作为无实体工作使能器的赛博物理数字工厂架构
Cyber-Physical Digital Factory Architecture as the Enabler of Disembodied Work
- University of Oulu（奥卢大学）
- University of Florida（佛罗里达大学）
- University of North Carolina at Charlotte（北卡罗来纳大学夏洛特分校）
- University of British Columbia（不列颠哥伦比亚大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究针对现有制造技术未集成到统一赛博物理环境的问题，提出含数字孪生等模块的赛博物理数字工厂架构，经三类制造操作验证，为未来人-AI控制的数字工厂提供可复用框架。
AI中文摘要：
数字孪生（Digital Twins, DTs）、人工智能（Artificial Intelligence, AI）和工业物联网（Industrial Internet of Things, IIoT）技术已显著推进制造业数字化，但这些技术通常应用于单个制造流程，而非集成到统一的赛博物理制造环境中。本文提出一种可实现无实体工作的赛博物理数字工厂架构，该架构中制造系统可通过扩展现实（eXtended Reality, XR）用户界面，在基于AI的控制与人类操作员协作下进行远程监控与操作。该架构将同步DTs、分层云边AI、IIoT及XR远程操作接口集成到赛博物理制造环境中，通过数控（CNC）加工、机器人辅助研磨抛光、机器人拆卸等典型制造操作验证所提方法，结果表明该架构用于无实体制造工作的可行性，并为未来由人-AI控制的数字工厂提供可复用的赛博物理框架。
英文摘要：
Digital Twins (DTs), Artificial Intelligence (AI), and Industrial Internet of Things (IIoT) technologies have significantly advanced manufacturing digitalization. However, these technologies are typically applied to individual manufacturing processes rather than integrated into a unified cyber-physical manufacturing environment. This paper proposes a cyber-physical digital factory architecture that enables disembodied work, where manufacturing systems can be supervised and operated remotely through eXtended Reality (XR) user interfaces in collaboration between AI-based control and human operators. The architecture integrates synchronized DTs, hierarchical cloud-edge AI, IIoT, and XR teleoperation interfaces into a cyber-physical manufacturing environment. The proposed approach is validated through representative manufacturing operations, including CNC machining, robotic-assisted abrasive finishing, and robotized disassembly. The results demonstrate the feasibility of the proposed architecture for disembodied manufacturing work and provide a reusable cyber-physical framework for future human-AI-controlled digital factories.
