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

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:
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
项目状态:
已结题
起止时间:
2014-10-01 至 2017-04-30
关键词:

项目摘要

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中文摘要
翻译
该项目创建了一个综合污染识别网格,提供空气污染产生点的详细实时数据。像美国其他地区一样,犹他谷全年都经历着严重的不健康的“逆温”日,以及局部的空气污染“热点”。这些情况给整个山谷生活和工作的人们造成了严重的健康问题。目前的空气污染监测利用有限数量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减少污染水平,因为它们全天都在变化。街道上的空气质量通常是未知的。该项目提供了一个系统,可以收集有关污染的位置、时间、方向和数量的实时交互式数据,以支持该州各种公共和私营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。有了这些资料,我们便可识别空气污染热点,并立即采取措施,纠正造成污染的情况,改善整体空气质素。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中收集连续数据,然后使用高速无线系统将数据回传到中央数据中心。有了这些资料,我们便可识别空气污染热点,并立即采取措施,纠正造成污染的情况,改善整体空气质素。
英文摘要
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.
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