基于大数据环境下的船舶交通流特征统计分析系统研究

发布时间：2018-03-23 05:42

本文选题：船舶　切入点：交通流特征模型　出处：《武汉理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着船舶交通流量的快速增长和交通流特征的日趋复杂，，船舶交通流研究已进入大数据时代，如何有效地收集交通流数据、挖掘数据，从海量数据中提取出需要的船舶交通流特征，并将信息及时应用于海事安全保障、港口交通调度及安全设施的布置与建设中已日益成为水上交通领域一个难以把控的问题。因此，有必要从海事主管机关、港口调度部门和船公司的角度出发，对海量的船舶交通流数据的宏观和微观特征做全面、系统的研究，构建能客观全面描述交通流特征的统计分析模型，并在此基础上开发船舶交通流特征统计分析系统。本研究运用系统工程学、统计学理论和方法系统、全面的研究了船舶交通流特征，在此基础上使用VC与SQL语言开发适应海事主管机关、港口调度部门和船公司等需求的船舶交通流特征统计分析系统，并利用实测交通流数据对系统各功能进行测试。主要研究内容包括：（1）构建船舶交通流特征模型。利用特征理论全面、系统地分析了船舶交通流宏观、微观特征值及其指标反映，构建了船舶交通流特征模型；通过向相关海事机关、港口管理部门和船公司开展问卷调查，建立了分别针对海事主管机关、港口调度部门和船舶公司需求的船舶交通流特征表达/表征模型。（2）开发船舶交通流特征统计分析系统。利用VC与SQL语言开发了能够分别适应海事主管机关、港口调度部门和船公司的船舶交通流特征统计分析系统，系统主要分为海事子系统、港口子系统和船公司子系统，依次对应海事主管机关、港口调度部门和船公司的不同需求，各子系统主要实现船舶的条件查询、船舶交通流的分布统计和船舶流量及组成统计3个功能，其中分布统计结果能图形化显示，所有统计分析结果均能保存和导出。（3）进行系统实测。利用2008年天津港实测交通流数据对系统各功能进行测试，测试结果表明本系统界面友好，运行稳定，总体可以实现预期设计的各项功能，后期将进一步对系统进行不断完善。本研究开发的船舶交通流特征统计分析系统能有效地收集交通流数据、挖掘数据，从海量数据中提取出需要的船舶交通流特征，为港口泊位、航道、锚地的规划与建设提供基础性数据和决策支撑，为船舶通航安全管理、交通组织、港口调度、航路航线优化等提供参考。
[Abstract]:With the rapid growth of ship traffic flow and the increasing complexity of traffic flow characteristics, the study of ship traffic flow has entered the era of big data, how to collect traffic flow data effectively, mining data, The characteristics of ship traffic flow are extracted from the massive data, and the information is applied to maritime safety and security in a timely manner. The layout and construction of port traffic dispatching and safety facilities has become an increasingly difficult problem in the field of waterborne transportation. Therefore, it is necessary to proceed from the point of view of maritime authorities, port dispatch departments and shipping companies. The macro and micro characteristics of massive ship traffic flow data are studied comprehensively and systematically, and a statistical analysis model which can objectively and comprehensively describe the traffic flow characteristics is constructed, and a statistical analysis system of ship traffic flow characteristics is developed on this basis. This study uses system engineering, statistical theory and method system to study the characteristics of ship traffic flow comprehensively. On this basis, it uses VC and SQL language to develop and adapt to the maritime authorities. The statistical analysis system of ship traffic flow characteristics, which is required by port dispatch department and shipping company, is used to test the functions of the system by using the measured traffic flow data. The main research contents are as follows:. 1) build the characteristic model of ship traffic flow, analyze the macroscopic and microscopic characteristic value of ship traffic flow and its index reflection systematically by using characteristic theory, and construct the characteristic model of ship traffic flow. The port management department and the shipping company carried out the questionnaire survey, and established the ship traffic flow characteristic expression / representation model according to the maritime authority, the port dispatch department and the ship company demand, respectively. The statistical analysis system of ship traffic flow characteristics is developed by using VC and SQL language. The statistical analysis system of ship traffic flow characteristics, which can be adapted to maritime authorities, port dispatch departments and shipping companies, respectively, is developed. The system is mainly divided into maritime subsystem. The port subsystem and the shipping company subsystem correspond to the different needs of the maritime authority, the port dispatch department and the shipping company in turn. Each subsystem mainly realizes the condition inquiry of the ship. There are three functions of ship traffic flow distribution statistics and ship flow and composition statistics. The distribution statistics results can be graphically displayed and all the statistical analysis results can be saved and derived. The test results show that the system has friendly interface and stable operation, and can realize all the functions of the expected design, using the measured traffic flow data of Tianjin Port in 2008, and the test results show that the system has a friendly interface and stable operation. The system will be further improved in the later period. The statistical analysis system of ship traffic flow characteristics developed in this paper can effectively collect traffic flow data, mine the data and extract the necessary ship traffic flow characteristics from the massive data, which are port berths and waterways. The planning and construction of Anchorage provide basic data and decision support, which can provide reference for ship navigation safety management, traffic organization, port scheduling, route route optimization and so on.
【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U692

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