针对目前市场上常用节能控制方法的不足,提出了基于模糊神经网络算法的冷却水优化控制技术。通过全面数据采集,找出不同工况点下对应的冷却水系统控制策略,寻找冷却水最佳温度,并通过机电设备控制装置保证整个中央空调系统能耗最低。 In view of the shortage of the commonly used energy-saving control methods on the market at present, the optimization control technology of cooling water based on fuzzy neural network algorithm is proposed. Through comprehensive data acquisition, find the corresponding cooling water system control strategy under different operating conditions, find the optimal cooling water temperature, and ensure the lowest energy consumption of the entire central air conditioning system through the mechanical and electrical equipment control device.