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SAROPS Search and Rescue Optimal Planning System. SAROPS Technologies for Search, Assistance, and Rescue Seminar, Le Quartz, Brest, France, 18 – 20 October 2004 Malcolm L. Spaulding Applied Science Associates, Inc.(ASA), Narragansett, RI. SAROPS Team. United States Coast Guard

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slide1

SAROPS

Search and Rescue Optimal Planning System

slide2

SAROPS

Technologies for Search, Assistance, and Rescue Seminar, Le Quartz, Brest, France, 18 – 20 October 2004

Malcolm L. Spaulding

Applied Science Associates, Inc.(ASA), Narragansett, RI

sarops team
SAROPS Team
  • United States Coast Guard
  • Northrop Grumman
  • Applied Science Associates (ASA)
  • Metron
search rescue problem
Search & Rescue Problem
  • Create a SAR case when alerted
  • Gather data, estimate uncertainties
  • Use model to determine search area
  • Estimate resource availability and capability
  • Plan the next search
  • Promulgate the search plan
  • Perform the search plan
  • Evaluate the completed search
  • Repeat above until survivors are found and rescued
uscg transition
USCG Transition
  • SARTools
    • Joint Automated Worksheet (JAWS)
      • Near-shore search planning
      • Based on 1950’s paper & pencil technology
    • Computer Assisted Search Planning (CASP)
      • Offshore search planning
      • Based on 1970’s technology
  • SAROPS
    • Technologically current software tool
    • Near-shore and offshore search planning
    • Extensible to land-based search planning
sarops goals
SAROPSGoals
  • To provide fast, simple Search & Rescue predictions
  • Minimize data entry and potential for error
  • Automate data linkages
    • Environmental data inputs
    • Search Action Plan outputs
  • Simple visualization of results
sarops scenario types
SAROPS Scenario Types
  • Voyage scenario where object can pass through or loiter in a number of locations (positions or areas) using any combination of great circle and rhumb line routes
  • Initial Position (with bivariate normal uncertainty) and time uncertainty for an event, plus an offset for initial location and time of distress
  • Positions obtained from COSPAS-SARSAT, other GMDSS
  • Lines of Bearing (from Radio Direction Finding, Flare Sightings, Loran, and others)
  • Areas defined by polygons
  • “Reverse Drift” scenarios
  • Scenarios may be “weighted”

COSPAS-SARSAT – Satellite based emergency beacon locator for search and rescue, GMDSS – Global Marine Distress Safety System

example scenario

Fishing Area A

Probable Error of Turn Point Position

Home Port

Fishing Area B

Example Scenario

A Sample Voyage

sarops components
SAROPS Components
  • Graphical User Interface/ (GUI)
  • Environmental Data Server (EDS)
  • Simulator (SIM)
gui requirements
GUI Requirements
  • Deployable on ESRI® GIS mapping engine (C/JMTK)
  • Wizard based interface
  • Minimize keystrokes
  • Chart support (vector/raster)
  • Display environmental data
  • Animated display capabilities
  • Display recommended search plans/areas/patterns
  • Display probability maps (by scenario, object type or combined)
  • Reporting

C/JMTK – Commercial/Joint Mapping Tool Kit

slide12

GUI

  • Wind Data
  • User Defined
  • Point/Gridded Fields
    • Regional
    • Global

SRU Deployment Tools

Simulator (SIM)

ENV. DATA SERVER

  • Current Data
  • User Defined
  • Point/Gridded Fields
    • Regional
    • Global

Results

sim requirements
SIM Requirements
  • “Monte Carlo” (particle) simulation (random walk/flight)
    • Simulate pre-distress motion & fixed hazards
    • Simulate distress incidents and outcomes
    • Simulate post-distress motion (drift)
    • Calculate near-optimal search plan (max POS)
    • Simulate simultaneous SRU and search object motion (use POD vs. range at CPA on each leg)
    • Compute cumulative POS
    • Account for effects of previous unsuccessful searching when recommending subsequent search plans.

POD- probability of detection, POS- probability of success, SRU- search rescue unit, CPA –closest point of approach

slide14
SIM
  • Particle Filter Sample Paths
    • Example Below: 10,000 particles, only 5 shown.
      • Time t1 red ellipse
      • Time t2 lavender ellipse
      • Time t3blue ellipse

t1

t3

t2

eds requirements
EDS Requirements
  • Surface current data
  • Surface wind data
  • Other (visibility, cloud cover, sea state, etc)
  • Automatically accommodate variable spatial scales/resolution
  • Select best data available
  • Global land database
  • Expansion of data products and uses
slide16

Gridded

Point

Finite Element

SIM

Common File Format

(netCDF)

EDS
how do they communicate

XML

SHP/DBF

DBF

NetCDF

How do they communicate?

GUI

SIM

“launch process”

Sarops

COM Extension

SaropsSim

Java

EDS

.NET Web Services

slide18

ArcGIS based Architecture - Conceptual

WWW

C O P

EXT

ArcGIS Mapping Framework

TMS

GEBASE

EDS

Maptech

MORE

EXT’S

3D Analyst

  • SAROPS Extension
  • GUI
  • SIM
  • SAR Tools Extension
  • Flares, Patterns, Etc

Spatial - A

GeoStat - A

WeatherFlow

* COP – Common Operational Picture, GEBASE – USCG GIS data distribution system

C-Map

Other…

slide20

SAROPS-EDS (COASTMAP)Currents:*User specified * NOAA/NOS tidal currents* Global atlas * Navy global ocean hydrodynamic model * Lake, coastal, and estuarine hydrodynamic models * HF radar systems Winds:* User specified* Navy global meteorological model* NOAA/NWS station forecasts

slide31
Related DevelopmentDemonstration of linkage of SAROPS/ SARMAP to high frequency radar surface current data

Sponsor: US Coast Guard, Research and Development Center

Project Team: Anteon, ASA, University of RI and CT, and Rutgers University

major study components
Major Study Components
  • Link HF radar (Block Island Sound(BIS) and Mid Atlantic Bight (MAB)) to SARMAP/SAROPS
  • Extend development of short term forecasting system to include wind forcing
  • Compare random walk and random flight model predictions, using HF radar as input, to observed trajectories of 7 drifting buoys deployed in BIS and MAB
  • Demonstration of integrated system in operational setting for USCG