数据驱动的机器人化纺织生产智能管控系统研究进展

doi:10.13475/j.fzxb.20220506610

Abstract

Abstract:

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.

Key words: textile industry, robot, smart manufacturing, data-driven, production control, intelligent system

CLC Number:

TS10

ZHANG Jie, XU Chuqiao, WANG Junliang, ZHENG Xiaohu. Advancement in data-driven intelligent control system for roboticized textile production[J].Journal of Textile Research, 2022, 43(09): 1-10.

Figures/Tables 4

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