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The Construction And Application Of Multi-granularity Spatio-temporal Data Model For Beidou

Posted on:2019-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2370330599456355Subject:Surveying the science and technology
Abstract/Summary:
As the beidou satellite navigation system,geographical information system,the rapid development of big data technology,beidou spatio-temporal data are increasingly applied to the intelligent city,Marine fisheries,transportation and other related industries,and constantly expand the application areas of it.This paper aimed at the present situation of beidou spatio-temporal data management using large amount of data storage and analysis of the problem,it is difficult to build the beidou multi-granularity,spatiotemporal data model and algorithms of data mining research,use DBSCAN clustering algorithm based on beidou spatio-temporal objects stay points analysis and trajectory clustering analysis based on Euclidean distance,and the number of stops,trajectory statistical beidou spatio-temporal objects,short message transmitting frequency,the active time and relevant attribute information,and use case model and clustering algorithm for the inspection.Based on this,this paper mainly does the following work:(1)Based on the research background,present situation and the significance of this article,the beidou spatio-temporal data compared with big data,summarizes the beidou spatio-temporal data management and application of key technologies,has been clear about the importance of beidou spatio-temporal data applications.(2)Combined with the existing spatio-temporal data model,analyzing the characteristic of the beidou spatio-temporal data,build beidou multi-granularity spatiotemporal data model,the beidou user terminal encapsulated into beidou spatio-temporal objects,and carries on beidou spatio-temporal data organization and storage.(3)Based on the space-time characteristics of beidou spatio-temporal data,face the beidou positioning data,use stops based on DBSCAN clustering analysis and trajectory clustering analysis based on Euclidean distance the statistical analysis of the attributes of the object space and time from the big dipper,implementation of beidou positioning data mining analysis.(4)Spatio-temporal data model based on this design and beidou spatio-temporal data mining analysis,design and realization of beidou multi-granularity spatio-temporal data management system,by analyzing the stay points trajectory clustering analysis,properties,and the statistic analysis,shows the big dipper spatio-temporal data in the planning of the fishery supervision,traffic application value.
Keywords/Search Tags:BeiDou, multi-granularity, Beidou time and space objects, Space-time Data, Spatio-temporal Data Model, Clustering Algorithm
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