Choice of the Fractal Method For Visualization of Input Data While Designing Support Systems for Decision-Making by Navigator
DOI:
https://doi.org/10.15407/scine17.05.063Keywords:
Decision support system, ship ergatic system, navigation safetyAbstract
Introduction. The constant increase in the amount and intensity of traffic requires organization and precise management.
Problem Statement. In the present-day conditions, when the number of vessels engaged on internal and external routes has been growing, without the vessel driver/navigator all alone are not physically able to assess the navigation situation and to make the right decision how to operate his vessel. The need to develop and to implement algorithms that help address the issue of navigation safety is an important task, especially when it comes to the management of groups of vessels. The main approaches that allow generalizing the information flows to ensure continuous and safe navigation are the formation of a structured system of processing and evaluation of input factors and related output parameters. This enables controlling the ergatic system of vessel, given a significant number of factors.
Purpose. The purpose of this research is to create new approaches to controlling the vessel ergatic system for making an optimal and timely decision.
Materials and Methods. Fractal methods for representation of the primary information and applied computer programs of mathematical simulation have been used.
Results. The proposed model of information processing as part of the vessel ergatic system is designed to comprehensively ensure the safety of vessels, while providing control and optimization of both operational and organizational parameters and diagnostic functions, with the ability to predict and to prevent failures of the vessel engineering system.
Conclusions. The applicability of general algorithms for the processing of information and its structuring according to the degree of impact has been shown. The application of these approaches solves the problem of overloading the navigator with excessive navigational information and reduces decision-making time. The developed
algorithm allows creating an automatic control system for groups of vessels in real conditions of difficult navigation environment.
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