论文标题
数字双胞胎使智能控制工程作为工业AI：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
论文作者
论文摘要
在迈向行业4.0的途中，由于存在多种代理，网络物理系统，分布式感应以及引入未知动态的大数据，工业系统的复杂性增加了，这些动态影响了制造过程的生产目标。因此，Digital Twin是一项破坏技术，与开发任何复杂系统虚拟表示的能力相对应，以执行设计，分析和行为预测任务，从而通过实现实时分析，并行感应或智能控制工程（智能控制工程）来增强对这些系统的理解。在本文中，提出了一个新颖的框架，用于设计和实施数字双胞胎应用程序以开发智能控制工程。该框架的步骤涉及系统文档，多域模拟，行为匹配和实时监视。该框架用于开发数字双胞胎，以进行实时视觉反馈红外温度均匀性控制。获得的结果表明，数字双胞胎是转换为行业4.0的基本组成部分。
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.
