基于Kriging插值算法的粮堆内部温度可视化研究

为了更直观地获得粮堆内部三维温度分布信息以及变化情况,本文对Kriging插值算法进行研究。建立了粮仓内部温度可视化插值模型,并将其运用到实验过程。经过采样点的数据插值,分别对1 000个数据点和27 000个数据点进行仿真可视化,并对27 000个数据点进行单切片专题图分析比较。在可视化程度相比较分析中,原始216个数据远远不能实现粮堆内部的温度可视化,在将温度插值分为27 000个点后再次进行可视化,便能直观清楚的反映粮仓粮堆内部温度信息。从而验证了Kriging插值算法在粮堆内部温度可视化中的有效性,通过采用Kriging插值算法对粮堆内部温度进行可视化研究有前瞻应用意义。

Visualization of Temperature in the Granary Based on Kriging Interpolation Algorithm

Kriging interpolation algorithm is studied to obtain more intuitively the three-dimensional temperature distribution and the changing in the granary internal information in the thesis. The visual interpolation model of temperature in granary was established and applied to the experimental process. After interpolating sampling points, simulation visualization was carried out for 1000 data points and 27000 data points respectively, and single slice thematic map was analyzed and compared for 27000 data points. In the comparison and analysis of visualization degree, the original 216 data are far from realizing the visualization of temperature in the granary. After the temperature interpolation is divided into 27,000 points, the visualization can directly and clearly reflect the temperature information in the granary. Therefore, the validity of Kriging interpolation algorithm in temperature visualization of granaries is verified.