Supporting digital twins for the retrofit in aviation by a model-driven data handling

Enthalten in
Systems 
Volume
11
Issue
3
Article Number
142
Citation
Systems 11 (3): 142 (2023)
Publisher DOI
10.3390/systems11030142
Scopus ID
2-s2.0-85151117371
Publisher
Multidisciplinary Digital Publishing Institute
Aviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabins. During the planning and execution of this cabin retrofit, handling the needed and available data poses a challenge to the engineers. While much of the required data is available in some form, generally there is a lack of a digitally usable dataset of the specific aircraft - a virtual representation of the physical asset is missing. To support the implementation of such a digital twin and, thus, the overall process of retrofitting aircraft, an approach to model-driven data handling tailored to the unique circumstances and requirements of aviation is introduced. The methodology consists of a combination of systems engineering and data science techniques framed by an overarching procedure that iteratively creates and enhances a digitally accessible dataset of the relevant data, hence supporting the retrofit engineers by easing access to needed information. Besides the presentation of the research background and the methodology, a simplified example is shown, demonstrating the approach using abstracted but realistic information provided by partners from the industry.
Schlagworte
aviation
retrofit
data handling
model-based
model-driven
SysML
graph
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften