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Real-Time Monitoring of Indoor Air Quality with Internet of Things-Based E-Nose
- Source :
- Applied Sciences, Volume 9, Issue 16, Applied Sciences, Vol 9, Iss 16, p 3435 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- Today, air pollution is the biggest environmental health problem in the world. Air pollution leads to adverse effects on human health, climate and ecosystems. Air is contaminated by toxic gases released by industry, vehicle emissions and the increased concentration of harmful gases and particulate matter in the atmosphere. Air pollution can cause many serious health problems such as respiratory, cardiovascular and skin diseases in humans. Nowadays, where air pollution has become the largest environmental health risk, the interest in monitoring air quality is increasing. Recently, mobile technologies, especially the Internet of Things, data and machine learning technologies have a positive impact on the way we manage our health. With the production of IoT-based portable air quality measuring devices and their widespread use, people can monitor the air quality in their living areas instantly. In this study, e-nose, a real-time mobile air quality monitoring system with various air parameters such as CO2, CO, PM10, NO2 temperature and humidity, is proposed. The proposed e-nose is produced with an open source, low cost, easy installation and do-it-yourself approach. The air quality data measured by the GP2Y1010AU, MH-Z14, MICS-4514 and DHT22 sensor array can be monitored via the 32-bit ESP32 Wi-Fi controller and the mobile interface developed by the Blynk IoT platform, and the received data are recorded in a cloud server. Following evaluation of results obtained from the indoor measurements, it was shown that a decrease of indoor air quality was influenced by the number of people in the house and natural emissions due to activities such as sleeping, cleaning and cooking. However, it is observed that even daily manual natural ventilation has a significant improving effect on air quality.
- Subjects :
- smart home
Air pollution
02 engineering and technology
010501 environmental sciences
medicine.disease_cause
lcsh:Technology
01 natural sciences
lcsh:Chemistry
Indoor air quality
Home automation
0202 electrical engineering, electronic engineering, information engineering
medicine
General Materials Science
Mobile technology
e-nose
lcsh:QH301-705.5
Instrumentation
Air quality index
0105 earth and related environmental sciences
Fluid Flow and Transfer Processes
lcsh:T
business.industry
Process Chemistry and Technology
General Engineering
020206 networking & telecommunications
Natural ventilation
Particulates
Environmental economics
internet of things
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Controller (irrigation)
Environmental science
ESP32
lcsh:Engineering (General). Civil engineering (General)
business
lcsh:Physics
indoor air quality
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....265be62afed8f30affe9d3020caef3a2
- Full Text :
- https://doi.org/10.3390/app9163435