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DEVELOPMENT OF A MODEL OF FIRE PROPAGATION FOR THE IMPLEMENTATION IN ADAPTIVE TRAINING SIMULATORS

ass. Prof. Denis Dedov, Prof. Mikhail Krasnyanskiy, ass. Prof. Sergey Karpov, Artyom Obukhov, Aleksey Arkhipov

First published: 2017-06-20https://doi.org/10.5593/sgem2017/13/s03.031View metrics

Abstract

The problem of visualization of fires is relevant to the design of emergency situation simulators for industrial facilities involving a risk of fire or explosion. The effectiveness of a simulator depends on the accuracy of animation (visualization) used in this simulator. The present paper aims to build a mathematical model of fire spread at industrial facilities with regard to the associated processes of smoke generation, release of toxic combustion products and their influence on physical condition of an individual. The model is based on the results of the analysis of fire hazard properties of materials, mechanisms of fire occurrence, their distribution among the objects and the elimination of fires using fire-fighting equipment. The developed mathematical model is intended for application in adaptive simulators (ASs) created using virtual and augmented reality technologies. The developed fire spread algorithm was used as the basis for software implementation of the mathematical model in the AS, using Unity 3D development environment. The results of the study were used to find the fire spread visualization parameters in the AS through simulated emergencies occurring in the manufacture of dyes and pigments at PJSC "Pigment" (Tambov, Russia).

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Publication details

Title
DEVELOPMENT OF A MODEL OF FIRE PROPAGATION FOR THE IMPLEMENTATION IN ADAPTIVE TRAINING SIMULATORS
Authors
ass. Prof. Denis Dedov, Prof. Mikhail Krasnyanskiy, ass. Prof. Sergey Karpov, Artyom Obukhov, Aleksey Arkhipov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2017
Pages
241-252
SWS Citekey
Dedov20173241252
ISSN
1314-2704
ISBN
978-619-7105-00-1
Language
en
Publication type
Conference Paper
Keywords
firesmathematical modeladaptive training complexvisualization
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