面向纺织印染的新一代数字制造系统  

New generation of digital manufacturing system for textile printing and dyeing

作　　者：袁沐坤 于广平[1,2] 刘坚 李健 王志广 苑明哲 郭清达[1,2] YUAN Mukun;YU Guangping;LIU Jian;LI Jian;WANG Zhiguang;YUAN Mingzhe;GUO Qingda(Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang,Liaoning 110016,China;Guangzhou Industrial Intelligence Research Institute,Guangzhou,Guangdong 511458,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院沈阳自动化研究所,辽宁沈阳110016 [2]广州工业智能研究院,广东广州511458 [3]中国科学院大学,北京100049

出　　处：《纺织学报》2024年第6期173-185,共13页Journal of Textile Research

基　　金：中国博士后科学基金项目(2023M730779);广东省省级科技计划项目(2023A0505050090);羊城创新创业领军人才支持计划(2019006);“广东特支计划”杰出人才(2021JC06S567)。

摘　　要：针对纺织印染业数据感知、信息融合、知识推理、业务交互、人机协同等网络化、智能化产业升级需求,提出纺织印染新一代数字制造系统框架,结合业务生产全流程建立数据中台实现跨系统融合的综合智能决策;面向全生产决策领域构建决策支持组件池,推进业务系统与控制系统的融合;基于全业务生产流程数据的感知融合,搭建经营驾驶舱、订单数字化管控系统、设备数字化管控系统、能源数字化管控系统与环保安防数字化管控系统等,形成决策-执行闭环反馈的模式,实现业务和生产全流程信息管控。广东某纺织染整有限公司基于该纺织印染新一代数字制造系统框架对染色车间进行数字制造技术升级,与2019年度相比,该企业2021年度智能染色和定形示范车间人均产值提升145.0%和129.9%,良品率提升9.1%和2.6%,能源利用率提升31.9%和34.9%,在生产效率、产品质量、能源利用方面获得显著提升。Objective The textile industry,as a part of traditional and extensive manufacturing,features long and complex processes with specific requirements at each step.The widespread lack of informatization and automation results in low production efficiency and unstable quality control,demanding higher levels of process collaboration and control optimization.Additionally,being labor-intensive,it faces an increasing shortage of human resources.The industry's poor foundation in componentization and intelligence,alongside its weak flexibility and reconfiguration capabilities,faces pressures from resource scarcity,high energy consumption,and environmental costs,complicating the fulfillment of customization,diversity,small batches,and quality-focused transformation demands.The limitation of traditional digital manufacturing technologies on industry upgrades becomes apparent.The integration of the Industrial Internet,internet of things(IoT),big data,cloud computing,artificial intelligence(AI),and human-machine collaboration in new-generation digital manufacturing for textile printing and dyeing aims to meet demands for personalized customization,dynamic process reconstruction,and lean quality management.Textile production,spanning from negotiation to warehousing,encompasses various management areas like orders,design,and quality.Sharing data across these areas enables collaborative decision-making,supporting production and operational decisions through intelligent analysis and optimization,marking a key strategy in advancing collaborative manufacturing driven by digital information.Method Addressing the digital transformation pain points in the textile printing and dyeing industry,such as decentralized cross-domain production data,weak interaction across management systems,and frequent manual involvement,the paper introduces a new-generation digital manufacturing system architecture for the textile and dyeing sector.It establishes a data hub for the business production process to collect and integrate data from various stages

关 键 词：纺织印染 产业升级 数字制造 数据感知融合 人机协同 

分 类 号：TS108.8[轻工技术与工程—纺织工程]