An IoT-based Scheme for Real Time Indoor Personal Exposure Assessment

被引：0

作者：

Fathallah, Houssem Eddine ^{[1
,2
]}

Lecuire, Vincent ^{[1
]}

Rondeau, Eric ^{[1
]}

Le Calve, Stephane ^{[2
]}

机构：

[1] Univ Lorraine, CRAN, UMR 7039, Nancy, France

[2] Univ Strasbourg, ICPEES, UMR 7515, Strasbourg, France

来源：

2016 13TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | 2016年

关键词：

component; Air quality; sensor networks; Internet of Things; personal exposure; real time monitoring;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Air pollution is an important environmental issue that has a direct effect on human health. In this paper the development of an Internet of Things-based system for real time indoor personal exposure monitoring is described. The system was tested for real time personal exposure assessment to formaldehyde and CO2 air pollutants. It provides accurate and real time personal exposure assessment. The real time and continuous monitoring capability makes it possible to better predict worker health risks and protect them from occupational overexposure to air pollution.

引用

页数：2