多级格网框架下多源矢量空间数据动态存取优化方法  

Dynamic Access Optimization Method of Multi Vector Spatial Data Structure Based on Multilevel Grid Framework

作　　者：常春雷 刘信 马天福 杨大伟 CHANG Chun-lei;LIU Xin;MA Tian-fu;YANG Da-wei(State Grid Xinjiang Electric Power Company,Urumqi 830001,China;College of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]国网新疆电力公司,乌鲁木齐830001 [2]北京交通大学计算机与信息技术学院,北京100044

出　　处：《科学技术与工程》2018年第8期85-90,共6页Science Technology and Engineering

摘　　要：针对多源矢量空间数据动态存取方法通用性低、内存占用率高以及效率低等问题,提出一种多级格网框架下多源矢量空间数据动态存取优化方法。通过平均失效间隔、平均无故障时间以及平均修复时间对多级格网框架下存取系统的可靠性进行评价,建立BLOB存取可靠性概率模型;在此基础上利用关系数据库以及相关编程接口优化多源矢量空间数据存取环境,提升多源矢量空间数据的成功存取概率,实现对多级格网框架下多源矢量空间数据动态存取的优化。实验结果表明,所提方法具有效率高、内存占用率低以及系统开销少的优势。Aiming at the problems of low availability,high memory occupation and low efficiency of multi-source vector spatial data dynamic access method,a dynamic access optimization method of multi-source vector spatial data based on multilevel grid framework is proposed.The average time between failure,MTBF and MTTR to evaluate the reliability of the multi grid access system under the framework of the establishment of BLOB access reliability probability model;based on the relational database and related programming interface optimization of multi source vector data access environment,the success probability of multi access vector data were improved,the optimization of multistage under the framework of multi-source spatial data grid dynamic access was realized.Experimental results show that the proposed method has the advantages of high efficiency,low memory footprint and low system overhead.

关 键 词：多级格网框架 多源矢量 空间数据 动态存取 结构优化 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论]