wildfire prediction, mitigation and management experiment proposal
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Wildfire Prediction, Mitigation and Management Experiment Proposal. Prediction, Detection, Rapid Mitigation to save Lives , Forest, and Property in the State of Florida. Presented To: Charles H. Bronson Commissioner Department of Agriculture and Consumer Services. Introduction - PowerPoint PPT PresentationTRANSCRIPT
Prediction, Detection, Rapid Mitigation to save Lives, Forest, and
Property in the State of Florida
Wildfire Prediction, Mitigation and Management Experiment
Proposal
Presented To:Charles H. Bronson
CommissionerDepartment of Agriculture and Consumer Services
Agenda
• Introduction– Dr. Jim O’Brien, COAPS at Florida State University
• The AEgis Technologies Group Leadership– Mr. Lance Cooper, VP, the AEgis Technologies Group
• Experiment Goals– Mr. Paul Thielen, the AEgis Technologies Group
• Detailed Experiment Methodology– Modeling and Simulation
» Ms. Deborah Heystek, the AEgis Technologies Group» Dr. Eric Chassignet, COAPS at Florida State University
– Fire Chemistry Sensor» Dr. Milan Buncick, the AEgis Technologies Group
– ResponderNet Command Management Solution» Mr. Paul Thielen, the AEgis Technologies Group» Ms. Rhonda Copley, Praxsoft
• Summary– Mr. Paul Thielen
• Discussion– All
AEgis Technologies
About AEgis Technologies• Provides world-class modeling and simulation technical services, products, and professional training.• Small Business • Established in 1989 • Headquartered in Huntsville, AL•160+ Employees• 2005 Revenue $26.5M
Of our 160+ Employees• 37% have Master’s Degree or better• 63% have Engineering or CS degrees• 35% have Military Service experience
Relevant Facts• Recognized three times on INC Magazine’s “INC 500” list of the fastest growing privately held companies in America• Recognized on the Military Training Technology Top 100 list of companies that have made significant contributions to the military training industry• Recognized by the Better Business Bureau for Marketplace Ethics • Recognized by the Society of Financial Service Professionals for Ethics in the Business Community
Experiment Thesis
• AEgis Team brings 3 pillar integrated approach to Florida Division of Forestry
• Provides capability to predict, detect, and react to forest hot spots
• Allows visibility of personnel / assets to reduce risk and enhance responsiveness
Project Team
AEgis Technologies• MEMS/Micro-system Design & Development• Modeling and Simulation• Terrain Modeling/ GIS Application• System Integration• Test and Evaluation• Project Management
Florida State University• Thought leadership in Climate and Weather
Forecasting• Climate Prediction• High Resolution Weather including Chemistry
Transport• Fire effects on in situ weather• Experiment Delivery Center
Praxsoft• RFID Asset Management/Tracking Solution • In Situ Weather/Chemistry Detection• Data collection/dissemination
Oak Ridge National Lab• Mature Sensor Technology• Mature Electronics• Partnership for Technological Development
Modeling Data Analysis
• Predictive Forecasting of risk factors
• Direction of resources in advance of events
• Optimal resource employment/planning
• FSU/COAPS
• AEgis Technologies Group
• Praxis
• Division of Forestry
Model Analysisand Coupling
FARSITEFARSITE
Multi-Modal Approach to Sensor Placement Prediction
Fire Model
Weather Model
Climate Model
Chemical Model Global Atmospheric Model
CO2
CO
HCLC2H2
CH4
CH3OHH2O
Modeling and Simulation Activities
Teamed with the Florida State University Center for Ocean Atmospheric Prediction Studies (COAPS) to accomplish the following services:
• Identify appropriate Weather and Fire Forecast/Dispersion Models for inclusion in potential Multi-Modal Prediction System
• Conceptualize each selected model and identify input/output data for Multi-Modal Integration
• Execute Models as necessary to validate Model Data and forecast for Experiment area for Field Trial Events
• Create (Deliverable) Microclimate Fire Prediction Conceptual Model for implementation
• Create High Level Design (Deliverable) for Microclimate Fire Prediction System
Sensing/Monitoring Approach
• Integrate chemicals to detect fire initiation
• Evaluate sensor technologies to develop/combine approaches
• Prototype sensor for laboratory experiments
• Develop stand-alone prototype for generated field experiment
Fire Detection
Predominant Smoke Detection Techniques• Ionization Detection• Photoelectric Detection• Cloud chamber Detection
Preferred Smoke Detection Technique• Cloud Chamber Detection is the most sensitive smoke detection
technique.• Small handheld battery operated CCD systems are available for
integration.
Detection Pathways
Fire Type Other Factors
Smoke All Fires•Combustion Type•Transport Processes•Fuels
Heat Above Ground
Radiation Above Ground
Chemistry All Fires
Fire Chemical Detection
Fuel Type Gases
All Fires CO/CO2
Pine Hydrogen Chloride
Methanol
Formaldehyde
Ethylene
Ethylene Oxide
Cellulose Methane
Ethylene
Ethane
Formaldehyde
Grass, brush
Hardwoods
Coniferous
Organic Soil
Methane
Ethylene
Ethane
Formaldehyde
Formic Acid
Acetic Acid
Fires produce gaseous combustion byproducts which depend on fuel type and combustion
CO/CO2
Methanol
Formaldehyde
Ethylene
Acetic Acid
Formic Acid
Common Compounds
Low-power MEMS vapor sensors
• Chemical transduction:– Chemo-mechanical
(cantilevers)– Chemi-capacitive– Chemi-resistive
• Chemical coating identifies analyte vapor type – arrays for multiple vapor typing
• Devices are miniature, sensitive, fast response, electrical readout, low power
Seacoast Science Cyrano Sciences
MEMS array integration with mixed detection
Beam anchorBeam anchor
CoatingCoatingPolysilicon beamPolysilicon beam
Bottom plateBottom plate
SubstrateSubstrate
Cantilever (capacitive readout)
Coating
Plate Capacitor InterdigitatedC or R
Built-in temperature control
Ink-Jet Deposition
Fire Chemistry Sensors
• AEgis will produce a system that detects
– Smoke
– CO/CO2
– Methanol, Formaldehyde, Ethylene, Ethane, Acetic acid and Formic acid Identification and Acquisition of Detection Chemistry
• Validate fire chemistry model for FCS Device
• Conduct Laboratory Examination of fire chemistries and deliver testable Lab Prototype FCS Device for Lab testing
• Develop Test and Acceptance Plan/Criteria for Production FCS
• Create a field test prototype FCS device for deployment and testing (Deliverable)
• Conduct Field Trials of FCS Device
Tracking and Response Management
• Development and fielding of RF based communication network
• Provides integrated tracking and responsive management system
• Deployment of weather detection stations for data acquisition
• Provides command center operations with graphical display system to track personnel and assets
Architecture –ResponderNetwith CFS and Models
AssetActive USI provides ability to read active tags, interfaces to AEgis CFS and transmits data to other Receivers/Repeaters
Server
Server to ingest real-time data and perform FSU modeling algorithms
AEgis Web-based GIS Software and Modeling Output
Sensors – meteorological and
chemical fire sensor
Universal Sensor Interface
Receiver/Repeater
AssetActive LR Active tags on responders with GPS for outdoor location
In-vehicle readers collect data from tags
and send the data back through cell
Internet
ResponderNet Command Management System
19
Distributed Architecture Concept
State Response Managers
City/County Response Managers
On-Scene CommanderAuthorized Subscribers
UDP(TCP/IP)
RCMS PlatformDeployment Plan
ResponderNet Command Management System (RCMS) Hardware/Software Delivery Schedule:
• 1 Primary and 1 Backup Server Based RCMS Application and Database License
• 12 Command and Control Vehicle Suites – Hardened Laptop with RCMS Application and Database– ResponderNet Vehicle Tracking Suite
• 100 ResponderNet Vehicle Tracking Suites– Digital VHF Transceiver– RF Repeater– GPS Positioning
• 200 GPS/RFID Enabled ResponderNet Personnel Tracking Tags– RF/GPS 3D Locator Tags
• 4 Weather Stations
ResponderNet CommandManagement System
• Conduct Analysis and Design Activities and develop the Systems Architectural Design (Deliverable)
• Develop Graphical User Interfaces and RCMS Applications within accepted Systems Architecture Design Document (SADD)
• Develop Test and Acceptance Criteria for all RCMS components• Conduct installation services and End User Training for RCMS
Devices and Interfaces• Conduct Field Trials and Acceptance Testing for RCMS at Division
of Forestry
Summary
• Application of multiple proven modeling architectures in a collaborative environment will achieve a predictive posture within fire management processes to enhance response effectiveness.
• The Fire Chemistry Sensor offers a reliable sound architecture which has a great deal of flexibility and benefit beyond Fire Chemistry and with modification will provide AGLAW a significant advance in Narcotics Trafficking Interdiction and Methamphetamine Detection.
• The ResponderNet Command Management Solution will provide great value and improved safety in virtually every agency within DOACS.
ResponderNet Applies to all DOACS Roles