Nebula Public Library

The EasyMOD project takes place in the OSIP Model-Based System Engineering Campaign as an Early technology Development of ESA, as well as an IRT Saint Exupéry project funded by Airbus Defence and Space, Airbus Commercial Aircraft, HDGroup and the French Government. It aims at improving the human/machine interactions in the use of MBSE models, by providing friendlier visualisation and review capabilities, modelling assistants and new kind of HW and SW interfaces.

The goal of the project was to develop a service as a product to simplify fitting DNN (Deep Learning Neural Networks) in on board HW to make better use of AI on space missions The role of the service is to support data processing engineers in reducing HW resources requirement of powerful DNN for image analysis to be executed onboard. 

Electrical, Electronic and Electro-mechanical (EEE) components play an essential role in the functional performance, quality, life cycle and costs of space systems. EEE components are fundamental building blocks of any spacecraft and major drivers in determining their performances. Guaranteeing access to EEE components able to provide the necessary performances to comply with the requirements of future satellite missions is of paramount importance to maintain a successful and autonomous satellite manufacturing capabilities.

Model based approaches have proved to be efficient in supporting engineering activities, models replacing traditional document-based approaches. Nevertheless even in most advanced deployments, a lot of engineering artifacts are textual either because the return on investment of introducing models is too low on this particular case or because the information is more efficiently expressed in natural language even if consistency and correctness issues appears.