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An Efficient Visualization Method and System for Space-Time Big Data Grid Coding

A grid coding, spatiotemporal data technology, applied in database indexing, geographic information database, structured data retrieval, etc. Query efficiency and visual expression, fast query, and the effect of reducing response time

Active Publication Date: 2021-08-03
CHINA UNIV OF MINING & TECH (BEIJING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the large amount of spatio-temporal big data and various acquisition methods, the amount of data requests on the Web side when acquiring back-end data is very large, resulting in a long time for data query, as well as time for data analysis and processing, and the time for visualization The consumption is also large, which leads to inefficiency in the visualization of the entire spatiotemporal big data

Method used

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  • An Efficient Visualization Method and System for Space-Time Big Data Grid Coding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] A short-space data grid encoding high-efficiency visualization method, including the following:

[0054] A. Establish a spatial and large data visualization model, build a grid encoding index data structure on the time and space data visualization model, and get the encoded index data collection, and store the encoded index data into the time and space database, encoding index data collection includes encoding , Indexing and data correspondence; select or set a visual field on a time and space data visualization model, and obtain a visual field encoded index data collection corresponding to the visual field;

[0055] B, the visual domain setting of the time and space data visualization model, the visual main thread and the data request sub-thread; collect space data and perform grid encoding design, transfer to the data request sub-thread, the data request sub-thread is encoded according to visual field. The index data set query corresponds to the time and space data of the...

Embodiment 2

[0075] A short-space data grid encoding high-efficiency visualization method, including the following:

[0076] A. Establish a time and space data visualization model, build a grid encoding index data structure on a time and space data visualization model, the gridized encoding index data structure construction method is as follows: According to the equivalent difference, the principle of latitude, etc. Visualization model is split by a quadrupted grid unit in accordance with the quadrush mesh;

[0077] Depending on the test of the mesh 0 , Latitude B 0 , Visual field mesh is paralleled 1 , Latitude B 1 , Get a visual field coding row line number set X and Y:

[0078] View domain coding line number set

[0079] STO Code Column Number Collection Where x represents the grid encoding hierarchy;

[0080] The binary representation of the visual field coded set line number and the column number is interleaved according to the Morton coding rule, obtain the visual field encoding index ...

Embodiment 3

[0085] like figure 1 As shown, a time-space big data grid encodes an efficient visualization method, which includes the following:

[0086] S1, establish a time and space big data visualization model, build a local area four-stroke encoding index on the time and space, the mesh coding, the mesh encoding, and the "encoding-index-data" integration is implemented. Get the geographic spatial coding collection of the corresponding visual field (also known as the encoded index data collection);

[0087] S2, proposing mesh time and space data front data request and visual thread separation method, sub-thread (also known as data request sub-thread), based on the geospatial coding collection of the visible field, perform gridized time and space data query, then communicate via thread communication Pass the query results to the main thread (also known as the visual main thread), and the final main thread completes the visualization of mesh-space data;

[0088] S3, real-time monitoring of vi...

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Abstract

The invention discloses a space-time big data grid encoding efficient visualization method and system. The system includes a space-time big data visualization model, a space-time database, an acquisition module, a grid coding module, and a visual field data visualization processing module. The space-time big data visualization The model is constructed with a grid coding index data structure; the spatio-temporal big data visualization model is equipped with a visual domain selection module, and the visual domain data visualization processing module includes a visualization main thread module and a data request sub-thread module. The present invention can select or set the visual domain on the spatio-temporal big data visualization model as required, and the data request sub-thread queries the spatio-temporal data of the corresponding visual domain according to the visual domain coding index data set and transmits it to the visualization main thread for visual expression. It has the advantages of data query, visual expression, and high quality and efficiency of visual loading, which significantly improves the fluency of data loading and visualization.

Description

Technical field [0001] The present invention relates to the field of visualization of time and space, and more particularly to a time-space large data grid encoding efficient visualization method and system. Background technique [0002] Time and short data is based on unified space baseline, and the activity is directly or indirectly associated with the location in time and space. It is the number, quality characteristics of various elements (phenomena), quality characteristics and data sets thereof in time and space, with space, time, attribute, and multi-source. Ethylene, isomer, multi-dimensional dynamic. Time and Space Big Data Web Visualization is usually a front-end browser sends a data request. The rear-end server receives the front-end request to perform data query and data processing, and then return the result to the front end, the front end receives data and completes data loading and visualization. Due to the number of time and space data, the web end is very large w...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/29G06F16/22
CPCG06F16/2246G06F16/29
Inventor 李军孙文童刘举庆梅晓龙
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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