商业建筑机电设备运行规律识别研究与实证

Operation Identification of Mechanical and Electrical Equipment in Commercial Buildings Research and Empirical

本文对使用数据挖掘技术分析和商业建筑机电设备运行规律识别进行了应用研究,以12余家已开业的大型商业建筑作为机电设备运行规律识别实证案例,介绍了一套基于数据挖掘技术的商业建筑机电设设备运行规律识别的方法流程。在实际运行能耗数据的基础上,应用DBSCAN聚类、Apriori关联规则、数据统计分析方法,形成了以机电设备用能规律挖掘、用能趋势预测为基础的设备运行规律识别方法应用研究,指导建筑机电设备节能运行。

In this paper,the use of data mining technology analysis and commercial building mechanical and electrical equipment operation law identification of the application of research,more than 12 large commercial buildings have been opened as mechanical and electrical equipment operation law identification empirical case,This paper introduces a set of method flow of identifying the operation law of commercial building mechanica.Based on the actual running energy consumption data,the application of DBSCAN clustering,Apriori association rules and statistical analysis method of data,the application research of equipment operation law identification method based on energy use law mining and energy use trend prediction of electromechanical equipment is formed to guide the energy saving operation of building electromechanical equipment.