SARIS An operational Search and Rescue Planning Tool. Past, Present and Future

Transcription

1 Ifremer & French-Norwegian Foundation: Seminar th Oct 2004 Technologies for Search, Assistance & Rescue SARIS An operational Search and Rescue Planning Tool Past, Present and Future Jerzy Graff Director of Environment Systems Ltd

2 Amoco Cadiz 1978 Prestige 2002 Maritime Disasters ITOCI platform spilled 140 million gallons in 1980 North Sea platform oil spills Castelle Belevue 1982 Erika 1999 Exxon Valdez 1989 Argo Merchant 1976 Piper Alpha 1988 Herald of Free Enterprise 1987 IXTOC I Platform 1980

3 International Convention Safety of Life at Sea SOLAS DISASTERS SOLAS Consequential IMO SAR Initiatives Titanic 1912 Tory Canyon 1967 MARPOL 73/78 Derbyshire 1980 Exxon Valdez 1989 Oil Pollution Act OPA 1990 Erika 1999 EC Directives EMSA UN/IMO Actions AMVER * 1971 MERSAR manual 1978 IMOSAR manual 1979 COMSAR Convention 1982 INMARSAT COSPAS-SARSAT * 1988 GMDSS 1996 S-57 * ECDIS 1999 IAMSAR * manual 2002 AIS 2003 Inmarsat BGAN EMSA

4 Typifying Maritime Disasters MARITIME DISASTERS Pollution Casualty SAR Potential/actual LOSS OF LIFE Wreck Salvage Onboard Overboard IMPACT ON ENVIRONMENT NOW Emission to air Chemical spill Oil spill LATER Overboard packages lost Onboard latent cargo Accumulation of spill events

5 The Problem to Resolve Where are they now and where are they going? Search and Rescue Trajectory & survival Pollution Trajectory & dispersion Salvage & Pollution Fate, consequence, where?

6 Commonality between SAR and Pollution Response Where did it happen? What is it? Where is it now? Where is it going? How do we best deploy our resources? Infrastructures Well structured national/international response Maritime rescue coordination centres Extensive communication links Contingency planning/exercising Who is in charge? Geographical response cells SAR full global cover contiguous cells Pollution limited cover Level of ownership of an incident reflects importance Information system linked to data feeds

7 SAR and Pollution Response - NEEDS Tools personnel & command and control infrastructure contingency plans Equipment and assets numerical environment process models Fast-Time numerical decision support models Fast-Time Inputs assets control advice Fast-Time monitoring and surveillance EO, AIS Fast-Time operational metocean forecasts & live data Outputs response actions Fast-Time Geographical level local, regional, national & international Maps & Charts

8 SARIS BMT Search and Rescue Information System

9 UK Coastguard (all 19 sites) UK Coastguard International Training School a(centre of Excellence - SAR planning) US Air Force (Evasion and Recovery) UK Navy Netherlands Coastguard Hellenic Ministry of Transport (Greek Coastguard) Greenland Navy (MRCC Gronnedaal) Faeroes Coastguard and Faeroes Navy Guernsey Harbour Authority MRCC Hong Kong Royal Danish Navy South African Marine Safety Agency New Zealand Marine Safety Agency Current Users of BMT SARIS

10 SARIS Heritage & Evolution Sat Comms 15 Users 5 Users 50 Users OSIS v 3.0 OSIS v 2.0 SARIS Phase 2 SARIS Phase 1 SARIS Start ORACLE 10G Broadband XML GIS advances GRID Java 3GHz PC 260GB HD OSIS v Internet & OSIS start Visualisation Fast-Time Modelling 1992 Hong Kong Passage Planning Guide with integrated Digital Tide Atlas & ADCP MS Windows 0.1GHz PC 0.5MB HD

11 SARIS Functionality UK Coastguard Methodology (CG3) Search Area Coverage (SAC) Search Area Determination (SAD) SAD Rapid Response Datum Point Datum Line Backtrack SAC Creeping Line Ahead, Parallel Track, Sector & Expanding Square Search Pattern Types Probability of Detection (POD) A=VNST Formula used POS and POC could be added in the future

12 Leeway User Configurable/Editable Comes With CG SAR Graphs and Tables Values Errors Navigational Equipment/Aid Errors User Configurable/Editable Comes With CG SAR Graphs and Tables Values Hydrodynamics Tidal currents & residuals Charts/Maps SARIS Databases Can be Edited Using VMIS Edit Supports.dat,.dxf, CM93 v2 Will Support S57, ARCS,.vpf

13 SARIS Workflow for Reporting Illustration of user interfaces for accessing and modifying SARIS databases.

14 SARIS Asset Allocation Illustration of asset handling and allocation showing special functions toolbar

15 Future Systems Approach Very Simplified On-Line Modelling Systems Databases Thin Client - Front End (GIS?) M O D E L S E R V E R D A T A B R O K E R Various Local Databases present in systems already on-board e.g. Charts Models

16 Command Processor Core Services User Manager CRM, billing Exception Manager Audit & Logging Data Interchange Transaction Control Security & Session Manager Service Locator Streaming Servers RDBMS External Systems LDAP Web Browser Proxy Applet Web Client Client Tier Portal Application Objects Portal Tier Application Tier Presentation HTML Pages STRUTS-based components Presentation Tier Business Tier Data Tier UI Repository Rich Client SPATIAL Data Repositories Request Response BMT Architecture Tiers Prototype development under way for Singapore waters

17 the on-line data broker concept BMT On-line data broker/cutter is about the seamless delivery of data sets directly to end user software applications at time when they are required, in the right format with minimum user intervention. By data we mean all data sets e.g. MetOcean, GIS, Charts/Maps, Earth Observation (Satellite) images etc. Initially the cluster has focused on the seamless delivery of MetOcean data. end user applications data providers data broker

18 background Flexible Online Environmental Data Systems (EDAS) EDAS is a cluster supported by SEEDA (South East England Development Agency) that aims to seamlessly deliver environmental data sets from source to end user via a data broker. The data broker acts as both a delivery system and data cutter providing end-users with exactly the data they need suitable for use in their applications at the time when it is needed. The Cluster started late 2003 and has funding to run for a year.

19 MetOcean data broker demonstration The following section of this presentation demonstrates the data broker. It shows the seamless delivery of wind and current data to end-user software application that models, or predicts, search areas for people, vessels and objects lost at sea. Large Metocean data sets are automatically delivered to the data broker Data requested by user UK Met Office Data delivered to end user application Reading Live Access Server (Data Broker)