摘要
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。
Aiming at the deficiency of the common control methods used in the market, the control technology of cooling water based on fuzzy neural network algorithm is put for- ward. Through the data collection, the corresponding cooling water system control strategy under different working conditions and the best temperature of the cooling water are discov- ered, and the minimum energy consumption of the central air conditioning system is en- sured through the mechanical and electrical equipment control device,
出处
《智能建筑电气技术》
2016年第3期46-49,共4页
Electrical Technology of Intelligent Buildings
关键词
冷却水系统
节能
模糊神经网络算法
优化控制
cooling water system, energy saving, fuzzy neural network algorithm, opti-mal control
