动态目标时空数据高效管理与分析研究

Research on Analysis and Management of Dynamic Target Spatio-temporal Data

动态目标具有空间性、时间性、多维性、海量性、复杂性和不确定性的特点,而传统的DBMS已不能有效地对其进行位置建模、语义表达、索引。首先,分析了动态目标数据建模、动态目标多时态性、动态目标多维性、动态目标分布性等4个方面存在的问题。然后,提出了一个对动态目标时空数据进行建模、管理与分析的总体框架,并对框架各关键技术进行了深入的研究。该框架采用三层体系结构,使得系统有较高的灵活性和扩展性。最后,基于该框架,给出了一个原型系统,并对其主要构成平台进行了分析与阐述。

Dynamic target has a lot of characteristics such as spatiality,timeliness,multidimensionality,magnanimity,complexity and uncertainty,but the traditional DBMS can＇t provide an effective way for its position modeling,semantic expression and index.In order to solve this problem,this paper presented a general framework to model,analyzed and managed the dynamic target spatio-temporal data by analyzing the dynamic target.This framework uses three-layer structure,insuring the system with high flexibility and expansibility.Finally,a prototype system based on the framework was given,and the main componented of platform were analyzed and expounded.