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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
UNIVERSITY OF STRATHCLYDE
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.
ScopeSET
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.
UNIVERSITY OF STRATHCLYDE
This activity investigates how mega-constellations can be used to provide low-Earth orbit (LEO) spacecraft with broadband low-latency services, a novel Concept with potential to disrupt spacecraft design, operation, and performance by allowing spacecraft to access mega-constellations’ enormous resources (Tbit/s throughputs) and global coverage at a lower cost than traditional data relay systems and ground station networks (two to fifty times cheaper, that is, a few hundred to a few thousand dollars per month for a daily net capacity from hundredths of Gbit up to almost ten Tbit).
Vyoma
The OPS-SAT MBSE activity had the 3 main objectives:
Samares Engineering
Space system engineering is a complex activity, spanning multiple phases and involving different stakeholders using a variety of engineering approaches and tools. ESA has been investing in Model-Based System Engineering (MBSE) research for many years, developing different MBSE frameworks and Domain Specific Tools (DSTs). Recently, a broader need has been recognized to focus the MBSE efforts on semantic interoperability and associated model integration.
Spacecube GmbH
The main objective of the project is the reverse engineering of the OPS-SAT system, creating a model of the existing system design. The model aims to be built in a way that it is most useful for OPS-SAT engineers to understand and discuss the existing design and use this as a basis for further development of the OPS-SAT system.
OHB System AG
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.
Thales Alenia Space
This work has primarily focused on establishing scenarios where inflatable devices could be the most useful. Given that these missions rely on aerodynamic drag that results in (potentially significant) heating, the authors have sought to find solutions to minimize heat fluxes acting on the device surface, and especially keeping it within the limits of flexible/foldable TPS materials for the aerocapture scenario.
Spin.Works
The main objective of the OMAR Mission Architecture study is to identify and trade-off different mission architectures, to provide different services on-orbit. For each of the relevant scenarios, this objective shall be achieved by defining the associated system functional analysis and by trading-off different architectures and concepts of operations. Furthermore, the impact of aspects such as: operational orbit, type of serviced satellites, services provided, different levels of autonomy, and any other relevant factors is to be assessed.
OHB System AG
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