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Design and Implementation of an IoT-Enabled Remote Air Quality Monitoring System for Ambient Air Quality Assessment
* 1 , 2 , 1 , 1
1  MS. Scholar in USPCAS-W, MUET
2  Assistant Professor in USPCASW, MUET
Academic Editor: Anthony Lupo

https://doi.org/10.3390/ecas2023-16689 (registering DOI)
Abstract:

Today, many advanced systems and techniques are available to monitor ambient air quality, but these systems are not accessible by every nation in the world. Pakistan is fifth most populated country in the world with population of around 212.2 million which require huge quantity of industrial resources and causes air pollution, which need a great attention by the nation but due to lack of data, knowledge, and supervision the air quality of Pakistan is getting worse. To remove this obstacle in data monitoring an innovative, cutting-edge, and emerging technology is proposed (SMS Air Quality Monitoring System) which monitors the ambient air quality remotely. The system consists of 3 sensors (MQ-135, DHT-11, and Gp2y1010au0f) which monitor CO, CO2, PM10 & PM2.5, Temperature and Humidity present in surrounding and transfer this data towards the microprocessor which analyze the data and transmit the data on thing speak channel named (SMS Air Quality Monitoring System) where the graphs are generated separately for each parameter between time and concentration in their respective unit (PPM, mg/m3, and oC). In this study the air quality of Jamshoro city was determined by selecting two sites “Main gate of MUET” and “Phase one Residential society” which revealed that the concentration of Particulate matter, CO, and CO2 were exceeding the WHO and NAAQS standards.

Keywords: IoT, WSN, Air Quality, Air pollution monitoring, Pakistan, PM10 & PM2.5 and Gas detectors.

 
 
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