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Multi-Sensor Data Fusion for the Vessel Trim Analyzer and Optimization Platform

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Autore
Filippopoulos I., Lajic Z., Mitsopoulos G., Senteris A., Pearson M.
Data
2019
Language
en
DOI
10.1109/ICSRS48664.2019.8987689
Soggetto
Data fusion
Decision making
Internet of things
Personnel selection
Reliability
Sensors
User interfaces
Wave power
Corrected power
Draught
Monitoring system
Power model
Shaft power
Trim analysis
Vessel performance
Sensor data fusion
Institute of Electrical and Electronics Engineers Inc.
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Abstract
The purpose of this paper is to describe a platform and the multi-sensor Data Fusion., that is used to analyze the power consumed regarding the Vessel's trim during past Voyages and to provide decision making support about the trim for futures Voyages. Platform collects data from several resources., including live data from sensors, aggregates, and analyses them. Platform also provides simplified user interfaces and indicators to the maritime company's specialized personnel and the Vessel's Captain and Chief Engineer for best 'trimming' selection. Maran Tankers Management Inc. is a maritime company that uses the described platform for more than forty (40) Tanker Vessels. © 2019 IEEE.
URI
http://hdl.handle.net/11615/71579
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