Wildfire Prediction, Mitigation and Management Experiment Proposal

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