Exploring the concept of Cognitive Digital Twin from model-based systems engineering perspective

Digital Twin technology has been widely applied in various industry domains. Modern industrial systems are highly complex consisting of multiple interrelated systems, subsystems and components. During the lifecycle of an industrial system, multiple digital twin models might be created related to dif...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 121; no. 9-10; pp. 5835 - 5854
Main Authors Jinzhi, Lu, Zhaorui, Yang, Xiaochen, Zheng, Jian, Wang, Dimitris, Kiritsis
Format Journal Article
LanguageEnglish
Published London Springer London 01.08.2022
Subjects
CAE) and Design
Computer-Aided Engineering (CAD
Engineering
Industrial and Production Engineering
Mechanical Engineering
Media Management
Original Article
Model-based systems engineering
Cognitive Digital Twin
KARMA language
Digital Twin
Knowledge graph
Semantic modelling
Online AccessGet full text

Cover

More Information
Summary:Digital Twin technology has been widely applied in various industry domains. Modern industrial systems are highly complex consisting of multiple interrelated systems, subsystems and components. During the lifecycle of an industrial system, multiple digital twin models might be created related to different domains and lifecycle phases. The integration of these relevant models is crucial for creating higher-level intelligent systems. The Cognitive Digital Twin (CDT) concept has been proposed to address this challenge by empowering digital twins with augmented semantic capabilities. It aims at identifying the dynamics and interrelationships of virtual models, thus to enhance complexity management capability and to support decision-making during the entire system lifecycle. This paper aims to explore the CDT concept and its core elements following a systems engineering approach. A conceptual architecture is designed according to the ISO 42010 standard to support CDT development; and an application framework enabled by knowledge graph is provided to guide the CDT applications. In addition, an enabling tool-chain is proposed corresponding to the framework to facilitate the implementation of CDT. Finally, a case study is conducted, based on simulation experiments as a proof-of-concept.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-022-09610-5