Developments toward the unmanned ship Information on Ships - ISIS - - PowerPoint PPT Presentation

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Developments toward the unmanned ship Information on Ships - ISIS - - PowerPoint PPT Presentation

Developments toward the unmanned ship Information on Ships - ISIS 2012, Hamburg, Germany, 30 - 31 August 2012 rnulf Jan RDSETH, Research Director MARINTEK Dept. Maritime Transport Systems OrnulfJan.Rodseth@marintek.sintef.no Hans-Christoph


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SCP2-GA-2012-314286 2012-09-01 to 2015-08-31

Developments toward the unmanned ship

Ørnulf Jan RØDSETH, Research Director MARINTEK Dept. Maritime Transport Systems OrnulfJan.Rodseth@marintek.sintef.no Hans-Christoph BURMEISTER, Research Associate Fraunhofer Center for Maritime Logistics and Services CML Hans-Christoph.Burmeister@cml.fraunhofer.de http://www.unmanned-ship.org

Information on Ships - ISIS 2012, Hamburg, Germany, 30 - 31 August 2012

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Content

  • Introduction to MUNIN
  • Rationale for unmanned ships
  • Main problems with unmanned ship
  • MUNIN approach
  • Conclusion and summary

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Content

  • Introduction to MUNIN
  • Rationale for unmanned ships
  • Main problems with unmanned ship
  • MUNIN approach
  • Conclusion and summary

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Introduction to MUNIN

  • Munin ("mind") is one of Odin's two ravens flying out in the morning and

reporting news of the world to their master in the evening.

  • Hugin ("thought"), the other raven, is

also the name of a commercially successful autonomous submarine (AUV).

  • Here, MUNIN is the name of a new

EU project researching the unmanned, autonomous ship.

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Maritime Unmanned Navigation through Intelligence in Networks

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Partners in MUNIN

  • Fraunhofer CML (DE) – Research, Coordinator
  • MARINTEK (NO) – Research
  • Chalmers (SE) – University
  • Hochschule Wismar (DE) – University
  • Aptomar (NO) – Industry
  • MarineSoft (DE) – Industry
  • Marorka (IS) – Industry
  • University College Cork (IE) - University

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Project details

  • Duration: 01.09-2012 – 31.08.2015
  • Funding: 2.9 million EUR
  • Activity code: SST.2012.5.2-5:

E-guided vessels: the 'autonomous' ship

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Objectives

  • Develop and test unmanned ship concepts
  • Main technical investigations on
  • Technical maintenance for high availability
  • Navigation support for unmanned bridge
  • Remote operations, shore coordination, including VTS/Pilot/SAR
  • Base case is medium size dry bulk carrier
  • Verify concept in system of simulators
  • Examine legal and contractual constraints
  • CBA and applications in today's shipping as well as other ship types

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Content

  • Introduction to MUNIN
  • Rationale for unmanned ships
  • Main problems with unmanned ship
  • MUNIN approach
  • Conclusion and summary

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WaterBorne TP

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Slow steaming

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Route Distance [nm] Speed [kn] 16 11

  • 31%

16 11

  • 31%

Time [d] 14,2 20,6 45% 14,2 20,6 45% Fuel [t] 624,0 288,8

  • 54%

624,0 288,8

  • 54%

CO2 [t] 1.978,1 915,5

  • 54%

1.978,1 915,5

  • 54%

Charter [US$] 464.611,9 675.799,1 45% 230.935,0 335.905,4 45% Bunker [US$] 405.613,5 187.722,0

  • 54%

405.613,5 187.722,0

  • 54%

Total [US$] 870.225,4 863.521,1

  • 1%

636.548,5 523.627,4

  • 18%

Manning [US$] 33.456,0 48.663,3 45% 33.456,0 48.663,3 45% Manning/Total 3,84% 5,64% 5,26% 9,29%

Distances by www.vesseldistance.com

5446 5446 Change due to slow steaming Change due to slow steaming (Charter = average 2006-2010) (Charter = forecast until 2016) Porto de Tubarao -> Hamburg Porto de Tubarao -> Hamburg

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Autonomous Slow Steaming

  • Environmentally
  • Reduce CO2 emissions with 54%
  • Economically
  • Offset increased crew costs
  • Societal
  • Make crew available for more demanding tasks, closer to home, offset

lack of crew, increase job attractiveness

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Technology also applicable for today's ships

  • Improved sensor and detection systems
  • Less accidents, less stress for seafarer
  • Improved technical maintenance strategies
  • Less accidents, less off-hire
  • Improved ship-shore cooperation
  • Better crew support, relieve crew of excess work, ashore ‘ship-sitting’

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Content

  • Introduction to MUNIN
  • Rationale for unmanned ships
  • Main problems with unmanned ship
  • MUNIN approach
  • Conclusion and summary

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Communication technology and information transfer

  • Dependent on trade area and cost one have to expect varying degree of

communciation service (bandwidth and latency)!

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AMVER July 2012: www.amver.org

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Lookout and collission avoidance

  • Arpa and AIS exist on board.
  • Small object detection radar, IR cameras, low light cameras etc. are

available.

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Key challenges are to integrate sensors and to classify objects automatically

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System robustness

  • Today ship safety is to some degree based on the ability to repair

equipment during voyage.

  • Autonomous ships need high confidence level for no critical failures

during sea leg!

  • Very high reliability and fail-to-safe procedures required!

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New approaches to component redundancy as well as preventive maintenance are required.

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Ship-shore coordination

  • Ship operator needs a central operations centre ashore.
  • Coordination with other entities when necessary:
  • Other (autonomous) ships
  • Pilot, VTS …
  • General ship reporting (FAL, SOLAS)
  • SAR

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Legal and contractual issues

  • Flag state jurisdiction without master ?
  • COLREGS ?
  • Insurance and liability ?
  • Safety at sea – SAR ?

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Probably the main problem: It will take time before we see the first fully autonomous ship!

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Content

  • Introduction to MUNIN
  • Rationale for unmanned ships
  • Main problems with unmanned ship
  • MUNIN approach
  • Conclusion and summary

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From manned to autonomous

20 Radar ECDIS Visual …

Action

Radar ECDIS Visual … Radar ECDIS Visual …

Manned Ship Remote Ship Automated Ship

Radar ECDIS Visual …

Autonomous Ship Action Action Action

Generic Alternatives Symbiosis Actual

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From manned to autonomous

21 Radar ECDIS Visual …

Action

Radar ECDIS Visual … Radar ECDIS Visual …

Manned Ship Remote Ship Automated Ship

Radar ECDIS Visual …

Autonomous Ship Action Action Action

Generic Alternatives Symbiosis Actual

Still requires substantial shore crew ! Not realistic today !

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From manned to autonomous

22 Radar ECDIS Visual …

Action

Radar ECDIS Visual … Radar ECDIS Visual …

Manned Ship Remote Ship Automated Ship

Radar ECDIS Visual …

Autonomous Ship Action Action Action

Generic Alternatives Symbiosis Actual

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Autonomy vs. uncertainty

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Degree of autonomy Degree of uncertainty Fail to safe Automatic Autonomous Intelligent Emergency stop Route keeping Collision avoidance Onboard route planning Remote control Shore side operation centre

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Main operational modes

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Automatic Autonomous Remote Fail to safe

Problem detected Cannot solve Lost contact Operator back in control Emergency response needed Problem solved

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Simulator configuration

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e-Maritime ICT Architecture

Remote operation Remote VTS, pilot and SAR Anti-collision / autonomous nav. Improved system robustness. VTMIS/Pilot Fleet operations control Engine systems Bridge systems Health monitoring and planned maintenance Legal and contractual changes Cooperative decision support Actual data Efficient operation Actual data Actual data Improved ICT architecture. Improved operational procedures Application to other shipping types

Internet

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Simulator configuration

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e-Maritime ICT Architecture

Remote operation Remote VTS, pilot and SAR Anti-collision / autonomous nav. Improved system robustness. VTMIS/Pilot Fleet operations control Engine systems Bridge systems Health monitoring and planned maintenance Legal and contractual changes Cooperative decision support Actual data Efficient operation Actual data Actual data Improved ICT architecture. Improved operational procedures Application to other shipping types

Internet

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Simulator configuration

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e-Maritime ICT Architecture

Remote operation Remote VTS, pilot and SAR Anti-collision / autonomous nav. Improved system robustness. VTMIS/Pilot Fleet operations control Engine systems Bridge systems Health monitoring and planned maintenance Legal and contractual changes Cooperative decision support Actual data Efficient operation Actual data Actual data Improved ICT architecture. Improved operational procedures Application to other shipping types

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Simulator configuration

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e-Maritime ICT Architecture

Remote operation Remote VTS, pilot and SAR Anti-collision / autonomous nav. Improved system robustness. VTMIS/Pilot Fleet operations control Engine systems Bridge systems Health monitoring and planned maintenance Legal and contractual changes Cooperative decision support Actual data Efficient operation Actual data Actual data Improved ICT architecture. Improved operational procedures Application to other shipping types

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Content

  • Introduction to MUNIN
  • Rationale for unmanned ships
  • Main problems with unmanned ship
  • MUNIN approach
  • Conclusion and summary

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Is the autonomous ship possible?

  • Technology is mostly available: Need to be integrated and improved
  • Integration in maritime transport system is a challenge: Shore, other

ships, SAR

  • Legal issues and liability clearly a show stopper today

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What will MUNIN contribute?

  • Demonstration and tests of the technical issues
  • Legal and cost-benefit analysis
  • New technology also for today's ships

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… and then the autonomous ship!

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