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Rapid implementation method for space superposition analysis

A technology of overlay analysis and implementation method, applied in special data processing applications, structured data retrieval, geographic information databases, etc., can solve the problems of low overlay efficiency, achieve performance improvement, improve performance, and improve analysis efficiency

Active Publication Date: 2020-06-12
BEIJING INST OF COMP TECH & APPL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is: how to design a fast implementation method for spatial overlay analysis to solve the problem of low overlay efficiency caused by a large number of intersection operations in the accurate matching process of the traditional overlay analysis method

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  • Rapid implementation method for space superposition analysis
  • Rapid implementation method for space superposition analysis
  • Rapid implementation method for space superposition analysis

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Embodiment Construction

[0031] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] Aiming at the computational bottleneck of spatial overlay, the present invention takes the overlay intersect calculation relationship as an example, and aims at processing complex surface element layers. In the method of operation, by understanding the internal parallel mechanism of overlay analysis, we try to explore a new way to accelerate the analysis and processing of geospatial information by using the "many-core" mode of the graphics processor.

[0033] A fast implementation method for spatial overlay analysis of the present invention, by improving the surface element data structure to make it linearly adapt to the storage mode of GPU video memory and support the rapid positioning of elements, and then use ...

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Abstract

The invention relates to a rapid implementation method for space superposition analysis, and relates to the technical field of space superposition optimization. The invention discloses a parallel space superposition analysis method. An improved surface element structure PLA is utilized; high-precision parallel space filtering based on a parallel grid index technology is realized at an equipment end, and a candidate set is mapped to a GPU thread array in a fine-grained manner to realize parallel element refining processing, so that the many-core advantages of the GPU are fully exerted, and theanalysis efficiency of space superposition is improved; according to the space superposition analysis-oriented rapid implementation method provided by the invention, the performance of the algorithm can be improved by one order of magnitude compared with the implementation of a CPU (Central Processing Unit) on the aspect of surface-to-surface superposition analysis for processing dense data, and the method can be effectively applied to a scene with a higher real-time requirement; due to the advantages of the quick implementation method for spatial superposition analysis in spatial superposition analysis efficiency, a good exploration direction is provided for improving the performance of spatial analysis in a network map service mode.

Description

technical field [0001] The invention relates to the technical field of space superposition optimization, in particular to a rapid implementation method for space superposition analysis. Background technique [0002] Spatial overlay operation is the most important and basic operation in spatial analysis. The core idea of ​​overlay analysis is to perform collective operations on different data layers under the same spatial reference system, and generate a new data layer containing various spatial relationships and attribute relationships. , to achieve the purpose of extracting and analyzing the implicit information between multiple spatial objects. The input of overlay analysis must contain at least two data layers, which are called overlay layer and overlay layer respectively. The data type of the superimposed layer can be point, line, surface, etc.; the data type of the superimposed layer is generally surface data. Therefore, the types of overlay analysis generally include...

Claims

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Application Information

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IPC IPC(8): G06F16/29
CPCG06F16/29Y02D10/00
Inventor 赵艳伟袁晓光杨帆
Owner BEIJING INST OF COMP TECH & APPL
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