基于云计算的机动车缉查布控联网系统设计与应用

发布时间：2018-03-27 19:32

本文选题：缉查布控　切入点：大数据云计算技术　出处：《东南大学》2016年硕士论文

【摘要】：国家科技行动计划一期《道路交通安全智能化管控关键技术及集成示范》目前主要由公安部交通管理科学研究所承担,根据《“十二五”道路交通管理科技信息化发展规划》以及公安机关图像信息联网应用要求,2013年开始,公安部已组织全国机动车缉查布控系统联网建设工作,本文基于此背景重点开展全国卡口系统联网研究工作。近年来,为强化路面动态监控,各级公安交通管理部门开始大规模建设车辆智能监测记录系统(以下简称卡口系统)。据统计,全国建成的各类省际、市际等主干公路卡口共7600多个,以往各省之间甚至部分省内系统采集的信息无法实现全国共享,信息孤岛情况较为严重。同时,随着接入缉查布控系统的卡口数量日益增多,汇聚的车辆通行信息也随之海量提升,目前江苏、浙江、山东等省一天的机动车通行数据约1亿条,还有大量的图片、视频数据。再使用传统的ORACLE或DB2关系型数据库,其存储成本非常高,数据查询效率低下,已无法满足正常的业务办理和实时查询要求,缉查布控系统联网后集中式数据库已经日渐成为瓶颈。本文根据跨区域数据的分发、交换等机制设计了全国机动车缉查布控系统联网总体架构和公安内外网海量数据的接入架构；采用基于开源的Hadoop技术,通过Kafka消息中间件缓冲、Spark Streaming实时计算框架、HBase分布式数据库实现了百亿级机动车通行数据的存储和处理。通过分布式服务集群、负载均衡等技术实现了数据的并行存储,并根据实际需要可对服务能力和存储容量进行弹性扩展的能力；设计了全国机动车缉查布控系统软件和数据接入服务程序。研究成果目前已在全国公安交通管理部门推广应用,已实现全国卡口系统联网、全国机动车过车信息汇聚、全国的缉查布控信息采集、交换和预警等功能。本文的研究成果对强化卡口系统应用,提升动态化、信息化条件下公路交通安全管控水平具有非常重要的现实意义。
[Abstract]:At present, the National Science and Technology Action Plan I "key Technologies and Integrated demonstration of Intelligent Control of Road Traffic Safety" is mainly undertaken by the Research Institute of Traffic Management of the Ministry of Public Security. According to the "12th Five-Year Plan" for the Development of Road Traffic Management Science and Technology Informatization, and the requirements for the application of public security organs' image and information networking, the Ministry of Public Security has organized the construction of a nationwide motorized vehicle investigation and distribution and control system network starting in 2013. Based on this background, this paper focuses on the research work of national bayonet system networking. In recent years, in order to strengthen the dynamic monitoring of pavement, The public security and traffic management departments at all levels began to build a large-scale vehicle intelligent monitoring and recording system (hereinafter referred to as the bayonet system). According to statistics, more than 7600 interprovincial, inter-city and other interprovincial and inter-city bayonets have been built in the country. In the past, the information collected by various provinces and even parts of the provinces could not be shared by the whole country, and the situation of isolated information islands was serious. At the same time, with the increasing number of bayonets connected to the inspection and control system, The converging traffic information of vehicles has also been greatly enhanced. At present, there are about 100 million vehicle traffic data per day in Jiangsu, Zhejiang, Shandong and other provinces, as well as a large number of pictures and video data. Then we use the traditional ORACLE or DB2 relational database. Its storage cost is very high, the efficiency of data query is low, it can not meet the normal business processing and real-time query requirements, the centralized database has become a bottleneck after the networked search and control system. In this paper, according to the distribution of cross-regional data, The general network architecture of the national vehicle search and control system and the access structure of the massive data of the public security inside and outside network are designed, and the open source Hadoop technology is adopted. The distributed data storage and processing of tens of billions of motor vehicles are realized by Kafka message middleware buffer and Spark Streaming real-time computing framework, and the parallel storage of data is realized by distributed service cluster, load balancing and other technologies. The software and data access service program of the national motor vehicle search and distribution control system are designed according to the actual needs, and the research results have been popularized and applied in the national public security traffic management department. It has realized the functions of the national bayonet system networking, the national vehicle passing information gathering, the information collection, exchange and early warning of the whole country. The research results of this paper can strengthen the application of the bayonet system and enhance the dynamic. The level of highway traffic safety control has very important practical significance under the condition of information technology.
【学位授予单位】：东南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U495;TP311.52

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