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Platology: A Digital Twin Ontology Suite for the Complete Lifecycle of Infrastructure

Authors: Khan, Rehan; Tomar, Rahul; Hartmann, Timo; Ungureanu, Lucian; Chacón Flores, Rolando Antonio; Ibrahim, Ahmed;

Platology: A Digital Twin Ontology Suite for the Complete Lifecycle of Infrastructure

Abstract

The construction industry will have to present compelling solutions to achieve the UN Societal Development Goals (SDG). A digital twin has the potential to revolutionize the design, construction, and performance of civil infrastructure assets across the environment. This paper proposes an ontology mapping the physical objects with required attributes aiming to augment built infrastructured evelopment throughout their complete lifecycle in the context of cyber-physical synchronicity of the digital twin paradigm. This research is conducted within the framework of the H2020 project ASHVIN, aiming to develop a real-time Digital Twin for the Design, Construction, and Operation phase of the infrastructure. The proposed “Platology” ontology suite will encompass physical assets and processes of an infrastructure’s lifecycle and the possibility for accurate version, configuration, and state management to form a bidirectional communication path between the physical and the virtual.

This research project is funded under the European Union’s program Horizon 2020 research and innovation programme under grant agreement no 958161.

Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura

Country
Spain
Keywords

Monitorització de salut estructural, Digital Twin, Structural health monitoring, Ontology, :Enginyeria civil::Materials i estructures [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures, Public works -- Service life, Obres públiques -- Durabilitat

Ait-Lamallam, S., Sebari, I., Yaagoubi, R., Doukari, O., 2021. IFCInfra4OM: An ontology to integrate operation and maintenance information in highway information modelling. ISPRS International Journal of Geo-Information 10.

Barth, L., Ehrat, M., Fuchs, R., Haarmann, J., 2020. Systematization of Digital Twins: Ontology and Conceptual Frameworkenvironment. In: Proceedings of the 2020 The 3rd International Conference on Information Science and System. ICST, pp. 13-23.

Boje, C., Guerriero, A., Kubicki, S., Rezgui, Y., 2020. Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction 114.

Borrmann, A., König, M., Koch, C., Beetz, J., 2015. Chapter 3 Data Modeling. In: Building Information Modeling.

Calvetti, D., Mêda, P., Gonçalves, M.C., Sousa, H., 2020. Worker 4.0: The future of sensored construction sites. Buildings 10.

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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