摘要
选择某高校图书馆阅览室为实验样本,以室内气候性能与使用者行为心理模式的交互影响机制为指向,探究了一种从数据采集、整理和分析到设计改进的优化设计流程。借助高精度室内定位系统及无线传感网络,对阅览行为、室内照度、温湿度等物理参数进行精细粒度的采样。通过对采样数据的可视化及统计分析,挖掘不同环境条件下的行为偏好和规律,结合数字调查问卷,发现既有空间布局的不足。在此基础上提出流线、功能布局等设计层面的改进策略,并对阅览室空间进行了设计优化。
To study the interactive mechanism between the indoor environment and its behaviors, this paper introduces an optimization design process which consists of data collection, data management and design refinement,taking a library reading space as an experimental sample. By means of high precision indoor localization systems and wireless sensor network,data of indoor behavior, illumination, temperature and humidity are collected in fine granularity. By visualizing and analyzing these data and combining with online questionnaires, correlations between different environments and behavior patterns, and design flaws in existing layouts are found. According to these results, improvement strategies including the organization of flow lines and function layouts are proposed to optimize the existing reading environment.
作者
李力
韩冬青
董嘉
LI Li;HAN Dongqing;DONG Jia
出处
《建筑技艺》
2019年第1期62-65,共4页
Architecture Technique
基金
国家重点研发计划"地域气候适应型绿色公共建筑设计新方法与示范"(2017YFC0702300)之课题"具有气候适应机制的绿色公共建筑设计新方法"(2017YFC0702302)资助
课题组成员:韩冬青
石邢
唐芃
李力
董嘉等
国家自然科学基金"基于用户行为模式挖掘的建筑使用效能研究"(51808104)资助
课题组成员:李力
虞刚
阳媛
钱敬平等
关键词
室内环境
使用者行为
数据采集
可视化分析
适应性设计
indoor environment
occupant behavior
data collection
data visualization
adaptive design
