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Developments toward the

unmanned ship

Ørnulf Jan RØDSETH, Research Director MARINTEK Dept. Maritime Transport Systems

[email protected]

Hans-Christoph BURMEISTER, Research Associate Fraunhofer Center for Maritime Logistics and Services CML

[email protected]

http://www.unmanned-ship.org

(2)

Content

Introduction to MUNIN

Rationale for unmanned ships

Main problems with unmanned ship

MUNIN approach

(3)

Content

Introduction to MUNIN

Rationale for unmanned ships

Main problems with unmanned ship MUNIN approach

(4)

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

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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

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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:

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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

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Content

Introduction to MUNIN

Rationale for unmanned ships

Main problems with unmanned ship MUNIN approach

(9)
(10)

Slow steaming

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)

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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

(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

(13)

Content

Introduction to MUNIN

Rationale for unmanned ships

Main problems with unmanned ship

MUNIN approach

(14)

Communication technology and

information transfer

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

(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

(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

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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

(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

(19)

Content

Introduction to MUNIN

Rationale for unmanned ships

Main problems with unmanned ship

MUNIN approach

(20)

From manned to autonomous

Radar ECDIS Visual … Action Radar ECDIS Visual … Radar ECDIS Visual … Manned Ship Remote Ship Automated Ship Radar Action Action Ge ne ric A lte rn at iv es os is Act ua l

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From manned to autonomous

Radar ECDIS Visual … Action Radar ECDIS Visual … Radar ECDIS Visual … Manned Ship Remote Ship Automated Ship Radar ECDIS Autonomous Ship Action Action Ge ne ric A lte rn at iv es bi os is Act ua l

Still requires substantial shore crew !

Not realistic today !

(22)

From manned to autonomous

Radar ECDIS Visual … Action Radar ECDIS Visual … Radar ECDIS Visual … Manned Ship Remote Ship Automated Ship Radar Action Action Ge ne ric A lte rn at iv es os is Act ua l

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Autonomy vs. uncertainty

Degree of autonomy Degree of uncertainty Fail to safe Automatic Autonomous Intelligent Emergency stop Route keeping Collision avoidance

Onboard route planning

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Main operational modes

Automatic Autonomous Remote Fail to safe

Problem

detected Cannot solve contact Lost

Operator back in control Emergency response needed Problem solved

(25)

Simulator configuration

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

(26)

Simulator configuration

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

(27)

Simulator configuration

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

(28)

Simulator configuration

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

(29)

Content

Introduction to MUNIN

Rationale for unmanned ships

Main problems with unmanned ship MUNIN approach

(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

(31)

What will MUNIN contribute?

Demonstration and tests of the technical issues

Legal and cost-benefit analysis

(32)

References

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