Rapid interpolation and color filling method for meteorological automatic station data

An automatic station and interpolation technology, which is applied in the field of meteorological monitoring and 3D digitization, can solve the problems of inability to monitor and collect data evenly distributed, and achieve the effects of improved interpolation speed, fast calculation and accurate estimation.

Active Publication Date: 2019-11-15
广州软博信息科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Spatial hash point data such as meteorological automatic station data, due to actual geog

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
  • Rapid interpolation and color filling method for meteorological automatic station data
  • Rapid interpolation and color filling method for meteorological automatic station data
  • Rapid interpolation and color filling method for meteorological automatic station data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The following specific examples further illustrate the present invention, so that those skilled in the art can better understand the present invention and implement it, but the given examples are not intended to limit the present invention.

[0020] A rapid interpolation and coloring method for meteorological automatic station data. The main processes affecting the interpolation analysis of spatial hash point data include, spatial data sequence indexing, matrix operations, weight calculation of points to be interpolated, legend reading and Color rendering. This method mainly proposes an efficient processing method for the above process. After testing, under the premise of the same hardware configuration, the same data source and graphical standards, the initial interpolation speed is increased by about 30% compared with the traditional method, and the subsequent interpolation speed is increased by 10%. about times.

[0021] In the step of reading site data for spatial ...

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 provides a rapid interpolation and color filling method for meteorological automatic station data. The rapid interpolation and color filling method comprises the following steps: site data space form analysis, space data sequence indexing, matrix operation, weight calculation of points to be interpolated, color filling on an interpolation conclusion to generate a picture, and adjustment during the process. The rapid interpolation and color filling method is efficient in the processing method and is accurate in value assessment, and the interpolation method with value assessment,rapid calculation and color filling can effectively improve the data analysis efficiency, and on the premise of the same hardware configuration, the same data source and the same graphical standard, compared with a traditional method, the initial time interpolation speed is increased by about 30%, and the subsequent time interpolation speed is increased by about 10 times.

Description

technical field [0001] The invention relates to the technical fields of meteorological monitoring and three-dimensional digitization, in particular to a fast interpolation and coloring method for automatic meteorological station data. Background technique [0002] Spatial hash point data such as meteorological automatic station data, due to actual geographical environment factors, cannot be evenly distributed for data monitoring and collection. For spatial data analysis, spatial interpolation of the hashed meteorological autostation data is required. Due to the high timeliness of data analysis of meteorological automatic stations, it is generally required to draw real-time analysis conclusions within 10 seconds; the amount of data is large, generally there are hundreds to thousands of stations, and the spatial range is thousands of square kilometers. The two-dimensional network of data graphics The grid points reach millions. Therefore, the interpolation method with accura...

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): G06F16/901G06T11/00
CPCG06F16/9014G06T11/001
Inventor 刘海涛
Owner 广州软博信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap