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ThinkMind // INTELLI 2017, The Sixth International Conference on Intelligent Systems and Applications // View article intelli_2017_3_10_68009


Distributed Sensor Network for Noise Monitoring in Industrial Environment with Raspberry Pi

Authors:
Natalia Blasco
María de Diego
Román Belda
Ismael de Fez
Pau Arce
Francisco José Martínez-Zaldívar
Alberto González
Juan Carlos Guerri

Keywords: Wireless Acoustic Sensor Network (WASN); Raspberry Pi 3; Industrial environment; Monitoring; Ad hoc networks

Abstract:
Monitoring the noise in working places is essential to protect the health of workers. There are two main factors that must be taken into account, and thus controlled, when considering noise exposition during the working hours: the level of perceived noise and the time exposed to that level of noise. In industrial environments, these two factors represent a high priority due to the quantity of equipment inside the factory. In this paper, we present a low cost system to measure and monitor noise conditions in an industrial environment. The proposed solution is based on ad hoc wireless probes and a server in the cloud, which acts as a centralized data sink. Specifically, the probes are based on Raspberry Pi 3, while the server may be placed anywhere on the Internet. The proposed system helps to detect critical levels of noise for workers, sending warning messages to predefined contacts by means of a text message or email when hazardous situations occur.

Pages: 51 to 55

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-576-0

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017

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