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HANSA 10-2020

Schiffstechnologie der Zukunft | Leichtbau | Review Compit 2020 | HANSA Engine Survey 2020 | Ihatec-Bilanz | LNG-Umbau Münsterland | Mega-Yachten & Werften | Havarie Peter Pan | Fährschifffahrt

Schiffstechnologie der Zukunft | Leichtbau | Review Compit 2020 | HANSA Engine Survey 2020 | Ihatec-Bilanz | LNG-Umbau Münsterland | Mega-Yachten & Werften | Havarie Peter Pan | Fährschifffahrt

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Schiffstechnik | Ship Technology<br />

Holistic maintenance<br />

support with digital<br />

assistance system<br />

Digital support<br />

Bridge Simulator<br />

© NHL<br />

© Friedewald<br />

© MAN Diesel Academy<br />

Digital transformation in flow<br />

Unmanned Operations, Virtual and Augmented Reality and Unified Data Models: This<br />

year’s COMPIT conference on Computer Applications and Information Technology in the<br />

Maritime Industries took place under special Corona conditions – albeit with no lack of<br />

expertise, reports Hans Payer<br />

COMPIT <strong>2020</strong> was held in the former<br />

monastery Certosa di Pontignano<br />

in the Chianti Region of Toscany.<br />

Volker Bertram, who always selects<br />

appealing locations and venues for his<br />

conferences, made sure that everyone<br />

was safe, with very much space in and<br />

around the Certosa. This was a very special<br />

and intimate meeting with little diversion<br />

and good discussions in the arcades<br />

or under the cypress trees.<br />

Autonomous ships<br />

The fully autonomous ship – is it a viable<br />

vision? Analysis of ship accidents always<br />

finds a relatively high number of consequential<br />

accidents due to human error.<br />

Would the replacement of the human<br />

factor by Artificial Intelligence, AI, be a<br />

logical consequence? For several years,<br />

visionaries have seen the future of AI<br />

and autonomous vehicles on the roads,<br />

in the skies or on the oceans just around<br />

the corner. Only recently have doubts<br />

come up about autonomous ships. Can<br />

AI cope with the unexpected, calling for<br />

quick and reliable reaction?<br />

With an eye on »On-board Human<br />

Operators: Liabilities or Assets« Stig<br />

Eriksen from Denmark investigates<br />

how unmanned operations will influence<br />

the ability to detect and prevent<br />

near-miss incidents from becoming<br />

an accident. He cautioned that in unmanned<br />

operations new kinds of incidents<br />

might occur. From the analysis of<br />

481 near misses he found that 87% were<br />

detected by the crew. On-board safety<br />

systems would have detected the incident<br />

eventually in many cases, but only<br />

after it had become more severe. Monitoring<br />

and failure detection devices<br />

would have to be significantly extended<br />

for unmanned operation.<br />

Realistically, AI cannot fully take over<br />

control from human operators today. It<br />

is missing intuition and has no »gut feeling«.<br />

There are strong indications that –<br />

for now – trained and experienced humans<br />

will remain necessary as a last line<br />

of defence in the automated system.<br />

Marco Bibuli from CNR-INM Genova<br />

gave an example for an autonomous water-surface<br />

vehicle (ASV). The small catamaran<br />

SWAMP (Shallow Water Autonomous<br />

Multipurpose Platform) with an<br />

elastic outside shell was described, built<br />

particularly for the investigation of wetland<br />

areas. It is driven by four 360° water-jet<br />

thrusters mounted at the fore and<br />

aft end of each hull in a way, that they do<br />

not protrude below the keel-line. The dimensions<br />

are 1,230 x 1,250 x 150 mm. It<br />

can be seen as a Water Drone. The vessel<br />

is equipped with Artificial Intelligence<br />

including self- and imitation learning<br />

capabilities and can be trained for its diverse<br />

missions.<br />

The project foresees several such<br />

units operating together within a network,<br />

allowing wider coverage, collect<br />

more data and enhance the overall robustness.<br />

Bibuli explained the use of<br />

AI and machine learning in connection<br />

with these vehicles and showed examples,<br />

where partly unskilled laymen<br />

teach the vehicle to ride a difficult path<br />

autonomously.<br />

VR and AR<br />

The use of Virtual Reality (VR) and Augmented<br />

Reality (AR) has progressed successfully<br />

in the past few years in many<br />

fields. Peter D. Petersen from MAN Energy<br />

Solutions in Copenhagen delivered<br />

insights on »Enhancing the Quality<br />

and Reliability of Maintenance Operations<br />

using Mixed Reality«. A multimedia<br />

application brings interactive and<br />

optimised troubleshooting instructions,<br />

as well as automatic reporting for twoand<br />

four-stroke engines to the maintenance<br />

engineer in action, augmenting<br />

real life engine components and maintenance<br />

scenarios. Using mobile devices or<br />

head mounted displays (HMD) the marine<br />

engineer has access to visual guidance<br />

in 3D, written instructions, diagrams,<br />

checklists, videos, spare-parts<br />

info and much more. The application has<br />

been tested on the ore carrier »Berge K2«,<br />

where the system was connected to the<br />

planned maintenance system to generate<br />

reports and resupply stocks.<br />

Stephan Procee from NHL West-Terschelling<br />

reported on an experiment to<br />

measure the effect of AR on »Situational<br />

Awareness« of seafarers. The interface<br />

is based on design principles such as environmental<br />

data and ship’s characteristics,<br />

particularly regarding manoeuvring.<br />

The effect of additional operational infor-<br />

46 <strong>HANSA</strong> – International Maritime Journal <strong>10</strong> | <strong>2020</strong>

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