Abstract
The use of Autonomous Systems to monitor pollution of TIC/TIM (Toxic Industrial Materials/Toxic Industrial Chemical) or to track a CBRN (Chemical, Biological, Radiological and Nuclear) crisis could help to quickly and effectively assess the risks, in addition the combination of these assets with Simulation and Artificial Intelligence further reinforces their effectiveness. This paper proposes an approach to apply their coordinated uses combining the Simulation results of diffusion models able to suggest where to go and what to measure with a Smart Control based on Intelligent Agents to direct their movements and actions. In this paper scenario are proposed different potential cases related to release of contaminants; the hypotheses move from an industrial Plants to hazardous material spill during transportations, while the specific case analyzed is related to Maritime Logistics. In this paper, it is introduced the scheme of the AI solution to be adopted in joint cooperation with simulation to control the drones devoted to assess the situation and improve reliable evaluation of crisis evolution.
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Bruzzone, A.G. et al. (2023). Cooperative Use of Autonomous Systems to Monitor Toxic Industrial Materials and Face Accidents & Contamination Crises. In: Mazal, J., et al. Modelling and Simulation for Autonomous Systems. MESAS 2022. Lecture Notes in Computer Science, vol 13866. Springer, Cham. https://doi.org/10.1007/978-3-031-31268-7_13
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