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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Disasters and Emergency Management in Chemical and Industrial Plants: Drones Simulation for Education and Training
verfasst von : Agostino Bruzzone, Francesco Longo, Marina Massei, Letizia Nicoletti, Matteo Agresta, Riccardo Di Matteo, Giovanni Luca Maglione, Giuseppina Murino, Antonio Padovano
Erschienen in: Modelling and Simulation for Autonomous Systems
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Abstract
The use of simulation for training is proven to be extremely effective both in term of costs and in term of its flexibility for different uses and applications, such as building situation awareness and creating scenarios for training scopes. The aim of the project proposed is to demonstrate the powerful rule of simulation in UAV pilots’ cooperative training; the project presented makes use of a 3D simulation environment in order to build a realistic condition of an emergency situation in a chemical plant for the first responders. The model proposed makes use of HLA (High Level Architecture) standards in order to be potentially federated with other existing simulators.
In the solution proposed, the pilot of the drone must accomplish the mission in a given time piloting a UAV; the scenario is based inside a chemical plant where a disaster is newly occurred. Then ability of the pilot is measured by the system and several constraints are reproduced to provide a realistic training scenario (such as small spaces and barriers to overcome, battery durations, risks of damages due to high temperatures zones, etc.); the system records and tracks all the actions of the pilot and gives a feedback to the user at the end of the simulation time.