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Implementation of Web Based Environmental Pollution Monitoring System Using Raspberry Pi 3 Model

Aishwarya S1 , Apoorva M J2 , Divya Vani M3 , Indushree S4 , Prasanna Kumar M5

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 43-48, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.4348

Online published on May 16, 2019

Copyright © Aishwarya S, Apoorva M J, Divya Vani M, Indushree S, Prasanna Kumar M . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Aishwarya S, Apoorva M J, Divya Vani M, Indushree S, Prasanna Kumar M, “Implementation of Web Based Environmental Pollution Monitoring System Using Raspberry Pi 3 Model,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.43-48, 2019.

MLA Style Citation: Aishwarya S, Apoorva M J, Divya Vani M, Indushree S, Prasanna Kumar M "Implementation of Web Based Environmental Pollution Monitoring System Using Raspberry Pi 3 Model." International Journal of Computer Sciences and Engineering 07.15 (2019): 43-48.

APA Style Citation: Aishwarya S, Apoorva M J, Divya Vani M, Indushree S, Prasanna Kumar M, (2019). Implementation of Web Based Environmental Pollution Monitoring System Using Raspberry Pi 3 Model. International Journal of Computer Sciences and Engineering, 07(15), 43-48.

BibTex Style Citation:
@article{S_2019,
author = {Aishwarya S, Apoorva M J, Divya Vani M, Indushree S, Prasanna Kumar M},
title = {Implementation of Web Based Environmental Pollution Monitoring System Using Raspberry Pi 3 Model},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {43-48},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1198},
doi = {https://doi.org/10.26438/ijcse/v7i15.4348}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.4348}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1198
TI - Implementation of Web Based Environmental Pollution Monitoring System Using Raspberry Pi 3 Model
T2 - International Journal of Computer Sciences and Engineering
AU - Aishwarya S, Apoorva M J, Divya Vani M, Indushree S, Prasanna Kumar M
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 43-48
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

In recent day scenario, the incessant increase in air and sound pollution prove to be an alarming problem. It has become mandatory to control and appropriately monitor the situation so that the required steps to curb the situation can be undertaken. In this project, an IOT-based method to monitor the Air Quality Index and the Noise Intensity of a region, have been proposed. The recommended technology comprises of four modules namely, the Air Quality Index Monitoring Module, the Sound Intensity Detection Module, the Cloud-based Monitoring Module and the Anomaly Notification Module. Firstly, the Air Quality Index is measured considering the presence of the five criteria air pollutants. Then the sound intensity is detected using respective sensor. After that, the Cloud-based Monitoring Module ensures the process of acquiring the data with the help of Wi-fi-module present in Raspberry Pi which fulfils the objective of analysis of information on a periodical basis.

Key-Words / Index Term

MQTT Protocol, Noise Pollution Level

References

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