A Methodology for Digital Twin Modeling and Deployment for Industry 4.0

计算机科学 软件部署 代表(政治) 过程(计算) 钥匙(锁) 接口(物质) 软件工程 对象(语法) 系统工程 鉴定(生物学) 分布式计算 程序设计语言 人工智能 工程类 植物 计算机安全 气泡 最大气泡压力法 政治 并行计算 政治学 法学 生物
作者
Greyce N. Schroeder,Charles Steinmetz,Ricardo N. Rodrigues,Renato Ventura Bayan Henriques,Achim Rettberg,Carlos Eduardo Pereira
出处
期刊:Proceedings of the IEEE [Institute of Electrical and Electronics Engineers]
卷期号:109 (4): 556-567 被引量:179
标识
DOI:10.1109/jproc.2020.3032444
摘要

The digital twin (DT) is a virtual representation of a physical object, which has been proposed as one of the key concepts for Industry 4.0. The DT provides a virtual representation of products along their lifecycle that enables the prediction and optimization of the behavior of a production system and its components. A methodology design using model-driven engineering (MDE) is proposed that strives toward being both flexible and generic. This approach is presented at two levels: first, a DT is modeled as a composition of basic components that provide basic functionalities, such as identification, storage, communication, security, data management, human-machine interface (HMI), and simulation; second, an aggregated DT is defined as a hierarchical composition of other DTs. A generic reference architecture based on these concepts and a concrete implementation methodology are proposed using AutomationML. This methodology follows an MDE approach that supports most of the DT features currently proposed in the literature. A case study has been developed, the proposed ideas are being evaluated with industrial case studies, and some of the preliminary results are described in this article. With the case study, it is possible to verify that the proposed methodology supports the creation and the deployment process of a DT.
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