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Applying digital twins for the management of information in turnaround event operations in commercial airports
Univ Politecn Madrid, Dept Ingn Sistemas Telemat, Escuela Tecn Super Ingenieros Telecomunicac, Madrid, Spain..
Univ Politecn Madrid, Dept Ingn Sistemas Telemat, Escuela Tecn Super Ingenieros Telecomunicac, Madrid, Spain..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-4616-189X
Ferrovial, Madrid, Spain..
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2022 (English)In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 54, p. 101723-, article id 101723Article in journal (Refereed) Published
Abstract [en]

The aerospace sector is one of the many sectors in which large amounts of data are generated. Thanks to the evolution of technology, these data can be exploited in several ways to improve the operation and management of industrial processes. However, to achieve this goal, it is necessary to define architectures and data models that allow to manage and homogenise the heterogeneous data collected. In this paper, we present an Airport Digital Twin Reference Conceptualisation's and data model based on FIWARE Generic Enablers and the Next Generation Service Interfaces-Linked Data standard. Concretely, we particularise the Airport Digital Twin to improve the efficiency of flight turnaround events. The architecture proposed is validated in the Aberdeen International Airport with the aim of reducing delays in commercial flights. The implementation includes an application that shows the real state of the airport, combining two-dimensional and three-dimensional virtual reality representations of the stands, and a mobile application that helps ground operators to schedule departure and arrival flights.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 54, p. 101723-, article id 101723
Keywords [en]
Aviation, Flight turnaround events, Digital twin, Internet of Things, Data modelling, Big data
National Category
Economics
Identifiers
URN: urn:nbn:se:kth:diva-319468DOI: 10.1016/j.aei.2022.101723ISI: 000857299300004Scopus ID: 2-s2.0-85137651694OAI: oai:DiVA.org:kth-319468DiVA, id: diva2:1699961
Note

QC 20220929

Available from: 2022-09-29 Created: 2022-09-29 Last updated: 2022-09-29Bibliographically approved

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Romero, Mario

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