移动射频识别与车载GPS组合定位算法研究

发布时间：2018-01-15 12:26

本文关键词：移动射频识别与车载GPS组合定位算法研究　出处：《北京建筑大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着智慧城市的发展，国内多地都在进行探索和发展物联网、云计算与地理信息系统的在实际中的应用。其中北京市西城区在智慧城市的建设道路上已经卓有成效，利用先进的技术手段和设施，为市民提供了更好的生活环境和生活质量。目前西城区有大量的早餐车和报刊亭等城市服务类部件，经常有业主在未经允许的情况下更换经营地点和经营范围，由于覆盖整个城区，监管面积较大，需要大量的监管人员来保持其正常的经营秩序。所以现在急需一种快速定位技术能够自动识别和定位早餐车和报刊亭的位置，以判断其是否违规经营。像早餐车和报刊亭等服务类城市设施都分布于道路两侧，根据其特点，本文基于移动道路测量车和RFID测距等现有的技术手段，提出一种基于车载平台的GPS和RFID混合定位的算法。该算法的主要思想是通过移动车载平台，搭载GPS定位接收机和RFID测距设备，通过在道路上行驶的过程中，实时定位车的位置和在该位置所测得的车载平台到待测对象的距离。通过模拟多个基站的效果实现对早餐车和报刊亭的定位。本文将该算法以模块的方式集成到的现有的街景影像管理系统中，以MicrosoftVisual Studio2008作为开发平台，以C#语言作为开发语言来实现，并通过大量的实验数据验证了该算法的可行性，，能够在城市部件的定位管理中发挥作用，为智慧城市的发展和探索提供了技术支持，具有深远的意义。
[Abstract]:With the development of intelligent cities, many places in China are exploring and developing the Internet of things. The application of cloud computing and geographic information system in practice. Among them, Xicheng District of Beijing has been effective in the construction of intelligent city, using advanced technical means and facilities. It provides a better living environment and quality of life for citizens. At present, there are a large number of urban service parts such as breakfast cars and newsstands in Xicheng District, and there are often owners who change their business locations and business scope without permission. Due to the coverage of the entire urban area, the regulatory area is larger. A large number of regulators are needed to maintain normal business order, so there is an urgent need for a rapid positioning technology that can automatically identify and locate breakfast cars and newsstands to determine whether they are operating illegally. Services such as breakfast cars and newsstands are located on both sides of the road. According to their characteristics, this paper based on the mobile road measuring vehicle and RFID ranging and other existing technical means. A hybrid algorithm of GPS and RFID based on vehicle platform is proposed. The main idea of this algorithm is to carry GPS receiver and RFID ranging equipment through mobile vehicle platform. The location of the breakfast car and the newsstand is realized by simulating the effect of multiple base stations through the location of the vehicle and the distance between the vehicle platform and the object to be tested in the course of driving on the road. In this paper, the algorithm is integrated into the existing streetscape image management system in the way of module, and MicrosoftVisual Studio2008 is used as the development platform. Using C # language as the development language, and through a large number of experimental data to verify the feasibility of the algorithm, can play a role in the location management of urban components. It provides technical support for the development and exploration of intelligent city and has profound significance.
【学位授予单位】：北京建筑大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.44;P228.4

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