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IoT based Air and Sound Pollution Monitoring System for Smart Environment

Tanuj Manglani, Abhigyan Srivastava, Amit Kumar, Rahul Sharma

20222022 International Conference on Electronics and Renewable Systems (ICEARS)21 citationsDOI

Abstract

Air and noise pollution is a rapidly growing issue these days. Air quality monitoring is critical for a bright future and a healthy life for all of us. In this paper present an air quality and noise pollution monitoring system that uses the internet of things (IoT) to monitor and check real-time air quality and noise pollution in a specific location for smart environment. It detects dangerous and poisonous chemicals such as NH <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> , benzene, smoking, and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> using air sensors. In addition, the system continuously monitors sound levels and activates a buzzer if the sound level exceeds the set threshold. The major goal of the publication is to keep track of air pollution in various parts of the city, as well as noise pollution.

Topics & Concepts

Noise pollutionAir pollutionPollutionNoise (video)Air quality indexInternet of ThingsComputer scienceBuzzerSound (geography)Set (abstract data type)Environmental scienceReal-time computingEmbedded systemEngineeringMeteorologyArtificial intelligenceElectrical engineeringAcousticsGeographyChemistryNoise reductionEcologyOrganic chemistryImage (mathematics)BiologyPhysicsALARMProgramming languageAir Quality Monitoring and ForecastingAdvanced Chemical Sensor TechnologiesNoise Effects and Management
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