The space industry and allied agencies have long acknowledged the interest and added value of Model-Based System Engineering in expediting the design, development, deployment, and verification of space systems. The definition of models and equipment that can serve the diverse objectives of system engineering process has been the focus of numerous initiatives over the past few decades. The next stage is to employ MBSE broadly throughout the system life cycle across disciplines and the supply chain.

The D2OPS activity started with the goal of applying MBSE practices to enable digital continuity between design and operations. This study involves the following main activities:

Main achievement: Development of the first blockchain ecosystem for space system engineering, as a global configuration tool that can model the business logic of concurrent design. Addressing the MBSE challenges of  controlling data exchange and traceability across system development and operations lifecycle.

Results: Two use cases have been successfully implemented

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.

• • Ship Detection: Reduce the processing time; ;

The Integrated MBSE Analytics Platform (IMAP) has been developed in the course of the OSIP [OSIP] MBSE campaign’s MBSE2DataLake project. It demonstrates how MBSE data can be downstreamed from early phases and integrated with Telemetry data or system operations data. Applying MachineLearning analytics and customized visualization on these sets of integrated data provides seamless analysis capabilities and data browsing experience for the user. The approach leads to linking the former separated domains of System Design and AIT/Operations.

The MBSE and Space to Ground ICD activity started with the goal of applying MBSE practices to the preparation of the Space to Ground ICD (S2GICD). This study involves the following main steps:

Tables and graphs are knowingly used to organise data within a company with different levels of depth and complexity. Knowledge graphs (KGs) are particularly useful because they can cope with data diversity (high-quality complete data and sparse and incomplete data), they have a high degree of scalability and flexibility (the semantic data model can be inter-operational, large, wide and as deep as needed) and, last but not least, they provide reasoning and inference capabilities.

Remote detection and mapping of floating marine plastic litter (FMPL) from space needs to operate in synergy with clean up actions. This implicates that an observation system is needed combining high revisit and high spatial resolution. Currently there is no single remote sensing technology with sufficient revisit capabilities and spatial/spectral resolution relevant to FMPL dynamics. Therefore a combination of small drones, satellites and High Altitude Pseudo-Satellite (HAPS) is anticipated to provide the long term sustainable technical solution.