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.
CN110457530AActive Publication Date: 2019-11-15广州软博信息科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
广州软博信息科技有限公司
Publication Date
2019-11-15

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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.
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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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