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Real Time Industrial Noise Mapping with IoT Systems

by Renan Augusto Starke, Rafael Nagi Cruz Gerges, Roberto Alexandre Dias, Valdir Noll, Aldrwin Farias Hamad, Joao Victor Felipe Laporte, Fernanda Cardoso Ratola
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 43
Year of Publication: 2024
Authors: Renan Augusto Starke, Rafael Nagi Cruz Gerges, Roberto Alexandre Dias, Valdir Noll, Aldrwin Farias Hamad, Joao Victor Felipe Laporte, Fernanda Cardoso Ratola
10.5120/ijca2024924049

Renan Augusto Starke, Rafael Nagi Cruz Gerges, Roberto Alexandre Dias, Valdir Noll, Aldrwin Farias Hamad, Joao Victor Felipe Laporte, Fernanda Cardoso Ratola . Real Time Industrial Noise Mapping with IoT Systems. International Journal of Computer Applications. 186, 43 ( Sep 2024), 33-39. DOI=10.5120/ijca2024924049

@article{ 10.5120/ijca2024924049,
author = { Renan Augusto Starke, Rafael Nagi Cruz Gerges, Roberto Alexandre Dias, Valdir Noll, Aldrwin Farias Hamad, Joao Victor Felipe Laporte, Fernanda Cardoso Ratola },
title = { Real Time Industrial Noise Mapping with IoT Systems },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2024 },
volume = { 186 },
number = { 43 },
month = { Sep },
year = { 2024 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number43/real-time-industrial-noise-mapping-with-iot-systems/ },
doi = { 10.5120/ijca2024924049 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-09-30T23:02:46.945549+05:30
%A Renan Augusto Starke
%A Rafael Nagi Cruz Gerges
%A Roberto Alexandre Dias
%A Valdir Noll
%A Aldrwin Farias Hamad
%A Joao Victor Felipe Laporte
%A Fernanda Cardoso Ratola
%T Real Time Industrial Noise Mapping with IoT Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 43
%P 33-39
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article presents a development of an industrial noise mapping system using IoT device and ZigBee network. The measurement results of noise in laboratory conditions demonstrates good accuracy. The use ZigBee mesh network attends the battery life and range criterions. This work shows a hardware selection, like MEMS microphones and SoC modules with real time system and ZigBee stack. The firmware strategy and Zigbee Cluster Library (ZCL) profile adaptations is also described.

References
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Index Terms

Computer Science
Information Sciences
Noise Mapping
Zigbee Network
MEMS microphone.

Keywords

Noise Zigbee MEMS zigbee2mqtt embedded systems.

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