Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin

Paula Munoz; Manuel Wimmer; Javier Troya; Antonio Vallecillo

doi:10.1145/3550356.3563135

Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin

Paula Munoz, Manuel Wimmer, Javier Troya, Antonio Vallecillo

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

A common problem in the development of digital twin systems is the validation that the behavior of both twins, the physical and the digital, is the same, or at least similar enough given the requirements of the digital twin system. In this paper, we propose a method for the alignment of the traces of both twins. Traces are sequences of snapshots that capture the progressive states of each entity. Our approach is based on a bioinformatic algorithm that we adapt and use for the alignment of snapshots. Additionally, we include a set of measures to evaluate the quality of these alignments and reason about the level of fidelity of the digital twin system. Two case studies are used to demonstrate our proposal and evaluate its accuracy and effectiveness.

Original language	English
Title of host publication	Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, MODELS '22, Montreal, Canada, October 23-28,2022.
Pages	503-510
Number of pages	8
ISBN (Electronic)	9781450394673
DOIs	https://doi.org/10.1145/3550356.3563135
Publication status	Published - 23 Oct 2022

Fields of science

102006 Computer supported cooperative work (CSCW)
102015 Information systems
102016 IT security
102020 Medical informatics
102022 Software development
102027 Web engineering
102034 Cyber-physical systems
509026 Digitalisation research
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3550356.3563135

Cite this

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title = "Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin",

abstract = "A common problem in the development of digital twin systems is the validation that the behavior of both twins, the physical and the digital, is the same, or at least similar enough given the requirements of the digital twin system. In this paper, we propose a method for the alignment of the traces of both twins. Traces are sequences of snapshots that capture the progressive states of each entity. Our approach is based on a bioinformatic algorithm that we adapt and use for the alignment of snapshots. Additionally, we include a set of measures to evaluate the quality of these alignments and reason about the level of fidelity of the digital twin system. Two case studies are used to demonstrate our proposal and evaluate its accuracy and effectiveness.",

author = "Paula Munoz and Manuel Wimmer and Javier Troya and Antonio Vallecillo",

year = "2022",

month = oct,

day = "23",

doi = "10.1145/3550356.3563135",

language = "English",

pages = "503--510",

booktitle = "Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, MODELS '22, Montreal, Canada, October 23-28,2022.",

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Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin. / Munoz, Paula; Wimmer, Manuel; Troya, Javier et al.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, MODELS '22, Montreal, Canada, October 23-28,2022.. 2022. p. 503-510.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin

AU - Munoz, Paula

AU - Wimmer, Manuel

AU - Troya, Javier

AU - Vallecillo, Antonio

PY - 2022/10/23

Y1 - 2022/10/23

N2 - A common problem in the development of digital twin systems is the validation that the behavior of both twins, the physical and the digital, is the same, or at least similar enough given the requirements of the digital twin system. In this paper, we propose a method for the alignment of the traces of both twins. Traces are sequences of snapshots that capture the progressive states of each entity. Our approach is based on a bioinformatic algorithm that we adapt and use for the alignment of snapshots. Additionally, we include a set of measures to evaluate the quality of these alignments and reason about the level of fidelity of the digital twin system. Two case studies are used to demonstrate our proposal and evaluate its accuracy and effectiveness.

AB - A common problem in the development of digital twin systems is the validation that the behavior of both twins, the physical and the digital, is the same, or at least similar enough given the requirements of the digital twin system. In this paper, we propose a method for the alignment of the traces of both twins. Traces are sequences of snapshots that capture the progressive states of each entity. Our approach is based on a bioinformatic algorithm that we adapt and use for the alignment of snapshots. Additionally, we include a set of measures to evaluate the quality of these alignments and reason about the level of fidelity of the digital twin system. Two case studies are used to demonstrate our proposal and evaluate its accuracy and effectiveness.

UR - https://www.scopus.com/pages/publications/85142936475

U2 - 10.1145/3550356.3563135

DO - 10.1145/3550356.3563135

M3 - Conference proceedings

SP - 503

EP - 510

BT - Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, MODELS '22, Montreal, Canada, October 23-28,2022.

ER -

Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin

Abstract

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CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

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Using Trace Alignments for Measuring the Similarity between a Physical and its Digital Twin

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this