Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis

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 approa...

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Main Authors: Li Wei, Huang Qian
Format: Article
Language:English
Published: Sciendo 2017-11-01
Series:Polish Maritime Research
Subjects:
Online Access:https://doi.org/10.1515/pomr-2017-0125
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author Li Wei
Huang Qian
author_facet Li Wei
Huang Qian
author_sort Li Wei
collection DOAJ
description 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.
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spelling doaj.art-ec75a59b509140548b36172f6e92eee32022-12-21T18:38:16ZengSciendoPolish Maritime Research2083-74292017-11-0124s321322010.1515/pomr-2017-0125pomr-2017-0125Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata AnalysisLi Wei0Huang Qian1Information Center, Renmin Hospital of Wuhan University, Wuhan 430060, ChinaWuchang Polytechnic College, Wuhan 430060, ChinaIn 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.https://doi.org/10.1515/pomr-2017-0125big data analysisshipwreckintelligent avoidancegenetic algorithm
spellingShingle Li Wei
Huang Qian
Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
Polish Maritime Research
big data analysis
shipwreck
intelligent avoidance
genetic algorithm
title Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
title_full Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
title_fullStr Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
title_full_unstemmed Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
title_short Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
title_sort research on intelligent avoidance method of shipwreck based on bigdata analysis
topic big data analysis
shipwreck
intelligent avoidance
genetic algorithm
url https://doi.org/10.1515/pomr-2017-0125
work_keys_str_mv AT liwei researchonintelligentavoidancemethodofshipwreckbasedonbigdataanalysis
AT huangqian researchonintelligentavoidancemethodofshipwreckbasedonbigdataanalysis