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Modern fire safety engineering for the future built environment

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Impact assessment of emerging situation and grid results. Reacts to issues and events ... Designers. Core. Team. Support. Team. 10/22/04. 21. Next Steps. Bid ... – PowerPoint PPT presentation

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Title: Modern fire safety engineering for the future built environment


1
Modern fire safety engineering for the future
built environment
2
Kings Cross
3
Emergency Responders
  • Human
  • Fire stewards, Building management
  • Firefighters
  • Remote management / experts
  • Active (detection and suppression) systems
  • Detectors, Alarms, PA systems
  • Evacuation direction indicators
  • Fire Extinguishers
  • Sprinklers
  • Air Vents
  • Fans
  • Pressurisation systems
  • Computer based control systems

4
FireGrid Vision
Grid
1000s of sensors gateway processing
Emergency Responders
KBS and Planning
Remote Experts
Maps, models, scenarios
Super-real-time simulation (HPC)
5
FireGrid Modes
  • Design Mode
  • Modelling
  • Scenarios
  • Emergency Response Mode Phase 1
  • Sensing
  • Transmission
  • Analysis / Decision / Phase 1 Response
  • Emergency Response Mode Phase 1
  • Modelling / Simulation
  • Forecast
  • Analysis / Decision / Phase 2 Response

6
Mont Blanc Tunnel Fire
Traffic stopped
Fans turned on in wrong direction!
Enhancement of smoke and fire
Intervention made difficult by poor initial
response
7
Mont Blanc Tunnel Fire FireGrid
8
FireGrid Architecture
9
Technology integrations
10
A series of projects
  • FireGrid Consortium (EPSRC funded network)
  • Bringing together the parties needed to make the
    vision a reality
  • Deliver workshops, community building, research
    framework
  • Advanced research topics - EPSRC
  • Exploit the research opportunities provided by
    the technology
  • Deliver research papers, better models,
    technologies, etc.
  • FireGrid Prototype - (DTI Technology Programme?)
  • Undertake the research needed to integrate the
    core technologies
  • Deliver. research papers, technical
    understanding, FireGrid Mk 1
  • Deployment demonstrator (Industry, DTI, EU?)
  • Undertake the RD needed to deploy the system in
    practice
  • Deliver deployed FireGrid systems, commercial
    framework

11
Grid Research Issues
  • Sensor-guided simulation
  • Integration of sensor data
  • active updating of data filters for key events
  • verification w.r.t. fire signatures
  • Indexing of scenarios
  • Integration of CC system
  • Dynamic discovery of resources
  • Pre-emptive scheduling service
  • Co-ordination of all remote resources people
  • Security analysis for a deployed emergency
    response system
  • QoS analysis for a deployed emergency response
    system

12
Fire Simulation Field Models
  • Solves transient equations of motion
  • High Resolution
  • Includes most of necessary physics
  • Adequate accuracy
  • Very computer intensive unless coarse grid is
    used
  • Not suitable for super-real-time computations

13
The FireGrid Solution
  • Computations coupled with sensor input
  • Field Models initialize the computations for
    short periods
  • Simple functions (i.e. polynomials) used to
    reproduce the details of flow and temperature
    gradients
  • yC1xn C2xn-1 C3xn-2
  • Functions generated by initialization
    computations (y)
  • Constants defined by sensor feedback (Cn)
  • Constant sensor feedback until constants converge
  • Result Super-real-time without loosing details

14
Firegrid Sensor Network Research Issues
  • Potentially gt10000 sensors distributed across
    Buildings and Plant
  • Many different types of sensors (e.g. smoke, CO,
    Temp, etc)
  • Type and range of information different in scale
  • Limited in power, computational capacity and
    memory
  • Conventional MACs and protocols not appropriate
  • Security
  • Physical security of communications (i.e.
    multiple routes)
  • Authentication of data (i.e. false alarms)
  • Data rates from individual sensors modest
  • Updates 0.1-1s interval with a few kilobits per
    sensor
  • Processing and data mining of sensor data
  • Detection of subtle changes in environment
  • Identifying key events for command and control

15
Technical requirements
  • Self-configuring and healing infrastructures
  • Survivability in dynamic environment without
    infrastructure
  • Automated assessment/exposure of uncertainty to
    focus other assets
  • Localisation of nodes
  • Deployment
  • Access dangerous/inaccessible locations
  • Achieve 3D spatial density
  • Adaptive signal processing, data filtering,
    analysis
  • In network processing to address data overload
    and energy scarceness
  • Combining and interpreting in the context of
    other data sources

16
Self-Configuring Routing Control
  • Linked Cluster Ad Hoc Routing Algorithm
  • Network self-organizes under a variety of
    delivery mechanisms without prior knowledge of
    network
  • Adapts to mobility, channel effects, node
    destruction or failure
  • Energy-aware routing reconfiguration
  • Control Architecture
  • Autonomously establishes maintains the sensor
    network
  • Supports range of operationalscenarios
  • Enables low-overhead security

Cluster Routing Algorithm
17

FireGrid Command Control
  • Draws on DARPA/AFRL/QinetiQ/EPSRC work on I-X
  • Operational Area Map and 3D View Front-ends (for
    free)
  • Collaborative Multi-agent Framework
    (humans/systems)
  • Bridge between Grid Services and Emergency
    Responders
  • Grid Services and Semantic Grid Services
    Integration
  • Grid Services Composition and Use
  • Grid Fire Simulation Steering
  • Show utility of Simulation Results to decide
    intervention
  • Impact assessment of emerging situation and grid
    results
  • Reacts to issues and events
  • Plan communication, delegation and dynamic repair

18
(No Transcript)
19

Core Team
  • Institute of Infrastructure Environment (IIE),
    UoE
  • Asif Usmani, Jose Torero, Stephen Welch, Dougal
    Drysdale (modelling of fire and structures)
  • Institute of Digital communications (IDCOM), UoE
  • Steve Mclaughlin (sensors and communications)
  • Artificial Intelligence Applications Institute
    (AIAI), UoE
  • Austin Tate, Stephen Potter (knowledge-based
    systems and planning)
  • NeSC and EPCC, Edinburgh
  • Malcolm Atkinson, Dave Berry, Rob Baxter, Mark
    Bull, Arthur Trew (Grid and HPC)
  • Dept. of Civil Environmental Eng., Imperial
    College
  • Bassam Izzuddin, Ahmad Elghazouli (structural
    mechanics sofware)

20
Support Team
Core
Team
21
Next Steps
  • Bid to EPSRC on Sensor Grid integration
  • Build on existing work
  • Explore FireGrid-specific issues
  • Bid to EPSRC on Sensor Design
  • Sensors in Extreme Environments A New
    Generation Fire Sensors
  • Bid to EPSRC on structural testing
  • Coupled Testing and Computation in study of
    laterally restrained heated RC slabs
  • FireGrid Prototype
  • Undertake the RD needed to integrate the core
    technologies

22
Thank you
  • http//www.see.ed.ac.uk/firegrid/
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