智能建筑空调末端设备数据分析与策略优化

Data Analysis and Strategy Optimization of Intelligent Building Air Conditioning Terminal Equipment

采用k均值聚类算法,对空调末端设备运行数据进行耦合性分析,通过获取设备运行的动态变化规律找寻其节能空间,并进行控制策略优化,提升其运行性能,最终达到降低智能建筑运行能耗的目的。

The coupling analysis of air conditioning terminal equipment operation data is analyzed with k⁃means clustering algorithm,the potential for energy saving is identified from the dynamic change rules of equipment operation,and the control strategies are optimized to improve the operation performance,and eventually reduce energy consumption in operation of intelligent buildings.