dynamic positioning – finding a new position in the market
TRANSCRIPT
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Dynamic Positioning – Finding a New Position in the MarketEuropean Dynamic Positioning Conference – 7 February 2017
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AGENDA
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• Brief History of DP
• New Capabilities
• The Dawn of Autonomy
• Manuvering systems - SmartPredict
• Into the Future
3
AGENDA
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DP – A BRIEF HISTORY
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HISTORY
• DP is first developed
• Quickly moves from operator assist to full DP
• Controllers shift from analog to digital
• The DP industry is born
1960’s
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HISTORY
• Evolution
• First commercial DP systems emerge
• Modern Control theories introduced with mathematical modeling of the system
• Redundancy, feed forward and other concepts introduced
1970’s
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HISTORY
• Downturn – But huge strides in computer technology were made affecting the next generation of DP’s
1980’s
18 Mar 2016 [DP UI’s and DPO’s: The Right Level of Relationship/ M. Ford
• Rapidly evolving computer industry supported completely new DP capabilities
• New functions and added capabilities to take advantage of the new processor power
• Improved User Interfaces
1990-2000’s
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HISTORY
• Growth turned to Downturn in classic offshore market
• Focus is shifting to evolution of other markets
2010’s
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DP TODAY
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HISTORY
• Jack-up Compensation – Wind Farms
• Gangway Compensation - Floatels
• Wave Feed-Forward
• Still just holding position
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HISTORY
• Next Evolution – not just maintaining station, but true dynamic positioning - Better and smarter DP systems providing dynamic control
• Not just the track follow or target follow we have had for years
• Manuvering and…..AUTONOMY
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WHAT IS AUTONOMY?
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Example
Level 0 No AutomationFull time performance by the operator of all aspects of the dynamic task, even when enhanced by warning or intervention systems.
“Old-fashioned” car with no assistance, not even power steering or brakes
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Example
Level 1 Operator AssistanceThe operator mode-specific execution by an operator assistance system of either steering or accel/decal using information about the operating environment and with the expectation that the human operator performs all remaining aspects of the dynamic operating task.
Standard cruise control or parking assist
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Example
Level 2 Partial AutomationThe operator mode-specific execution by one or more operator assistance systems of both steering and accel/decal using information about the operating environment and with the expectation that the human operator performs all remaining aspects of the dynamic operating task.
Routing assist, radar based cruise control
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Example
Level 3 Conditional AutomationThe operator mode-specific performance by an automated control system of all aspects of the dynamic operating task with the expectation that the human operator will respond appropriately to a request to intervene.
Autopilot
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Example
Level 4 High AutomationThe operator mode-specific performance by an automated control system of all aspects of the dynamic operating task even if a human operator does not respond appropriately to a request to intervene.
Autonomous cars in operation today, specific cases, not capable of dynamic situation/terrain; urban automated driving.
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Example
Level 5 Full/Complete AutomationThe operator mode-specific performance by an automated control system of all aspects of the dynamic operation under all operational and environmental conditions that can be managed by a human operator.
Fully autonomous cars able to deal with all operational and environmental issues without human intervention.
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AUTONOMY
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Level Description Steering, Acceleration,Deceleration
Monitoring OperatingEnvironment
Fallback For Dynamic Tasks
Level 0 No Automation
Level 1 Operator Assistance
Level 2 Partial Automation
Level 3 Conditional Automation
Level 4 High Automation
Level 5 Full/Complete automation
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AUTONOMY
What is possible for ships today?
• Levels 0, 1 and 2 are already in operation
• Level 3 and above are not there yet• More elements need to be validated…especially Manuvering
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THE POTENTIAL OF THE FUTURE
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FUTURE DEVELOPMENT
What if the captain could see into the future and know where his vessel would be?
• Existing trackpilots and autopilots simply plot a course and assume the ship follows it
• Could DP and ship handling be merged for predictive handling?
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SMARTPREDICT
• Improves safety in manual mode operation
• Displays the vessel’s predicted future position and heading
• Advanced prediction based on all system inputs
• User configurable prediction time
SmartPredict
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SMARTPREDICT
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FUTURE DEVELOPMENT
SmartPredict forms the basis to move beyond just maneuvering…
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To remotely piloted ships similar to the UAV’s of the aircraft world.
Into automated procedures, like docking and then…
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FUTURE DEVELOPMENT
• Regulatory Input
• Public Concern
• More at stake than with Autos
Fully Autonomous Ships
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THANK YOU FOR YOURATTENTION
Questions?
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