An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System
Author:
Ashtari Talkhestani Behrang1, Jung Tobias1, Lindemann Benjamin1, Sahlab Nada1, Jazdi Nasser1, Schloegl Wolfgang2, Weyrich Michael1
Affiliation:
1. Institute of Industrial Automation and Software Engineering , University of Stuttgart , Pfaffenwaldring 47 , Stuttgart , Germany 2. Siemens AG , Digital Factory Division, Product Lifecycle Management, Digital Engineering Automation Designer , Gleiwitzerstraße 555 , Nuremberg , Germany
Abstract
Abstract
The role of a Digital Twin is increasingly discussed within the context of Cyber-Physical Production Systems. Accordingly, various architectures for the realization of Digital Twin use cases are conceptualized. There lacks, however, a clear, encompassing architecture covering necessary components of a Digital Twin to realize various use cases in an intelligent automation system.
In this contribution, the added value of a Digital Twin in an intelligent automation system is highlighted and various existing definitions and architectures of the Digital Twin are discussed. Flowingly, an architecture for a Digital Twin and an architecture for an Intelligent Digital Twin and their required components are proposed, with which use cases such as plug and produce, self-x and predictive maintenance are enabled.
In the opinion of the authors, a Digital Twin requires three main characteristics: synchronization with the real asset, active data acquisition from the real environment and the ability of simulation. In addition to all the characteristics of a Digital Twin, an Intelligent Digital Twin must also include the characteristics of Artificial Intelligence. The Intelligent Digital Twin can be used for the realization of the autonomous Cyber-Physical Production Systems.
In order to realize the proposed architecture for a Digital Twin, several methods, namely the Anchor-Point-Method, a method for heterogeneous data acquisition and data integration as well as an agent-based method for the development of a co-simulation between Digital Twins were implemented and evaluated.
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
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