Digital Twins in the Marine Industry

Lv, Zhihan; Lv, Haibin; Fridenfalk, Mikael

doi:10.3390/electronics12092025

Cited by 15 publications

(8 citation statements)

References 108 publications

(122 reference statements)

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“…A formal mathematical approach, yet very abstract, of the relationships between physical twins, digital shadow, and digital twin was presented by Lv, Lv, and Fridenfalk [34]. A limitation of their approach is that it still offers a lot of space for interpretation and the mathematical notation is peculiar.…”

Section: B Conceptual Models To Define Digital Twinsmentioning

confidence: 99%

From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications

Barbie,

Hasselbring

2024

IEEE Access

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The transformation to Industry 4.0 also transforms the processes of developing intelligent manufacturing production systems. Digital twins may be employed to advance the development of these new (embedded) software systems. However, there is no consensual definition of what a digital twin is. In this paper, we provide 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 class diagrams using the Unified Modeling Language. Our digital twin prototype approach supports engineers in the development and automated testing of complex embedded software systems. This approach enables 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 the application and implementation of a digital twin using 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 laboratory study published open source on GitHub.

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Section: B Conceptual Models To Define Digital Twinsmentioning

confidence: 99%

From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications

Barbie,

Hasselbring

2024

IEEE Access

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“…A digital twin can be used for various purposes, including design optimization, quality control, monitoring, decision-making, and policy formulation [29]. Its utilization has been reported in the realm of ocean and coastal fields [30][31][32][33], where the digital twin is regarded as a potent tool for a further understanding of problems that may not be easily discovered in reality. However, there are currently few digital twin applications for coastal research.…”

Section: The Digital Twinmentioning

confidence: 99%

Enhancing Coastal Risk Recognition: Assessing UAVs for Monitoring Accuracy and Implementation in a Digital Twin Framework

Yuan,

Zhang,

et al. 2024

Applied Sciences

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This paper addresses the intricate challenges of coastal management, particularly in rapidly forming tidal flats, emphasizing the need for innovative monitoring strategies. The dynamic coastal topography, exemplified by a newly formed tidal flat in Shanghai, underscores the urgency of advancements in coastal risk recognition. By utilizing a digital twin framework integrated with state-of-the-art unmanned aerial vehicles (UAVs), we systematically evaluate three configurations and identify the optimal setup incorporating real-time kinematics (RTK) and light detection and ranging (LiDAR). This UAV configuration excels in efficiently mapping the 3D coastal terrain. It has an error of less than 0.1 m when mapping mudflats at an altitude of 100 m. The integration of UAV data with a precise numerical ocean model forms the foundation of our dynamic risk assessment framework. The results showcase the transformative potential of the digital twin framework, providing unparalleled accuracy and efficiency in coastal risk recognition. Visualization through Unity Engine or Unreal Engine enhances accessibility, fostering community engagement and awareness. By predicting and simulating potential risks in real-time, this study offers a forward-thinking strategy for mitigating coastal dangers. This research not only contributes a comprehensive strategy for coastal risk management but also sets a precedent for the integration of cutting-edge technologies in safeguarding coastal ecosystems. The findings are significant in paving the way for a more resilient and sustainable approach to coastal management, addressing the evolving environmental pressures on our coastlines.

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“…A formal mathematical approach, yet very abstract, of the relationships between physical twins, digital shadow, and digital twin was presented by Lv, Lv, and Fridenfalk [31]. A limitation in their approach is that it still offers a lot of space for interpretation and the mathematical notation is peculiar.…”

Section: Conceptual Models To Define Digital Twinsmentioning

confidence: 99%

Continuous Integration Testing of Embedded Software with Digital Twin Prototypes

Barbie¹,

Hasselbring²,

Pech³

2021

Preprint

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Digital Twins may be employed for developing embedded software and can be classified in three subcategories by their level of integration with the corresponding physical objects/twins. We introduce and report on experience with a new category: the Digital Twin Prototype. Digital Twin Prototypes support engineers to test embedded software systems, without the need of a connection to a physical object. In CI/CD pipelines they can be used for integration testing and thus, allow for an agile verification and validation process. We developed and evaluated this approach to create an underwater network of ocean observation systems. The feasibility was shown in a demonstration mission in the Baltic Sea in October 2020.

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Digital Twins in the Marine Industry

Cited by 15 publications

References 108 publications

From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications

From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications

Enhancing Coastal Risk Recognition: Assessing UAVs for Monitoring Accuracy and Implementation in a Digital Twin Framework

Continuous Integration Testing of Embedded Software with Digital Twin Prototypes

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