In emergencies, internet can be cut which hinders communication for response/rescue. MOSIMTEC worked with Danish university students to create a UAV model to meet this need.
The students evaluated key parameters such as the optimal number of drones to provide Wi-Fi to the affected area, drone control algorithms, battery capacity, cost feasibility and the number of base stations. They conducted two simulations using two software programs and evaluated nine types of drones, flight time, Wi-Fi distance and other factors to identify best results. Other potential use cases include using UAVs for visual imaging/3D mapping, assessing structural damage and delivering emergency infrastructure and supplies.
Emergencies/disasters are increasing due to climate change and other factors. Using UAVs to provide solutions is complex – technology selection, battery life, base stations, control algorithms, payload capacity, cost, data management and other factors need to be considered. Simulation modeling can help. Develop plans virtually using day in the life simulation, capability assessment, network optimization and restrictions modeling to optimize performance. MOSIMTEC data scientists/industrial engineers can help you be ready for the challenge.