FireGrid: An e-infrastructure for next-generation emergency response support

Authors:
Liangxiu Han;Stephen Potter;George Beckett;Gavin Pringle;Stephen Welch;Sung-Han Koo;Gerhard Wickler;Asif Usmani;José L. Torero;Austin Tate
Affiliations:
School of Informatics, The University of Edinburgh, Edinburgh, UK;Artificial Intelligence Applications Institute, The University of Edinburgh, Edinburgh, UK;Edinburgh Parallel Computing Centre, The University of Edinburgh, Edinburgh, UK;Edinburgh Parallel Computing Centre, The University of Edinburgh, Edinburgh, UK;BRE Centre for Fire Safety Engineering, The University of Edinburgh, Edinburgh, UK;BRE Centre for Fire Safety Engineering, The University of Edinburgh, Edinburgh, UK;Artificial Intelligence Applications Institute, The University of Edinburgh, Edinburgh, UK;BRE Centre for Fire Safety Engineering, The University of Edinburgh, Edinburgh, UK;BRE Centre for Fire Safety Engineering, The University of Edinburgh, Edinburgh, UK;Artificial Intelligence Applications Institute, The University of Edinburgh, Edinburgh, UK
Venue:
Journal of Parallel and Distributed Computing
Year:
2010

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Abstract

The FireGrid project aims to harness the potential of advanced forms of computation to support the response to large-scale emergencies (with an initial focus on the response to fires in the built environment). Computational models of physical phenomena are developed, and then deployed and computed on High Performance Computing resources to infer incident conditions by assimilating live sensor data from an emergency in real time-or, in the case of predictive models, faster-than-real time. The results of these models are then interpreted by a knowledge-based reasoning scheme to provide decision support information in appropriate terms for the emergency responder. These models are accessed over a Grid from an agent-based system, of which the human responders form an integral part. This paper proposes a novel FireGrid architecture, and describes the rationale behind this architecture and the research results of its application to a large-scale fire experiment.