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Contextualisation of information in digital twin processes
,
Marco de Angelis,
Mattia Dal Borgo,
David J. Wagg
Mechanical Systems and Signal Processing, Volume: 184, Start page: 109657
Swansea University Author:
Matt Bonney
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© 2022 The Author(s). Published by Elsevier Ltd. Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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DOI (Published version): 10.1016/j.ymssp.2022.109657
Abstract
Digital twins are required to process a large amount of data during operation, in order to achieve specific tasks, over the lifetime of the physical twin that they relate to. One important feature of processing data is the identification of trust in both the underlying data and processed information...
| Published in: | Mechanical Systems and Signal Processing |
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| ISSN: | 0888-3270 1096-1216 |
| Published: |
Elsevier BV
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65027 |
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| Abstract: |
Digital twins are required to process a large amount of data during operation, in order to achieve specific tasks, over the lifetime of the physical twin that they relate to. One important feature of processing data is the identification of trust in both the underlying data and processed information that arises from the data. Trust, as it is defined here, will typically be built from several contributory sources. While there are both quantitative and qualitative sources of trust, this paper focuses on the qualitative aspects of trust via the transparency of the algorithmic process that is available in the crystal-box modelling. The crystal-box idea is also extended to include the concept of a ‘crystal-box workflow’. The key idea is that in order to assist the user of the digital twin to interpret the results they are presented with, via the digital twin interface, the information needs to be contextualised. This work shows an example of how this can be done for a vibration testing (specifically modal testing) example on a scaled three-storey structure. The information is contextualised for the user via ‘profiles’, which collate and augment the processed information together. In particular, synthetic results are generated in order to augment a limited set of physically recorded data, and these synthetic results are then used to assist the user in contextualising the physically recorded data. Implementation results are shown using an open-source digital twin code called DTOP-Cristallo. |
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| Keywords: |
Digital twin, Trust, Crystal-box, Information management, DTOP-Cristallo, Contextualisation |
| College: |
Faculty of Science and Engineering |
| Funders: |
The authors would like to acknowledge the support of EPSRC, United Kingdom via the digital twins for improved dynamic design project (grant number EP/R006768/1). |
| Start Page: |
109657 |