Lightweight geographical analysis method for facility agriculture meteorology early warning

Abstract

The invention relates to the field of agriculture meteorology hazard early warning, in particular to a lightweight geographical analysis method for facility agriculture meteorology early warning based on an ArcGIS Engine. The method includes the steps that (1), regional geographic information of facility agriculture meteorology early warning is obtained; (2), a geographic information database of the facility agriculture meteorology early warning is established; (3), data of all meteorology stations of a facility agriculture meteorology early warning system are obtained; (4), interpolation analysis is performed on all the meteorology stations; (5), contour line drawing and contour surface partitioning are performed on the geographic data on which the interpolation analysis is performed; (6), after the geographic analysis, the data are exported to be images needed by a user. A c# language is used in cooperation with the ArcGIS engine method for performing the geographic data analysis on the facility agriculture meteorology early warning, so that errors and labor consumption caused by manual usage of tools are avoided, and the load of performing geographic data analysis is effectively reduced.

Description

technical field [0001] The invention relates to a lightweight geographic analysis method for facility agricultural meteorological early warning, which relates to the field of agricultural meteorological disaster early warning, in particular to a lightweight geographic analysis method for facility agricultural meteorological early warning based on ArcGis Engine. Background technique [0002] Facility agriculture is a modern agricultural production mode integrating engineering technology, information technology, biotechnology and environmental technology. The core of facility agriculture is to effectively control the internal environment of the facility and create the best environmental conditions suitable for the growth and development of organisms and the storage and preservation of agricultural products. Refer to decision information. [0003] The traditional meteorological early warning method mainly uses geographic information software to analyze the collected meteorolog...

AI Technical Summary

Problems solved by technology

[0003] The traditional meteorological early warning method mainly uses geographic information software to analyze the collected meteorological information manually, which has the characteristics of repeated tasks and waste of manpower.

Although the current geographic analysis method based on WebGIS can enable users to conduct geographic analysis in a timely manner, the establishment of the background geographic analysis model and repeated requests from users will cause a huge burden on the server

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