Construction method and equipment of polymorphic geographic entity data model and storage equipment

Abstract

The invention provides a construction method of a polymorphic geographic entity data model. The method comprises the following steps of storing geographic entity data in a map-genus separation form, including a geographic entity index, a graph, an attribute and relationship; the geographic entity index is used for storing basic information of entity data, and the basic information comprises an entity unique identification code; the graph is a representation form of the entity data and comprises a vector form, an image form and a three-dimensional form; the attribute is surveying and mapping business information of the geographic entity data; the relationship is a spatial logic relationship among different geographic entity data; and the graph, the attribute and the relationship are associated with the geographic entity index through the entity unique identification code. The method has the advantages that geographic entity data is more efficient in retrieval and updating, retrieval canbe performed through any tense, flexible assembly capacity of the data is provided on the premise that the geographic entities are scientifically classified, and the geographic entities can be used as parts of an application scene more conveniently and efficiently.

Description

technical field [0001] The invention relates to the field of geographic information data processing, in particular to a method, device and storage device for constructing a polymorphic geographic entity data model. Background technique [0002] Geographic entities are natural geographical units and artificial facilities that occupy a certain spatial position in the real world and have the same attributes or complete functions. Geographic entity data is an abstract description of geographic entities. On the surface of spatial dimension expression, a geographic entity can have multiple expressions of geographic entity data, including remote sensing images, 3D models, and 2D vectors. At the same time, 2D vectors are There are various abstract forms such as point, line, surface, etc. depending on the usage scenarios; in the time dimension, geographic entities have a description of the entire life cycle, including the generation, existence (change) and death time of geographic en...

AI Technical Summary

Problems solved by technology

[0006] (1) Data redundancy. If any attribute changes, the data must be updated in full. In the case of multiple graphics, multiple updates are required. For example, when the administrative area is adjusted, due to the change of the address, all data in the jurisdiction needs to be updated. update processing, which creates a lot of redundancy

[0007] (2) Data assembly is inflexible. All attribute data must rely on graphics. However, geographic entity data is a kind of composite data, which includes images and 3D graphics in addition to vector graphics. When a combination of images and attributes is required in business scenarios, now Some models must retrieve vector data and image data, and then filter the graphic information of the vector data to get the result

[0008] (3) The efficiency of data retrieval is reduced. Due to the large number of data entries caused by data redundancy, the retrieval time is prolonged, and the information of a large number of redundant data fields is the same, which increases the complexity of query conditions

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