A Low-Cost IoT-Enabled Device for Real-Time Air Quality Monitoring System

With the swift growth in commerce and transportation in the modern civilization, much attention has been paid to air quality monitoring, however existing monitoring systems are unable to provide sufficient spatial and temporal resolutions of the data with cost efficient and real time solutions. In this paper we have investigated the issues, infrastructure, computational complexity, and procedures of designing and implementing real-time air quality monitoring systems. To daze the defects of the existing monitoring systems and to decrease the overall cost, this paper devised a novel approach to implement the air quality monitoring system, employing the edge-computing based Internet-of-Things (IoT). In the proposed method, sensors gather the air quality data in real time and transmit it to the edge computing device that performs necessary processing and analysis. The complete infrastructure & prototype for evaluation is developed over the Arduino board and IBM Watson IoT platform. Our model is structured in such a way that it reduces the computational burden over sensing nodes (reduced to 70%) that is battery powered and balanced it with edge computing device that has its local data base and can be powered up directly as it is deployed indoor. Algorithms were employed to avoid temporary errors in low cost sensor, and to manage cross sensitivity problems. Automatic calibration is set up to ensure the accuracy of the sensors reporting, hence achieving data accuracy around 75–80% under different circumstances. In addition, a data transmission strategy is applied to minimize the redundant network traffic and power consumption. Our model acquires a power consumption reduction up to 23% with a significant low cost. Experimental evaluations were performed under different scenarios to validate the system’s effectiveness.

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Development of Low Cost Air Quality Monitoring System by Using Image Processing Technique

Image Processing ◽

10.5772/7048 ◽

2009 ◽

Author(s):

C.J. Wong ◽

M.Z. MatJafri ◽

K. Abdullah ◽

H.S. Lim

Keyword(s):

Image Processing ◽

Air Quality ◽

Monitoring System ◽

Low Cost ◽

Processing Technique ◽

Quality Monitoring ◽

Image Processing Technique ◽

Air Quality Monitoring

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Demonstration abstract: AirFeed — Indoor real time interactive air quality monitoring system

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks ◽

10.1109/ipsn.2014.6846785 ◽

2014 ◽

Author(s):

Kyeong T. Min ◽

Andrzej Forys ◽

Thomas Schmid

Keyword(s):

Air Quality ◽

Real Time ◽

Monitoring System ◽

Quality Monitoring ◽

Air Quality Monitoring

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A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

Journal of Informatics Electrical and Electronics Engineering (JIEEE) ◽

10.54060/jieee/002.02.023 ◽

2021 ◽

Vol 2 (2) ◽

pp. 1-14

Author(s):

Aarti Rani ◽

Keyword(s):

Air Quality ◽

Internet Of Things ◽

Real Time ◽

Monitoring System ◽

Fog Computing ◽

Pollution Monitoring ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Air Pollution Monitoring ◽

Architectural Framework

Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

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Technical Solution for a Real-Time Air Quality Monitoring System

International Journal of Computers Communications & Control ◽

10.15837/ijccc.2020.4.3891 ◽

2020 ◽

Vol 15 (4) ◽

Author(s):

Attila Simo ◽

Simona Dzitac ◽

Flaviu Mihai Frigura-Iliasa ◽

Sorin Musuroi ◽

Petru Andea ◽

...

Keyword(s):

Air Quality ◽

Real Time ◽

Monitoring System ◽

Quality Monitoring ◽

Real Field ◽

Technical Solution ◽

Air Quality Monitoring ◽

Single Chip ◽

Communication Module ◽

Technical Solutions

This article will present a simple technical solution for a low-power and real-time air quality monitoring system. The whole package of software and hardware technical solutions applied for recording, transmitting and analyzing data is briefly described. This original monitoring system integrates a single chip microcon-troller, several dedicated air pollution surveillance sensors (for PM10, PM2.5, SO2, NO2, CO, O3, VOC, CO2), a LoRaWAN communication module and an online platform. This system was tested and applied under real field conditions. Depending on the measured values, it provides alerts, or, it can lead to the re-placement of specific components in the exhaust equipment. This article will pre-sent some experimental results, validated also by official measurements of government operated air quality stations.

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