From Digital Twins to Digital Twin Prototypes: Concepts, Formalization,
and Applications
- URL: http://arxiv.org/abs/2401.07985v1
- Date: Mon, 15 Jan 2024 22:13:48 GMT
- Title: From Digital Twins to Digital Twin Prototypes: Concepts, Formalization,
and Applications
- Authors: Alexander Barbie, Wilhelm Hasselbring
- Abstract summary: There is no consensual definition of what a digital twin is.
Our digital twin prototype (DTP) approach supports engineers during the development and automated testing of embedded software systems.
- Score: 55.57032418885258
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The transformation to Industry 4.0 also transforms the processes of how we
develop intelligent manufacturing production systems. To advance the software
development of these new (embedded) software systems, digital twins may be
employed. However, there is no consensual definition of what a digital twin is.
In this paper, we give an overview of the current state of the digital twin
concept and formalize the digital twin concept using the Object-Z notation.
This formalization includes the concepts of physical twins, digital models,
digital templates, digital threads, digital shadows, digital twins, and digital
twin prototypes. The relationships between all these concepts are visualized as
UML class diagrams.
Our digital twin prototype (DTP) approach supports engineers during the
development and automated testing of complex embedded software systems. This
approach enable engineers to test embedded software systems in a virtual
context, without the need of a connection to a physical object. In continuous
integration / continuous deployment pipelines such digital twin prototypes can
be used for automated integration testing and, thus, allow for an agile
verification and validation process.
In this paper, we demonstrate and report on how to apply and implement a
digital twin by the example of two real-world field studies (ocean observation
systems and smart farming). For independent replication and extension of our
approach by other researchers, we provide a lab study published open source on
GitHub.
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