Model Based Mission Engineering - Virtual Demonstrator
Context
The systematic use of Modeling and Simulation (M&S) is emerging as a key approach for exploring complex system missions. As systems grow in complexity, the need for transdisciplinary analysis becomes increasingly critical. The rapid advancements brought by Industry 4.0 are revolutionizing how we understand and manage complex systems, creating new opportunities for enhanced decision-making, training, and support tools.
To address these challenges, we are developing a framework for structuring multi-domain simulation scenarios across sea, air, land, cyber, and space domains [1]. Complex problems require equally sophisticated solutions, making it essential to provide decision-makers with tools that enhance their understanding of system interoperability and the impact of their choices.
This project aims to deliver a comprehensive simulation infrastructure, enabling interactive simulations alongside a structured methodology for:
- Scenario design
- Variability management
- Result validation techniques
By integrating these elements, we seek to provide robust tools that empower professionals to navigate the evolving landscape of complex systems engineering effectively.
Expected Results:
- Simulation infrastructure composed of servers, scenario generation software in virtual environments, user terminals and interaction interfaces with virtual and live simulation;
- Transdisciplinary structuring methodology and scenario variability for structuring operational capabilities in missions of critical complex systems, including validation techniques of operation concepts and scenarios.
Participants
Former participants: Ariane Novaes, Matheus Cogo, Guilherme Mattos and Angelo Florentino.
Academic Productions
Publications
Final works (bachelor capstone, master or phd)
Results
CONCEPT.IO ARENA
Research and development of a simulation back-end, interactive user interfaces, and analysis tools to design and execute multi-domain (Joint All-Domain) mission scenarios with enhanced complexity and interoperability.
SET-C
Research and development of an AI-enhanced Model-Based Systems Engineering (MBSE) IDE, leveraging insights from the application of SysML, Arcadia, OPM and classical representations to improve the design and analysis of complex systems.
Data:
- Project in the amount of R$ 4,000,000.00, financed by FNDCT via FINEP.
- Started in March 2022 with a duration of 4 years.
- Executed by ITA.
- Supported by FCMF.
* Extended for more three years with the FINEP's CET-ADS Umbrella Project, started in December 2024, with an amount of R$ 2,000,000.00.