Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Visual modeling method and system based on space-time big data

A technology of spatiotemporal data and modeling methods, applied in neural learning methods, structured data retrieval, database design/maintenance, etc., can solve problems such as unfavorable and rapid data extraction to meet business needs, many business models, etc., to meet leadership decision support and business management needs

Active Publication Date: 2021-09-24
无锡四维时空信息科技有限公司
View PDF9 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a visual modeling method and system based on spatio-temporal big data, which solves the technical problem in the prior art that there are many business models and often changes and adjustments, which is not conducive to quickly extracting data to meet business needs. Visual custom modeling in the form of data, which can adjust the business model at any time according to business changes, efficiently and quickly mine valuable information from spatiotemporal big data, and then meet the technical effects of leadership decision support and business management needs

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Visual modeling method and system based on space-time big data
  • Visual modeling method and system based on space-time big data
  • Visual modeling method and system based on space-time big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Such as figure 1 As shown, the embodiment of the present application provides a visual modeling method based on spatiotemporal big data, wherein the method includes:

[0034] Step S100: Obtain the first construction project information;

[0035] Step S200: Obtain a first information analysis instruction, perform business analysis on the first construction project information according to the first information analysis instruction, and obtain a first analysis business result;

[0036] Specifically, the first construction project information is a construction project object requiring spatio-temporal data modeling, and the data business model changes as the project changes. Perform business analysis on the first construction project information according to the first information analysis instruction, and obtain an analysis business result required by the construction project.

[0037] Step S300: building a business retrieval feature decision tree;

[0038] Such as Fig...

Embodiment 2

[0094] Based on the same inventive idea as a visual modeling method based on spatiotemporal big data in the foregoing embodiments, the present invention also provides a visual modeling system based on spatiotemporal big data, such as Figure 8 As shown, the system includes:

[0095] A first obtaining unit 11, the first obtaining unit 11 is used to obtain the first construction project information;

[0096] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain a first information analysis instruction, perform business analysis on the first construction project information according to the first information analysis instruction, and obtain a first analysis business result;

[0097] A first construction unit 13, the first construction unit 13 is used to construct a service retrieval feature decision tree;

[0098] A third obtaining unit 14, the third obtaining unit 14 is configured to retrieve and classify the first analyzed service results according t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a visual modeling method and system based on space-time big data. The method comprises the steps: carrying out the labeling classification of a spatial feature data set, an attribute feature data set, and a time scale feature data set, and obtaining a first business feature data set; obtaining a corresponding visual image data set according to the first business feature data set; inputting the business spatio-temporal database and the business management indexes into a deep convolutional neural model for data training to obtain a first business spatio-temporal data model; performing incremental learning on the first service spatio-temporal data model according to the first service periodic change feature to obtain a second service spatio-temporal data model; and performing support management on the first construction project information according to the second business spatio-temporal data model. The technical problem that in the prior art, the business models are numerous and frequently changed and adjusted, and data cannot be rapidly extracted to meet business requirements is solved.

Description

technical field [0001] The invention relates to the field of model building, in particular to a visual modeling method and system based on spatiotemporal big data. Background technique [0002] In the process of promoting the construction of smart cities, more and more spatio-temporal big data are accumulated. Spatio-temporal data refers to spatial data that has time elements and changes with time. . These spatio-temporal data not only have obvious spatial distribution characteristics, but also have the characteristics of huge data volume, nonlinearity and time variation, and have the comprehensive characteristics of multi-source, massive and fast update. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present application, the inventor of the present application found that the above-mentioned technology has at least the following technical problems: [0004] In the existing technology, there are many business m...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/21G06K9/62G06N3/04G06N3/08
CPCG06F16/212G06N3/08G06N3/045G06F18/2135G06F18/24323
Inventor 周新民胡德兵王彬颜停霞胡新元
Owner 无锡四维时空信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com