Discrete event formalism to calculate acceptable safety distance

The aim of this paper is to present a dimensioning tool for fuelbreaks. It focuses on the overall approach and specifically mapping a physical model to a DEVS model, mapping a DEVS model to a DEVS service, and the client that communicates with the server. In order to assist the firefighters, we focus on a Web Service based on different software tools that can be used by firefighters to forecast fuelbreak safety zone sizes. This Web Service uses a simulation framework based on DEVS formalism, a theoretical fire spreading model developed at the University of Corsica and to display the results on a Google Map SDK. The SDK is embedded in a mobile application for touchscreen tablet. The application sends a request to our DEVS Web Service, with its geolocation, and in response receives data sets that allow to draw the safety distance.

[1]  Gabriel A. Wainer,et al.  Distributed Simulation and Web Map Mash-Up for Forest Fire Spread , 2008, 2008 IEEE Congress on Services - Part I.

[2]  Gabriel A. Wainer CD++: a toolkit to develop DEVS models , 2002, Softw. Pract. Exp..

[3]  Bernard P. Zeigler,et al.  DEVS today: recent advances in discrete event-based information technology , 2003, 11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2003. MASCOTS 2003..

[4]  Jean-Baptiste Filippi,et al.  An experimental frame for the simulation of forest fire spread , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

[5]  Vladimír Janoušek,et al.  TOWARDS DEVS META LANGUAGE , .

[6]  Hans Vangheluwe Multi-formalism modelling and simulation , 2000 .

[7]  Bernard P. Zeigler,et al.  DEVS-based simulation web services for net-centric T&E , 2007, SCSC.

[8]  E. De Gentili,et al.  A fuzzy approach of modeling evolutionary interfaces systems , 2006, 2006 First International Symposium on Environment Identities and Mediterranean Area.

[9]  Josep Arnaldos,et al.  Establishing safety distances for wildland fires , 2008 .

[10]  Bernard P. Zeigler,et al.  Theory of modeling and simulation , 1976 .

[11]  Albert Simeoni,et al.  An analytical model based on radiative heating for the determination of safety distances for wildlan , 2011 .

[12]  Raphaël Duboz,et al.  The Virtual Laboratory Environment - An operational framework for multi-modelling, simulation and analysis of complex dynamical systems , 2009, Simul. Model. Pract. Theory.

[13]  Gabriel Wainer,et al.  Methods for special applications: Cell-DEVS quantization techniques in a fire spreading application , 2002, Winter Simulation Conference.

[14]  Paul-Antoine Santoni,et al.  The contribution of radiant heat transfer to laboratory-scale fire spread under the influences of wind and slope , 2001 .

[15]  Norbert Giambiasi,et al.  A Generalized Discrete Event System (G-DEVS) Flattened Simulation Structure: Application to High-Level Architecture (HLA) Compliant Simulation of Workflow , 2010, Simul..

[16]  F. A. Williams,et al.  Urban and wildland fire phenomenology , 1982 .

[17]  Bernard P. Zeigler,et al.  DEVSML: automating DEVS execution over SOA towards transparent simulators , 2007, SpringSim '07.

[18]  Jean-Louis Rossi,et al.  Physical Modeling of Surface Fire Under Nonparallel Wind and Slope Conditions , 2010 .

[19]  F. Al-Shamali,et al.  Author Biographies. , 2015, Journal of social work in disability & rehabilitation.

[20]  Gabriel A. Wainer,et al.  Cell-DEVS quantization techniques in a fire spreading application , 2002, Proceedings of the Winter Simulation Conference.

[21]  Gabriel A. Wainer,et al.  Distributed simulation of DEVS and Cell-DEVS models in CD++ using Web-Services , 2008, Simul. Model. Pract. Theory.

[22]  Bernard P. Zeigler,et al.  DEVS namespace for interoperable DEVS/SOA , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).