SAROPS Search and Rescue Optimal Planning System SAROPS Team United States Coast Guard Northrop Grumman Applied Science Associates Metron 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 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 C2PC(CG) / SAR-PC typical view… CASP Typical View via C2PS/SAR Tools SAROPS Prototype Display SAROPS Goals To provide fast, simple Search & Rescue predictions Minimise data entry and potential for error Automate data linkages – Environmental Data Inputs – Search Action Plan Outputs Simple Visualization of Results 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” SAROPS Components Graphical User Interface/ (GUI) Environmental Data Server (EDS) Simulator (SIM) 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 Example Scenario Fishing Area A Probable Error of Turn Point Position Home Port Fishing Area B A Sample Voyage GUI Wind Data ENV. DATA SERVER •User Defined •Point/Gridded Fields SRU •Regional Deployment •Global Simulator Tools (SIM) Current Data •User Defined •Point/Gridded Fields •Regional Results •Global SIM Requirements “Monte Carlo” (particle filter) simulation – 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. Future SIM Enhancements Multiple-rectangle Optimal Search Plans Optimal Survivor Search – Canadian Cold Environment Survival Model Moving Hazards (Storms, Fronts, etc.) Improved Detection (sensor) Modeling EDS Requirements Water current data Wind data Other (visibility, cloud cover, sea state, etc) Accommodate scales/resolutions automatically Global land database Expansion of data products and uses EDS Gridded Point Finite Element SIM Common File Format How do they communicate? GUI “launch process” SIM Sarops SaropsSim COM Extension Java NetCDF XML DBF SHP/ DBF EDS .NET Web Services ArcGIS based Architecture - Conceptual WWW C O ArcGIS Mapping P TMS Framework E X T GEBASE EDS Maptech M 3D Analyst O SAROPS Extension SAR Tools Extension R -GUI Spatial - A E - Flares, Patterns, Etc -SIM GeoStat - A WeatherFlow E X C-Map T’ Other… S SAROPS Prototyping Example of Fixed Hazard Example of Fixed Hazard Example of Fixed Hazard Tidal Only SAROPS/ CODAR Estimate Actual Drift Thank You!
Pages to are hidden for
"ST05 Frost SAROPS"Please download to view full document