基于BAS数据挖掘的空调运行节能优化  

Energy-saving Optimization of Operation Strategy on HVAC Unit Based on BAS Data Mining Technology

作　　者：包仁标 马小军[1] 张超[1] 

机构地区：[1]南京工业大学电气工程与控制科学学院,江苏南京211816

出　　处：《现代建筑电气》2016年第8期48-52,58,共6页Modern Architecture Electric

摘　　要：运用数据挖掘技术中的聚类分析方法对楼宇自控系统(BAS)存储的设备运行数据进行分析。结合南京某档案馆实例,采用数据分析软件SPSS对暖通空调(HVAC)的运行数据进行了聚类分析,得出年采样周期时间段内设备运行的聚类结果,并根据实际的能耗数据,提出了合理的优化策略,以指导物业人员调整设备运行时间,降低了建筑能耗。This paper analyzed the storage equipment operation data of building automation system（ BAS） by using the clustering method of data mining technology. Combining by Nanjing Archives,the operating data of heating ventilation air conditioning（ HVAC） were analyzed by using data analysis software SPSS. The clustering results of devices were obtained in sampling period. According to the actural energy consumption data,the reasonable optimization strategy was proposed,which directs the property personnel to adjust the equipment running time and reduces the building energy consumption.

关 键 词：楼宇自控系统 数据挖掘 聚类分析 空调机组 节能 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TU83[自动化与计算机技术—计算机科学与技术]