Grant: Alliance Grants

Numerical simulations are commonly used in the aerospace industry, for example, to analyze the structural integrity of fuselages or even the risk of collision with avian fauna near an airport. However, there is no integrated method for numerically analyzing the risk associated with drone operations beyond visual line-of-sight (BVLOS), a necessary step in the Specific Operational Risk Assessment (SORA) process required to authorize a mission. Therefore, we propose developing a comprehensive data processing pipeline for generating synthetic data from a sophisticated simulation environment of a flight corridor. This includes meteorological conditions, ground infrastructure, airspace traffic interactions, and even the quality of communication links for drone operation. This system will be fueled by both historical and real-time data. It will enable three-dimensional visualization of various events that may occur, and an automated risk analysis will provide recommendations to reduce risks associated with certain operations. The project will provide training for up to seven master's and doctoral students in direct collaboration with key industry players and in cutting-edge fields such as numerical simulation, aircraft flight dynamics, 3D visualization, operations research, and big data management. The valorization of synthetic data for critical decision making is at the core of our partners' mission for a world that is safe and secure, and the operational support envisaged by the project will contribute significantly to increasing the effectiveness of safety analysis documentation for their specific operations, as well as providing an additional tool for training personnel involved in the planning and execution of flight operations.