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

IF 2.3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE journal of radio frequency identification Pub Date : 2024-03-28 DOI:10.1109/JRFID.2024.3382252
Bin Hu;Xiaodong Zhang;Xinjie Liu;Minghua Qin;Tao Cheng;Rurui Xue;Gang Xiong;Shichao Chen
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Abstract

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.
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基于 DAO 的并行三元组在并行制造和工业 5.0 中的应用
为响应工业 5.0 对敏捷性的要求,本研究率先在实验室中开发了一个由 DAO 驱动的网络物理社会系统(CPSS)原型,该系统采用智能协作机器人进行并行制造和管理。我们引入了并行三胞胎(Parallel Triplets)的概念,将微物理维度整合到数字孪生的现有数字和物理领域中,从而实现更快的原型实现和生产任务的同步执行。这有助于建立一个去中心化的 DAO 框架,智能代理在并行三元组数据的指导下,做出实时生产决策并优化资源分配,从而实现动态、协作和自主制造。我们的实证研究证明了这种方法的成功,它提高了生产效率,降低了缺陷率,增强了工人的自主性。本文有助于推动并行三元组技术的发展,并展示了 DAO 在工业 5.0 中推动敏捷、智能和协作制造的变革潜力。
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