Design and Implementation of an IoT Based Air Pollution Detection and Monitoring System

Chowdhury, Shaheduzzaman; Islam, Md. Shahedul; Raihan, Md. Kaiser; Arefin, Mohammed Shahriar

doi:10.1109/icaee48663.2019.8975647

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…This, in turn, allows for increased monitoring coverage, especially in low-resource settings. Secondly, low-cost AQMs are easy to use and offer real-time monitoring, allowing immediate action if pollutant levels exceed recommended limits, just like commercially available devices (11,12). Additionally, low-cost AQMs can be customized to suit specific monitoring needs.…”

Section: Discussionmentioning

confidence: 99%

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A cost-effective IoT-based intelligent indoor air quality monitoring

Heengama,

Heengama

2023

J Emerg Invest

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Air quality monitoring has become a critical issue for human beings as it is related to living quality. Poor air quality harms human health, worsening respiratory diseases, increasing heart risks, impacting brain health, and endangering vulnerable populations. Various countries legislate air quality norms related to air monitoring and measurement standards. Nonetheless, most of the monitoring stations for air pollution are set up outdoors and monitor sources of air pollution and greenhouse gases in larger regions, neglecting the importance of indoor air quality (IAQ). Thus, monitoring the IAQ for better healthcare has become necessary. However, low-cost sensors are often associated with design compromises that hamper data reliability. Although scientists have extensively studied IAQ, the practical application of low-cost devices in indoor environments has yet to be investigated. We explored the effectiveness of a low- cost IAQ experimental monitoring device by studying the quality of the results gathered from the reference monitor unit. We hypothesized that the advanced technology and sensors would provide accurate and valid data to make the low-cost IAQ monitor feasible for widespread usage. Our goal was to provide an intelligent, movable, and cost-effective indoor air quality monitoring unit which has been designed to simulate users' indoor routes and detect air quality in real-time. Since, the main factor affecting the accuracy and validity of the measurements results from its orthogonal design. Our results revealed a low-cost monitoring device can be used with efficient design and by using sensors that are highly accurate which are low-cost for accurate and valid readings.

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Section: Discussionmentioning

confidence: 99%

“…Furthermore, it can reduce the device's size and weight, making it more portable and user-friendly. Additionally, a good PCB design can improve the device's reliability and durability, reducing the need for frequent repairs or replacements (12,13).…”

Section: Introductionmentioning

confidence: 99%

A cost-effective IoT-based intelligent indoor air quality monitoring

Heengama,

Heengama

2023

J Emerg Invest

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“…Three existing systems are analyzed and compared as they have similar features to the proposed system, which is to detect air pollution. The systems are IoT Based Air Quality system [6], Centralized Air Pollution Detection and Monitoring: A Review [7], and Air Pollution Detection System Using Edge Computing [8]. The comparison is made to analyze the existing system's weaknesses studied and apply the improvement opportunity to the proposed system.…”

Section: Related Workmentioning

confidence: 99%

“…Three current systems are analyzed and compared during the analysis phase. The systems are IoT Based Air Quality system [6], Centralized Air Pollution Detection and Monitoring: A Review [7], and Air Pollution Detection System Using Edge Computing [8]. The user requirements required are to view air pollution reading, view air pollution reading graph, and receive a notification alert.…”

Section: The System Developmentmentioning

confidence: 99%

An Internet of Things-based Air Pollution Detection System

Saari¹,

Kamaludin²,

Safa³

et al. 2022

JSCDM

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The Internet of Things (IoT)-based air pollution detection system using gas sensors is a system that is developed to detect air pollution using IoT technology. Air pollution is a condition where there is a mixture of harmful chemicals in the air we inhale that can cause damage to humans and the surroundings. The issue of polluted air nowadays has made people become more aware of the air quality they inhale. The system has been developed using MQ2 and MQ9 gas sensors to detect the air pollution level. The system involved two features in helping users read the air pollution level and notify the reading through a mobile app. Users also get notified of the reading through a pop-up notification. The mobile application development uses Android Studio, while Google Firebase is used as the database for the system. This IoT-based air pollution detection system is successfully developed and notified users about the air pollution reading to be more aware of their surroundings.

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“…Although Delhi and other metropolitan cities have deployed an equipment that continuously monitor the air quality. The future of the world's next smart cities lies in inexpensive IoT-capable Future smart cities throughout the world will use WSN technology [11].…”

Section: Introductionmentioning

confidence: 99%

An IoT Implemented Dynamic Air Pollution Monitoring System

Edupuganti,

Satwik Tenneti,

Iqbal

et al. 2023

EAI Endorsed Trans IoT

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In recent years, pollution of air has become a critical concern in many urban areas, causing serious health problems and environmental damage. To address this issue, an Internet-of-Things (IoT)-based air pollution monitoring system was proposed. The mechanism was designed to measure various air quality parameters such as temperature, humidity, various gases, microbes, and light intensity in real time. The proposed sys-tem consists of sensor nodes, a gateway, WIFI module, an LCD display, and a cloud server. The sensor nodes were placed at different locations to measure air quality parameters, and the data were transmitted to the gateway via wireless communication. The gateway aggregates the data from the sensor nodes and sends them to the cloud server for further analysis and processing. The cloud server processes the data, and the system also includes a web interface that displays data on the pollution levels of the air in real time. The sys-tem can also send alerts to users when the air quality is poor, allowing them to take the necessary precautions. This system could assist decision-makers in taking appropriate measures to alleviate air pollution and safeguard the health of the community by providing real-time information about air quality. The system was evaluated in a real-world environment and the results demonstrated its effectiveness in providing accurate and reliable air quality information. The proposed system has the potential to be used in various applications, including public health and environmental monitoring, and can be integrated with other IoT devices to enhance their functionality.

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Design and Implementation of an IoT Based Air Pollution Detection and Monitoring System

Cited by 11 publications

References 6 publications

A cost-effective IoT-based intelligent indoor air quality monitoring

A cost-effective IoT-based intelligent indoor air quality monitoring

An Internet of Things-based Air Pollution Detection System

An IoT Implemented Dynamic Air Pollution Monitoring System

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