Air quality monitoring in Mauritius

Praveer Towakel, Shivanand P. Guness, Amar Seeam, Girish Bekaroo, Xavier A. Bellekens

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

The aim of this project is to develop a low cost air quality monitoring system. The proposed system used the Raspberry Pi board, Arduino board, Grove sensors and Microsoft's Azure based cloud service for data storage and analysis. The data was captured from the 10th of May to the 31st of August 2017 in Bonne Terre, Vacoas. It was found that during the data capture period there was one occurrence in May and two occurrences in August where the PM 2.5 and PM 10 were above the 25 ug/m3 and 50 ug/m3 level based on WHO guidelines.

Original languageEnglish
Title of host publication2018 International Conference on Intelligent and Innovative Computing Applications
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages5
ISBN (Electronic)9781538664773
DOIs
Publication statusPublished - 7 Jan 2019
Event2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018 - Plaine Magnien, Mauritius
Duration: 6 Dec 20187 Dec 2018

Conference

Conference2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018
CountryMauritius
CityPlaine Magnien
Period6/12/187/12/18

Keywords

  • air quality
  • azure
  • MQTT
  • sensor

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