Cargando…
Citizen Sensors for SHM: Towards a Crowdsourcing Platform
This paper presents an innovative structural health monitoring (SHM) platform in terms of how it integrates smartphone sensors, the web, and crowdsourcing. The ubiquity of smartphones has provided an opportunity to create low-cost sensor networks for SHM. Crowdsourcing has given rise to citizen init...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507648/ https://www.ncbi.nlm.nih.gov/pubmed/26102490 http://dx.doi.org/10.3390/s150614591 |
_version_ | 1782381826639134720 |
---|---|
author | Ozer, Ekin Feng, Maria Q. Feng, Dongming |
author_facet | Ozer, Ekin Feng, Maria Q. Feng, Dongming |
author_sort | Ozer, Ekin |
collection | PubMed |
description | This paper presents an innovative structural health monitoring (SHM) platform in terms of how it integrates smartphone sensors, the web, and crowdsourcing. The ubiquity of smartphones has provided an opportunity to create low-cost sensor networks for SHM. Crowdsourcing has given rise to citizen initiatives becoming a vast source of inexpensive, valuable but heterogeneous data. Previously, the authors have investigated the reliability of smartphone accelerometers for vibration-based SHM. This paper takes a step further to integrate mobile sensing and web-based computing for a prospective crowdsourcing-based SHM platform. An iOS application was developed to enable citizens to measure structural vibration and upload the data to a server with smartphones. A web-based platform was developed to collect and process the data automatically and store the processed data, such as modal properties of the structure, for long-term SHM purposes. Finally, the integrated mobile and web-based platforms were tested to collect the low-amplitude ambient vibration data of a bridge structure. Possible sources of uncertainties related to citizens were investigated, including the phone location, coupling conditions, and sampling duration. The field test results showed that the vibration data acquired by smartphones operated by citizens without expertise are useful for identifying structural modal properties with high accuracy. This platform can be further developed into an automated, smart, sustainable, cost-free system for long-term monitoring of structural integrity of spatially distributed urban infrastructure. Citizen Sensors for SHM will be a novel participatory sensing platform in the way that it offers hybrid solutions to transitional crowdsourcing parameters. |
format | Online Article Text |
id | pubmed-4507648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-45076482015-07-22 Citizen Sensors for SHM: Towards a Crowdsourcing Platform Ozer, Ekin Feng, Maria Q. Feng, Dongming Sensors (Basel) Article This paper presents an innovative structural health monitoring (SHM) platform in terms of how it integrates smartphone sensors, the web, and crowdsourcing. The ubiquity of smartphones has provided an opportunity to create low-cost sensor networks for SHM. Crowdsourcing has given rise to citizen initiatives becoming a vast source of inexpensive, valuable but heterogeneous data. Previously, the authors have investigated the reliability of smartphone accelerometers for vibration-based SHM. This paper takes a step further to integrate mobile sensing and web-based computing for a prospective crowdsourcing-based SHM platform. An iOS application was developed to enable citizens to measure structural vibration and upload the data to a server with smartphones. A web-based platform was developed to collect and process the data automatically and store the processed data, such as modal properties of the structure, for long-term SHM purposes. Finally, the integrated mobile and web-based platforms were tested to collect the low-amplitude ambient vibration data of a bridge structure. Possible sources of uncertainties related to citizens were investigated, including the phone location, coupling conditions, and sampling duration. The field test results showed that the vibration data acquired by smartphones operated by citizens without expertise are useful for identifying structural modal properties with high accuracy. This platform can be further developed into an automated, smart, sustainable, cost-free system for long-term monitoring of structural integrity of spatially distributed urban infrastructure. Citizen Sensors for SHM will be a novel participatory sensing platform in the way that it offers hybrid solutions to transitional crowdsourcing parameters. MDPI 2015-06-19 /pmc/articles/PMC4507648/ /pubmed/26102490 http://dx.doi.org/10.3390/s150614591 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ozer, Ekin Feng, Maria Q. Feng, Dongming Citizen Sensors for SHM: Towards a Crowdsourcing Platform |
title | Citizen Sensors for SHM: Towards a Crowdsourcing Platform |
title_full | Citizen Sensors for SHM: Towards a Crowdsourcing Platform |
title_fullStr | Citizen Sensors for SHM: Towards a Crowdsourcing Platform |
title_full_unstemmed | Citizen Sensors for SHM: Towards a Crowdsourcing Platform |
title_short | Citizen Sensors for SHM: Towards a Crowdsourcing Platform |
title_sort | citizen sensors for shm: towards a crowdsourcing platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507648/ https://www.ncbi.nlm.nih.gov/pubmed/26102490 http://dx.doi.org/10.3390/s150614591 |
work_keys_str_mv | AT ozerekin citizensensorsforshmtowardsacrowdsourcingplatform AT fengmariaq citizensensorsforshmtowardsacrowdsourcingplatform AT fengdongming citizensensorsforshmtowardsacrowdsourcingplatform |