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Authors: Emilio Carrión 1 ; 2 ; Pedro Valderas 2 and Óscar Pastor 2

Affiliations: 1 Mercadona Tech, Mercadona, Spain ; 2 PROS – VRAIN, Universitat Politècnica de València, Spain

Keyword(s): Digital Twin, Modelling, Query.

Abstract: Digital twins (DTs) have become increasingly complex as they integrate data from diverse heterogeneous sources while requiring strict security controls. This heterogeneity presents challenges to effectively query and aggregate information. The Entity-Relationship Digital Twin (ERDT) model provides a basis for representing both physical entities and their digital counterparts, however it lacks mechanisms to handle system-level queries and ensure secure access. This work extends the ERDT model by introducing query views, high-level abstractions that allows flexible and secure querying of DT data over multiple entities. Furthermore, we validate our approach through a real-world industrial case study within Mercadona’s logistics operations where we specifically focus on their truck fleet management system. The results demonstrate that our solution covers data heterogeneity and security constraints while also providing enhanced query capabilities in a production environment.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Carrión, E., Valderas, P. and Pastor, Ó. (2025). Querying Digital Twin Models. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-742-9; ISSN 2184-4895, SciTePress, pages 398-405. DOI: 10.5220/0013204200003928

@conference{enase25,
author={Emilio Carrión and Pedro Valderas and Óscar Pastor},
title={Querying Digital Twin Models},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2025},
pages={398-405},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013204200003928},
isbn={978-989-758-742-9},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Querying Digital Twin Models
SN - 978-989-758-742-9
IS - 2184-4895
AU - Carrión, E.
AU - Valderas, P.
AU - Pastor, Ó.
PY - 2025
SP - 398
EP - 405
DO - 10.5220/0013204200003928
PB - SciTePress