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Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis Cover

Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis

By: Wei Li and  Qian Huang  
Open Access
|Nov 2017

Abstract

In order to solve the problem that current avoidance method of shipwreck has the problem of low success rate of avoidance, this paper proposes a method of intelligent avoidance of shipwreck based on big data analysis. Firstly,our method used big data analysis to calculate the safe distance of approach of ship under the head-on situation, the crossing situation and the overtaking situation.On this basis, by calculating the risk-degree of collision of ships,our research determined the degree of immediate danger of ships.Finally, we calculated the three kinds of evaluation function of ship navigation, and used genetic algorithm to realize the intelligent avoidance of shipwreck.Experimental result shows that compared the proposed method with the traditional method in two in a recent meeting when the distance to closest point of approach between two ships is 0.13nmile, they can effectively evade.The success rate of avoidance is high.

DOI: https://doi.org/10.1515/pomr-2017-0125 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 213 - 220
Published on: Nov 22, 2017
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Wei Li, Qian Huang, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.