基于插值方法的温室温度场可视化仿真分析

Visual simulation analysis of greenhouse temperature field based on interpolation method

温室自身的结构特点导致其内部温度分布并不均匀,在不同区域的温度存在相对较大的差异,了解温室内部温度分布情况对于优化温室结构、调控温室环境具有重要的意义。在传感器采样的基础上对数据插值,对比不同插值数据数量对温度分布图像的影响,选择出适宜的插值数据数量,利用插值结果与传感器采集数据对比计算误差,并通过实际运算测试不同插值方法的运算速度和数据图像化结果。试验结果表明:以传感器精度和温度差为依据插值数据量满足图形绘制要求,不同的天气情况下温度波动对插值误差的影响较大,Cubic、Natural、Liner插值运算的误差结果近似,平均误差均在1.5℃内。Liner插值方法运算速度最快,平均每次运算2.816 s,适用于需要大量进行温度场运算的场景;Cubic插值方法计算相对精确,适用于某一时刻的温度场的仿真计算。

The structural characteristics of the greenhouse lead to uneven internal temperature distribution,and there are relatively large differences in temperature in different regions.Understanding the internal temperature distribution of the greenhouse is of great significance for optimizing the greenhouse structure and regulating the greenhouse environment.Interpolate the data on the basis of sensor sampling,compare the effect of different interpolation data quantities on the temperature distribution image,select a more appropriate interpolation data quantity,and use the interpolation result to compare the sensor data to calculate the error,and test different interpolation methods through actual calculations speed and data visualization results.The test results show that the interpolation data amount meets the graphics drawing requirements based on the accuracy of the sensor and the temperature difference.The temperature fluctuation has a greater impact on the interpolation error in different weather conditions.The error results of Cubic,Natural,and Linear interpolation are approximate,and the average error within 1.5℃.The Liner interpolation method has the fastest calculation speed,with an average of 2.816 s per operation,which is suitable for scenarios that require a large number of temperature field calculations.Cubic interpolation method is relatively accurate and suitable for simulation calculation of temperature field at a certain moment.