移动终端的建筑典型人流数据生成和在能耗模拟中的应用分析
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摘要
介绍了典型人流数据生成方法,通过移动终端定位获取逐时人流数据,结合既有知识构建人流信息数据库,采用k-means聚类的方法对建筑人流数据进行分析,提取了典型人流数据。结合某办公建筑的模拟案例,分析了典型人流数据的应用前景。
The extracting method of typical occupancy data from real-time occupancy data collected by mobile devices was introduced. Combining by the existing knowledge,the occupancy information database was built. The kmeans algorithm is employed to make the cluster analysis of occupancy data in different buildings,and the typical occupancy data was extracted. Combining by an energy simulation case of office building,the effectiveness of typical occupancy data was demonstrated.
The extracting method of typical occupancy data from real-time occupancy data collected by mobile devices was introduced. Combining by the existing knowledge,the occupancy information database was built. The kmeans algorithm is employed to make the cluster analysis of occupancy data in different buildings,and the typical occupancy data was extracted. Combining by an energy simulation case of office building,the effectiveness of typical occupancy data was demonstrated.
引文
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[2] DUARTE C,WYMELENBERG K V D,RIEGER C. Revealing occupancy patterns in an office building through the use of occupancy sensor data[J]. Energy&Buildings,2013,67(4):587-595.
[3] HALL I J,PRAIRIE R R,ANDERSON H E,et al. Generation of a typical meteorological year[C]. Analysis for solar heating and cooling,San Diego,CA,USA,1978.
[4] STOCKI M,CURCIJA D C,BHANDARI M S. The development of standardized whole building simulation assumptions for energy analysis for a set of commercial buildings(draft May 31 2005)[G].Amherst,MA:University of Massachusetts,2005.
[5] DERU M,FIELD K,STUDER D,et al. U. S.department of energy commercial reference building models of the national building stock[G]. National Renewable Energy Laboratory,2011.
[6] HAN J,KAMBER M,PEI J.数据挖掘:概念与技术[M]. 3版.范明,孟小峰,译.北京:机械工业出版社,2012.