A major concern when dealing with test, validation and in-flight fault diagnosis of On-Board Software, whose complexity is continuously increasing, thanks notably to the increased computational power provided by modern microprocessors, is the level of observability that is provided to software and hardware engineers. In general terms, the more observability is provided to the engineering teams, the easier it is to diagnose an anomaly. Classical observability mechanisms are not enough to provide the needed observability of nowadays avionics systems. 

The activity is aiming at developing a new generation of mass memories able to support File Based Operations while sustaining high data throughput and providing large capacity.

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. 

•On-board disturbance sources such as solar array drive mecha

• Enforce the use of the physical engineering model that TAS-F already has by sub-system architects in order to have the model as a central source of truth
• Produce an interactive representation of the model allowing its consultation without having to install dedicated modelling tools
• Produce trend graphs on system budgets
• Produce document generation capability to export graphs and tables to the system and subsystem budget reports

In the short term, the results of this study shall ease the definition of the new generation of on-board architecture and their verification using representative scenarios. In addition, the results of this study should be taken into account in the definition of a new version of the SpaceWire switches and possibly to provide inputs to the next version of the SpaceWire standard.

This study aimed to achieve the following objectives:

• To anticipate the security needs and requirements of future space missions (Earth observation, communication, navigation, science, exploration, etc.) with respect to architectures considered for future missions.

• To build an advanced security architecture portfolio embedding state-of-the-art security concepts, technics, technologies, components and solutions.