当前位置: X-MOL 学术Robot. Comput.-Integr. Manuf. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
RHYTHMS: Real-time Data-driven Human-machine Synchronization for Proactive Ergonomic Risk Mitigation in the Context of Industry 4.0 and Beyond
Robotics and Computer-Integrated Manufacturing ( IF 10.4 ) Pub Date : 2023-12-26 , DOI: 10.1016/j.rcim.2023.102709
Shiquan Ling , Yanglang Yuan , Danqi Yan , Yuquan Leng , Yiming Rong , George Q. Huang

Human-machine work system (HMWS) represents a composite system that integrates machine precision and strength with human cognitive abilities, flexibility, and adaptability, aiming to achieve enhanced performance in various tasks aligned with a common goal, which is getting smarter in the era of Industry 4.0 (I4.0) and has received extensive attention from academia and industry. However, the lack of real-time information sharing during HMWS implementation and operation, coupled with uncertainties stemming from human instability and the complexities introduced by smart networking environments in the context of I4.0, poses challenges to the synchronous coordination of this distributed human-centric manufacturing system. Failure in synchronization not only compromises overall system integrity, leading to unrealistic decision-making and potential harm to human health but also goes against the principles of Industry 5.0 (I5.0), which proposes placing human well-being at the center of the production process for human-centric smart manufacturing in the future. In this context, this research presents real-time data-driven hyper objects orchestrating for the human-machine synchronization (RHYTHMS) based on a service-oriented human-to-machine architecture (SOH2M) and a model reference adaptive fuzzy control for real-time information sharing and synchronous coordination of the smart HMWS. Based on these, a real-life assembly case is carried out by a full-scale HMWS prototype to quantitatively analyze the benefits of the proposed approach in proactive ergonomic risk mitigation (PERM), contributing to the human-centric value-oriented I5.0 era.



中文翻译:

RHYTHMS:实时数据驱动的人机同步,在工业 4.0 及以后的背景下主动降低人体工学风险

人机工作系统(HMWS)是一种将机器的精度和力量与人类的认知能力、灵活性和适应性相结合的复合系统,旨在提高与共同目标相一致的各种任务的性能,在智能时代变得更加智能。工业4.0(I4.0)并受到学术界和工业界的广泛关注。然而,HMWS实施和运行过程中缺乏实时信息共享,加上人类不稳定性带来的不确定性以及I4.0背景下智能网络环境带来的复杂性,对这种分布式人类的同步协调提出了挑战。中心制造系统。同步失败不仅会损害整个系统的完整性,导致不切实际的决策和对人类健康的潜在危害,而且也违背了工业 5.0 (I5.0) 的原则,该原则建议将人类福祉置于生产的中心未来以人为本的智能制造流程。在此背景下,本研究提出了基于面向服务的人机架构( SOH2M )的实时数据驱动的超对象编排用于人机同步(RHYTHMS)和用于实时的模型参考自适应模糊控制。智能HMWS的时间信息共享和同步协调。在此基础上,通过全尺寸HMWS原型机进行实际装配案例,定量分析该方法在主动人体工学风险缓解(PERM)方面的优势,为实现以人为本、价值导向的I5.0做出贡献时代。

更新日期:2023-12-29
down
wechat
bug