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Author Przeniosło, Łukasz
Affiliation Westpomeranian University of Technology, Electrical Engineering Faculty Department of Power Systems and Electrical Drives
E-mail lukasz.przenioslo@zut.edu.pl
Author Peschke, Jörg
Affiliation MacGregor Germany GmbH & Co. KG, Germany
E-mail joerg.peschke@macgregor
Author Hering, Jörg
Affiliation MacGregor Germany GmbH & Co. KG, Germany
E-mail joerg.hering@macgregor.com
ISSN printed 1733-8670
URI https://repository.scientific-journals.eu/handle/123456789/2600
Abstract The recent rapid improvement of nautical equipment functionality allows one to better observe and predict the dangers related to seamanship. However, these new features come with added complexity, and large amounts of information can overwhelm vessel crews and fleet operation centers, and the current state-of-the-art tools cannot filter out only the most important data for a given time and location. This paper presents the concepts and the algorithms of a software suite that provides a user with problem-oriented advice about a particular risk endangering a vessel and its crew. Based on the calculated navigational dangers and their predicted development, actionable guidance is proposed in an easy-to-understand human language. The quality of good seamanship is improved by a holistic approach to vessel installation, automated fleet operation center priority queuing, and the evaluation of crew performance during simulator training and daily operations. Both the software user interface, as well as the insights provided by the algorithm, are discussed.
Pages 83-88
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords good seamanship
Keywords fuzzy logic
Keywords holistic algorithms
Keywords data fusion
Keywords maritime risk
Keywords vessels safety
Title Improvement of good seamanship using specialized processes and algorithms onboard ships, in fleet operation centers, and in simulations
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ISSN on-line 2392-0378
Language English
Funding No data
Figures 7
Tables 1
DOI 10.17402/403
Published 2020-03-31
Accepted 2019-12-05
Recieved 2019-10-23

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