Air quality monitoring in Mauritius

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

doi:10.1109/ICONIC.2018.8601245

Air quality monitoring in Mauritius

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

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2018 International Conference on Intelligent and Innovative Computing Applications
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781538664773
DOIs	https://doi.org/10.1109/ICONIC.2018.8601245
Publication status	Published - 7 Jan 2019
Event	2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018 - Plaine Magnien, Mauritius Duration: 6 Dec 2018 → 7 Dec 2018

Conference

Conference	2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018
Country/Territory	Mauritius
City	Plaine Magnien
Period	6/12/18 → 7/12/18

Keywords

air quality
azure
MQTT
sensor

Access to Document

10.1109/ICONIC.2018.8601245

Cite this

@inproceedings{0fe9688fe55746c598ee9cc6b44827c6,

title = "Air quality monitoring in Mauritius",

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. ",

keywords = "air quality, azure, MQTT, sensor",

author = "Praveer Towakel and Guness, {Shivanand P.} and Amar Seeam and Girish Bekaroo and Bellekens, {Xavier A.}",

note = "{\textcopyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018 ; Conference date: 06-12-2018 Through 07-12-2018",

year = "2019",

month = jan,

day = "7",

doi = "10.1109/ICONIC.2018.8601245",

language = "English",

booktitle = "2018 International Conference on Intelligent and Innovative Computing Applications",

publisher = "IEEE",

}

Towakel, P, Guness, SP, Seeam, A, Bekaroo, G & Bellekens, XA 2019, Air quality monitoring in Mauritius. in 2018 International Conference on Intelligent and Innovative Computing Applications., 8601245, IEEE, Piscataway, NJ, 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018, Plaine Magnien, Mauritius, 6/12/18. https://doi.org/10.1109/ICONIC.2018.8601245

TY - GEN

T1 - Air quality monitoring in Mauritius

AU - Towakel, Praveer

AU - Guness, Shivanand P.

AU - Seeam, Amar

AU - Bekaroo, Girish

AU - Bellekens, Xavier A.

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2019/1/7

Y1 - 2019/1/7

N2 - 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.

AB - 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.

KW - air quality

KW - azure

KW - MQTT

KW - sensor

UR - http://www.scopus.com/inward/record.url?scp=85061833912&partnerID=8YFLogxK

U2 - 10.1109/ICONIC.2018.8601245

DO - 10.1109/ICONIC.2018.8601245

M3 - Conference contribution book

AN - SCOPUS:85061833912

BT - 2018 International Conference on Intelligent and Innovative Computing Applications

PB - IEEE

CY - Piscataway, NJ

T2 - 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018

Y2 - 6 December 2018 through 7 December 2018

ER -

Air quality monitoring in Mauritius

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this