基于道路格网的城市三维数据增量更新技术研究
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摘要
传统空间数据库全覆盖式更新方法存在数据冗余及更新速率慢等问题,为了能够更好地支持海量城市三维数据的组织和更新工作,本文提出了一种基于道路格网的城市三维数据增量更新方法。利用城市道路格网分组、分块的特性进行城市三维数据的空间划分,建立城市格网模型,以不规则格网的形式进行城市三维数据的组织。利用城市格网模型划分的城市地理块具有不同功能属性的特点,以地理块的形式进行"时间+空间"的增量数据组织。可对城市三维数据进行时间方向和空间方向的历史回溯,改变了传统增量更新的查询管理方式。最后本文基于多基态修正模型设计了增量数据存储模型并给出了更新流程。以某市为例,开发了城市三维数据库增量更新原型系统,实现了城市三维数据的增量更新。
The full coverage updating method of traditional spatial database has the problems of data redundancy and slow update rate. In order to better support the organization and update of massive urban 3D data, this paper proposes a method of urban 3D data updating based on road grid. The spatial division of urban 3D data is carried out by using the characteristics of urban grid grouping and block separation, and a urban grid model is established to organize the urban 3D data in the form of irregular grids. The urban geographical blocks divided by the urban grid model have the characteristics of different functional attributes, and the "time + space" incremental data organization is carried out in the form of geographical blocks. The time direction and spatial direction of urban 3D data can be tracked, and the traditional query management mode of incremental updating has been changed. Finally, based on the multiple-base state correction model, an incremental data storage model is designed and the updating process is given. Taking a city as an example, a prototype system of urban 3D database incremental updating is developed, and the incremental updating function of urban 3D data is realized.
The full coverage updating method of traditional spatial database has the problems of data redundancy and slow update rate. In order to better support the organization and update of massive urban 3D data, this paper proposes a method of urban 3D data updating based on road grid. The spatial division of urban 3D data is carried out by using the characteristics of urban grid grouping and block separation, and a urban grid model is established to organize the urban 3D data in the form of irregular grids. The urban geographical blocks divided by the urban grid model have the characteristics of different functional attributes, and the "time + space" incremental data organization is carried out in the form of geographical blocks. The time direction and spatial direction of urban 3D data can be tracked, and the traditional query management mode of incremental updating has been changed. Finally, based on the multiple-base state correction model, an incremental data storage model is designed and the updating process is given. Taking a city as an example, a prototype system of urban 3D database incremental updating is developed, and the incremental updating function of urban 3D data is realized.
引文
[1]王伟,应申,李程鹏,等.城镇化建设的地理数据组块式增量更新[J].武汉大学学报:信息科学版,2016,41(11):1 537-1 543.
[2]李恒.美国区划发展历史研究[D].北京:清华大学,2007.
[3]蔡军,刘平,张奕.城市道路分级与设置条件研究[J].城市交通,2015(4):44-55.
[4]陈超益.基于图幅的城市三维模型(3DCM)数据管理模式研究[D].杭州:浙江大学,2012.
[5]杨耀东.面向文档的空间数据组织[D].北京建筑大学,2013.
[6]霍亮,田军,靖常峰.基于基态修正模型的矢量数据增量更新机制研究[J].测绘通报,2015(5):46-49.
[7]冯彬雪,张菊清.城市变化多基态修正模型三维时空表达[J].测绘科学,2016,41(5):83-86.
[8]林娜,王斌.空间数据库增量式更新机制的研究[J].测绘科学,2008,33(3):198-200.
[9]Lin Y,Liu W Z,Chen J.Modeling Spatial Database Incremental Updating Based on Base State with Amendments[J].Science of Surveying&Mapping,2012,1(1):1 173-1 179.
[10]Wang Y,Dong N,Zhou G.Incremental Updating Algorithm Based on Partial Support Tree for Mining Association Rules[C].Iita International Conference on Control,Automation and Systems Engineering.IEEE,2009:17-20
[2]李恒.美国区划发展历史研究[D].北京:清华大学,2007.
[3]蔡军,刘平,张奕.城市道路分级与设置条件研究[J].城市交通,2015(4):44-55.
[4]陈超益.基于图幅的城市三维模型(3DCM)数据管理模式研究[D].杭州:浙江大学,2012.
[5]杨耀东.面向文档的空间数据组织[D].北京建筑大学,2013.
[6]霍亮,田军,靖常峰.基于基态修正模型的矢量数据增量更新机制研究[J].测绘通报,2015(5):46-49.
[7]冯彬雪,张菊清.城市变化多基态修正模型三维时空表达[J].测绘科学,2016,41(5):83-86.
[8]林娜,王斌.空间数据库增量式更新机制的研究[J].测绘科学,2008,33(3):198-200.
[9]Lin Y,Liu W Z,Chen J.Modeling Spatial Database Incremental Updating Based on Base State with Amendments[J].Science of Surveying&Mapping,2012,1(1):1 173-1 179.
[10]Wang Y,Dong N,Zhou G.Incremental Updating Algorithm Based on Partial Support Tree for Mining Association Rules[C].Iita International Conference on Control,Automation and Systems Engineering.IEEE,2009:17-20