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Mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional index

A spatiotemporal data and optimization method technology, applied in the field of big data processing, can solve the problems of difficult visualization exploration, multiple dimensions of spatiotemporal data, and difficult analysis, and achieve the effect of enhancing user experience, optimizing performance, and speeding up loading time.

Pending Publication Date: 2022-08-09
贵州优联博睿科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of multi-dimensional spatio-temporal data, difficult analysis, and difficult visualization exploration. Based on the existing high-performance WebGL rendering framework for big data visualization, the spatio-temporal data is organized and managed based on the spatio-temporal index technology, and combined with augmented Quantitative visualization technology to optimize the performance of large-scale spatiotemporal data visualization

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  • Mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional index
  • Mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional index
  • Mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional index

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[0041] The content of the present invention will now be discussed with reference to exemplary embodiments, it being understood that the embodiments discussed are only for the purpose of enabling those of ordinary skill in the art to better understand and thus implement the content of the invention, and do not imply the scope of the invention any restrictions.

[0042]As used herein, the term "including" and variations thereof are to be read as open-ended terms meaning "including, but not limited to." The term "based on" is to be read as "based at least in part on," and the terms "one embodiment" and "one embodiment" are to be read as "at least one embodiment."

[0043] figure 1 Schematically representing a flow chart of a method for optimizing the visualization performance of massive spatiotemporal data based on a multi-dimensional index according to the present invention, such as figure 1 As shown, a method for optimizing the visualization performance of massive spatiotempo...

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Abstract

The invention discloses a mass spatio-temporal data visualization performance optimization method and system based on multi-dimensional indexes, and the method comprises the steps: mastering the data characteristics and data formats of spatio-temporal data, carrying out the organization and management of the spatio-temporal data according to an application scene, and carrying out the optimization of the visualization performance of the spatio-temporal data. According to the method, a KD-Tree and histogram fused KD-H technology is provided, query performance is optimized for non-aggregation query and aggregation query, after spatio-temporal data is organized and managed, a multi-dimensional index and a histogram are constructed, and after proper KD-Tree and histograms are constructed for different application scenes, the query performance is optimized. A public map geographic space visualization map is used as a base map, on a high-performance WebGL rendering framework based on big data visualization, the incremental visualization technology is used for optimizing the performance of large-scale spatio-temporal data visualization, visualization details are increased or updated through incremental visualization, visualization of a large-scale data set is completed step by step, and the visualization efficiency of the large-scale data set is improved. According to the method, the large-scale spatio-temporal data visualization performance is optimized, the loading time is shortened, and the user experience is enhanced.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a method and system for optimizing the visualization performance of massive spatiotemporal data based on multi-dimensional indexes. Background technique [0002] Spatiotemporal data is a kind of multi-dimensional data, including time dimension, space dimension and thematic attribute information. It records the spatial position and state of things at a certain point in time or within a certain period of time, and can reflect the qualitative change process of objects from one state to another. A state that correctly reflects past, present and future events, such as the migration of city locations, the changes in spatial locations of moving objects, etc. [0003] With the rapid development of big data visualization applications, more and more attention has been paid to the visualization of spatiotemporal data. In order to solve the problems of multi-dimensional and difficult analy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/26G06F16/22G06F16/27G06F16/28G06F16/29
CPCG06F16/26G06F16/284G06F16/29G06F16/278G06F16/22Y02D10/00
Inventor 李晖闵圣天李一水
Owner 贵州优联博睿科技有限公司
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