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Content available remote Multisensor Data Fusion in the Decision Process on the Bridge of the Vessel
EN
More and more electronic devices appears on the bridge of the vessel. All of them are supposed to help navigator in his work. Some of them are useful for exchanging data among vessels. Nowadays navigator can observe surroundings of the vessel on screens of some different systems of exchanging data. It is obvious that there are some advantages and some disadvantages of each of these systems. Proposal of the author is connecting data obtained from mentioned systems by means of data fusion technique. Joining few systems in one will be helpful at making decision on the bridge of the vessel. This paper is an introduction to consideration how to use the data fusion in the maritime navigation.
2
Content available remote Intelligent Ship Control System
EN
The article present intelligent control system of ship motion in situations threatening with collision. The goal of the presented system is to support the navigator in decision making, with possible full replacement of his work in the future. In this article, it was introduced system joins work of three computer techniques, evolutionary algorithms to marking of optimum path of passages, fuzzy logic to control ship after set path of passage and multivariable robust control to precise movement of the vessel with very small velocity and any drift angle. Introduced system has to assure safe trip of ship in each navigational conditions with regard of weather conditions and met navigational objects of static or dynamic nature. For testing of the operation the system, the marine environment simulator was used to present navigational situations in a 3D graphical mode at the poor hydro- and meteorological conditions.
3
Content available remote Multiobjective approach to weather routing
EN
The paper presents a weather routing solution for sail-assisted ships. Since the route finding optimisation process is a multiobjective one, the emphasis is put on possible application of multiobjective optimisation methods. The paper focuses on two such methods, namely evolutionary algorithms and ranking methods represented by Fuzzy TOPSIS. In addition, a proposed set of optimization criteria is presented. Descriptions of assumed ship and sail models as well as exemplary speed characteristic are also provided. Finally, a proposal of application to a weather routing tool is presented.
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