A Cognitive Approach to Manage the Complexity of Digital Twin Systems

Jinzhi Lu (), Xiaochen Zheng, Lukas Schweiger and Dimitris Kiritsis
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Jinzhi Lu: Ecole Polytechnique Fédérale de Lausanne
Xiaochen Zheng: Ecole Polytechnique Fédérale de Lausanne
Lukas Schweiger: ZHAW
Dimitris Kiritsis: Ecole Polytechnique Fédérale de Lausanne

A chapter in Smart Services Summit, 2021, pp 105-115 from Springer

Abstract: Abstract During the entire lifecycle of system development, various digital twins could be developed to support different systems engineering activities, such as verification and validation. The increasing complexity of digital twins leads to a challenge to manage the consistency, changes and traceability across the entire lifecycle. In this paper, a semantics modeling approach is provided to formalize the digital twins using systems thinking. The semantic models represent the information of each digital twin and the interrelationships among them. Using the semantic models, system developers are enabled to promote the cognitive capabilities of digital twins, which in return will provide more potentials for decision-makings based on digital twins. Finally, the feasibility of the proposed approach is evaluated through a case study in the Swiss Innovation Project IMPURSE.

Keywords: Digital twins; Complexity management; Semantics modeling; Cognitive twin (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-72090-2_10

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DOI: 10.1007/978-3-030-72090-2_10

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