Ambient Air Monitoring System with Adaptive Performance Stability

Air pollution is a significant concern in this era. Pollutants released in large quantities can cause environmental damage and human health problems. The existing monitoring systems are highly precise and sensitive, but they require high laboratory analysis and operational costs. To overcome these p...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.1-1
Main Authors: Purbakawaca, R., Yuwono, A.S., Subrata, I.D.M., Supandi, Alatas, H.
Format: Article
Language:English
Subjects:
Adaptive algorithm
Adaptive algorithms
Adaptive systems
Air monitoring
Air pollution
air pollution monitoring
Air quality
air quality monitoring
Airports
Algorithms
Cellular communication
Cost analysis
Data transmission
Environmental monitoring
Gas detectors
Graphical user interface
low-cost sensors
Metal oxides
Microcontrollers
Monitoring
Monitoring systems
Nitrogen dioxide
Outdoor air quality
Particulate emissions
Pollutants
Pollution measurement
Pollution monitoring
Rechargeable batteries
Sensor systems
Sensors
Service modules
Signal strength
Sulfur dioxide
Temperature sensors
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Summary:Air pollution is a significant concern in this era. Pollutants released in large quantities can cause environmental damage and human health problems. The existing monitoring systems are highly precise and sensitive, but they require high laboratory analysis and operational costs. To overcome these problems, an air quality monitoring system is proposed as an alternative solution that can complement the current system. This study aimed to design an inexpensive air quality monitoring system using metal oxide sensors to measure the concentrations of carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter (PM) using laser diffraction, microcontroller, and General Packet Radio Service (GPRS) module. The Air Quality IPB Monitoring System (AQIMoS) is powered by a rechargeable battery that is supplied by either a solar panel or AC power supply. AQIMoS is equipped with an information system, namely, a server and a graphical user interface, to receive data, calculate the air pollutant standard index (ISPU), and access data. This study also developed an algorithm to reduce packet loss in cellular network-based transmissions. This algorithm allows AQIMoS to perform repeated data transmissions and extend response waiting times according to a received signal strength indicator (RSSI). The test results show that the developed algorithm can reduce packet loss by 9.8-11.6 % in medium/bad conditions (MB, signal < 50%). The AQIMoS test was carried out in a traffic-heavy area about 2 km from Atang Senjaya Airport with moderate air quality.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3222329