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A Prototype of Air Substance Quantity Monitoring System Using Internet of Things (IoT)

Authors: Md. Shayan Rana; Shuaib Mahmud;

A Prototype of Air Substance Quantity Monitoring System Using Internet of Things (IoT)

Abstract

Abstract: The biggest issue facing the planet now is air pollution. Because harmful chemicals like CO2, SO2, NO2, and CO are released into the atmosphere, the globe is becoming more polluted. These dangerous gases are dissolved in the air and are unpredictable. Consequently, a device is needed to measure the air quality. IoT devices that operate over the internet can be used to monitor air pollution. Devices connected to the Internet of Things (IoT) can gather data and analyze it to make predictions, such as whether the air is of acceptable quality or not. As a result, sensors and IOT-based devices like Arduino and Raspberry Pi can be used to monitor the air quality in a specific area. The goal of this research study is to comprehend information on environmental variables and also to enable simple integration into any other type of internet-based architecture (IoT) that permits the use of sensors capable of gathering information on sensors related to smart city environment measurements, with the goal of providing data on information relating to environmental pollution.

Keywords

Air pollution, IOT, Sensors, MQ-2, MQ-135.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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