电动汽车WebGIS系统设计开发与地图匹配数据插补研究
发布时间：2018-08-13 08:21
【摘要】：随着能源问题与环境问题的逐渐显现,电动汽车因为污染小的优点成为各国研究热点,为了保证电动汽车的可靠运行,需要对电动汽车运行进行监控,所以电动汽车监控很有必要。电动汽车监控主要分为电池监控与GPS监控,本文开发的GIS系统是对GPS数据的监控。 对GIS系统的总体功能与子系统进行设计,在设计阶段采用物理结构图对系统物理结构进行分析,并在此基础上对系统功能模块进行划分,之后通过活动图、数据流图等分析方法确定各个子系统的设计方案,并确定各个子系统的开发技术,在此基础上,对系统进行开发实现。 在对系统数据分析过程中,发现GPS数据有数据缺失的情况,因此文中对缺失数据插补进行研究。首先将缺失数据进行分类,分为单个点缺失与连续点缺失,在此基础上针对两种类型提出不同的插补方法,单点缺失中重点研究了组均值插补,连续点缺失重点研究多点三次样条插值方法,得出插补结果后通过均方差比较各种方法的插值效果。均方差定量分析表明,上述方法可以较好的达到数据插补的需要。 在系统开发中会出现GPS位置点发生偏移的情况,针对这种情况,文中研究了地图匹配方法,引入道路匹配权值的概念,将相似性系数、靠近性系数、交叉点相似性系数作为匹配权值的计算依据。在此基础上,研究车辆从启动到运行过程中的地图匹配方法,最终将匹配方法在系统中模拟实验,实验表明文中提出的地图匹配方法可以准确判断不同路段情况下的道路匹配。
[Abstract]:With the gradual emergence of energy and environmental problems, electric vehicles, because of the advantages of small pollution, have become the focus of research all over the world. In order to ensure the reliable operation of electric vehicles, it is necessary to monitor the operation of electric vehicles. So electric vehicle monitoring is necessary. Electric vehicle monitoring is mainly divided into battery monitoring and GPS monitoring. The GIS system developed in this paper is the monitoring of GPS data. The overall function and subsystem of GIS system are designed, the physical structure of the system is analyzed by physical structure diagram in the design stage, and then the functional modules of the system are divided, and then the activity diagram is adopted. Data flow diagram and other analysis methods determine the design scheme of each subsystem, and determine the development technology of each subsystem. On this basis, the system is developed and implemented. In the process of analyzing the system data, the missing data is found in the GPS data, so the missing data interpolation is studied in this paper. Firstly, the missing data are classified into single point deletion and continuous point deletion. On this basis, different interpolation methods are proposed for the two types. In the single point deletion, the group mean interpolation is mainly studied. The multi-point cubic spline interpolation method is studied in the absence of continuous points. The interpolation results are obtained and the interpolation results are compared by the mean square error (RMS). The quantitative analysis of mean square error shows that the above method can meet the need of data interpolation. In this paper, the map matching method is studied, the concept of road matching weight value is introduced, the similarity coefficient, the proximity coefficient, the similarity coefficient and the similarity coefficient are introduced. The similarity coefficient of intersection points is used as the basis for the calculation of matching weights. On this basis, the paper studies the map matching method in the process of vehicle starting to running, and finally simulates the matching method in the system. The experiment shows that the map matching method proposed in this paper can accurately judge the road matching in different road sections.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U469.72;P208
[Abstract]:With the gradual emergence of energy and environmental problems, electric vehicles, because of the advantages of small pollution, have become the focus of research all over the world. In order to ensure the reliable operation of electric vehicles, it is necessary to monitor the operation of electric vehicles. So electric vehicle monitoring is necessary. Electric vehicle monitoring is mainly divided into battery monitoring and GPS monitoring. The GIS system developed in this paper is the monitoring of GPS data. The overall function and subsystem of GIS system are designed, the physical structure of the system is analyzed by physical structure diagram in the design stage, and then the functional modules of the system are divided, and then the activity diagram is adopted. Data flow diagram and other analysis methods determine the design scheme of each subsystem, and determine the development technology of each subsystem. On this basis, the system is developed and implemented. In the process of analyzing the system data, the missing data is found in the GPS data, so the missing data interpolation is studied in this paper. Firstly, the missing data are classified into single point deletion and continuous point deletion. On this basis, different interpolation methods are proposed for the two types. In the single point deletion, the group mean interpolation is mainly studied. The multi-point cubic spline interpolation method is studied in the absence of continuous points. The interpolation results are obtained and the interpolation results are compared by the mean square error (RMS). The quantitative analysis of mean square error shows that the above method can meet the need of data interpolation. In this paper, the map matching method is studied, the concept of road matching weight value is introduced, the similarity coefficient, the proximity coefficient, the similarity coefficient and the similarity coefficient are introduced. The similarity coefficient of intersection points is used as the basis for the calculation of matching weights. On this basis, the paper studies the map matching method in the process of vehicle starting to running, and finally simulates the matching method in the system. The experiment shows that the map matching method proposed in this paper can accurately judge the road matching in different road sections.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U469.72;P208
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