为了满足现代船舶的发展需求，结合船舶自动识别系统（AIS）数据量巨大，包含了丰富的船舶信息等优点。本文利用SQL2012对AIS数据进行处理，建立包含船舶静态信息和动态信息的数据库；借助C#程序语言，构建以中心船舶为原点的网格坐标系，并以船舶间相对距离方位计算周围船舶在网格中的相对位置坐标；对同长度和类型的船舶进行网格叠加计算，并以船舶频数的方式进行统计，采用数据处理软件Matlab以最小二乘法的方式对统计结果进行处理；对研究水域的主要船型不同尺度的船舶领域进行对比和统计分析，并对不同船型船舶领域略作讨论，总结得出开阔水域船舶领域的特点。
In light of meeting the needs of developing modern ships and considering the advantage of AIS which could provide massive data and ample ship information, dataset containing both static and dynamic ship information was established through processing AIS data by using SQL2012. The grid coordinate of which origin is taken as ship' s center was constructed by C# programming language, and coordinate of relative position was calculated based on the inter-ship relative bearing and distance. After that, the superimposed calculation was applied to those ships with the same length and type, statistics was made to the ship's frequency, and then the final statistics was processed by using data processing software Matlab with the least square method. Finally, the comparison and statistical analysis were carried out to the ship domain of prevailing ship type with different dimensions in defined water. The features of ship domain in open water were concluded based on the discussion of ship domains of different ship type.
2017,39(5): 152-156 收稿日期：2016-08-08
DOI：10.3404/j.issn.1672-7619.2017.05.031
分类号：U675
基金项目：国家自然科学基金资助项目（61401057）；大连市科技计划资助项目（2015A11GX018）
作者简介：赵健(1980-),男,讲师,主要从事交通信息工程、海事安全及自动控制领域的教学和研究
参考文献：
[1] 刘金龙, 张玮, 刘曙明. 基于停船视距和积分运算的船舶领域计算方法[J]. 中国港湾建设, 2014(9):1-4.
[2] 任亚磊. 基于AIS数据的船舶会遇特征研究[D]. 武汉:武汉理工大学, 2013.
[3] 刘绍满, 王宁, 吴兆麟. 船舶领域研究综述[J]. 大连海事大学学报, 2011, 37(1):51-54. LIU Shao-man, WANG Ning, WU Zhao-lin. Review of research on ship domain[J]. Journal of Dalian Maritime University, 2011, 37(1):51-54.
[4] 齐乐. 基于AIS数据的船舶领域研究[D]. 大连:大连海事大学, 2012.
[5] 徐务农, 边少锋, 陈永冰. 舰船避碰系统研究综述[J]. 舰船科学技术, 2008, 30(6):42-46. XU Wu-nong, BIAN Shao-feng, CHEN Yong-bing. Survey of research on ships collision avoidance system[J]. Ship Science and Technology, 2008, 30(6):42-46.
[6] 魏勇, 谭志伟, 杨磊. 利用AIS数据库实现船舶状态数据监测与挖掘[J]. 舰船科学技术, 2015, 37(4):124-127. WEI Yong, TAN Zhi-wei, YANG Lei. The application of monitoring the state data of ship based on AIS[J]. Ship Science and Technology, 2015, 37(4):124-127.
[7] 潘辉. 浅析船舶密度和船舶密度分布[J]. 中国水运, 2007, 5(12):17-18.
[8] 向哲, 胡勤友, 施朝健, 等. 基于AIS数据的受限水域船舶领域计算方法[J]. 交通运输工程学报, 2015, 15(5):110-117.
[9] 李惠敏. 成山头水域海上交通事故特征及致因分析研究[D]. 武汉:武汉理工大学, 2012.
[10] 常会振. 船载AIS信息精度分析及误差预警系统的研究[D]. 大连:大连海事大学, 2011.
[11] 金兴赋, 付玉慧, 张连东. 基于AIS数据的成山头水域船舶交通流研究[J]. 大连海事大学学报:自然科学版, 2012(1):33-36.
[12] IPEREN E V. Detection of hazardous encounters at the North sea from AIS Data[J]. 2012(1):15-17.
