首页|期刊导航|棉纺织技术|纺织产业数智化转型的技术架构、能力评估和发展对策分析

纺织产业数智化转型的技术架构、能力评估和发展对策分析OA

Analysis of technical architecture,capability assessment and development strategies for the digital and intelligent transformation of the textile industry

中文摘要英文摘要

系统梳理纺织产业数智化转型的概念演进、系统架构、关键技术、能力评估和产业应用现状,并提出发展对策.介绍了自动化、信息化、数字化与智能化的内涵,认为数智化转型的核心在于以数据驱动的流程重构与组织变革.分析了涵盖设备、网络、数据、应用、用户的智能制造系统模型,阐述了物联网技术、机器人技术、数字孪生技术和人工智能技术的作用机制及其在纺织产业中的应用案例.介绍了智能制造能力评估体系中的智能制造能力成熟度模型和评估方法,以及我国纺织产业数智化转型的进展和面临的主要问题,并提出发展对策.认为:我国纺织产业数智化转型已具备良好基础,未来应着力构建数据驱动的全链路协同体系,突破关键装备与工业软件瓶颈,形成大中小企业梯次推进、技术与场景深度融合的高质量发展新格局.

The conceptual evolution,system architecture,key technologies,capability assessment and current application status for the digital and intelligent transformation of the textile industry were systematically reviewed,and development strategies were proposed.The connotations of automation,informatization,digitalization and intelligence were introduced,the core of the transformation lie in data-driven process reengineering and organizational change.The five-layer smart manufacturing system architecture—covering"equipment,network,data,application and user"layers,were analyzed.The mechanisms of core technologies were elucidated,such as the Internet of Things(IoT),textile robotics,digital twin and artificial intelligence(AI)applications,along with typical application cases in the textile industry.It also introduced the core components of the smart manufacturing capability assessment system,including the smart manufacturing capability maturity model and its assessment methodology.Furthermore,the progress and challenges of China's textile industry in its digital and intelligent transformation were pointed out,and corresponding development strategies were proposed.It is considered that China's textile industry has established a solid foundation for digital and intelligent transformation.Future efforts should be focused on building a data-driven,end-to-end collaborative system,breaking through bottlenecks in key equipment and industrial software,and fostering a new high-quality development pattern characterized by a tiered advancement of large,medium,and small enterprises,as well as the deep integration of technology with application scenarios.

叶贺;陈革

东华大学,上海,201620||中国纺织机械协会,北京,100028东华大学,上海,201620

轻工纺织

纺织产业数智化转型机器人技术人工智能技术能力评估数字孪生技术

textile industrydigital and intelligent transformationroboticsartificial intelligence technologycapability assessmentdigital twin technology

《棉纺织技术》 2026 (10)

12-20,9

10.26967/j.issn1000-7415.202602026

评论