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Proceedings Paper

PYRONES: pyro-modeling and evacuation simulation system
Author(s): Tassos Kanellos; Adam Doulgerakis; Eftichia Georgiou; Vassilios I. Kountouriotis; Manolis Paterakis; Stelios C. A. Thomopoulos; Theodora Pappou; Socrates I. Vrahliotis; Thrasos Rekouniotis; Byron Protopsaltis; Ofir Rozenberg; Ofer Livneh
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Paper Abstract

Structural fires continue to pose a great threat towards human life and property. Due to the complexity and non-deterministic characteristics of a building fire disaster, it is not a straightforward task to assess the effectiveness of fire protection measures embedded in the building design, planned evacuation strategies and potential modes of response for mitigating the fire’s consequences. Additionally, there is a lack of means that realistically and accurately recreate the conditions of building fire disasters for the purpose of training personnel in order to be sufficiently prepared when vis-a-vis with such an environment. The propagation of fire within a building, the diffusion of its volatile products, the behavior of the occupants and the sustained injuries not only exhibit non-linear behaviors as individual phenomena, but are also intertwined in a web of co-dependencies. The PYRONES system has been developed to address all these aspects through a comprehensive approach that relies on accurate and realistic computer simulations of the individual phenomena and their interactions. PYRONES offers innovative tools and services to strategically targeted niches in two market domains. In the domain of building design and engineering, PYRONES is seamlessly integrated within existing engineering Building Information Modelling (BIM) workflows and serves as a building performance assessment platform, able to evaluate fire protection systems. On another front, PYRONES penetrates the building security management market, serving as a holistic training platform for specialists in evacuation strategy planning, firefighters and first responders, both at a Command and Control and at an individual trainee level.

Paper Details

Date Published: 17 May 2016
PDF: 18 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 984216 (17 May 2016); doi: 10.1117/12.2223162
Show Author Affiliations
Tassos Kanellos, National Ctr. for Scientific Research Demokritos (Greece)
Adam Doulgerakis, National Ctr. for Scientific Research Demokritos (Greece)
Eftichia Georgiou, National Ctr. for Scientific Research Demokritos (Greece)
Vassilios I. Kountouriotis, National Ctr. for Scientific Research Demokritos (Greece)
Manolis Paterakis, National Ctr. for Scientific Research Demokritos (Greece)
Stelios C. A. Thomopoulos, National Ctr. for Scientific Research Demokritos (Greece)
Theodora Pappou, SOFiSTiK Hellas S.A. (Greece)
Socrates I. Vrahliotis, SOFiSTiK Hellas S.A. (Greece)
Thrasos Rekouniotis, SOFiSTiK Hellas S.A. (Greece)
Byron Protopsaltis, SOFiSTiK Hellas S.A. (Greece)
Ofir Rozenberg, Elbit Systems Ltd. (Israel)
Ofer Livneh, Elbit Systems Ltd. (Israel)


Published in SPIE Proceedings Vol. 9842:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

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