大数据环境下的车辆监控公共服务平台研究

发布时间：2018-10-08 14:38

【摘要】：近年来,随着国民经济的快速发展,我国基础设施建设已经达到了一个新的高度,交通运输业迅猛发展。车辆数量每年以一定的增幅在持续增加,车辆行驶环境、行车道路状况也越来越复杂,实时的车辆信息监控在一定程度上能够提高资源利用率,降低物流风险,提高运输效率。但随着车辆数据的增多,现有的车辆监控系统数据处理量已经不能满足日益增长的需求,因此急需一个能处理海量数据高并发情况下的监控平台来保证实时监控的准确性与高效性。本文以某大型钢铁企业GPS车船监控系统开发为背景,研究了大数据环境下三层B/S体系结构的车辆监控公共服务平台的架构方法。论文在分析国内车辆监控系统及海量数据存储研究和应用现状的基础上,针对现有车辆监控平台面临的海量数据高并发情况,分析了该类监控平台开发过程中涉及的关键问题,提出了MySQL数据库与HBase数据库相结合的三层B/S体系结构的车辆监控公共服务平台架构方法,同时提出基于负载均衡的服务器集群方案,并分别给出了设计方法。论文详细描述了数据库、通讯服务器、web服务器等软件模块的设计与实现过程,包括实时监控、轨迹回放、报警提示、信息统计、日志记录、系统管理等各类功能。本文提出的针对三层B/S体系结构的车辆监控公共服务平台的整体架构方法,能够在海量数据和高并发条件下满足用户的业务功能需求,对类似平台的搭建具有良好的启发作用。
[Abstract]:In recent years, with the rapid development of national economy, China's infrastructure construction has reached a new height, the transportation industry has developed rapidly. The number of vehicles continues to increase with a certain increase every year. The driving environment and road conditions are becoming more and more complex. The real-time monitoring of vehicle information can improve the utilization of resources, reduce the risk of logistics, and improve the efficiency of transportation to a certain extent. However, with the increase of vehicle data, the data processing capacity of the existing vehicle monitoring system can no longer meet the increasing demand. Therefore, it is urgent to ensure the accuracy and efficiency of real-time monitoring by a monitoring platform that can deal with high concurrency of massive data. Based on the development of GPS vehicle and ship monitoring system in a large iron and steel enterprise, this paper studies the construction method of the public service platform of vehicle monitoring and control based on the three-tier B / S architecture under big data environment. On the basis of analyzing the research and application status of domestic vehicle monitoring system and mass data storage, this paper analyzes the key problems involved in the development of this kind of monitoring platform in view of the high concurrency of mass data faced by the existing vehicle monitoring platform. This paper presents a three-tier B / S architecture based on MySQL database and HBase database for vehicle monitoring public service platform. At the same time, a server cluster scheme based on load balancing is proposed, and the design methods are given respectively. This paper describes in detail the design and implementation of software modules such as database, communication server and web server, including real-time monitoring, track playback, alarm warning, information statistics, log recording, system management and other functions. In this paper, a three-tier B / S architecture for the vehicle monitoring public service platform is proposed, which can meet the needs of users' business functions under the conditions of massive data and high concurrency, and has a good enlightening effect on the construction of similar platforms.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495;TP277

【相似文献】