CPS: Synergy: A Layered Framework of Sensors, Models, Land-Use Information and Citizens for Understanding Air Quality in Urban Environments

CPS：协同：传感器、模型、土地利用信息和公民的分层框架，用于了解城市环境中的空气质量

• 批准号: 1646408
• 负责人: Miriah Meyer
• 金额: $ 77.5万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1646408&HistoricalAwards=false
• 关键词: CPS; Synergy; Layered; Framework; Sensors

Poor air quality has been linked to not just adverse health effects such as increased incidence of cardiac arrhythmia, lung cancer, heart disease, and mortality, but also to the vitality of a region?s economy. These issues are particularly important in cities such as Salt Lake City (SLC), where topography, climate, and urban expansion combine to create some of the worst air quality episodes in the country. Cities like SLC currently rely on small numbers of expensive sensors placed across a large geographic area to measure air quality, making local, neighborhood-level measurements impossible to determine. Meanwhile, new commodity technologies are leading to fine-grained, community-based strategies for measuring and communicating air quality. Leveraging both of these approaches, this project will develop and deploy a dense, distributed, and dynamic air quality cyber-physical framework -- focusing on fine particulate matter and using SLC as an urban testbed -- to produce neighborhood-level estimates of air quality. The framework includes a network of low-cost sensors, hosted and maintained through a citizen science effort and maker-kit approach.This research will result in novel developments in three areas: (i) sensor development that focuses on dramatically reducing cost and a movement toward cheap, wearable, passive sensors; (ii) computational modeling that combines heterogeneous sensor measurements with information about weather, topography, and land use patterns; and (iii) visualization interface design that communicates air quality estimates over space and time, coupled with related uncertainty measurements. Each of these areas requires a multidisciplinary approach that integrates existing and novel insights about sensor networks, computational modeling, and sense-making of data, as well as leveraging an engaged and connected community of residents through citizen science.

空气质量差的不仅与不利的健康影响有关，例如心律不齐，肺癌，心脏病和死亡率的发病率增加，还与地区经济的活力有关。这些问题在盐湖城（SLC）等城市尤为重要，在盐湖城（SLC）中，地形，气候和城市扩张相结合，创造了一些最糟糕的空气质量发作。 SLC等城市目前依靠在大型地理区域上放置的少量昂贵传感器来测量空气质量，从而无法确定本地，邻里水平的测量。同时，新的商品技术导致了衡量和交流空气质量的精细，基于社区的策略。利用这两种方法，该项目将开发和部署密集，分布和动态的空气质量网络物理框架 - 专注于细颗粒物，并使用SLC作为城市测试台 - 以产生空气质量的邻里水平估计。 该框架包括一个低成本传感器的网络，该网络通过公民科学和制造商Kit方法进行了托管和维护。这项研究将在三个领域进行新的发展：（i）传感器开发的开发，该传感器的开发重点降低了成本和廉价，可穿戴，可穿戴，被动传感器的运动； （ii）将异质传感器测量与天气，地形和土地利用模式相结合的计算建模； （iii）可视化界面设计，该设计在空间和时间上传达空气质量估计，再加上相关的不确定性测量。这些领域中的每个领域都需要一种多学科的方法，该方法将有关传感器网络，计算建模和数据制定的现有和新颖的见解整合在一起，并通过公民科学利用了参与和联系的居民社区。

项目成果

WIP: Engaging Pre-college Students in Hypothesis Generation Using a Citizen Scientist Network of Air Quality Sensors

WIP：利用公民科学家空气质量传感器网络让大学预科生参与假设生成

• DOI: 10.18260/1-2--35538
• 发表时间: 2020
• 期刊: Engaging pre-college students in hypothesis generation using a citizen scientist network of air quality sensors
• 作者: Moore, James;Dailey, Matthew;Wilhelm, Zachary;Kelly, Kerry;Goffin, Pascal;Butterfield, Anthony;Wiese, Jason;Xing, Wei;Le, Katrina;Becnel, Thomas
• 通讯作者: Becnel, Thomas

A Distributed Low-Cost Pollution Monitoring Platform

• DOI: 10.1109/jiot.2019.2941374
• 发表时间: 2019-12-01
• 期刊: IEEE INTERNET OF THINGS JOURNAL
• 影响因子: 10.6
• 作者: Becnel, Thomas;Tingey, Kyle;Gaillardon, Pierre-Emmanuel
• 通讯作者: Gaillardon, Pierre-Emmanuel

A Recursive Approach to Partially Blind Calibration of a Pollution Sensor Network

• DOI: 10.1109/icess.2019.8782523
• 发表时间: 2019-01-01
• 期刊: 2019 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS)
• 作者: Becnel, Thomas;Sayahi, Tofigh;Gaillardon, Pierre-Emmanuel
• 通讯作者: Gaillardon, Pierre-Emmanuel

Building Air Quality Sensors & Inspiring Citizen Scientists

构建空气质量传感器

• 发表时间: 2018
• 期刊: Chemical engineering education
• 作者: Le, K.;Tingey, K.;Becnel, T.;Giallardon, P.;Butterfield, T
• 通讯作者: Butterfield, T

Patterns of distributive environmental inequity under different PM2.5 air pollution scenarios for Salt Lake County public schools

• DOI: 10.1016/j.envres.2020.109543
• 发表时间: 2020-07-01
• 期刊: ENVIRONMENTAL RESEARCH
• 影响因子: 8.3
• 作者: Mullen, Casey;Grineski, Sara;Kelly, Kerry
• 通讯作者: Kelly, Kerry