EAGER: US Ignite: Real-Time Monitoring of Air Pollution via Mobile Sensors

EAGER：US Ignite：通过移动传感器实时监测空气污染

• 批准号: 1455415
• 负责人: Michael Savoie
• 金额: $ 29.24万
• 依托单位: Utah Valley University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1455415&HistoricalAwards=false
• 关键词: EAGER; US; Ignite; Real; Time

This project creates an integrated pollution identification grid that provides detailed, real-time data on air pollution creation points. Utah Valley, like other areas of the country, experiences severe unhealthy "inversion" days, and localized air pollution "hot spots" throughout the year. These conditions cause major health problems for people living and working throughout the valley. Current air pollution monitoring utilizes a limited number of fixed sampling and data collection points with little opportunity to create control methods to reduce pollution levels in real-time as they change throughout the day. The air quality at street level is generally unknown. The project provides a system to collect real-time, interactive data on the location, time, direction, and amount of pollution created to support pollution control efforts underway by various public and private entities in the state. Mobile monitoring units and large-bandwidth wireless networks allow the data to be collected, processed, and reported in real time. With this information, air pollution hot spots can be identified and responses taken immediately to correct pollution causing conditions and improve overall air quality. The key technical elements of the project are the collection of continuous data from mobile monitoring units mounted on vehicles owned by government agencies, commercial fleets and private cars, then using high-speed wireless systems to backhaul the data to a central data center. With this information, air pollution hot spots are identified and responses taken immediately to correct pollution causing conditions and improve overall air quality.

该项目创建了一个综合污染识别网格，提供有关空气污染产生点的详细实时数据。 犹他谷与美国其他地区一样，全年都会经历严重的不健康“逆温”天和局部空气污染“热点”。这些条件给整个山谷生活和工作的人们带来了严重的健康问题。当前的空气污染监测利用数量有限的固定采样和数据收集点，几乎没有机会创建控制方法来实时降低污染水平，因为污染水平全天变化。街道空气质量普遍未知。 该项目提供了一个系统，用于收集有关污染的位置、时间、方向和数量的实时交互式数据，以支持该州各个公共和私人实体正在进行的污染控制工作。移动监控单元和大带宽无线网络可以实时收集、处理和报告数据。 有了这些信息，就可以识别空气污染热点并立即采取应对措施，以纠正造成污染的情况并改善整体空气质量。该项目的关键技术要素是从安装在政府机构、商业车队和私家车上的移动监控装置收集连续数据，然后使用高速无线系统将数据回传到中央数据中心。 利用这些信息，可以识别空气污染热点并立即采取应对措施，以纠正造成污染的情况并改善整体空气质量。