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Graph-Based Knowledge Representation and Algorithms for Air and Maintenance Operations
Saab Aeronautics, Linköping, Sweden.
Saab Aeronautics, Linköping, Sweden.
Mälardalen University, Västerås, Sweden.
Mälardalen University, Västerås, Sweden.
Vise andre og tillknytning
2022 (engelsk)Inngår i: ICAS Proceedings 33rd Congress of the International Council of the Aeronautical Sciences, Stockholm, Sweden, International Council of the Aeronautical Sciences , 2022, s. 6925-6943Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This work presents an approach for information exchange between adjacent air operations domains by means of graph technologies. The approach has the ability to leverage interoperability and collaboration between air- and ground-based systems and stakeholders in respective domains. In its foundation, it provides a means for relevant actors to access and assess relevant data, information and knowledge, and thus provide input in terms of viable action alternatives in a complex and dynamic operational context. As a proof-of-concept, we have utilizeda full-stack application framework to implement a decision support demonstrator for operational aircraft maintenance. Our solution facilitates a lightweight and dynamic representation of relevant domain knowledge,readily available for exploitation by graph algorithms, adapted to our domain. We have based our implementation on the full-stack application framework Grand-Stack, which is an architecture designed to exploit the power of graphs throughout its stack.

sted, utgiver, år, opplag, sider
International Council of the Aeronautical Sciences , 2022. s. 6925-6943
Emneord [en]
Graph Database, Graph Algorithms, Interoperability, Aircraft Maintenance, Grand-Stack
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-97818Scopus ID: 2-s2.0-85159708436OAI: oai:DiVA.org:ltu-97818DiVA, id: diva2:1765189
Konferanse
33rd Congress of the International Council of the Aeronautical Sciences (ICAS 2022), Stockholm, Sweden, September 4-9, 2022
Forskningsfinansiär
VinnovaTilgjengelig fra: 2023-06-09 Laget: 2023-06-09 Sist oppdatert: 2026-02-12bibliografisk kontrollert

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Castaño, Miguel

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