The overall objective of the LGCS project is to design a self-learning galley catering system (LGCS) that generates and communicates data for on-board supplies within the chain of caterer, airline, cabin crew and passenger per flight route, learns from it and actively makes decisions.
Sub-project: Design methods and architectures for learning, artificially intelligent systems in the cabin
The collection of data has meanwhile been tested in many other research projects and can be regarded as a nearly achieved state of the art in the sense of the terms "cloud" and centralised "big data", for which an economic implementation now represents the next step. Data analysts can use it to gain information for improved airline business processes. With regard to the aircraft, the focus has so far been on connectivity and wireless communication inside and outside the cabin, and so-called intelligent systems have mainly been geared towards data collection (on board or on the ground) and possibly data analysis for condition diagnosis. However, the approach of distributed intelligence and decentralised learning of individual instances - similar to natural systems - is strongly complementary and has not yet been explored for the aircraft system.

The aim of the TUHH sub-project is therefore to design for the first time an architecture for an artificially intelligent cabin system, which is located in the aircraft and achieves and unfolds its function and effect within the catering processes and the catering value network through digital communication and machine learning. The designed architecture is to be transferred to an experimental setup, examined and tested in the project together with the partners. For the architecture design, the TUHH uses tools and methods of model-based systems engineering with the semi-formal language SysML (Systems Modelling Language), which it has already applied and tested in previous projects. Furthermore, it is testing and using technologies for cyber-physical cabin systems, which are available in the laboratory of the Institute for Aircraft Cabin Systems and are to be expanded and extended to artificially intelligent systems for digitalisation in aviation.

Project duration: September 01, 2020 - 31. Mai 2024
Funding Code: 20D1928C