基于基态距优化的改进基态修正时空数据模型研究

The improved base state with amendments based on optimized base state intervals

传统的基态修正时空数据模型对历史数据的存储和检索效率较低,本文以对象变化临界指数确定基态距的方法,对传统的基态修正模型进行改进,提高了历史数据的存储和检索效率,并针对改进后的基态修正模型分析了时空数据的检索流程,实现了多种方案的时空数据检索,通过在广州市公共交通规划管理地理信息系统中的应用,对模型的实用性进行了验证。

The paper aimed at the lower efficiency of historical data storing and searching of spatio-temporal data model based on traditional base state amendments.A method of base state intervals identified by critical index of objects changing was proposed in this paper to improve the traditional base state model,and to enhance the efficiency of historical data storing and searching.The paper put forward the improved base state amendments model to analyzing spatio-temporal data searching,and was succeeded in data searching with a variety of scenarios.The paper also illustrated the practicability of the improved model by implemented it in the Guangzhou Public Transportation Planning and Management Geographic Information System.