作为工业AI的数字孪生智能控制工程：一个新的框架和案例研究
Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and A Case Study
摘要：
在迈向工业4.0的过程中，由于多个代理、网络物理系统、分布式传感和大数据的存在，工业系统的复杂性增加，这些因素引入了影响制造过程生产目标的未知动态。因此，Digital Twin是一项突破性的技术，对应于开发任何复杂系统的虚拟表示的能力，以便执行设计，分析和行为预测任务，通过实时分析，并行传感或智能控制工程等新的使能功能增强对这些系统的理解。本文提出了一种新的框架，设计和实现数字孪生应用程序的智能控制工程的发展。该框架的步骤包括系统文档、多域仿真、行为匹配和实时监控。该框架被应用于开发数字孪生实时视觉反馈红外温度均匀性控制。结果表明，数字孪生是向工业4.0转型的重要组成部分。
英文摘要：
In the way towards Industry 4.0, the complexity of the industrial systems increases due to the presence of multiple agents, Cyber-Physical Systems, distributed sensing, and big data introducing unknown dynamics that affect the production goals of the manufacturing processes. Thus, Digital Twin is a breaking technology corresponding to the capacity of developing a virtual representation of any complex system in order to perform design, analysis, and behavior prediction tasks that enhance the understanding of these systems through new enabling capabilities like real-time analytics, parallel sensing, or Smart Control Engineering. In this paper, a novel framework is proposed for the design and implementation of Digital Twin applications to the development of Smart Control Engineering. The steps of this framework involve system documentation, multidomain simulation, behavioral matching, and real-time monitoring. This framework is applied to develop the Digital Twin for a real-time vision feedback infrared temperature uniformity control. The obtained results show that Digital Twin is a fundamental part of the transformation into Industry 4.0.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
