基于云计算的运输车辆远程实时监测与管理系统的设计
发布时间：2018-08-23 10:30
【摘要】：随着中国手机网民的数量不断上升的趋势,移动应用的开发也是水涨船高。移动应用也以其功能强大、便捷性为绝大多数网民甚至一些企业带来了更便利的生活方式和办公方式。在移动应用逐渐形成一个大趋势的形式下,一些对运输车辆的运输过程有监控要求的大型生产企业和相关的承运商都把目光放在了移动监控的功能上。如何实现企业用户和物流承运商通过自己的手机就可以监测并管理运输司机的问题,就是本系统所研究的问题。本系统的建设背景是太钢物流实时监测平台项目,在该项目中,作者参与的主要工作是提出移动GPS+Cell ID+网络定位的混合定位方式、数据处理层中Hadoop数据处理架构模型的搭建以及系统的负载测试工作。 大多数企业和运输服务业主以及运货司机的合作关系较松散,企业很难实现主动、实时定位运输车辆的需求,如果企业自己建立覆盖范围较广的监控系统需要投入巨大资金。基于云计算的车辆远程实时监测和管理系统,不仅使企业避免了巨大的投资就可以实现主动监管货物运输的过程,而且结合移动技术,还使企业用户实现了在企业移动终端实时监测司机位置的功能。 论文主要结合目前移动终端多种定位功能的优缺点,将多种定位技术进行有效的融合,扬长避短,实现全空间定位,而且实时将定位数据上传到后台,作为企业用户或承运商用户的定位依据。 系统基于云计算的三层服务架构,实现了三层架构的建设,而且建设成为一个车辆位置实时监测的云平台,使不同用户可以按需购买或租赁系统的功能。通过将云计算与移动技术相结合,实现将移动测量端的数据传送到系统云平台,并且实现企业用户或承运商用户通过移动客户终端实时监测司机用户端的功能。系统在云计算的架构中结合Hadoop分布式处理技术,通过Hadoop的大数据处理能力,使企业用户可以在海量定位数据中挖掘到有效信息,并且提高了系统的整体数据处理速度和能力。
[Abstract]:With the increasing number of mobile phone users in China, the development of mobile applications is rising. Mobile applications also bring a more convenient way of life and office for the vast majority of Internet users and even some enterprises because of its powerful function and convenience. In the form of a general trend of mobile applications, some large production enterprises and related carriers who have the requirement of monitoring the transportation process of transport vehicles have focused their attention on the function of mobile monitoring. How to realize the problem that enterprise users and logistics carriers can monitor and manage transport drivers through their own mobile phones is the problem studied in this system. The background of this system is the real time monitoring platform project of logistics in Taigang. In this project, the main work of the author is to put forward the hybrid positioning mode of mobile GPS Cell ID network positioning. The construction of Hadoop data processing architecture model and the load test of the system in data processing layer. Most enterprises have looser cooperative relationship with transport service owners and cargo drivers, and it is difficult for enterprises to take the initiative to locate the demand of transport vehicles in real time. If the enterprises themselves set up a wide range of monitoring systems, they need to invest a great deal of money. The vehicle remote real-time monitoring and management system based on cloud computing not only enables enterprises to realize the process of actively supervising the transportation of goods without huge investment, but also combines mobile technology. It also enables the enterprise users to monitor the driver's position in the enterprise mobile terminal in real time. This paper mainly combines the advantages and disadvantages of various positioning functions of the mobile terminal, effectively integrates the various positioning technologies, takes advantage of the advantages and circumvent the weaknesses, realizes the full space positioning, and uploads the positioning data to the background in real time. As an enterprise user or carrier user positioning basis. Based on the three-tier service architecture of cloud computing, the system realizes the construction of three-tier architecture and becomes a cloud platform for real-time monitoring of vehicle location, which enables different users to purchase or lease the functions of the system on demand. Through the combination of cloud computing and mobile technology, the data of mobile measurement terminal can be transferred to the cloud platform of the system, and the function of real-time monitoring driver user side by mobile customer terminal can be realized by enterprise users or carrier users. The system combines the Hadoop distributed processing technology in the cloud computing architecture, through the Hadoop's big data processing ability, enables the enterprise user to mine the effective information in the massive localization data, and improves the whole data processing speed and the ability of the system.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495
本文编号：2198803
[Abstract]:With the increasing number of mobile phone users in China, the development of mobile applications is rising. Mobile applications also bring a more convenient way of life and office for the vast majority of Internet users and even some enterprises because of its powerful function and convenience. In the form of a general trend of mobile applications, some large production enterprises and related carriers who have the requirement of monitoring the transportation process of transport vehicles have focused their attention on the function of mobile monitoring. How to realize the problem that enterprise users and logistics carriers can monitor and manage transport drivers through their own mobile phones is the problem studied in this system. The background of this system is the real time monitoring platform project of logistics in Taigang. In this project, the main work of the author is to put forward the hybrid positioning mode of mobile GPS Cell ID network positioning. The construction of Hadoop data processing architecture model and the load test of the system in data processing layer. Most enterprises have looser cooperative relationship with transport service owners and cargo drivers, and it is difficult for enterprises to take the initiative to locate the demand of transport vehicles in real time. If the enterprises themselves set up a wide range of monitoring systems, they need to invest a great deal of money. The vehicle remote real-time monitoring and management system based on cloud computing not only enables enterprises to realize the process of actively supervising the transportation of goods without huge investment, but also combines mobile technology. It also enables the enterprise users to monitor the driver's position in the enterprise mobile terminal in real time. This paper mainly combines the advantages and disadvantages of various positioning functions of the mobile terminal, effectively integrates the various positioning technologies, takes advantage of the advantages and circumvent the weaknesses, realizes the full space positioning, and uploads the positioning data to the background in real time. As an enterprise user or carrier user positioning basis. Based on the three-tier service architecture of cloud computing, the system realizes the construction of three-tier architecture and becomes a cloud platform for real-time monitoring of vehicle location, which enables different users to purchase or lease the functions of the system on demand. Through the combination of cloud computing and mobile technology, the data of mobile measurement terminal can be transferred to the cloud platform of the system, and the function of real-time monitoring driver user side by mobile customer terminal can be realized by enterprise users or carrier users. The system combines the Hadoop distributed processing technology in the cloud computing architecture, through the Hadoop's big data processing ability, enables the enterprise user to mine the effective information in the massive localization data, and improves the whole data processing speed and the ability of the system.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495
【参考文献】
相关期刊论文 前10条
1 董敬欣,吴建平 ,郭继孚;基于GPS/GIS数据的路网层次划分研究——北京的实践[J];城市规划;2005年10期
2 王鑫;吕达仁;;GPS无线电掩星技术反演大气参数方法对比[J];地球物理学报;2007年02期
3 张尚礼;姚峥;;移动电子政务平台建设研究[J];电子政务;2012年07期
4 杨飞;;基于手机定位的交通OD数据获取技术[J];系统工程;2007年01期
5 王国锋;张蕴灵;宋鹏飞;;基于LBS技术的高速公路出行服务解决方案研究[J];公路;2012年05期
6 吴绍忠;李靖;;基于云计算架构的公安情报信息平台建设研究[J];中国人民公安大学学报(自然科学版);2010年03期
7 燕杰;樊勇兵;金华敏;唐宏;;电信运营商的云计算资源池部署方法概述[J];电信科学;2011年10期
8 崔杰;李陶深;兰红星;;基于Hadoop的海量数据存储平台设计与开发[J];计算机研究与发展;2012年S1期
9 朴艳;袁超伟;;无线定位的实现及应用[J];通信世界;2007年40期
10 杨春伟;;基于云计算的软件集中部署发布平台研究[J];科技信息;2013年20期
相关博士学位论文 前1条
1 郭丽梅;基于蜂窝无线定位的交通信息采集技术研究[D];中南大学;2010年
，本文编号：2198803
本文链接：https://www.wllwen.com/kejilunwen/jiaotonggongchenglunwen/2198803.html
