8/28/2015 1 Effects-Based Crisis Management and Rescue Operations A Research Project Proposal to the Swedish Rescue Services Agency.
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Effects-Based Crisis Management and Rescue Operations
A Research Project Proposal to the Swedish Rescue Services Agency
Outline
• ROMEO (Research on Management of Effective Operations)• Project Proposal to SRV : Crisis Management and Rescue Operations
in Robust Societies
Vision
ROMEO will become one of the leading national and international research centres in the area of effects based support for management of civil and military operations
Supporting Management of Operations
Individuals withwearable equipment
Groups in mobile units
Crisis and operation management in staffs. Meeting context.
Long term planning in normal office environments.
Time for decision-making
Days
Hours
Seconds
Minutes
Months
PlanningOperations
EBOAnalysis
Monitoringof
Effects
ExecutingOperations
Resource Optimization ServiceResource Optimization Service
Model Based Info Fusion ServiceModel Based Info Fusion Service
Query Based Reasoning ServiceQuery Based Reasoning Service
Simulation for ExperimentsSimulation for Experiments
Scalable ArchitectureScalable Architecture
CGF Simulation ServiceCGF Simulation Service
Interoperability ServiceInteroperability Service
Event and Recovery AnalysisEvent and Recovery Analysis
UAV/UGV Control Service UAV/UGV Control Service
EBO Analysis EngineEBO Analysis Engine
EBO Collaborative ManagementEBO Collaborative Management
Individuals Mobile groups Crisis staffs Planning
Data and Info Flow ArchitectureData and Info Flow Architecture
Use of Unmanned VehiclesUse of Unmanned Vehicles
Weather and GIS VisualisationWeather and GIS Visualisation
Agent Based Information IntegrationAgent Based Information Integration
Multi-Modal HMI ServicesMulti-Modal HMI Services
Integrated Logistics Service Integrated Logistics Service
User studies and integration
Human-Machine Interaction Methods and Services
Interoperability Methods and Services
Architectural Issues
AI-Based Tools for EBOAnalysis
Inter-disciplinaryResearchProjects
Participants so far…
Lena Mårtensson, Industrial Engineering and Management, KTH
Henric Christensen, Centre for Autonomous System, KTH
Fang Chen, Interaction Design, Chalmers
Philippas Tsigas, Distributed Computing and Systems, Chalmers
Anders Ynnerman, Visualization and Interaction Studio, LiU
Jenny Hållmats Saab Systems
Claes Bäckström Saab Systems
Klas Wallenius Saab Systems
Sigvard Brodén Saab Systems
Expected Long-Term Funding and Development2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
PSRV I 0,5 2,8 2,8
SRV II 0,3 2,8 2,8
NFFP 0,7 0,5 2 2 2 1
Saab A&T 0,5 1,5 1,5 1,5
FMV/Vinnova I 0,5 5 5 5
FMV/Vinnova II 0,5 5 5 5
FMV/Vinnova III 0,5 5 5 5
KBM/Säkprog I 0,5 10 10 10 10 10
KBM/Säkprog II 0,5 10 10 10 10 10
KBM/Säkprog III 0,5 10 10 10 10 10
EU FP7 C1 0,7 20 20 20 20 20
EU FP7 C3 0,3 5 5 5 5 5
EU FP7 C5 0,3 5 5 5 5 5
EU FP7 C7 0,3 5 5 5 5 5
Synchronization 1 0,5 1 2 2 2 2 2 2 2 2 2 2 2
Max Research Effort 0,5 11,8 30,1 63,3 63 62 57 52 22 17 12 12 7 7Expected Research Effort (Persons) 0 7 15 36 37 35 33 29 10 7 5 5 4 4Expected Funding (MSEK) 1 7 14 33 33 32 29 26 9 6 5 5 3 3
= Application Project
= Research Project
Outline
• ROMEO (Research on Management of Effective Operations)• Project Proposal to SRV : Effects-Based Crisis Management and
Rescue Operations
Problem: Crisis Management and Rescue Operations
• Perform preventive planning – Build a causal model of risks in the society– Define indicators of potentially hazardous events– Define actions to perform if these events occur
• Predict risks– Monitor the indicators and predict effects– Alert when risk level supersedes the threshold level
• Manage rescue operations– Identify optimal actions– Continue predict risks and identify actions as the situation develops
Purpose of the Project
• Investigate how predictive situation managament can facilitate restoring of the security during a hazardous event .
• Investigate the current state of the art and required development in different areas, e.g.:– Risk Management– Information Fusion and Event Detection– Agent-Based Simulation– Multi-Modal User Interfaces
• Investigate requirements and usability issues among the rescue forces and and other actors at different decision levels involved in the managament of the event.
• Demonstrate a simplified prototype system• Form the basis for a future research and development program in situation
management funded by e.g. EU and the Swedish Government
Predictive Situation Management
Public SafetySafety of Personel InfrastructureEnvironmentBudget
Ok Compromised SevereWater Tower
Overall priorities
Legend
Outcome Probabilities
Population
Hazards
Own Units
Important Objects
Power Plant
ChemicalIndustry
System Overview Example
VideoCameras
Alerts frominfrastructure
monitoring
ObjectExtraction/Tracking
Situation Analysis/Event Recognition
Prediction/Embedded Simulation
SOS Alarm Rescue Services Other
Collaboration/Command Support
Weather forecasts
Reports and Emergency Calls
An Example of a Causal Model (Military Case)
Going From a Chance Node to a ’Probabar’
OK (Casualties = 0)
Compromised (0 < Casualties ≤ 100)
Severe (100 ≤ Casualties)
52 %
38 %
10 %
Goal: No Casualties
Goal: No Casualties
Project Organization
• Part of the ROMEO program
• Involves Amount of work– 2-3 PhD students 2-3 * 100 % of full time– Senior researchers at LiU, Chalmers and KTH 2-3 * 20 % of full time– Technology, HMI, and rescue expertise from Saab 1-2 * 20 % of full time– Rescue expertise from Attunda Fire & Rescue service 1 * 20 % of full time ?????
• Budget– T.B.D.
• Time– 2007-01-01 – 2008-12-31
• Work on the proposal– Visit at SRV ~2005-12-01– Deadline ~ 2006-03-01
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