A fast interpolation and coloring 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 problem of inability to monitor and collect data evenly distributed, and achieve the effects of improved interpolation speed, accurate estimation and fast calculation.
CN110457530BActive Publication Date: 2022-02-22广州软博信息科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
广州软博信息科技有限公司
Publication Date
2022-02-22

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Abstract

The invention provides a fast interpolation and coloring method for meteorological automatic station data, comprising the following steps: spatial form analysis of station data, spatial data sequence index, matrix operation, weight calculation of points to be interpolated, coloring of interpolation conclusions to generate pictures, in progress Adjustment, the rapid interpolation and coloring method of meteorological automatic station data in this technical solution is efficient, the estimation is accurate, and the fast calculation and coloring interpolation method can effectively improve the efficiency of data analysis. Under the same hardware configuration, the same data source and graphical Under the standard premise, compared with the traditional method, the initial interpolation speed is increased by about 30%, and the subsequent interpolation speed is increased by about 10 times.
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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

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