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I-Corps: Real-Time Indoor Air Quality Monitoring System

I-Corps: Real-Time Indoor Air Quality Monitoring System
I-Corps:实时室内空气质量监测系统
批准号:
2131855
负责人:
Alexander Mamishev
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-06-01 至 2022-12-31
关键词:

项目摘要

项目成果

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中文摘要
翻译
I-Corps项目的更广泛影响/商业潜力是发展一套空气质素管理系统,透过暖气、通风及空调自动化,减少室内空气污染。拟议的项目在消费者和企业市场都有潜在的应用。室内空气质量是呼吸系统敏感和过敏人群以及空气污染严重的城市居民非常关注的问题。室内空气质量管理系统可以提高这些人的生活质量。除了消费者应用之外,拟议的项目在工作场所也有潜在的用途,即减轻空气传播疾病爆发的重要性。实时空气质量管理解决方案可以集成到现有的HVAC系统中,通过检测和消除空气污染物来帮助减少危险暴露。该项目旨在评估在节约能源成本、满足监管需求、提高工人生产率和消除空气传播病毒方面的商业潜力。I-Corps项目是一种数据驱动的干预方法,可以实时监测气溶胶浓度,并提醒用户和系统空气污染水平升高。此信息可用于启动手动或自动缓解响应。该系统由硬件和软件两部分组成。硬件组件是一个传感器网络,用于监测颗粒物(PM)、挥发性有机化合物和相关变量,如温度和湿度。在软件方面,基于网络的分析软件处理来自传感器的数据。传感器的数据可以被汇总成室内空气质量和颗粒物水平的三维地图。传感器网络使用低成本的物联网(IoT) PM传感器网格收集时间和空间分辨的气溶胶浓度数据,以评估气溶胶的持久性。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this I-Corps project is developing an air quality management system which reduces indoor air pollution through heating, ventilation, and air conditioning (HVAC) automation. The proposed project has potential applications in both consumer and enterprise markets. Indoor air quality is a great concern among individuals with respiratory sensitivities and allergies, as well as residents of cities with high levels of air pollution. An indoor air quality management system could increase the quality of life for these individuals. In addition to consumer applications, the proposed project has potential uses in workplace the importance of mitigating outbreaks of airborne disease. The real-time air quality management solution can be integrated into an existing HVAC system to help mitigate hazardous exposure by detecting and eliminating airborne contaminants. The project aims to evaluate the commercial potential in saving energy costs, addressing regulatory needs, improving worker productivity, and eliminating airborne virus transmission.This I-Corps project is a data-driven intervention method that monitors aerosol concentration in real-time and can alert users and systems about elevated levels of airborne contamination. This information can be used to initiate either a manual or automated mitigation response. The proposed system consists of hardware and software components. The hardware component is a network of sensors that monitor particulate matter (PM), volatile organic compounds, and related variables, such as temperature and humidity. On the software side, web-based analytics software processes the data from the sensors. The sensor data can be aggregated to create a 3-dimensional mapping of the indoor air quality and the particulate matter levels. The sensor network gathers time- and space-resolved aerosol concentration data using a mesh of low-cost, Internet of Things (IoT) enabled PM sensors to assess the aerosol persistence.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
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