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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
Exploiting AI capabilities to facilitate and assist the evaluation process of ideas submitted in the OSIP platform – FEPOSI (Facilitating the Evaluation Process of Open Space Ideas)

The general goal of this project is to operationalize and deepen the findings and conclusions of the initial project “Exploring AI capabilities to support the evaluation process of ideas submitted in the OSIP platform.” which demonstrated that AI techniques and software (COGITO Discover) could be used positively to enhance and ease the evaluation of ideas, by providing some new indicators such as idea novelty (scoring 0-100) based on the notion of similarity between ideas and innovation projects.

Spain

21-D-O-TEC-02

EXPERT SYSTEM IBERIA SLU
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
Early in the loop MBSE assessment of electronic availability for nano/micro-satellites (ELMASAT)

The main objective of the ELMASAT study was to brint into Capella the means to calculate the availability of a satellite system and provide extra facilities for trade-off analysis. As an example of application, an assesment of SEE detection and mitigation strategies was performed with respect to availability objectives.

France

20-D-T-TEC-04-g

IRT Saint-Exupery
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
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
Harmonising MBSE standards into ECSS – Model-Based System Engineering – Study Scheme

ESA has traditionally specified space systems using a document-based approach, and is now in a transition process towards the digitalisation of systems engineering activities. At the same time, space industry companies have their own internal set of best practices and experience with Model-Based Systems Engineering (MBSE).

To solve this problem, ESA initiated this study led by CGI in partnership with OHB to identify a way to harmonise the different MBSE approaches from industry and compile the information into a concise book.

Germany

20-D-S-TEC-04-c

CGI Deutschland B.V.

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