【作者】 王政； 韩宁；

【Author】 WANG Zheng,HAN Ning (School of Technology,Beijing Forestry University,Beijing 100083,China)

【机构】 北京林业大学 工学院；

【摘要】 针对VAV空调系统控制参数多,各参数之间耦合性强,模型不易建立的问题,通过对VAV空调系统采集的数据进行预处理,应用数据挖掘中关联分析方法提取各参数背后隐藏的有用知识,获取各参数与AHU送风温度之间的关联度,寻求VAV空调系统AHU建模所需的参数,并利用神经网络建立模型,验证建模方法的合理性。实验结果证明了这种建模方法的有效性。更多还原

【Abstract】 VAV air conditioning system has characteristic of lagging,inertia,slow time-varying and a lot of links and parameters coupling,which cause the modeling complex.It is economical value to simulate all system for reducing the energy consumed by air-condition.The relationships between the supply air temperature and the other variables of air conditioning system were analyzed using association analysis.In addition,an air handling unit(AHU) model was made by neural network with the parameter concluded by data mining in order to verify it.The study provides new idea and technical support for AHU modeling of VAV air conditioning system and provides the foundation of control-simulation in computer for artificer.更多还原