With the transformation and upgrading of the manufacturing industry, manufacturing systems have become increasingly complex in terms of the structural functionality, process flows, control systems, and performance assessment criteria. Digital representation, performance-related process monitoring, process regulation and control, and comprehensive performance optimization have been viewed as the core competence for future growth. Relevant topics have attracted significant attention and long-term exploration in both the academic and industrial communities. In this paper, focusing on the latest achievements in the context of smart manufacturing, a new performance-driven closed-loop process optimization and control framework with the cloud-edge-device collaboration is proposed. Firstly, in order to fully report the performance optimization and control technologies in manufacturing systems, a comprehensive review of associated topics, including digital representation and information fusion, performance-related process monitoring, dynamic scheduling, and closed-loop control and optimization are provided. Secondly, potential architectures integrating such technologies in manufacturing processes are investigated, and several existing research gaps are summarized. Thirdly, aiming at the hierarchical performance target, we present a roadmap to the cloud-edge-device collaborative closed-loop performance optimization and control for smart manufacturing. The overall architecture, development and deployment, and key technologies are discussed and explored with an actual industrial process scenario. Finally, the challenges and future research focuses are introduced. Through this work, it is hoped to provide new perspectives for the comprehensive performance optimization and control in the transition from Industry 4.0–5.0.

中文翻译：

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云边端协同架构中性能驱动的智能制造流程闭环优化与控制：回顾与新视角


随着制造业转型升级，制造系统在结构功能、工艺流程、控制系统、绩效考核标准等方面日益复杂。数字化表示、性能相关的过程监控、过程调节和控制以及综合性能优化已被视为未来增长的核心能力。相关课题引起了学术界和工业界的高度关注和长期探索。本文着眼于智能制造背景下的最新成果，提出了一种云-边-端协同的性能驱动的闭环过程优化与控制新框架。首先，为了全面报道制造系统中的性能优化和控制技术，对相关主题进行了全面回顾，包括数字表示和信息融合、性能相关的过程监控、动态调度以及闭环控制和优化。其次，研究了将此类技术集成到制造过程中的潜在架构，并总结了一些现有的研究差距。第三，针对分层性能目标，提出了智能制造云边端协同闭环性能优化与控制的路线图。结合实际的工业流程场景，对整体架构、开发部署、关键技术进行了讨论和探索。最后，介绍了挑战和未来的研究重点。 通过这项工作，希望为工业4.0-5.0过渡过程中的综合性能优化和控制提供新的视角。