基于数据挖掘技术的地铁站环控系统用能诊断  

Energy Consumption Diagnosis Method based on Data Mining Technology in HVAC System in Subway Stations

作　　者：刘佳慧 龙静[2] 潘志刚[2] 陈焕新[1] 刘江岩[1] 黄荣庚 李正飞 Liu Jiahui;Long Jing;Pan Zhigang;Chen Huanxin;Liu Jiangyan;Huang Ronggeng;Li Zhengfei(Department of Refrigeration ＆ Cryogenics, Huazhong University of Science and Technology, Wuhan, 430074, China;Guangzhou Metro Corporation, Guangzhou,510030, China)

机构地区：[1]华中科技大学制冷及低温工程系,武汉430074 [2]广州市地下铁道总公司,广州510030

出　　处：《制冷学报》2018年第3期1-6,共6页Journal of Refrigeration

基　　金：国家自然科学基金(51576074;51328602)资助项目;华中科技大学自主创新研究基金(5003120005)项目资助~~

摘　　要：本文提出了一种地铁站环控系统用能诊断方法,通过数据挖掘技术建立评价模型来评价地铁环控系统的用能特性。首先,通过相关性分析,确定影响地铁环控系统能耗的关键变量:室外温度、客流量;其次,根据所选取的关键变量,采用决策树划分不同的用能模式,进而根据各个模式建立相应的的用能基准;最后,根据不同模式的用能基准对地铁环控系统实际运行数据进行用能诊断。诊断结果表明:环境和客流的变化会引起用能水平的波动,但仍然贴近用能基准。该用能诊断方法能够诊断地铁站用能、识别异常用能模式和识别低能耗的用能模式,有助于地铁站运营漏洞、故障排查和环控模式优化,为单个地铁站的节能工作提供理论依据和实际参考。This paper proposes an energy consumption diagnosis method and establishes an evaluation model based on data mining tech-nology to evaluate the condition of energy utilization of HVAC system in subway stations. Firstly,through the correlation analysis,the key variables that influence the energy consumption of the subway environmental control system are determined ： outdoor temperature and pas -senger flows. Then,according to the selected key variables,different energy utilization modes are generated by using the decision tree and after that the energy benchmark is established on the basis of the energy consumption models. Finally, an energy consumption diagnosis method based on the energy benchmark of different energy utilization models is used in actual data of HVAC system. The results of energy consumption diagnosis show that energy levels can be influenced by the change of environment and passenger flow but still conform to ener-gy benchmark. This energy consumption diagnosis method can diagnose the condition of energy utilization and recognize models of abnor-mal or low energy consumption, which can optimize energy utilization and provide a theoretical basis and practical reference value for the energy saving a of single subway station.

关 键 词：数据挖掘 地铁环控系统 用能诊断 能耗等级 节能优化 

分 类 号：TU831.3[建筑科学—供热、供燃气、通风及空调工程] TP306.3[自动化与计算机技术—计算机系统结构]