British Maritime Technology

SARIS SARIS An operational Search and Rescue

Planning Tool

Past, Present and FuturePast, Present and Future

Jerzy Graff Director of Environment Systems

British Maritime Technology Ltd

Ifremer & French-Norwegian Foundation: Seminar 18-20th Oct 2004

Technologies for Search, Assistance & Rescue

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Maritime DisastersITOCI platform spilled 140 million gallons in 1980

North Sea platform oil spills

Piper Alpha 1988

Amoco Cadiz 1978

Erika 1999

Castelle Belevue 1982

Herald of Free Enterprise 1987

Exxon Valdez 1989

Prestige 2002

Argo Merchant 1976

IXTOC I Platform 1980

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International Convention Safety of Life at Sea SOLAS

1914192919481960

19741978

198119831988198919901991…….19981999…….2002

SOLASDISASTERS

Titanic 1912

Tory Canyon 1967

Derbyshire 1980

Exxon Valdez 1989

Erika 1999

Oil Pollution Act OPA 1990

Consequential IMOSAR Initiatives

1958

1971 MERSAR manual

1978 IMOSAR manual1979 COMSAR Convention1982 INMARSAT

1988 GMDSS

1996 S-57 * ECDIS

1999 IAMSAR * manual

2002 AIS2003 Inmarsat BGAN

EMSA

MARPOL 73/78

EC DirectivesEMSAUN/IMO

Actions

COSPAS-SARSAT *

AMVER *

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Pollution

MARITIME DISASTERS

Potential/actual LOSS OF LIFE

IMPACT ON ENVIRONMENT

NOW

LATER

Emission to air

Chemical spill

Oil spill

Overboard packages lost

Onboard latent cargo

Onboard

Overboard

Accumulation of spill events

SAR

CasualtyWreck

Salvage

Typifying Maritime Disasters

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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?

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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

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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

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SARIS

BMT Search and Rescue Information System

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• 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

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OSIS start

SARIS Phase 1

SARIS Phase 2

1994

1997

2002

2000

SARIS Start

1999OSIS v 3.0

OSIS v 2.0

1995

1996

1998

2001

1993

1992

OSIS v 1.0

1991

1990Hong Kong Passage Planning Guide with

integrated Digital Tide Atlas & ADCP MS Windows

Java

Internet & Email

GRID

ORACLE 10G2003

2004

Broadband

XML

GIS advances

3GHz PC

0.1GHz PC

260GB HD

0.5MB HD

Sat Comms

Fast-TimeModelling

Visualisation

SARIS Heritage & Evolution

5 Users

15 Users

50 Users

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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

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• 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• Can be Edited Using VMIS Edit

• Supports .dat, .dxf, CM93 v2

• Will Support S57, ARCS, .vpf

SARIS Databases

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Illustration of user interfaces for accessing and modifying SARIS databases.

SARIS Workflow for Reporting

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Illustration of asset handling and allocation showing special functions toolbar

SARIS Asset Allocation

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On-Line Modelling Systems

Various “Local” Databases present insystems already on-board e.g. Charts

“Thin Client” - Front End (GIS?)

MODEL SERVER

“Models”

“Databases”

DATA BROKER

Future Systems Approach – Very Simplified

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SEAINFOCommandProcessor

SEAINFO CoreServices

• User Manager

• CRM, billing

•Exception Manager

• Audit & Logging

• Data Interchange

• Transaction Control

SEAINFOSecurity & Session

Manager

SEAINFO ServiceLocator

SEAINFO StreamingServers

SEAINFORDBMS

ExternalSystems

LDAPWeb Browser

SEAINFOProxyApplet

SEAINFOWeb Client

ClientTier

SEAINFOPortal

SEAINFOApplication Objects

PortalTier

ApplicationTier

SEAINFOPresentation

• HTML Pages

• STRUTS-basedcomponents

PresentationTier

BusinessTier

DataTier

UIRepository

SEAINFORich Client

SEAINFOSPATIAL

SEAINFOData

Repositories

Request

Response

BMT info@SEA™ Architecture Tiers Prototype development under way for Singapore waters

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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.

data providers

data broker

end user applications

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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.

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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.

UK Met Office

Reading Live Access Server

(Data Broker)

Large Metocean data sets are automatically delivered to the data broker

Data requested by user

Data delivered to end user application