DAO-Based Parallel Triplets Application in Parallel manufacturing and Industries 5.0

Bin Hu, Xiaodong Zhang, Xinjie Liu, Minghua Qin, Tao Cheng, Rurui Xue,Gang Xiong, Shichao Chen

IEEE Journal of Radio Frequency Identification(2024)

引用 0|浏览0
暂无评分
摘要
In response to the agility demands of Industry 5.0, this study pioneers a laboratory-based prototype of a DAO-powered, cyber-physical-social system (CPSS) employing intelligent collaborative robots for parallel manufacturing and management. We introduce the concept of Parallel Triplets, integrating the microphysical dimension into the existing digital and physical realms of the digital twin, enabling faster prototype realization and simultaneous execution of production tasks. This facilitates a decentralized DAO framework where intelligent agents, guided by parallel triplets data, make real-time production decisions and optimize resource allocation, leading to dynamic, collaborative, and autonomous manufacturing. Our empirical research demonstrates the success of this approach, achieving enhanced production efficiency, reduced defect rates, and empowered worker autonomy. This paper contributes to the advancement of Parallel Triplets technology and showcases the transformative potential of DAOs in driving agile, intelligent, and collaborative manufacturing within Industry 5.0.
更多
查看译文
关键词
Industry 5.0,CPSS,Parallel Triplets,Parallel manufacturing,DAOs
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要