数据驱动的机器人化纺织生产智能管控系统研究进展

我国纺织产业规模庞大、生产流程长、用工量大，全流程自动化生产仍难以实现。建设数据驱动的机器人化纺织生产智能管控系统，对于推动我国纺织业由劳动密集型向少人或无人化生产转型升级具有重要的作用。系统回顾了纺织机器人生产系统的发展历程，提出了数据驱动的机器人化纺织生产智能管控系统体系架构，从装备层、数据层、应用层探讨了补全流程断点的多类型纺织机器人、多链融合的纺织全流程数字主线、多应用协同的纺织生产智能管控3项关键技术及应用，并对实际应用中的问题和挑战进行总结。最后指出高速实时性、灵巧精密性、自主协同性纺织机器人，及具备可解释性、可持续性、韧性的纺织生产智能管控系统是未来可能的发展方向。

Advancement in data-driven intelligent control system for roboticized textile production

The scale of China's textile industry is huge with long production process, and the industry employs large number of workers, and full-process automated production is still difficult to achieve. The construction of a data-driven intelligent control system for roboticized textile production would play an important role in promoting the transformation and upgrading of China's textile industry from labor-intensive to less-personnel or unmanned production. This paper systematically reviewed the development history of textile robot and intelligent manufacturing system, and proposed a data-driven intelligent control system architecture for roboticized textile production. From the equipment layer, data layer and application layer, this paper discussed three key technologies and applications: multi-type textile robots to fill in the process breakpoints, multi-chain integrated digital thread of textile entire process, and multi-application collaborative intelligent control of textile production. Furthermore, the challenges in practical applications were summarized. The review concluded that high-speed, real-time, dexterity, precision, autonomous and collaborative textile robots, and intelligent management and control systems for textile production with interpretability, sustainability and toughness are possible future development directions.