建筑用户行为数据中的知识发现  

THE KNOWLEDGE DISCOVERY IN INDOOR OCCUPANT BEHAVIOR DATABASE

作　　者：李力[1] 虞刚[1] Li Li ;Yu Gang

机构地区：[1]东南大学建筑学院运算与应用研究所

出　　处：《城市建筑》2018年第19期37-39,共3页Urbanism and Architecture

基　　金：国家重点研发计划课题资助(编号:2017YFC0702302)

摘　　要：建成环境中的用户行为对建筑的实际使用效能具有决定性的影响,是建筑全生命周期能耗中除建筑材料、设备性能等客观条件之外最重要的主观影响因素。然而,对用户行为的研究长期受制于观测手段和分析方法的缺失,并未达到其应有的研究深度。随着用户行为监测技术及数据挖掘算法的日趋成熟,大量的观测数据及其处理方法为研究者提供了将跨学科技术应用于建筑设计领域的可能性。本文结合现有案例及作者自身实践,在用户行为的数据采集、数据处理及知识发现三个方面梳理了建筑用户行为研究的主要流程与关键技术。Indoor occupant behavior in the built environment,which has a decisive influence on the actual energy efficiency,is the most important subjective influencing factor besides objective conditions such as construction materials and equipment performance in the whole life cycle energy consumption of the building.However,the study of occupant behavior has always been restricted due to the lack of both observation and data analysis technology for a long time.With the advance of behavior monitoring technology and data mining algorithms,vast number of observation data and its processing methods provide researchers with the possibility to apply interdisciplinary technologies in the field of architecture design.This paper makes an overall introduction of the three main steps and key methods of data collection,data processing and knowledge discovery of user behavior,by providing typical cases and the author's own practice.

关 键 词：用户行为 室内定位 知识发现 数据挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]