红外高温温度场中非完全温度点重建方法与预测精度的研究

发布时间：2018-11-26 09:49

【摘要】：在高温温度场重建过程中,仍然需要通过温度场的单点温度值来构建整个温度场的温度分布情况。以焊接温度场为例,通过反距离加权法、克里格法和样条函数法三种插值方法,分别对其空间变异和布局进行了分析和重建。结果表明:不同插值方法对预测精度影响不显著,而采样点数量则显著影响了温度场空间分布的重建精度。在温度场重建过程中,25个采样点进行重建是比较适宜的采样数量。将得出的结论与最佳采样公式进行比较,发现使用公式计算的最佳采样数量相对偏低,说明不考虑采样点实际的空间变异情况,仅使用最佳公式得到的采样数量进行温度场的重建会导致重建结果的不准确。
[Abstract]:In the process of reconstructing the high temperature field, the temperature distribution of the whole temperature field still needs to be constructed by the single point temperature value of the temperature field. Taking welding temperature field as an example, the spatial variation and layout of welding temperature field were analyzed and reconstructed by inverse distance weighting method, Kriging method and spline function method. The results show that the different interpolation methods have no significant effect on the prediction accuracy, while the number of sampling points has a significant impact on the reconstruction accuracy of the spatial distribution of the temperature field. In the process of temperature field reconstruction, 25 sampling points are suitable for sampling. The conclusion is compared with the optimal sampling formula, and it is found that the best sampling quantity calculated by the formula is relatively low, which shows that the actual spatial variation of sampling points is not considered. The reconstruction of the temperature field by using only the sample number obtained by the optimal formula will result in the inaccuracy of the reconstruction results.
【作者单位】：哈尔滨工业大学;黑龙江科技大学电气与控制工程学院;
【基金】：2014年国家重大科学仪器设备开发专项(2013YQ470767) 国家自然科学基金(60377037) 黑龙江省教育厅科技项目(12521487)
【分类号】：TG402;TN219

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