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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Austin, R.: Unmanned Aircraft Systems: UAVS Design, Development and Deployment. Wiley, Hoboken (2010). ISBN 978-047005819-0
Berni, J.A.J., Zarco-Tejada, P.J., Suárez, L., Fereres, E.: Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Remote Sens. 47(3), 722–738 (2009)
Bruzzone, A.G., Longo, F., Agresta, M., Di Matteo, R., Maglione, G.L.: Autonomous systems for operations in critical environments. In: Proceedings of the Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems (MSCIAAS 2016) and Space Simulation for Planetary Space Exploration (SPACE 2016) (2016)
Bruzzone, A.G., Massei, M., Agresta, M., Tremori, A., Longo, F., Murino, G., De Felice, F., Petrillo, A.: Human behavior simulation for smart decision making in emergency prevention and mitigation within urban and industrial environments. In: Proceedings of the 27th EMSS European Modeling & Simulation Symposium (2015)
Casbeer, D.W., Beard, R.W., McLain, T.W., Li, S.M., Mehra, R.K.: Forest fire monitoring with multiple small UAVs. In: Proceedings of the American Control Conference, vol. 5, pp. 3530–3535 (2005)
Longo, F., Bruzzone, A.G., Vetrano, M., Padovano, A.: Drones based relief on moon disaster simulation. In: Proceedings of SpringSim, Pasadena, CA, USA, 3–6 April 2016
Tremori, A., Agresta, M., Ferrando, A.: Simulation of autonomous systems in the extended marine domain. Int. J. Simul. Process Modell. 11(1), 9–23 (2016)
Wilson, B., Mourant, R., Li, M., Xu, W.: A virtual environment for training overhead crane operators: real-time implementation. IIE Trans. 30, 589–595 (1998)
Hodicky, J.: Modelling and simulation in the autonomous systems’ domain- current status and way ahead. In: Hodicky, J. (ed.) Modelling and Simulation for Autonomous System. LNCS, vol. 9055, pp. 17–23. Springer, Heidelberg (2015)
Hodicky, J.: HLA as an experimental backbone for autonomous system integration into operational field. In: Hodicky, J. (ed.) Modelling and Simulation for Autonomous System. LNCS, vol. 8906, pp. 121–126. Springer, Heidelberg (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Bruzzone, A. et al. (2016). Disasters and Emergency Management in Chemical and Industrial Plants: Drones Simulation for Education and Training. In: Hodicky, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2016. Lecture Notes in Computer Science(), vol 9991. Springer, Cham. https://doi.org/10.1007/978-3-319-47605-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-47605-6_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47604-9
Online ISBN: 978-3-319-47605-6
eBook Packages: Computer ScienceComputer Science (R0)