Cargando…
The Life of a New York City Noise Sensor Network
Noise pollution is one of the topmost quality of life issues for urban residents in the United States. Continued exposure to high levels of noise has proven effects on health, including acute effects such as sleep disruption, and long-term effects such as hypertension, heart disease, and hearing los...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470762/ https://www.ncbi.nlm.nih.gov/pubmed/30909428 http://dx.doi.org/10.3390/s19061415 |
_version_ | 1783411871246712832 |
---|---|
author | Mydlarz, Charlie Sharma, Mohit Lockerman, Yitzchak Steers, Ben Silva, Claudio Bello, Juan Pablo |
author_facet | Mydlarz, Charlie Sharma, Mohit Lockerman, Yitzchak Steers, Ben Silva, Claudio Bello, Juan Pablo |
author_sort | Mydlarz, Charlie |
collection | PubMed |
description | Noise pollution is one of the topmost quality of life issues for urban residents in the United States. Continued exposure to high levels of noise has proven effects on health, including acute effects such as sleep disruption, and long-term effects such as hypertension, heart disease, and hearing loss. To investigate and ultimately aid in the mitigation of urban noise, a network of 55 sensor nodes has been deployed across New York City for over two years, collecting sound pressure level (SPL) and audio data. This network has cumulatively amassed over 75 years of calibrated, high-resolution SPL measurements and 35 years of audio data. In addition, high frequency telemetry data have been collected that provides an indication of a sensors’ health. These telemetry data were analyzed over an 18-month period across 31 of the sensors. It has been used to develop a prototype model for pre-failure detection which has the ability to identify sensors in a prefail state 69.1% of the time. The entire network infrastructure is outlined, including the operation of the sensors, followed by an analysis of its data yield and the development of the fault detection approach and the future system integration plans for this. |
format | Online Article Text |
id | pubmed-6470762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64707622019-04-26 The Life of a New York City Noise Sensor Network Mydlarz, Charlie Sharma, Mohit Lockerman, Yitzchak Steers, Ben Silva, Claudio Bello, Juan Pablo Sensors (Basel) Article Noise pollution is one of the topmost quality of life issues for urban residents in the United States. Continued exposure to high levels of noise has proven effects on health, including acute effects such as sleep disruption, and long-term effects such as hypertension, heart disease, and hearing loss. To investigate and ultimately aid in the mitigation of urban noise, a network of 55 sensor nodes has been deployed across New York City for over two years, collecting sound pressure level (SPL) and audio data. This network has cumulatively amassed over 75 years of calibrated, high-resolution SPL measurements and 35 years of audio data. In addition, high frequency telemetry data have been collected that provides an indication of a sensors’ health. These telemetry data were analyzed over an 18-month period across 31 of the sensors. It has been used to develop a prototype model for pre-failure detection which has the ability to identify sensors in a prefail state 69.1% of the time. The entire network infrastructure is outlined, including the operation of the sensors, followed by an analysis of its data yield and the development of the fault detection approach and the future system integration plans for this. MDPI 2019-03-22 /pmc/articles/PMC6470762/ /pubmed/30909428 http://dx.doi.org/10.3390/s19061415 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mydlarz, Charlie Sharma, Mohit Lockerman, Yitzchak Steers, Ben Silva, Claudio Bello, Juan Pablo The Life of a New York City Noise Sensor Network |
title | The Life of a New York City Noise Sensor Network |
title_full | The Life of a New York City Noise Sensor Network |
title_fullStr | The Life of a New York City Noise Sensor Network |
title_full_unstemmed | The Life of a New York City Noise Sensor Network |
title_short | The Life of a New York City Noise Sensor Network |
title_sort | life of a new york city noise sensor network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470762/ https://www.ncbi.nlm.nih.gov/pubmed/30909428 http://dx.doi.org/10.3390/s19061415 |
work_keys_str_mv | AT mydlarzcharlie thelifeofanewyorkcitynoisesensornetwork AT sharmamohit thelifeofanewyorkcitynoisesensornetwork AT lockermanyitzchak thelifeofanewyorkcitynoisesensornetwork AT steersben thelifeofanewyorkcitynoisesensornetwork AT silvaclaudio thelifeofanewyorkcitynoisesensornetwork AT bellojuanpablo thelifeofanewyorkcitynoisesensornetwork AT mydlarzcharlie lifeofanewyorkcitynoisesensornetwork AT sharmamohit lifeofanewyorkcitynoisesensornetwork AT lockermanyitzchak lifeofanewyorkcitynoisesensornetwork AT steersben lifeofanewyorkcitynoisesensornetwork AT silvaclaudio lifeofanewyorkcitynoisesensornetwork AT bellojuanpablo lifeofanewyorkcitynoisesensornetwork |