数字孪生视角下的智能纺纱应用探索  

Exploring intelligent spinning applications from the perspective of digital twins

作　　者：陈明亮 章军辉 钱宇晗 刘禹希 刘俊泽 CHEN Mingliang;ZHANG Junhui;QIAN Yuhan;LIU Yuxi;LIU Junze(School of Electrical and Automatic Engineering,Changshu Institute of Technology,Suzhou 215500,China;Wuxi Internet of Things Innovation Center Co.,Ltd.,Wuxi 214029,China;Institute of Microelectronic Technology of Kunshan,Suzhou 215347,China;Jiangsu Internet of Things Innovation Center Kunshan Branch,Suzhou 215347,China)

机构地区：[1]常熟理工学院电气与自动化工程学院,江苏苏州215500 [2]无锡物联网创新中心有限公司,江苏无锡214029 [3]昆山微电子技术研究院,江苏苏州215347 [4]江苏省物联网创新中心昆山分中心,江苏苏州215347

出　　处：《现代纺织技术》2025年第2期90-99,共10页Advanced Textile Technology

基　　金：江苏省博士后科研资助计划项目(2020Z411)。

摘　　要：为了加快新质生产力发展,助推传统纺纱行业高质量转型,对数字孪生技术在纺纱领域的应用进行了积极探索。首先,概述了纺纱智能化的发展现状,揭示了当前面临的技术瓶颈与挑战,并强调了数字孪生技术的优势。其次,详细解析了数字孪生技术的基本理念,及其与信息物理系统和建模仿真技术的区别。随后,从设备级、车间级和工厂级3个层面,着重探讨了数字孪生在纺纱过程中的关键应用场景及实施策略。最后,梳理了数字孪生技术在精准建模、仿真预测和连接交互等方面的问题,并指出其应用重点,即提升精准建模、完善机理模型、提高预测维护准确性以及增强数据交互安全性等。研究结果对推进数字孪生技术在纺纱领域的应用具有一定的参考意义。Intelligent spinning,as a key path for the modernization and automation evolution of the textile industry,aims to improve the efficiency,quality,and flexibility of the spinning process by integrating advanced automation technology,information technology,and intelligent control systems.Its development has undergone multiple critical stages from mechanical automation to intelligent control.Initially,innovations in devices such as ring spinning machines and air-jet spinning machines achieved operational automation,significantly boosting production efficiency.Subsequently,the introduction of computer control technology marked the phase of semi-automation and localized intelligence.Entering the stage of intelligent control,the application of information technology,sensor technology,and artificial intelligence enabled real-time monitoring,data analysis,and automatic optimization of the spinning process,driving the industry towards high efficiency,stability,and intelligence.Digital twin technology has become a revolutionary concept since it was first introduced by Michael Grieves in his Product Lifecycle Management(PLM)course in 2002.The core of this technology lies in building a virtual model of physical entities to achieve real-time monitoring,simulation,and optimization of physical entities.With the advent of Industry 4.0,digital twin technology has been widely applied in various industries,including energy,healthcare,urban management,etc.Its application scenarios have expanded from a single device to the entire production line and even the entire supply chain.The combination of data analysis and artificial intelligence technology enables digital twin systems to perform more complex simulations and predictions.In the context of the development of intelligent spinning,the introduction of digital twin technology has brought new opportunities and transformations.This paper explores the implementation strategies of digital twin technology in intelligent spinning,including the architecture and core technical components of

关 键 词：数字孪生 智能纺纱 故障预测与健康管理 增强现实 多维度建模 智能工厂 

分 类 号：TS104[轻工技术与工程—纺织工程]