智能建筑空调末端设备数据分析与策略优化*

刘文霞 王东林 吴闻婧 曲辰飞（天津市建筑设计研究院有限公司，天津市 300074）

Data Analysis and Strategy Optimization of Intelligent Building

Air Conditioning Terminal Equipment *

LIU Wenxia WANG Donglin WU Wenjing QU Chenfei

(Tianjin Architecture Design Institute Co.,Ltd.,Tianjin 300074，China)

Abstract： 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.

Key words：intelligent building;air conditioning terminal equipment;operation data;operational mode；coupling analysis;clustering algorithm;control strategy；optimization

摘　要：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。

关键词：智能建筑；空调末端设备；运行数据；运行模式；耦合性分析；聚类算法；控制策略；优化

中图分类号：TU831    　　　　   文献标识码：A

doi：10.3969 / j. issn.1003 － 8493.2021.05.008