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Experimentable Digital Twins-Streamlining Simulation-Based Systems Engineering for Industry 4.0

delete2018-04-01
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PRE
AI
M
Michael Schluse *
M
Marc Priggemeyer
L
Linus Atorf
J
Juergen Rossmann
DOI:10.1109/TII.2018.2804917delete
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摘要

摘要

En 中文
Digital twins represent real objects or subjects with their data, functions, and communication capabilities in the digital world. As nodes within the internet of things, they enable networking and thus the automation of complex value-added chains. The application of simulation techniques brings digital twins to life and makes them experimentable; digital twins become experimentable digital twins (EDTs). Initially, these EDTs communicate with each other purely in the virtual world. The resulting networks of interacting EDTs model different application scenarios and are simulated in virtual testbeds, providing new foundations for comprehensive simulation-based systems engineering. Its focus is on EDTs, which become more detailed with every single application. Thus, complete digital representations of the respective real assets and their behaviors are created successively. The networking of EDTs with real assets leads to hybrid application scenarios in which EDTs are used in combination with real hardware, thus realizing complex control algorithms, innovative user interfaces, or mental models for intelligent systems.
Keyword:
eRobotics
experimentable digital twin (EDT)
intelligent systems
simulation-based systems engineering
simulation-based X
virtual testbed (VTB)
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期刊

IEEE Transactions on Industrial Informatics 封面图
IEEE Transactions on Industrial Informatics
IF:
9.9
论文数:
8.6K
被引数:
6.0W

机构

R
RWTH Aachen University
学者数:
3.5W
论文数: 2.6W
被引数: 3.6W
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