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

Multi-scale query method of ecological evolution big data in mining area based on geographic grid model

A query method and big data technology, applied in the field of multi-scale query of ecological evolution big data in mining areas based on geographic grid model, can solve the long spatial scale of time series, it is difficult to achieve high performance, multi-scale management and query of massive ecological evolution big data , mining area ecological environment monitoring and evaluation difficulties, etc., to achieve efficient and smart management, improve data retrieval efficiency, and facilitate data retrieval

Active Publication Date: 2022-04-29
CHINA UNIV OF MINING & TECH (BEIJING) +1
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The ecological environment is a typical complex giant system, which covers many ecological elements, involves long time series and various spatial scales, making it difficult for existing technologies to achieve high-performance, multi-scale management and query of massive ecological evolution big data. Monitoring and assessment of the environment poses enormous difficulties

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
  • Multi-scale query method of ecological evolution big data in mining area based on geographic grid model
  • Multi-scale query method of ecological evolution big data in mining area based on geographic grid model
  • Multi-scale query method of ecological evolution big data in mining area based on geographic grid model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Such as Figure 1 to Figure 7 As shown, a multi-scale query method based on geographic grid model mining area ecological evolution big data, the method is as follows:

[0048] A, construct the geographic grid model that contains lines of longitude and latitude: adopt quadtree grid subdivision structure to subdivide the earth for the first time (preferably, earth map or global plane map, the present embodiment adopts global plane map) to obtain eight For quadrilaterals, the subdivision level is recorded as level=0; the quadrangle subdivided for the first time by the geographic grid model is further subdivided in a quadtree manner, and each quadrilateral is subdivided into four subquadrons, and the subdivision level is recorded as level=1 (a total of 32 quadrilaterals); ...recursively subdivided in sequence according to the above method (such as: the quadrilateral divided by the subdivision level level=1 is further subdivided according to the quadtree method, and the subd...

Embodiment 2

[0069] Such as Figure 1 to Figure 7 As shown, a multi-scale query method based on geographic grid model mining area ecological evolution big data, the method is as follows:

[0070] A, construct the geographic grid model that contains lines of longitude and latitude: adopt quadtree grid subdivision structure to subdivide the earth for the first time (preferably, earth map or global planar map, present embodiment adopts global planar map) to obtain eight For quadrilaterals, the subdivision level is recorded as level=0; for the first subdivision of the geographic grid model, the quadrilaterals are further subdivided in a quadtree manner, and each quadrilateral is subdivided into four subquadrons, and the subdivision level is recorded as level=1 (a total of 32 quadrilaterals); ...recursively subdivided in sequence according to the above method (such as: the quadrilateral divided by the subdivision level level=1 is further subdivided according to the quadtree method, and the subd...

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 multi-scale query method based on a geographical grid model mining area ecological evolution big data. The method is as follows: A. constructing a geographical grid subdivision model; B. performing geographic coding based on a Z-order space filling curve; C. Time coding of ecological evolution big data; D. Establishing an ecological factor system based on ecological environment influence factors and constructing an ecological evolution big data cube EE-Cube with geographic coding and time coding as information carriers, and building a spatio-temporal composite index structure in the database; E. The query area uses different spatial scales to retrieve, display and analyze the ecological evolution data of the mining area at any time and in any space. The present invention performs geographic coding based on a geographic grid model and integrates time coding rules, and at the same time establishes a database of mapping data corresponding to a spatio-temporal composite index structure to facilitate data retrieval, and realizes rapid retrieval of ecological evolution big data in any space, time, and scale Query and Analysis.

Description

technical field [0001] The invention relates to the fields of mining, ecology, remote sensing and geographic information, and in particular to a multi-scale query method for big data of mining area ecological evolution based on a geographic grid model. Background technique [0002] A mining area is a special geographical place derived from resource mining activities, and its ecosystem is an organic whole that interacts with human activities and natural resources and the environment. In the process of mining coal, oil and other natural resources, human beings will inevitably cause damage to the ecological environment of mining areas. With the advancement of ecological civilization construction, issues such as ecological environment damage and vulnerability in mining areas have received attention from the state and all walks of life. Therefore, how to use remote sensing technology, geographic information technology, big data technology, etc. to carry out all-weather, all-round...

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 Patents(China)
IPC IPC(8): G06F16/29G06Q50/02
CPCG06F16/29G06Q50/02
Inventor 李军刘举庆张成业王兴娟鲁文乐游林
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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