技术中心

摘要 结合地铁车站的负荷特征，介绍了目前地铁车站集中空调系统的现状并总结了存在的不足。利用智能模糊控制方法，从空调风系统、水系统、主机群控三方面对武汉地铁四号线集中空调系统进行了整体优化控制。通过经济性分析得出，采用智能模糊控制系统后，3年内可收回初投资。 Research on energy saving control of ventilation and air conditioning system of underground railway station in Wuhan region By Zhuang Weiqian Abstract Considering the load characteristics, summarizes the current situation and deficiency in underground railway station air conditioning systems, and performs by using an intelligent fuzzy control method the optimization of integrative control from the aspects of air system, water system, and group control of refrigerating machines for Wuhan Line Forth underground railway stations. The economical analysis results show that the initial investment of the intelligent fuzzy control system can be recovered within three years. Keywords underground railway, air conditioning system, energy saving, intelligent fuzzy control