Spatio-temporal data integrated management method based on chain storage

Abstract

The invention discloses a spatio-temporal data integrated management method based on chain storage. The method comprises the following steps: analyzing original data, creating a chain type storage structure comprising four fields of GUID, Time, OldGUID and Status, establishing a chain type relation among spatio-temporal data elements of different time versions by adopting the chain type storage structure, and forming a space-time data chain; selecting a layer to be updated, setting an updating range, and updating spatio-temporal data elements and current states and global unique identifiers thereof to complete element updating and spatio-temporal data chain updating in the spatio-temporal data layer; and carrying out integrated management on the spatio-temporal data by utilizing the updated spatio-temporal data chain. The method has the remarkable effects that the spatio-temporal data chain is formed based on chain storage, only the updated data needs to be stored when space-time datamanagement is carried out, redundancy caused by repeated storage of data of different versions is remarkably reduced, and the efficiency of element space-time tracing query is improved.

Description

technical field [0001] The invention relates to the technical field of geospatial information data processing, in particular to a chain storage-based spatio-temporal data integrated management method. Background technique [0002] The management of spatio-temporal data has always been a difficult problem in the field of geospatial information applications. At this stage, mainstream GIS platforms such as ArcGIS and Hypermap are mainly used to establish multiple time versions to manage spatio-temporal data of different time dimensions. This management method requires storage for each version. The full amount of data in the version causes a large amount of data redundancy. At the same time, the data update efficiency is low and the update cycle is long. Moreover, because the data is updated simply after editing the data, there is no relationship between the updated elements and the original elements. Realize element-level spatio-temporal retrospective query. [0003] With the ...

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Problems solved by technology

[0002] The management of spatio-temporal data has always been a difficult problem in the field of geospatial information applications. At this stage, mainstream GIS platforms such as ArcGIS and Hypermap are mainly used to establish multiple time versions to manage spatio-temporal data of different time dimensions. This management method requires storage for each version. The full amount of data in the version causes a large amount of data redundancy. At the same time, the data update efficiency is low and the update cycle is long. Moreover, because the data is updated simply after editing the data, there is no relationship between the updated elements and the original elements. Realize element-level spatio-temporal retrospective query

[0003] With the implementation of the national strategy, there will be more and more geographic information databases for different application fields. Without a feasible spatio-temporal data management method, it will be difficult to effectively exert the huge value contained in geographic information.

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