Research On Three-dimensional Visualization Of Meteorological Spatiotemporal Big Data And Its Application In Animal Husbandry Meteorolog

Meteorological data visualization is an important part of meteorological services and the ultimate carrier of meteorological information presentation.Three-dimensional meteorological data visualization based on WebGIS has always been one of the important forms of meteorological data visualization.In turn,the volume of meteorological data increases and the frequency of time series updates is accelerated.The existing WebGIS 3D engine cannot achieve smooth and efficient rendering and display of large-scale meteorological spatiotemporal data.After loading,it may cause the browser to crash,or cause the entire interactive scene to freeze,so that smooth interactive operations cannot be performed,and it cannot better meet practical applications.need.This paper proposes to implement a custom WebGL layer in CesiumJS,build a WebGL dataset of meteorological data in different meteorological visualization forms,and use the CesiumJS custom WebGL layer to load and display the method to achieve high-performance loading of meteorological spatiotemporal big data It can better solve the above problems and improve the technical ability of 3D visualization of meteorological big data.The main research results of this paper are as follows:(1)Based on CesiumJS,the construction of 3D geographic information scene on the Webside is realized,which provides basic geographic information scene support for 3D visualization of meteorological spatiotemporal big data.(2)Researched and mastered the custom WebGL layer technology and layer data time series animation update technology in CesiumJS,which provided a feasible technical basis for the 3D visualization of meteorological spatiotemporal big data.(3)The construction of WebGL data set for automatic station data site coloring has been innovatively realized,and the construction of WebGL data set of grid point stretching,3D streamline field,3D isosurface,and multi-layer grid point slices has clarified the difference.The construction process and method of WebGL datasets in different visualization forms for meteorological data has successfully solved the rendering performance problem of 3D visualization of meteorological spatiotemporal big data,and provided a clear technical route guidance for subsequent in-depth research.(4)Apply the results of the three-dimensional visualization technology of meteorological spatiotemporal big data researched in the thesis to practical projects,and design and develop the Hulunbuir smart meteorological service platform,which better realizes the three-dimensional visualization of Hulunbuir meteorological data and the forecast of forage turning green period and forage fullness.It has functions such as the forecast of the green period,the forecast of the fat condition of the livestock,and the forecast of the wool and shearing period of the livestock.