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空调系统的动态负荷计算及能耗分析等都要以室外逐时的干湿球温度为依据,但是,从气象台站抄取逐时气温资料的工作量非常大,且很不方便.本文介绍的用样条函数对气象台站月报表中的日四次记录进行插值求取逐时温度的方法:可以大大地减少统计资料的工作量.文中同时还与通常采用的拉格朗日插值进行了比较,结果表明,样条插值可以获得更好的逼近值.
The dynamic load calculation and energy consumption analysis of the air-conditioning system must be based on the outdoor hourly dry and wet bulb temperature. However, the workload of copying hourly air temperature data from meteorological stations is very large and inconvenient. Using the spline function to interpolate the four times daily record in the monthly report of the meteorological station to obtain the time-to-hour temperature method: The workload of statistical data can be greatly reduced. The paper also compares it with the commonly used Lagrangian interpolation. The results show that spline interpolation can obtain better approximation value.