基于AIS数据的船舶领域影响因素分析

发布时间：2019-01-10 12:49

【摘要】：为比较互见中开阔水域不同船舶领域影响因素的重要性,应用粗糙集理论的相关算法,对船舶领域影响因素之间的依赖关系进行分析,并进行影响因素约简和影响因素重要度计算.以渤海及黄海北部船舶自动识别系统(Automatic Identification System,AIS)的数据为基础,应用MATLAB编程计算,得到船舶领域影响因素之间的依赖度、相对约简集和影响因素重要度.结果表明:船舶领域影响因素之间存在不同程度的冗余,其中风、浪或流可约简掉;会遇角度、航速、船舶大小、驾驶员级别、船舶密度、船舶类型和能见度的重要度分别为0.279 1,0.200 8,0.179 4,0.212 1,0.235 9,0.122 9和0.093 5.该研究表明:在保证对船舶领域影响分辨性不变的前提下,驾驶员可选择较重要因素对船舶领域进行判断,并采取较恰当的避碰行动,保障航行安全;但在特殊的环境下,某些影响因素需要特别考虑.
[Abstract]:In order to compare the importance of the influence factors of different ship domains in open water in mutual sight, this paper analyzes the dependence of ship field influencing factors by using the relevant algorithms of rough set theory. The factors are reduced and the importance of the influencing factors is calculated. Based on the data of Bohai Sea and Huang Hai's Northern ship Identification system (Automatic Identification System,AIS), the dependence degree, relative reduction set and importance degree of influencing factors in ship field are obtained by using MATLAB programming. The results show that there are different degrees of redundancy among the influencing factors in ship field, in which wind, wave or current can be reduced; The importance of encounter angle, speed, ship size, pilot class, ship density, ship type and visibility are 0.279 1 / 0. 2008 / 0. 179 / 4 / 0.212 1 / 0.235 / 9 / 0.122 9 and 0.093 / 5 respectively. The research shows that under the premise that the influence on the ship field remains unchanged, the pilot can choose more important factors to judge the ship field, and take more appropriate collision avoidance actions to ensure the safety of navigation. However, in a special environment, some factors need to be considered.
【作者单位】：大连海事大学航海学院;
【基金】：国家自然科学基金(51409033)
【分类号】：U675.7

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