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A component-based spatio-temporal big data visualization configuration method and system

A configuration method and big data technology, applied in the direction of electrical digital data processing, input/output process of data processing, software engineering design, etc., can solve problems such as low flexibility, long development time, difficult to guarantee stability, etc., to achieve guaranteed program effect

Active Publication Date: 2022-02-01
内蒙古科电数据服务有限公司
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Problems solved by technology

The existing visual development technology for spatiotemporal big data has the disadvantages of long development time and low flexibility; stability will be difficult to guarantee when time is urgent

Method used

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  • A component-based spatio-temporal big data visualization configuration method and system
  • A component-based spatio-temporal big data visualization configuration method and system
  • A component-based spatio-temporal big data visualization configuration method and system

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Embodiment Construction

[0079] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0080] The embodiment of the present invention provides a component-based spatio-temporal big data visualization configuration method, such as figure 1 shown, including:

[0081] Step S1: Obtain the spatio-temporal big data to be processed;

[0082] Step S2: Analyze the spatiotemporal big data and determine the data type;

[0083] Step S3: Based on the data type, call the corresponding publishing service to publish the spatio-temporal big data;

[0084] Step S4: receiving the visual configuration component after the third-party data processing platform processes the released spatio-temporal big data;

[0085] Step S5: receiving the user's configuration operation ...

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Abstract

The present invention provides a component-based spatio-temporal big data visualization configuration method and system, wherein the method includes: acquiring the spatio-temporal big data to be processed; parsing the spatio-temporal big data to determine the data type; Data release; receive the visual configuration component after the third-party data processing platform processes the released spatio-temporal big data; receive user configuration operations on the visual configuration component to form a visual interface. In the component-based spatio-temporal big data visualization configuration method of the present invention, each part is developed in the form of components, and the system of the component-based spatio-temporal big data visualization configuration method will have many public and unique components built in. After the system is launched, the customer only needs to configure and adjust the page to republish after putting forward new requirements, without the need for secondary development and redeployment. Components are all interactions between data, and the stability of the page will not be affected when modified.

Description

technical field [0001] The invention relates to the technical field of spatiotemporal big data, in particular to a component-based spatiotemporal big data visualization configuration method and system. Background technique [0002] At present, spatiotemporal big data includes three-dimensional information of time, space, and thematic attributes, and has the comprehensive characteristics of multiple sources, massive volume, and rapid update. The existing visualization development technology for spatio-temporal big data has the disadvantages of long development time and low flexibility; stability will be difficult to guarantee when time is urgent. After the visualized data is online, when there is a change, such as a change in customer demand, the problem can only be solved by program modification and redeployment. Contents of the invention [0003] One of the purposes of the present invention is to provide a component-based spatio-temporal big data visualization configurat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F8/34G06F8/33G06F8/38G06F3/0481G06F3/0482G06F3/0484
CPCG06F3/04817G06F3/0482G06F3/04845G06F8/33G06F8/34G06F8/38
Inventor 达赖建奋陈满意衣丰超宋云平曹玲刘帅
Owner 内蒙古科电数据服务有限公司
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