Developments toward the unmanned ship
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1 Developments toward the unmanned ship Information on Ships - ISIS 2012, Hamburg, Germany, August 2012 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 SCP2-GA to
2 Content Introduction to MUNIN Rationale for unmanned ships Main problems with unmanned ship MUNIN approach Conclusion and summary 2
3 Content Introduction to MUNIN Rationale for unmanned ships Main problems with unmanned ship MUNIN approach Conclusion and summary 3
4 Introduction to MUNIN Maritime Unmanned Navigation through Intelligence in Networks 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. 4
5 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 5
6 Project details Duration: Funding: 2.9 million EUR Activity code: SST : E-guided vessels: the 'autonomous' ship 6
7 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 7
8 Content Introduction to MUNIN Rationale for unmanned ships Main problems with unmanned ship MUNIN approach Conclusion and summary 8
9 WaterBorne TP 9
10 Slow steaming Route Porto de Tubarao -> Hamburg (Charter = average ) Change due to slow steaming Porto de Tubarao -> Hamburg (Charter = forecast until 2016) Change due to slow steaming Distance [nm] Speed [kn] % % 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$] , ,1 45% , ,4 45% Bunker [US$] , ,0-54% , ,0-54% Total [US$] , ,1-1% , ,4-18% Manning [US$] , ,3 45% , ,3 45% Manning/Total 3,84% 5,64% 5,26% 9,29% Distances by 10
11 Autonomous Slow Steaming Environmentally Reduce CO 2 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 11
12 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 12
13 Content Introduction to MUNIN Rationale for unmanned ships Main problems with unmanned ship MUNIN approach Conclusion and summary 13
14 Communication technology and information transfer Dependent on trade area and cost one have to expect varying degree of communciation service (bandwidth and latency)! AMVER July 2012: 14
15 Lookout and collission avoidance Arpa and AIS exist on board. Small object detection radar, IR cameras, low light cameras etc. are available. Key challenges are to integrate sensors and to classify objects automatically 15
16 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! New approaches to component redundancy as well as preventive maintenance are required. 16
17 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 17
18 Legal and contractual issues Flag state jurisdiction without master? COLREGS? Insurance and liability? Safety at sea SAR? Probably the main problem: It will take time before we see the first fully autonomous ship! 18
19 Content Introduction to MUNIN Rationale for unmanned ships Main problems with unmanned ship MUNIN approach Conclusion and summary 19
20 From manned to autonomous Symbiosis Generic Alternatives Actual Manned Ship Remote Ship Automated Ship Autonomous Ship Radar ECDIS Visual Radar ECDIS Visual Radar ECDIS Visual Radar ECDIS Visual Action Action Action Action 20
21 From manned to autonomous Symbiosis Generic Alternatives Actual Manned Ship Remote Ship Automated Ship Autonomous Ship Radar ECDIS Visual Radar ECDIS Visual Still requires substantial shore crew! Radar ECDIS Visual Not realistic today! Radar ECDIS Visual Action Action Action Action 21
22 From manned to autonomous Symbiosis Generic Alternatives Actual Manned Ship Remote Ship Automated Ship Autonomous Ship Radar ECDIS Visual Radar ECDIS Visual Radar ECDIS Visual Radar ECDIS Visual Action Action Action Action 22
23 Degree of autonomy Autonomy vs. uncertainty Intelligent Autonomous Automatic Fail to safe Onboard route planning Collision avoidance Route keeping Emergency stop Remote control Shore side operation centre Degree of uncertainty 23
24 Main operational modes Problem solved Automatic Autonomous Remote Fail to safe Problem detected Cannot solve Lost contact Operator back in control Emergency response needed 24
25 Simulator configuration Actual data Improved ICT architecture. Actual data Anti-collision / autonomous nav. Efficient operation Improved system robustness. Bridge systems e-maritime ICT Architecture Internet VTMIS/Pilot Remote VTS, pilot and SAR Cooperative decision support Remote operation Health monitoring and planned maintenance Actual data Engine systems Legal and contractual changes Fleet operations control Improved operational procedures Application to other shipping types 25
26 Simulator configuration Actual data Improved ICT architecture. Actual data Anti-collision / autonomous nav. Efficient operation Improved system robustness. Bridge systems e-maritime ICT Architecture Internet VTMIS/Pilot Remote VTS, pilot and SAR Cooperative decision support Remote operation Health monitoring and planned maintenance Actual data Engine systems Legal and contractual changes Fleet operations control Improved operational procedures Application to other shipping types 26
27 Simulator configuration Actual data Improved ICT architecture. Actual data Anti-collision / autonomous nav. Efficient operation Improved system robustness. Bridge systems e-maritime ICT Architecture VTMIS/Pilot Remote VTS, pilot and SAR Cooperative decision support Remote operation Health monitoring and planned maintenance Actual data Engine systems Legal and contractual changes Fleet operations control Improved operational procedures Application to other shipping types 27
28 Simulator configuration Actual data Improved ICT architecture. Actual data Anti-collision / autonomous nav. Efficient operation Improved system robustness. Bridge systems e-maritime ICT Architecture VTMIS/Pilot Remote VTS, pilot and SAR Cooperative decision support Remote operation Health monitoring and planned maintenance Actual data Engine systems Legal and contractual changes Fleet operations control Improved operational procedures Application to other shipping types 28
29 Content Introduction to MUNIN Rationale for unmanned ships Main problems with unmanned ship MUNIN approach Conclusion and summary 29
30 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 30
31 What will MUNIN contribute? Demonstration and tests of the technical issues Legal and cost-benefit analysis New technology also for today's ships 31
32 and then the autonomous ship! 32
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