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MBSE enhanced by Semantic DataLake integration and Machine Learning

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.

Germany

20-D-T-TEC-04-h

ScopeSET
System Engineering Models meet Knowledge Graphs

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.

UK

20-D-S-TEC-04-a

UNIVERSITY OF STRATHCLYDE
On the Use of Mega-Constellation Services in Space

On the Use of Mega-Constellation Services in Space, funded by ESA’s Open Space Innovation Platform (OSIP), 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

Germany

S 2020-03

Vyoma
Application of MBSE to reverse-engineer OPS-SAT and improve OPS-SAT2

The OPS-SAT MBSE activity had the 3 main objectives:

France

20-D-S-OPS-01-a

Samares Engineering
End-to-End System Engineering Portal (ESEP)

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.

Germany

20-D-T-TEC-04-d

Spacecube GmbH
Application of MBSE to reverse-engineer OPS-SAT and improve OPS-SAT2

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.

Germany

20-D-S-OPS-01-b

OHB System AG
Artificial intelligence (AI) and natural language processing (NLP) to support space engineering activities

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.

France

20-D-T-TEC-04-n

Thales Alenia Space
Inflatable Systems for Aerocapture and Aerobraking

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.

Portugal

19-D-S-OPS-02

Spin.Works
Design for Recycling - Mission architectures to manufacture, refurbish and recycle satellites on-orbit

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.

Germany

19-D-S-TEC-02

OHB System AG
MBSE Deployment for EnVision Science Mission Study
  • 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
France

20-P-M-SCI-02

Thales Alenia Space

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