to find a way to maximize the value of supply and production data and to investigate intelligent management technologies that can significantly boost production efficiency and process level.Progress The system framework of computer-aided cotton blending is introduced,and its development and application are summarized and analyzed around technical modules and technical connotations,in order to explore the future development of computer-aided cotton blending technology and promote the improvement of advanced management level and production efficiency of cotton spinning enterprises.The current research on intelligent raw cotton management aims to solve the optimization of raw cotton usage,which mainly includes the yarn quality prediction model and the cotton blending optimization model.(1)The yarn quality prediction model methods use supervised machine learning models such as multiple linear

关 键 词：计算机辅助配棉 纱线质量预测 机器学习 优化算法 产业互联 

分 类 号：TS111.8[轻工技术与工程—纺织材料与纺织品设计]