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Construction method of multi-granularity hydrological space-time object data scene model

A scene model and object data technology, applied in special data processing applications, design optimization/simulation, etc., can solve problems such as lack of and inability to meet hydrological spatiotemporal object representation analysis and application requirements, single precision features, etc.

Inactive Publication Date: 2021-07-02
NANJING VOCATIONAL UNIV OF IND TECH
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Problems solved by technology

[0003] However, with the increase of water-related data, the existing hydrological data organization model lacks a single precision feature that can accurately express hydrological spatiotemporal data based on point, line, and surface geometric feature elements, and can accurately express its spatiotemporal attributes, states, and internal relationships. The multi-granularity representation on the Internet cannot meet the analysis and application requirements of hydrological spatio-temporal object representation at different granularity levels, and it is difficult to effectively organize and share information related to hydrological forecasting

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  • Construction method of multi-granularity hydrological space-time object data scene model
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  • Construction method of multi-granularity hydrological space-time object data scene model

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[0029] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] Secondly, the present invention is described in detail in conjunction with schematic diagrams. When describing the implementation of the present invention in detail, for the convenience of explanation, the cross-sectional view showing the device structure will not be partially enlarged according to the general scale, and the schematic diagram is only an example, and it should not be limited here. The protection scope of the present invention. In addition, the three-dimensional space dimensions of length, width and depth should be included in actual production.

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will further describe the implementation of the pr...

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Abstract

The invention discloses a construction method of a multi-granularity hydrological space-time object data scene model. The method comprises the following steps: determining a specific hydrological research area selected by a user on a map operation interface of terminal equipment; searching a plurality of hydrological objects corresponding to research in the selected specific hydrological research area; coding the plurality of searched hydrological objects corresponding to research one by one; constructing a life cycle Tc (Ts, Te) of the c-th coded hydrological object, an attribute set Ac (t) of the c-th coded hydrological object changing along with time, a spatial data type set Sc (t) of the c-th coded hydrological object changing along with time, and an attribute set of the c-th coded hydrological object changing along with air particles at any time; constructing a multi-granularity representation set of the state of the c-th hydrological object; and constructing a data scene model of the hydrological object. According to the construction method of the multi-granularity hydrological space-time object data scene model, the hydrological space-time object characterization analysis and application requirements of different granularity levels can be met.

Description

technical field [0001] The invention relates to the technical field of hydrological big data model construction, in particular to a method for constructing a multi-granularity hydrological space-time object data scene model. Background technique [0002] The rapid development and wide application of information technologies such as the Internet of Things, GIS, and big data, especially the formation of the space-space-ground integrated earth observation system, has greatly improved human's ability to observe space and earth, and expanded the types of water-related information. It provides rich data of basin meteorology, hydrology, geography, and human activities for the research and application of hydrology, and also provides a data basis for exploring hydrological forecasting methods based on big data artificial intelligence. [0003] However, with the increase of water-related data, the existing hydrological data organization model lacks a single precision feature that can ...

Claims

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Application Information

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IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 岳兆新廖常武周惠彭建华
Owner NANJING VOCATIONAL UNIV OF IND TECH
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