Modeling Digital Twin Data and Architecture: A Building Guide With FIWARE as Enabling Technology

Conde Díaz, Javier ORCID: https://orcid.org/0000-0002-5304-0626, Muñoz Arcentales, Andrés ORCID: https://orcid.org/0000-0003-1554-437X, Alonso González, Álvaro ORCID: https://orcid.org/0000-0002-8456-8351, López Pernas, Sonsoles ORCID: https://orcid.org/0000-0002-9621-1392 and Salvachúa Rodríguez, Joaquín ORCID: https://orcid.org/0000-0002-7269-8079 (2021). Modeling Digital Twin Data and Architecture: A Building Guide With FIWARE as Enabling Technology. "IEEE Internet Computing", v. 26 (n. 3); pp. 7-14. https://doi.org/10.1109/MIC.2021.3056923.

Descripción

Título: Modeling Digital Twin Data and Architecture: A Building Guide With FIWARE as Enabling Technology
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Internet Computing
Fecha: Febrero 2021
Volumen: 26
Número: 3
Materias:
ODS:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos
Licencias Creative Commons: Ninguna

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Resumen

The use of digitial twins (DTs) in industry has become a growing trend in recent years, allowing improvement of the life cycle of any process by taking advantage of the relationship between the physical and virtual worlds. Existing literature posits several challenges for building DTs, as well as some proposals for overcoming them. However, in the vast majority of the cases, the architectures and technologies presented are strongly bounded to the domain where the DTs are applied. This article proposes the FIWARE Ecosystem, combining its catalog of components and smart data models as a solution for the development of any DT. We also provide a use case to show how to use FIWARE for building DTs through a complete example of a parking DT. We conclude that the FIWARE Ecosystem constitutes a real reference option for developing DTs in any domain.

Más información

ID de Registro: 74802
Identificador DC: https://oa.upm.es/74802/
Identificador OAI: oai:oa.upm.es:74802
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/9214056
Identificador DOI: 10.1109/MIC.2021.3056923
URL Oficial: https://ieeexplore.ieee.org/document/9346030
Depositado por: Javier Conde Díaz
Depositado el: 27 Jun 2023 05:43
Ultima Modificación: 12 Nov 2025 00:00