SGER: A Smart Indoor Air Quality Sensor Network

[0549959 . pi]金文德大学在本项目中，设计并实现了一个智能室内空气质量（IAQ）传感器网络。所提出的室内空气质量传感器网络由提供室内气体污染物、颗粒污染物和生物气溶胶污染物长期连续测量的传感器组成。将探讨综合室内空气质量传感器网络的设计和评估方法。数据收集和分析方法将被检查。本研究的创新点包括：1)系统地研究如何设计和评估下一代综合室内空气质量传感器网络；2)构建和实施智能室内空气质量传感器网络，该网络包括实际建筑物中的各种室内空气质量传感器，为相关研究团体提供长期实时室内空气质量测量，并展示下一代室内空气质量传感器网络概念。所进行的研究将为工业界如何设计、实施和评估下一代室内空气质量传感器网络提供指导。收集到的现场数据将进一步帮助研究协会在以下方面：1)下一代建筑通风/净化系统的设计和控制策略；2)室内空气质量模型验证；3)人类健康和生产力相关研究；4)减轻多种灾害、应急和备灾。拟议的研究涉及美国和中国之间的国际合作。这是一个SGER项目。

Abstract0549959PI: Jin WenDrexel UniversityIn this project a smart indoor air quality (IAQ) sensor network is will be designed and implemented in a real gym building in this project. The proposed IAQ sensor network consists of sensors that supply long-term continuous measurements for indoor gas pollutants, particle pollutants, and bio-aerosol pollutants. The design and evaluation methodologies for a comprehensive IAQ sensor network will be explored. The data collection and analysis methods will be examined. The innovation of the proposed study include: 1) systematically examine how to design and evaluate the next generation comprehensive IAQ sensor network; and 2) construction and implementation of a smart IAQ sensor network which includes large variety of IAQ sensors in a real building to supply long-term real time IAQ measurements for the relevant research society and to demonstrate the next generation IAQ sensor network concept. The research undertaken would provide guidance to the industry about how to design, implement, and evaluate next generation IAQ sensor network. The collected field data would further assist the research society in the following areas: 1) Next generation building ventilation/decontamination system design and control strategies; 2) IAQ model validation; 3) Human health and productivity related research; and 4) Multi-hazard mitigation, emergency response and disaster preparation. The proposed research involves international collaboration between the United States and China. This is a SGER project.