为简洁有效地模拟红外仿真中的地表温度, 对全年中不同季节、不同天气条件下实地采集的材质表面温度及其相关的气象数据进行了回归分析, 模拟出不同气象条件下材质表面温度一日内随时间的变化曲线以及材质表面温度与气温和相对湿度之间的关系曲线, 构建了基于实测数据的材质表面温度经验模型。实验结果表明, 温度场经验模型的平均误差在 1.5℃以内, 可以较为准确地再现温度场的变化趋势以及不同时刻的温度值, 客观上验证了用回归分析方法构建的经验模型的有效性。

To simulate the surface temperature in infrared simulation succinctly and effectively, the regression analysis was conducted for the material surface temperature and related meteorological data that has been collected in different seasons and in all kinds of different weather conditions. The change curve of material surface temperature over the time in a day and the relation curve between the material surface temperature and the air temperature, the material surface temperature and relative humidity under different meteorological conditions were simulated. The material surface temperature experience model based on the measured data was founded. Experimental results show that the average error of temperature field experience model is within 1.5℃ and it can reproduce relatively and accurately the change trend of temperature field and different temperature of each moment. It objectively verify the effectiveness of the empirical model that has been build using regression analysis method.