Indoor Air Quality Monitoring (IAQ): A Low-Cost Alternative to CO$$_{2}$$ Monitoring in Comparison to an Industry Standard Device

2018 ◽  
pp. 1010-1027
Author(s):  
Darshana Thomas ◽  
Bhumika Mistry ◽  
Steven Snow ◽  
M. C. Schraefel
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Standard Device ◽  
Industry Standard

Recent advancements in low-cost portable sensors for urban and indoor air quality monitoring

2021 ◽  
Author(s):  
A. Hernández-Gordillo ◽  
S. Ruiz-Correa ◽  
V. Robledo-Valero ◽  
C. Hernández-Rosales ◽  
S. Arriaga
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Portable Sensors

Development of low-cost indoor air quality monitoring devices: Recent advancements

2020 ◽  
Vol 727 ◽  
pp. 138385 ◽  
Author(s):  
H. Chojer ◽  
P.T.B.S. Branco ◽  
F.G. Martins ◽  
M.C.M. Alvim-Ferraz ◽  
S.I.V. Sousa
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Devices

Development of a low-cost air sensor package and indoor air quality monitoring in a California middle school: Detection of a distant wildfire

2019 ◽  
Vol 69 (9) ◽  
pp. 1015-1022 ◽  
Author(s):  
Ajith P. Kaduwela ◽  
Amal P. Kaduwela ◽  
Ely Jrade ◽  
Matthew Brusseau ◽  
Sean Morris ◽  
...  
Keyword(s):  
Middle School ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Sensor Package

scholarly journals Indoor Air Quality Monitoring Sensor for the Web of Things

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1466 ◽  
Author(s):  
Daniel Ibaseta ◽  
Julio Molleda ◽  
Fidel Díez ◽  
Juan C. Granda
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Quality Monitoring ◽  
The Internet ◽  
Air Quality Monitoring ◽  
Web Of Things ◽  
Web Standards ◽  
The Web

Many Internet of Things platforms use dedicated software coupled with proprietary devices and interfaces, creating silo solutions with no interoperability. The Web of Things paradigm promotes using open Web standards to connect physical objects to the Internet through an application layer. In this paper, we propose a low-cost, indoor air quality monitoring sensor implementing a minimal servient building block recommended by the Web of Things Working Group of the World Wide Web Consortium. The proposed sensor runs a Web server on a low-power system-on-chip microcontroller, which provides temperature, relative humidity and carbon dioxide measurements to the Internet through a REST API. Any client on the Internet able to manage the HTTP protocol may access this sensor, making it compatible with any air quality monitoring platform that uses HTTP.

Development of a low-cost, real-time, telemetric, continuous residential indoor air quality monitoring system: progress and lessons learned

2013 ◽  
Vol 2013 (1) ◽  
pp. 4173 ◽  
Author(s):  
Ellen Wells ◽  
Donald Moore ◽  
Marcia Nishioka ◽  
Jeno Mozes ◽  
Kenneth A. Loparo ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Indoor Air ◽  
Low Cost ◽  
Lessons Learned ◽  
Quality Monitoring ◽  
Air Quality Monitoring

scholarly journals Low Cost, Multi-Pollutant Sensing System Using Raspberry Pi for Indoor Air Quality Monitoring

2021 ◽  
Vol 13 (1) ◽  
pp. 370
Author(s):  
He Zhang ◽  
Ravi Srinivasan ◽  
Vikram Ganesan
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Office Building ◽  
Quality Monitoring ◽  
Raspberry Pi ◽  
Air Quality Monitoring ◽  
Residential Unit ◽  
Pm2.5 And Pm10

Deteriorating levels of indoor air quality is a prominent environmental issue that results in long-lasting harmful effects on human health and wellbeing. A concurrent multi-parameter monitoring approach accounting for most crucial indoor pollutants is critical and essential. The challenges faced by existing conventional equipment in measuring multiple real-time pollutant concentrations include high cost, limited deployability, and detectability of only select pollutants. The aim of this paper is to present a comprehensive indoor air quality monitoring system using a low-cost Raspberry Pi-based air quality sensor module. The custom-built system measures 10 indoor environmental conditions including pollutants: temperature, relative humidity, Particulate Matter (PM)2.5, PM10, Nitrogen dioxide (NO2), Sulfur dioxide (SO2), Carbon monoxide (CO), Ozone (O3), Carbon dioxide (CO2), and Total Volatile Organic Compounds (TVOCs). A residential unit and an educational office building was selected and monitored over a span of seven days. The recorded mean PM2.5, and PM10 concentrations were significantly higher in the residential unit compared to the office building. The mean NO2, SO2, and TVOC concentrations were comparatively similar for both locations. Spearman rank-order analysis displayed a strong correlation between particulate matter and SO2 for both residential unit and the office building while the latter depicted strong temperature and humidity correlation with O3, SO2, PM2.5, and PM10 when compared to the former.

Green Energy Based Low Cost Smart Indoor Air Quality Monitoring and Purifying System

2020 ◽  
pp. 121-127
Author(s):  
Madhurima Chattopadhyay ◽  
Neha Surbhi ◽  
Jaynee Rawal ◽  
Shahla Khursheed ◽  
Sakshi Agarwal ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Green Energy ◽  
Quality Monitoring ◽  
Air Quality Monitoring
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