反距离加权插值算法在空间温度场可视化中的应用

Inverse Distance Weighted Interpolation Algorithm in the Application of the Visual Space Temperature Field

空间温度场的可视化技术在空调器性能测试领域中具有重要作用,无论是热力图还是原始的空间散点图都存在难以全面直观反映三维空间实际温度分布的缺点。针对上述问题,将反距离加权插值算法应用于空间温度场可视化技术中,并采用基于立方体估值的邻域搜索方法,不仅使温度过渡更加平滑,显著优化了整体的显示效果,同时其耗时也无明显增长。对两份空调性能测试过程中的实际空间温度场分布数据进行效果优化展示,对比结果证明了反距离加权插值算法在空间温度场可视化应用中的有效性,表明该方法在空调器性能测试领域中具有一定的价值。

The visualization technology of space temperature field plays an important role in the field of air conditioner performance testing.Both the heat map and the original spatial scatter diagram are difficult to fully and intuitively reflect the actual temperature distribution in three-dimensional space.In order to solve the above problems,the inverse distance weighted interpolation algorithm was applied to the visualization technology of space temperature field,and the neighborhood search method based on cube estimation was adopted,which not only made the temperaturetransition smoother and greatly optimized the overall display effect,but also did not increase the time consumption significantly.The comparison results show that the inverse distance weighted interpolation algorithm is effective in the visualization of space temperature field,which shows that the method has a certain value in the field of air conditioner performance testing.