Video & slides coming soon!
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The use of Unmanned Aerial Vehicles (UAVs), specifically VTOLs, in search and rescue missions is key for quickly locating victims in emergencies. This presentation will focus on designing and validating an integrated system, composed of search and rescue drones, utilizing Model-Based Systems Engineering (MBSE) with Capella to ensure coordination between mission components. Capella ensures all elements work together efficiently, optimizing response in critical situations.
Search drones, equipped with high-resolution cameras, thermal sensors, and GPS, detect, track, and map difficult-to-reach areas, facilitating precise identification of victims in complex environments. Capella ensures the correct integration of these drones with other mission systems, such as rescue drones and ground teams, ensuring smooth transfer of critical data like victims' location and terrain conditions. This optimizes decision-making and real-time coordination, maximizing mission effectiveness.
The rescue drone, in addition to transporting medical supplies, can carry two rescuers directly to the victim for necessary rescue and evacuation tasks. Capella facilitates traceability of requirements for both systems (search and rescue), addressing critical aspects for mission success.
Integrating advanced technologies like AI and machine learning enhances real-time decision-making, improving victim detection. Using MBSE and Capella ensures that each system component is validated and effectively integrated into the mission, which is crucial for increasing rescue mission effectiveness.