Research On Dynamic Scene Construction Method Based On Multi-granularity Spatiotemporal Objects

As the methods of analysis,presentation and scope of application of spatial data in GIS continue to expand and deepen,the existing data organization and management methods have been unable to describe the real world effectively.The concept of Pan Spatial Information System(PSIS)was first introduced in 2015.With the continuous development of spatial information systems in all aspects,multi-grained spatio-temporal objects are playing an increasingly important role in dynamic scene construction,granularity division and collaborative analysis.However,there are still problems such as unclear hierarchical division of multi-grained spatio-temporal objects,imperfect data sharing system and insufficient dynamic description scheme of multi-granularity spatio-temporal objects.In view of this,in order to reasonably construct dynamic scenes of multi-grained spatiotemporal objects,to accurately describe multi-granularity spatio-temporal objects,and to improve the dynamic description of multi-granularity spatio-temporal objects in geographical scenes.This paper takes multi-granularity spatio-temporal objects as the object of study and focuses on their granularity classification,dynamic characterization,collaborative analysis and representation strategies.It explores how the granularity and hierarchy of geographical entities can be reasonably and effectively delineated in today’s big data context,and how to ensure rapid and timely responses between users operating multi-granular spatio-temporal objects in a collaborative environment where multiple collaborators are involved in the work.The main research and results of this paper are summarised below:(1)Research on granularity partitioning method of geographic entity based on quotient space theory.In this paper,we propose a method for dividing geographic entities at different levels of granularity to address the problem that geographic entities are difficult to organize and manage effectively due to the huge amount of geographic entity data and the different granularity and levels of division of different scenarios in different industries and sectors.By constructing a granularity model for geographic entities in terms of text similarity,literal similarity and semantic distance similarity and introducing quotient space theory for granularity synthesis,we can effectively granularize geographic entities and achieve hierarchical optimization of objects in the scene.(2)Design of a multi-granularity spatio-temporal object collaborative analysis method for event conflicts.In this paper,we first describe the properties and dynamic characteristics of multi-granularity spatio-temporal objects,and design a Role-operation priority rule to deal with the event conflicts generated by multi-granularity spatio-temporal objects in multi-cooperative operations,in view of the interaction characteristics of each object in collaborative work.The collaborative interaction requirements of multi-granularity spatio-temporal objects are met,and enables accurate simulation and dynamic representation of multi-granularity spatio-temporal objects in scenes with different collaborators.(3)Construction of dynamic scenes with multi-granularity spatio-temporal objects.Based on the above research results on multi-grained spatio-temporal objects,the method is experimentally validated in a dynamic scenario of multi-grained spatio-temporal objects.A multi-grain spatio-temporal object dynamic visualization platform based on emergency joint rescue simulation experiments,through experiments to prove the scientific feasibility of the thesis approach.