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.
引文
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