基于多粒度时空对象数据模型的高速公路智能监控系统建模

多粒度时空对象数据模型更注重现实世界复杂、动态现象的表达,能更好地应用于智能设施管理和智能决策支持系统。该文基于多粒度时空对象数据模型及其建模理论,对高速公路智能监控系统中实体对象的特征和关系进行概念建模,设计数据存储方案,开发高速公路智能监控多粒度时空对象建模原型系统,并验证数据模型的实用性。结果表明:多粒度时空对象数据模型可以很好地支撑高速公路智能监控系统中动态智能实体及实体间复杂关系的表达、管理和分析,实现对路情的智能分析与决策。

Modeling of Intelligent Expressway Monitoring System Based on Multi-granularity Spatio-temporal Object Data Model

As a data model of pan-spatial information system,multi-granularity spatio-temporal object data model pays more attention to the expression of complex and dynamic phenomena in the real world.Intelligent expressway monitoring system is an important means of intelligent expressway management.Most of the entities in the system have the characteristics of multi-dimensional dynamic change,and some entities have cognitive and behavioral abilities.So the data model can meet the modeling requirements of the intelligent expressway monitoring system and can be applied to intelligent facility management and intelligent decision support system.This paper analyzed the entities and their characteristics in expressway monitoring system,and abstracted the entities to multi-granularity spatio-temporal objects.Based on the modeling theory of multi-granularity spatio-temporal object data model,the paper made a conceptual modeling of the characteristics and relationships of entities in intelligent expressway monitoring system,and designed storage scheme of spatial-temporal objects.The prototype system of intelligent expressway monitoring system was developed to verify the availability of the data model.The results show that multi-granularity spatio-temporal object data model can express,manage and analyze the dynamic and intelligent entities and the complex relations among entities in the intelligent expressway monitoring system,and support the intelligent analysis and decision-making of road conditions.