Search

2 results found
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

Filter by programme:

Filter by start year:

Filter by end year:

Filter by keywords:

Filter by contractor:

Filter by country:

Filter by application domain:

Filter by competence domain:

Filter by technology domain:

Filter by status: