基于UML技术的空间基础数据库设计与实现
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摘要
设计合理的空间基础数据库不仅能提高整个空间数据操作时的性能和效率,而且还可以减少后期的维护修复工作,使整个空间基础数据运行的更加快捷,需要对空间基础数据建立数据库;当前的空间基础数据库设计方法采用ArcSDE数据引擎对空间基础数据进行不断地更新调整,再利用多源空间数据格式转换的技术对空间基础数据库进行设计,存在空间基础数据运行时速度缓慢,计算精度低的问题;为此,提出了一种基于UML技术的空间基础数据库设计方法;该方法首先在空间基础数据库设计中建立空间基础数据索引结构,利用R-树族构建空间基础数据索引树,依据空间基础数据索引树,扫描索引空间基础数据,过滤掉不满足查询条件的空间基础数据对象,使空间数据查询结果可以在额定时间内获得,然后采用空间基础数据点、数据线、以及由数据线组成的区域、一组区域、空间基础数据网络的详细存储方式对空间基础数据进行存储,利用MongoDB驱动程序对矢量空间数据进行存储存储,最后通过对空间基础数据库索引、查询、存储等设计实现了空间基础数据库的建立;仿真实验结果证明,所提方法提高了空间基础数据的建库速度,减少了数据运行的时间,提升了空间基础数据的利用率。
Design and reasonable basis of the database can not only improve performance and efficiency of the whole spatial data operation,but also can reduce the late maintenance repair work,make whole space based data run faster,need to create a database of space based data.The current spatial database design method using ArcSDE data engine to adjust constantly updated space based data reuse technology of multi-source spatial data format conversion based on space database design,there is space based data run-time speed is slow,the problem of low precision.To this end,this paper proposes a space based database design method based on UML technology.This method first based on space database design based spatial data index structure,using R-based data index tree tree building space,on the basis of space based data index tree,scanning index space based data,filter based data object does not satisfy the query conditions of space,make the space data query result can be gained in the rated time and then USES the data points in space,data line,and area of cable,a set of detailed area,space based data network based data storage model of space for storage,use mongo drivers to store of vector spatial data,finally through to the space foundation database index,query,storage design has realized the space such as the establishment of the underlying database.The simulation experimental results show that the proposed method improves the speed of space of the construction of basic data,reduced the data of the running time,improve the utilization of space based data.
Design and reasonable basis of the database can not only improve performance and efficiency of the whole spatial data operation,but also can reduce the late maintenance repair work,make whole space based data run faster,need to create a database of space based data.The current spatial database design method using ArcSDE data engine to adjust constantly updated space based data reuse technology of multi-source spatial data format conversion based on space database design,there is space based data run-time speed is slow,the problem of low precision.To this end,this paper proposes a space based database design method based on UML technology.This method first based on space database design based spatial data index structure,using R-based data index tree tree building space,on the basis of space based data index tree,scanning index space based data,filter based data object does not satisfy the query conditions of space,make the space data query result can be gained in the rated time and then USES the data points in space,data line,and area of cable,a set of detailed area,space based data network based data storage model of space for storage,use mongo drivers to store of vector spatial data,finally through to the space foundation database index,query,storage design has realized the space such as the establishment of the underlying database.The simulation experimental results show that the proposed method improves the speed of space of the construction of basic data,reduced the data of the running time,improve the utilization of space based data.
引文
[1]李运兴,马骏.基于Hadoop高性能查询的空间数据库设计与实现[J].中原工学院学报,2014,25(4):58-63.
[2]王琰,邓永刚.基于MapGIS的区域水文地质图空间数据库设计与实现[J].测绘技术装备,2016,18(1):62-63.
[3]马海燕,李文欣.城市基础地理空间数据库设计与实现研究[J].科技资讯,2015,13(1):24-25.
[4]陈达伦,陈荣国,谢炯.基于MPP架构的并行空间数据库原型系统的设计与实现[J].地球信息科学学报,2016,18(2):151-159.
[5]刘一明,胡卓玮,赵文吉,等.基于Geodatabase模型的扶贫开发空间数据库的设计与实现[J].工程勘察,2014,42(7):44-49.
[6]史华林,何飞,王云全,等.基于ArcSDE和SQL Sever城市规划空间数据库的设计与实现[J].江西科学,2014,32(3):357-360.
[7]魏振华,刘志锋,李金萍,等.基于要素扩展管理的海量地质空间数据存储模型的设计与实现[J].计算机应用与软件,2014,31(7):36-39.
[8]杜久升,王莉,侯争,等.露天矿卡车调度系统数据库设计与实现[J].金属矿山,2015,44(9):105-111.
[9]吴琰,唐小明.基于HBase的分布式空间数据库技术[J].吉林大学学报:理学版,2016,14(6):1355-1360.
[10]陈辉,赵晓华.学生上机实训考核系统中数据库设计与实现[J].电子设计工程,2016,24(18):4-6.
[2]王琰,邓永刚.基于MapGIS的区域水文地质图空间数据库设计与实现[J].测绘技术装备,2016,18(1):62-63.
[3]马海燕,李文欣.城市基础地理空间数据库设计与实现研究[J].科技资讯,2015,13(1):24-25.
[4]陈达伦,陈荣国,谢炯.基于MPP架构的并行空间数据库原型系统的设计与实现[J].地球信息科学学报,2016,18(2):151-159.
[5]刘一明,胡卓玮,赵文吉,等.基于Geodatabase模型的扶贫开发空间数据库的设计与实现[J].工程勘察,2014,42(7):44-49.
[6]史华林,何飞,王云全,等.基于ArcSDE和SQL Sever城市规划空间数据库的设计与实现[J].江西科学,2014,32(3):357-360.
[7]魏振华,刘志锋,李金萍,等.基于要素扩展管理的海量地质空间数据存储模型的设计与实现[J].计算机应用与软件,2014,31(7):36-39.
[8]杜久升,王莉,侯争,等.露天矿卡车调度系统数据库设计与实现[J].金属矿山,2015,44(9):105-111.
[9]吴琰,唐小明.基于HBase的分布式空间数据库技术[J].吉林大学学报:理学版,2016,14(6):1355-1360.
[10]陈辉,赵晓华.学生上机实训考核系统中数据库设计与实现[J].电子设计工程,2016,24(18):4-6.