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

Inclination model and multivariate model dynamic fusion-based adaptive network visualization method

An adaptive network and model technology, applied in the field of geospatial information systems, can solve the problems of difficult to meet the application needs of diverse terminal equipment of different user groups, and achieve the effect of high interactivity

Inactive Publication Date: 2017-06-27
朱庆
View PDF5 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the devices used by users to access the Internet are becoming more and more diversified, including not only mobile phones, computers, but also tablets. However, most of the existing 3D GIS network visualization methods are aimed at desktop terminal applications, which are difficult to meet the application needs of diverse terminal devices of different user groups.

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
  • Inclination model and multivariate model dynamic fusion-based adaptive network visualization method
  • Inclination model and multivariate model dynamic fusion-based adaptive network visualization method
  • Inclination model and multivariate model dynamic fusion-based adaptive network visualization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention is described below in conjunction with accompanying drawing:

[0041] Such as figure 1 As shown, firstly, the mass tilt model and the multivariate model are optimized to organize,

[0042] S1. Mass tilt model and multivariate model optimization organization, including:

[0043] S11. Tilting the model to optimize the organization, such as figure 1 (a), including:

[0044] S111. Conversion of the tilted model coordinate system, converting the coordinate system of the tilted model from the station center coordinate system to the Web Mercator projection coordinate system. The equiangularity of the Mercator projection will help ensure the uniform granularity of the tile division of the tilted model The specific conversion formula is as follows:

[0045] Among them, pi is the circumference ratio π, Lat is the longitude of the tile, Lng is the latitude of the tile, L refers to the level of detail level, TileWidth refers to the width of a single ti...

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 belongs to the technical field of a geographic space information system, and particularly relates to an inclination model and multivariate model dynamic fusion-based adaptive network visualization method. According to the inclination model and multivariate model dynamic fusion-based adaptive network visualization method provided by the invention, by performing dynamic fusion operation on an inclination model and a multivariate model, the difficult problem of multi-granularity three-dimensional scene fusion modeling of a local fine independent entity model and a large-range inclination model as data sources is solved; and meanwhile, through efficient massive inclination model and multivariate model organization, scene service release and adaptive visualization, complex three-dimensional scene adaptive visualization display for multiple user terminals in a network environment is realized.

Description

technical field [0001] The invention belongs to the technical field of geospatial information systems, and in particular relates to an adaptive network visualization method for dynamically merging an oblique model and a multivariate model. Background technique [0002] Oblique photogrammetry technology comprehensively perceives complex scenes in a large-scale, high-precision, and high-definition manner, and its data result oblique model provides data and accuracy guarantees for realistic displays in the real world. At the same time, the continuous development of network technology connects independent computer systems distributed in different locations through interconnection channels. The rapid release and visualization of geographic information services in the network environment is conducive to improving the utilization efficiency and sharing degree of spatial data. Therefore, it is of great significance to realize the efficient display and interactive exploration of the ...

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
IPC IPC(8): G06T17/30
CPCG06T17/30
Inventor 朱庆朱军
Owner 朱庆
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