GASP: Geolocated Allergen Sensing Platform

GASP：地理定位过敏原传感平台

• 批准号: 1541227
• 负责人: David Lary
• 金额: $ 15万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-15 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541227&HistoricalAwards=false
• 关键词: GASP; Geolocated; Allergen; Sensing; Platform

A wide range of health outcomes is affected by air pollution. In March 2014 the World Health Organization (WHO) released a report that in 2012 alone, a staggering 7 million people died as a result of air pollution exposure, one in eight of total global deaths. A major component of this pollution is airborne particulate matter, with approximately 50 million Americans have allergic diseases.This project will develop and field the first integrated IoT in-situ sensor package tracking pollution and pollen to provide airborne particulate mapping for Chattanooga. Longer term it is hoped that the data collection approach and initial visualization tools developed in Chattanooga can be used to support a nationwide, open access dissemination platform on the order of Google's StreetView, but called PollutionView. Such scaling of the project's pilot results through a PollutionView tool will contribute significantly to a transformation of the Environmental Public Health field in the United States. The project involves real-time big data analysis at a fine-grain geographic level. This will involve trades with sensing and computing especially if the sensor package is to be deployed at scale. The project will help determine if real-time allergen collection and visualization can improve health and wellness. Thus, this project will combine Cyber Physical Systems (CPS) and gigabit networks to address major health concerns due to air pollution. A working demonstration of this project will be presented during the Global City Teams meeting in June 2015 with an update in June 2016. Airborne particulate matter particularly affects the citizens of Chattanooga, TN. The objectives of this project are twofold: first, to develop and deploy an array of Internet of Things (IoT) in-situ sensors within Chattanooga capable of comprehensively characterizing air quality in real time, including location, temperature, pressure, humidity, the abundance of 6 criterion pollutants (O3, CO, NO, NO2, SO2, and H2S), and the abundance of airborne particulates (10-40 µm), both pollen-sized and smaller PM2.5 (2.5 µm) particles; and second, to have a pollen validation campaign by deploying an in-situ pollen air sampler in Chattanooga to identify specific pollen types.

空气污染影响了广泛的健康结果。 2014年3月，世界卫生组织（WHO）发布了一份报告，仅在2012年，由于空气污染的暴露，有700万人丧生，全球死亡人数中有八分之一。这种污染的主要组成部分是空气中的颗粒物，大约有5000万美国人患有过敏性疾病。该项目将开发和实施第一个集成的IoT Iot It in Itu intus intus intutu sensor套件跟踪污染和花粉，以为Chattanooga提供空中的特定映射。从长远来看，希望在查塔努加开发的数据收集方法和初始可视化工具可用于在Google的StreetView订单上支持全国性的开放访问传播平台，但称为CollutionView。通过污染视图工具对项目试点结果的这种扩展将对美国环境公共卫生领域的转变产生重大贡献。该项目涉及在细粒地理水平上实时大数据分析。这将涉及具有敏感性和计算的交易，尤其是在将传感器包进行大规模部署的情况下。该项目将有助于确定实时过敏原收集和可视化是否可以改善健康和健康。这是该项目将结合网络物理系统（CPS）和千兆网络，以解决由于空气污染引起的主要健康问题。 2015年6月的全球城市团队会议上，将在2016年6月的全球城市团队会议期间进行一次工作证明。机载特有物质特别影响田纳西州查塔努加的公民。该项目的目标是双重的：首先，在查塔努加内开发和部署一系列物联网（IoT）的原位传感器（IoT），能够全面地实时表征空气质量，包括位置，温度，压力，湿度，6个标准污染物的丰富度（O3，co，no，no，so，SO2，SO2，so2和H2s），以及Aim2和H2s and H2s and H2s of 2 s of 2 and and H2s，and H2s of Abund， µm），花粉大小和较小的PM2.5（2.5 µm）颗粒；其次，通过在查塔努加（Chattanooga）部署原位花粉空气采样器来确定特定的花粉类型来进行花粉验证活动。