A System of Systems Digital Twin to Support Life Time Management and Life Extension of Subsea Production Systems

Altamiranda, Edmary; Colina, Eliezer

doi:10.1109/oceanse.2019.8867187

Cited by 12 publications

(10 citation statements)

References 27 publications

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“…by allowing to synchronize domain models using a shared cloud server), they also acknowledged the lack of more efficient mechanisms to resolve conflicts between model versions. Therefore, we observed that CAD and BIM would only cover levels zero (standalone disconnected) or one (integrated descriptive) of digital twin capabilities, respectively [39]. On the other hand, digital twins were explained as a solution that maintains updated information to consistently reflect the status of the built asset: Practitioners were generally confident that a digital twin could solve their coordination issues.…”

Section: ) Directionality and Synchronizationmentioning

confidence: 96%

“…Thus, a digital twin allows to manage the cyber part of a cyber-physical system [34], [37], [38], by supporting decision-making and providing functionalities for real-time prediction, optimization, monitoring, or controlling the physical asset [10]. Some classifications have been proposed to explain this range of features and to illustrate how the digital twin capabilities can evolve to support increasingly complex applications [39]. At its most basic level, digital twins simply offer a description of the asset, with asynchronous or low connectivity to the real environment.…”

Section: B Digital Twinsmentioning

confidence: 99%

“…These visual representations can be enhanced with real-time data to diagnose the asset state (e.g., for fault detection), and later on with the integration of statistic, probabilistic or Artificial Intelligence (AI) models to enable more intelligent predictive and prescriptive capabilities. At its most advanced state, the digital twin could replace human intervention and autonomously determine an action on behalf of the physical asset [39], [40].…”

Section: B Digital Twinsmentioning

confidence: 99%

“…To illustrate the changes in actors' perceptions about their roles and new business opportunities, TABLE IV contains a non-exhaustive list of examples given by our study participants about new services that they are currently developing or testing. At the level of building equipment or "smart maintenance", digital twins with descriptive or diagnostic capabilities might suffice to cover the end users' needs [39], [41], [61]. However, if the type of asset represented by the twin is a whole building or multiple buildings, more complex predictive, prescriptive and autonomous features will likely be needed, besides other cyber security considerations [39], [40] to account for personal data that must be stored in such systems (e.g.…”

Section: B Adopting An S-d Logic View Of Networked Industriesmentioning

confidence: 99%

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Seven Metaphors to Understand Digital Twins of Built Assets

Camposano

Smolander

Ruippo³

2021

IEEE Access

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Digital twins have raised the attention of practitioners in the fields of Architecture, Engineering and Construction, and Facilities Management (AEC/FM). The term broadly refers to the cyber part of cyber-physical systems used for representing and managing real-world assets. This qualitative study explores how Finnish AEC/FM practitioners describe digital twins of assets in the built environment. Our findings are primarily derived from the interpretive analysis of semi-structured interviews with project managers and C-level executives during 2018 and 2019. The results of this analysis are discussed within the existing literature about digital twins, complex software ecosystems, and Service-Dominant (S-D) logic. We observed that digital twins were often explained using simple metaphors that could be easily understood by practitioners. We identified seven of such metaphors, each associated with a key attribute of digital twins. We argue that digital twins are the basis of complex software ecosystems, resulting from the increased expectations of AEC/FM stakeholders about the role of Building Information Modeling and other software solutions in their daily operations. Under an S-D logic perspective, digital twins are a resource applied by multiple interdependent actors to integrate information, co-create value for their entire network, and jointly deliver new products or services.

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Section: ) Directionality and Synchronizationmentioning

confidence: 96%

Section: B Digital Twinsmentioning

confidence: 99%

Section: B Digital Twinsmentioning

confidence: 99%

Section: B Adopting An S-d Logic View Of Networked Industriesmentioning

confidence: 99%

See 2 more Smart Citations

Seven Metaphors to Understand Digital Twins of Built Assets

Camposano

Smolander

Ruippo³

2021

IEEE Access

View full text Add to dashboard Cite

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“…Consequently, a number of recent publications present analysis and use cases that primarily link existing methods and thought patterns that are commonly associated with sustainability to the DT concept and outline technical challenges of a microeconomic implementation. Recent examples of these bottom-up approaches include a DT-based life cycle assessment (LCA) framework, [22] the conceptual basics of a DT concept for sustainability evaluation of railway station buildings, [23] an implementation model applicable in the context of asset life cycle management, [24] a method for DT-driven product design [25] as well as a DT-driven green material optimal selection model. [26] He and Bai present a substantial review of bottom-up-approaches related to DT-driven sustainable intelligent manufacturing and summarize their findings in a specific framework.…”

Section: Introductionmentioning

confidence: 99%

Sustainable production and the role of digital twins–Basic reflections and perspectives

Miehe

Waltersmann

Sauer

et al. 2021

J Adv Manuf & Process

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Sustainable production is essential for the future of the global economy. Despite the publication of its baseline vision over 30 years ago and the resulting diversity of interpretations and subdisciplines in engineering and social sciences, the progress of the approach in industrial practice remains marginal. This is mainly due to the fact that the discipline has not yet succeeded to realize the magnitude of the rethinking necessary of its very own perception as a whole. Existing definitions of sustainable production presented to date are thus only partly consistently derived from the baseline concept. Meanwhile, digitalization provides an increasing number of technologies that offer a new perspective on sustainable production. This especially applies to the concept of digital twins. Recent studies, thus, address their role in the context of sustainable production by analyzing its contribution to existing sustainability related methods as well as technical challenges on a microeconomic level (bottom‐up approach). Although these approaches provide concrete requirements for technical deployment, it is highly questionable how they will contribute to sustainable production as a whole. In this paper, we choose a top‐down approach to discuss the role of digital twins in the context of sustainable production. Based on fundamental reflections on the baseline concept of sustainability, we advocate a reorientation of production within the framework of planetary boundaries. Thereupon, we discuss the role of digital twins and digital threads and provide a number of requirements that future R&D needs to address for a future sustainability‐oriented data‐driven monitoring and regulation of production.

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