Research on intelligent avoidance method of shipwreck based on bigdata analysis

• Autorzy: Li W. , Huang Q.

Identyfikatory

DOI

10.1515/pomr-2017-0125

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

big data analysis; shipwreck; intelligent avoidance; genetic algorithm

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: S 3
• Strony: 113--120
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Li W.

• Information Center Renmin Hospital of Wuhan University Wuhan 430060 China

autor

Huang Q.

• Wuchang Polytechnic College, Wuhan 430060, China

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).