An Intelligent IEQ Monitoring and Feedback System: Development and Applications

计算机科学 实时计算 图形用户界面 样品(材料) 接口(物质) 光学(聚焦) 模拟 人机交互 环境科学 程序设计语言 化学 并行计算 气泡 最大气泡压力法 物理 光学 色谱法
作者
Geng Yang,Zhongchen Zhang,Jian Yu,Hongzhong Chen,Hao Zhou,Borong Lin,Weimin Zhuang
出处
期刊:Engineering [Elsevier]
卷期号:18: 218-231 被引量:10
标识
DOI:10.1016/j.eng.2021.09.017
摘要

Indoor environmental quality (IEQ) significantly affects human health and wellbeing. Therefore, continuous IEQ monitoring and feedback is of great concern in both the industrial and academic communities. However, most existing studies only focus on developing sensors that cost-effectively promote IEQ measurement while ignoring interactions between the human side and IEQ monitoring. In this study, an intelligent IEQ monitoring and feedback system—the Intelligent Built Enviroment (IBEM)—is developed. Firstly, the IBEM hardware instrument integrates air temperature, relative humidity, CO2, particulate matter with an aerodynamic diameter no greater than 2.5 μm (PM2.5), and illuminance sensors within a small device. The accuracy of this integrated device was tested through a co-location experiment with reference sensors; the device exhibited a strong correlation with the reference sensors, with a slight deviation (R2 > 0.97 and slopes between 1.01 and 1.05). Secondly, a wireless data transmission module, a cloud storage module, and graphical user interfaces (i.e., a web platform and mobile interface) were built to establish a pathway for dataflow and interactive feedback with the occupants of the indoor environments. Thus, the IEQ parameters can be continuously monitored with a high spatiotemporal resolution, interactive feedback can be induced, and synchronous data collection on occupant satisfaction and objective environmental parameters can be realized. IBEM has been widely applied in 131 buildings in 18 cities/areas in China, with 1188 sample locations. Among these applications, we report on the targeted IEQ diagnoses of two individual buildings and the exploration of relationships between subjective and objective IEQ data in detail here. This work demonstrates the great value of IBEM in both industrial and academic research.
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