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Thermodynamic diagram data abbreviation method based on vector tiles

A vector data and heat map technology, applied in the field of data processing, can solve the problems of slow loading and large amount of data transmitted by heat map, and achieve the effect of small amount of data, improved user experience, and fast response.

Pending Publication Date: 2020-11-10
BEIJING GEOWAY SOFTWARE
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Problems solved by technology

[0003] The main purpose of the present invention is to provide a thermal map data reduction method based on vector tiles, which aims to solve the technical problem of slow loading caused by the large amount of transmitted data of thermal maps in the prior art

Method used

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  • Thermodynamic diagram data abbreviation method based on vector tiles
  • Thermodynamic diagram data abbreviation method based on vector tiles
  • Thermodynamic diagram data abbreviation method based on vector tiles

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no. 1 example

[0061] refer to Figure 4 , Figure 4 It is a schematic flow chart of the second embodiment of a heat map data reduction method based on vector tiles in the present invention; based on the first embodiment above, after step S30, a heat map data reduction method based on vector tiles in this embodiment, Also includes:

[0062] Step S301: redundantly store the vector tile data according to the maximum diffusion radius.

[0063] It should be noted that after the vector data is converted into vector tile data, the vector tile data is redundantly stored according to the buffer range corresponding to the maximum diffusion radius, so that in the heat map, multiple vector tiles Can be joined seamlessly. It is convenient to overlay and analyze the thermal map, and at the same time realize the large-scale roaming of the thermal map, and enhance the user's experience of the thermal map.

[0064] It should be noted that before the step of performing weighted aggregation on the generat...

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Abstract

The invention relates to the technical field of data processing, in particular to a thermodynamic diagram data abbreviation method based on vector tiles. The method comprises the following steps: acquiring original vector data of a thermodynamic map; performing grid storage format conversion on the original vector data to obtain tile vector data; performing tile coordinate conversion on the tile vector data to generate vector tile data; and performing pixel aggregation on the vector tile data according to preset tile pixel precision so as to generate abbreviated data of the thermodynamic map.The vector data is converted into the vector tile data, so that the thermodynamic map can be subjected to block loading according to the tile grids, and the response speed is increased; the data volume for rendering the thermodynamic map is small; the thermodynamic map data is simple and quick to generate, high in loading performance and quick in response, and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a vector tile-based thermal map data reduction method. Background technique [0002] The existing heat map is usually a front-end rendering effect, which needs to be rendered after the data is loaded to the front-end. When the amount of data is large, the amount of transmitted data increases significantly, and the front-end data loading is very slow, which greatly affects the user experience. To solve the problem of large amount of data, a series of data processing is required, which is cumbersome and lengthy. At the same time, the data obtained by traditional data processing is a whole, and the one-time loading at the front end is relatively slow. Contents of the invention [0003] The main purpose of the present invention is to provide a thermal map data downscaling method based on vector tiles, aiming to solve the technical problem of slow loading caused by the larg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00
CPCG06T9/00Y02D10/00
Inventor 陆泽朱清清高彦梅李晶云
Owner BEIJING GEOWAY SOFTWARE
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