中央空调系统的数据分析与最优控制策略

本文根据某热带城市一套中央空调系统采集的数据,首先,利用多元线性回归分析建立了系统效率、耗电量与可控变量和不可控变量的函数关系。然后,利用二元逻辑回归分析建立了冷却装置的状态变量与外部环境温度、湿度及冷却负载之间的二元逻辑回归模型。最后,建立最优化模型,利用Lingo求得所有可控变量的最优控制策略及系统总耗电量,并计算出相应的系统效率。

Based on the data collected from a set of central air-conditioning system in a tropical city,the analysis is made for multiple linear regression analysis and binary logic regression by using spss,and probability models of the system power consumption function,the system efficiency function and the state variables of the cooling device are established respectively,and the reliability of the model are tested.Then,the optimal model of the total power consumption of the system establish,using Lingo to obtain the state variable value policy and the total power consumption of the system and calculating the corresponding system efficiency.