Edinburgh Data-Intensive Research - FireGrid

FireGrid: Integrated emergency response and fire safety engineering for the future built environment

Jo.Newman — Thu, 24 Nov 2011 16:10:41 +0000

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Using Simulation for Decision Support: Lessons Learned from FireGrid

Liangxiu.Han — Fri, 27 Mar 2009 12:00:10 +0000

RAPID-ly Adding Domain-Specific Job Submission and Provenance Systems onto a Demonstrator e-Science Project

Jano.van.Hemert — Mon, 16 Feb 2009 15:55:51 +0000

NeSC Research Seminar Series

Speaker:

David Bacigalupo

Rapid is software for rapidly creating domain-specific portlet interfaces that allow jobs to be submitted to resources (e.g. Grid resources), including a wide range of features to "give computational science a friendly face".

In this seminar I will demo the results of my work on the FireGrid project since 1st Jan. in which I have been:

1.) Applying the Rapid software to FireGrid project scenarios

2.) Extending the above to include an initial provenance system - so the Rapid system archives all the information required to at a click re-run a particular experiment run for a particular experiment for a particular paper - and to compare the results to the archived original results.

3.) Providing a path for scientists with limited IT literacy to be exposed to the Rapid functionality step by step; from a mode that only provides basic Rapid functionality to Rapid in its entirety

4.) Providing a Rapid-based system that can be used when the FireGrid software is running in Urgent Computing mode. For example when the start time of a real-time job depends on the technical difficulties encountered setting up a real furnace, or when the start time depends on when a real fire starts.

Date and time:

Tuesday, 17 February, 2009 - 11:00

Length:

60 minutes

Location:

Leith

Projects:

FireGrid

Planning Emergency Movement for the Built Environment

Jano.van.Hemert — Tue, 10 Feb 2009 15:17:46 +0000

Student:

Thomas French

The goal of this project is to investigate methods for ﬁnding emergency movement plans in dynamic and uncertain environments, specifically buildings. Current techniques used to solve these problems, like (Opasanon, 2004), make unrealistic assumptions about human behaviour during emergency movement. For example, they assume that occupants travelling through a building do not directly interact, and, therefore, provide instructions that presume people who arrive at a decision point at the same time will split up if told to do so. In practice, it is not clear how this could be implemented and how it would be possible to distribute risk exposure fairly. Furthermore, empirical research on human behaviour during emergency evacuation (for example, (SFPE, 2002)) indicates that people tend to have a social response to evacuation; people act as a group and try to evacuate with people to whom they have some attachment. We explore approaches that model a limited social response in the route planning process.

Supervisors @ NeSC:

Jano.van.Hemert

Project status:

Finished

Degree level:

PhD

Other supervisors:

Austin Tate, AIAI; Stephen Potter, AIAI; Gerhard Wickler, AIAI; Jose Torero, School of Engineering

Subject areas:

e-Science

Algorithm Design

Genetic Algorithms/Evolutionary Computing

Projects:

FireGrid

Student project type:

PhD student project

References:

(Opasanon, 2004) S. Opasanon. On Finding Paths and Flows in Multicriteria, Stochastic and Time-Varying Networks. PhD thesis, University of Maryland, 2004. (SFPE, 2002) SFPE. SFPE Handbook for Fire Protection Engineering. National Fire Pro- tection Association, 3rd edition, January 2002.

New Staff: Dr David Bacigalupo

Jano.van.Hemert — Mon, 05 Jan 2009 10:38:35 +0000

We welcome David, who is going to work on both the FireGrid and NRP project. David previously lectured in the School of Informatics.

Topic of this submission:

New staff

Projects:

FireGrid

FireGrid Cluster for Next Generation Emergency Respond Systems

Jano.van.Hemert — Mon, 18 Aug 2008 15:18:42 +0000

The goal is to establish a cross-disciplinary collaborative community to pursue fundamental research for developing real time emergency response systems, using the Grid, beginning with fire emergencies.

The challenges are:
* Sensing: Data collection from the emergency location with instantaneous and continuous relay to the emergency response system (involving a large array of sensors communicating with each other as a network and with the response system via the Grid);
* Modelling: Simulation tools running in a predictive mode to model the evolution of the fire, establish its impact on the structure (and therefore predict the collapse), while also analysing the intervention alternatives and evacuation strategies;
* Forecast: All simulations, analyses and communications to be achieved faster than the evolution of the emergency in real time;
* Feedback: Processing of the continuously updated sensor and simulation data relayed back to the active response systems at the emergency location and to the emergency services to assist their intervention;
* Response: Effective co-ordination of all intervention by a command and control system using an intelligent execution support aid.

Acronym:

FireGrid

Web site:

http://www.firegrid.org/

Value:

£1.15M

Dates:

15 April 2006 to 14 April 2009

Partners:

EPCC, University of Edinburgh, UK

School of Engineering, University of Edinburgh, UK

Artificial Intelligence Applications Institute