基于事件的疫情应急时空数据模型

A study on event-based spatio-temporal data model for epidemic emergency response

针对疫情应急系统在时空数据逻辑性方面的高要求及已有时空数据模型在该方面的不足,本文以事件产生为触发、事件发展为驱动,进行面向对象的时空数据建模研究:建立了城市疫情应急相关时空数据的概念模型、静态结构模型和时态行为模型;并设计Geodatabase实例和组件模型,实现对时空数据模型的面向对象的组织、管理和操作。通过在眉山市疫情监测应急系统中的成功应用表明,基于事件对多关联复杂空间对象群进行的联动操作,实现了时空数据的逻辑耦合。

In view of the high requirement of epidemic emergency response system for logical organization of spatio-temporal data and the lack of such in existing study, this thesis presented a study on object-oriented spatio-temporal data modeling, triggered by event happening and propelled by event processing. Conceptual model, static structure model and temporal behavior model referring to epidemic emergency response were built. Meanwhile, by design of Gcodatabase instances and component models, the spatio-temporal data models were well organized and managed. As the successful application of such models in Meishan Epidemic Emergency Response System, it was approved that the event-based modeling method proposed above could realize the logic coupling of multi-related spatial objects operation in TGIS and provide references for suchlike spatio-temporal data modeling design and utilization.