VTS在边防辖区及口岸防控的应用研究

发布时间：2019-01-28 23:04

【摘要】：为了提升我国海港边防检查部门预防和打击非法出入境违法犯罪的能力,进一步丰富边防信息化管控的手段,着力解决耗费人力大、监管难度高的锚地小型船舶监管的问题。本课题依托交通运输部承担的“船舶交通管理系统多信源综合处理与互联国产化关键技术”研究项目,基于国产船舶交通管理系统(Vessel Traffic System, VTS),设计符合边防检查工作需求的边防锚地管理信息系统(Anchorage Management Information System,AMIS),旨在分析国产VTS在边防领域应用的技术难题,重点实现对锚地载运偷渡人员搭靠外轮的小型船舶的目标识别提取、跟踪融合和预警判断。本文首先介绍AMIS系统结构组成,明确边防部门指挥中心对多传感器数据源的接入要求,对雷达子系统与AIS系统作用和原理进行简述和作用比对。其次通过雷达数字化转换、多种滤波方式、回波点迹凝聚技术和回波点聚合目标识别与抗干扰合并技术实现对锚地小型船舶的目标提取。通过对小目标跟踪特殊处理实现对锚地小型船舶的实时跟踪,应用多信源综合处理和目标信息融合算法实现雷达与AIS数据融合。依照边防业务要求,制定报警规则,通过设置警戒圈CPA/TCPA预警法,实现对锚地船舶违法搭靠行为的预警与实时报警,方便一线执勤人员快速、准确打击违法行为。最后,基于MATLAB仿真与Visual Studio 2008编程工具实现了本文算法的仿真分析和运用结果,并对AMIS系统的锚地小目标提取准确性、图像识别分辨能力以及船舶搭靠行为预警报警可行性进行评估,证实该系统在实际边防检查工作中的实用性。
[Abstract]:In order to improve the capability of preventing and cracking down on illegal entry and exit illegal crimes in the port frontier inspection department of our country, this paper further enriches the means of information control of frontier defense, and makes great efforts to solve the problem of supervision of small ship in Anchorage, which consumes a lot of manpower and is difficult to supervise. This subject relies on the research project of "the key Technology of Integrated processing and Interconnection of multiple sources in ship Traffic Management system", which is undertaken by the Ministry of Communications and Transport, and based on the domestic ship Traffic Management system (Vessel Traffic System, VTS),). In order to analyze the technical problems of the application of domestic VTS in the frontier defense field, the paper designs a border Anchorage management information system (Anchorage Management Information System,AMIS), which meets the needs of frontier inspection. The target identification extraction tracking fusion and early warning judgment of small ship carrying stowaways in Anchorage are mainly realized. This paper first introduces the structure of AMIS system, clarifies the requirements of the border department command center for the access of multi-sensor data sources, and gives a brief description and comparison of the function and principle of radar subsystem and AIS system. Secondly, radar digital conversion, various filtering methods, echo point trace condensation technology, echo point aggregation target recognition and anti-jamming combination technology are used to realize the target extraction of small ship in Anchorage. The real-time tracking of small ship in Anchorage is realized through the special processing of small target tracking, and the data fusion between radar and AIS is realized by using multi-source synthesis processing and target information fusion algorithm. According to the requirements of frontier defense, the rules of warning are formulated, and the warning and real time alarm of illegal berthing behavior of ships in Anchorage are realized by setting CPA/TCPA law of guard ring, which is convenient for the front-line officers to attack the illegal behavior quickly and accurately. Finally, based on MATLAB simulation and Visual Studio 2008 programming tools, the simulation analysis and application results of this algorithm are realized, and the accuracy of small target extraction from Anchorage of AMIS system is also discussed. The ability of image recognition and the feasibility of early warning and warning of shipbuilding behavior are evaluated, which proves the practicability of the system in the actual frontier inspection work.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U691.1

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