DSIRNS: Decision Support for Integrated Real...
Transcript of DSIRNS: Decision Support for Integrated Real...
DSIRNS:Decision Support for Integrated Real-time Network of Sensors
DSIRNS:Decision Support for Integrated Real-time Network of Sensors
Steve Kreyer, Bill Dyer, Eric Tollar, Mark Vandersluis,Frank Varcolik - Science Applications International Corporation
Glenn Waldron - ITspatial, LLCMajor Mark Sward - USAF/DTRA
Steve Kreyer, Bill Dyer, Eric Tollar, Mark Vandersluis,Frank Varcolik - Science Applications International Corporation
Glenn Waldron - ITspatial, LLCMajor Mark Sward - USAF/DTRA
Presented at the 2004 GeoBase Compass ConferencePresented at the 2004 GeoBase Compass Conference
Presentation Outline
What is DSIRNS?Problem being AddressedRole of GeoBaseRole of VisualizationDSIRNS Components and OperationFuture DirectionsConclusion
What is DSIRNS?Decision Support for Integrated Real-time Network of Sensors
Initial implementation of a strategy for Radiological and Nuclear Countermeasures (RNC) using sensors and decision support techniquesProvides improved sensor location and prioritization decisions (Joint Program Guardian Installation Protection Program)Ability to dynamically adjust alarms and direct mobile sensor to potential threatsEasy visualization and integration of all regional sensor and mitigation asset informationProvides alert to silent release scenario
Problem: Improving Radiological/Nuclear Sensor System Technology and Utilization
Typically sensors are used in a stand-alone approachBoth DoD and DHS propose a “layered defense” approach with system of linked sensorsWithout DSIRNS, n independent decisions based on fixed alarms in time and space
Detection Event
Threshold Exceeded
Alarm/ Stop
PASS
Detection Event
Threshold Exceeded
Alarm/ Stop
PASS
Detection Event
Threshold Exceeded
Alarm/ Stop
PASS
Detection Event
Threshold Exceeded
Alarm/ Stop
PASS
n events
DSIRNS seeks to improve this with an Integrated Bayesian Influence Network Approach
Real-time Visualization Value Added
Understanding Coverage/Situational AwarenessCommon Operational Picture among multiple usersGeospatially Accurate Databases with Drilldown CapabilityDynamic Links between 2D and 3D GIS Systems
Attribution Database
Drill-down Capability
Relevant Infrastructure
Layers
Discrete Event
Simulation Output
GeoBase Data was used to Create 3D Model of MacDill AFB
DSIRNS relies on Geospatial Database for OperationData for MacDill AFB was obtained through GeoBase under the DTRA MIDAS ProgramITspatial InterSCOPETM* used as Real-time Common Operational Picture
* ITspatial InterSCOPE is an Interactive Site, Communications, Operations and Planning Environment that combines 3D geospatial visualization with existing 2D GIS and facilities systems and existing analytical models
Data FlowSensor
Data
Data Repository
Decision Support Algorithm
Visualization Software
Decision System
Other Systems or Response Teams
1. Sensor Readings
2. Readings + Other Data
3. Decisions
4. Update (Tracking, Analysis)
5. Alter Sensor Thresholds
Value of Advanced Decision SupportBayesian Network Technology
Bayesian Decision Net uses integrated information to categorize vehicles: Inputs
sensor dataalert level informationother available information
Provides decisions on trackingProvides estimates on radiation sourceNetwork can learn automatically from previous experience to generate improved decisions
What does Correlated Data add to the Identification Process?
By correlation of data across sensors :
Tracking (individual detections correlated to a moving vehicle)
Direction(movement towards high value target)
Multi-data fusion(integrate other data sources such as video)
Cumulated data(city-wide radiation patterns)
SAIC Developed Scenario Generator
Used to easily create Case Study SimulationsThree entities types can be placed in the scenario1. Threat Radiator (Bad guy
with RDD)2. Benign Radiator (Good guy
with Radiological/medical)3. RDD sensor (stationary or
mobile)
Entities can move in specified path or remain stationary
DSIRNS Operation 1. Combine sensors
portalsareamobile
2. Allow multiple thresholdsstoptrack
3. Integrated decision supportsituational sensor informationintegrate sensors to track vehicles
4. 2D and 3D Visualization
Situational AwarenessMonitor & Tracking
Bayesian NetworkInfluence Decision Net
Snapshot of a DSIRNS Scenario in NYC:System of Fixed and Mobile Sensors with Moving Real and Benign Threats
KEYGREEN: Fixed or Mobile DetectorRED: Threat Emitter (Mobile)PURPLE: Benign Emitter (Mobile)
Table shows status of sensors
and tracking functions
Potential Expansions
This Initial Implementation is IR&D looking for full-implementation opportunities Implementation strategy allows for easy integration of other sensor types
chemical, biological sensors could be easily integrated
Visualization architecture supports easy integration of other tools and algorithms
integration of products readily added– Consequence Assessment Tool Set (CATS), HPAC, etc. for WMD
effects and consequence management readily incorporated
Conclusion
Integration of additional information beyond single sensors will result in improved RDD detection
Increased DetectionImproved InterdictionDecreased False PositivesImproved Procedures
Integration with visualization assists real-time decision process
Reduces time in assessment of geospatial situationsAbility to focus and drill down to specific locations immediately