摘要
全空间信息系统将现实世界中的实体抽象为多粒度时空对象,并对其进行表达与分析,较传统地理信息系统来说更符合人类的认知。对高铁网络对象的基本特点及现有交通网络建模方法进行了分析,可知目前现有的建模方法难以支持具有动态性、关联性及多粒度特性的高铁网络对象的表达。依据多粒度时空对象建模思想,提出了一种适合高铁交通数据的全面表达与操作的建模方法;并对高铁网络对象化建模方法的优势及建模过程进行了探讨,设计了概念模型和逻辑模型;通过实例对提出的建模方法进行了验证,并采用可视化表达的方法检验高铁网络时空对象数据的有效性。实验结果表明,基于时空对象的建模方法能够较好描述高铁时空实体多维动态特征,能为后续高铁网络时空查询、分析提供支持。
In pan-spatial information system,the entities in the real world are abstracted into multi-granularity spatio-temporal objects to be expressed and analyzed.Compared with traditional geographic information systems,pan-spatial information system is more in line with human cognition.The basic characteristics of high-speed rail network objects and the existing traffic network modeling methods are analyzed.It can be seen that the current existing modeling methods can hardly support the expression of high-speed rail network objects with dynamic,relevant and multi-granularity characteristics.Based on the idea of multi-granularity spatio-temporal object modeling,a modeling method suitable for the comprehensive expression and operation of high-speed rail traffic data is proposed in the paper,and the advantages and modeling process of the high-speed rail network object modeling method are discussed.Then the conceptual model and logical model are designed.Finally,the proposed modeling method is verified through instance,and confirmed the validity of high-speed rail network spatio-temporal object data by visual expression.Experimental results show that the modeling method based on spatio-temporal objects can describe the multi-dimensional dynamic characteristics of high-speed rail spatio-temporal entities better and provide support for the time-space query and analysis of high-speed rail network.
作者
刘慧
崔虎平
韦原原
王明明
曾梦熊
LIU Hui;CUI Huping;WEI Yuanyuan;WANG Mingming;ZENG Mengxiong(Information Engineering University, Zhengzhou 450001, China)
出处
《测绘科学技术学报》
CSCD
北大核心
2021年第1期104-110,共7页
Journal of Geomatics Science and Technology
基金
国家重点研发计划项目(2016YFB0502300)。
关键词
全空间信息系统
时空对象
高铁网络
数据模型设计
对象化建模
pan-spatial information system
spatio-temporal object
high-speed rail network
data model design
object modeling