Next Article in Journal
A Novel 12-Lead ECG T-Shirt with Active Electrodes
Next Article in Special Issue
A Miniature Data Repository on a Raspberry Pi
Previous Article in Journal
Modeling and Design of a New Flexible Graphene-on-Silicon Schottky Junction Solar Cell
Previous Article in Special Issue
AgPi: Agents on Raspberry Pi
Open AccessArticle

On the Application of the Raspberry Pi as an Advanced Acoustic Sensor Network for Noise Monitoring

Department of Technical Sciences, UCAM Catholic University of Murcia, 30107 Murcia, Spain
Author to whom correspondence should be addressed.
Academic Editors: Simon J. Cox and Steven J. Johnston
Electronics 2016, 5(4), 74;
Received: 12 July 2016 / Revised: 6 October 2016 / Accepted: 20 October 2016 / Published: 27 October 2016
(This article belongs to the Special Issue Raspberry Pi Technology)
The concept of Smart Cities and the monitoring of environmental parameters is an area of research that has attracted scientific attention during the last decade. These environmental parameters are well-known as important factors in their affection towards people. Massive monitoring of this kind of parameters in cities is an expensive and complex task. Recent technologies of low-cost computing and low-power devices have opened researchers to a wide and more accessible research field, developing monitoring devices for deploying Wireless Sensor Networks. Gathering information from them, improved urban plans could be carried out and the information could help citizens. In this work, the prototyping of a low-cost acoustic sensor based on the Raspberry Pi platform for its use in the analysis of the sound field is described. The device is also connected to the cloud to share results in real time. The computation resources of the Raspberry Pi allow treating high quality audio for calculating acoustic parameters. A pilot test was carried out with the installation of two acoustic devices in the refurbishment works of a neighbourhood. In this deployment, the evaluation of these devices through long-term measurements was carried out, obtaining several acoustic parameters in real time for its broadcasting and study. This test has shown the Raspberry Pi as a powerful and affordable computing core of a low-cost device, but also the pilot test has served as a query tool for the inhabitants of the neighbourhood to be more aware about the noise in their own place of residence. View Full-Text
Keywords: noise monitoring; Internet-of-Things; acoustics; Raspberry Pi; noise awareness noise monitoring; Internet-of-Things; acoustics; Raspberry Pi; noise awareness
Show Figures

Graphical abstract

MDPI and ACS Style

Noriega-Linares, J.E.; Navarro Ruiz, J.M. On the Application of the Raspberry Pi as an Advanced Acoustic Sensor Network for Noise Monitoring. Electronics 2016, 5, 74.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop