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Citizen Sensors for SHM: Towards a Crowdsourcing Platform.

Ozer E, Feng MQ, Feng D - Sensors (Basel) (2015)

Bottom Line: Possible sources of uncertainties related to citizens were investigated, including the phone location, coupling conditions, and sampling duration.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil Engineering and Engineering Mechanics, Columbia University, 500 W 120th St, New York, NY 10027, USA. eo2327@columbia.edu.

ABSTRACT
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.

No MeSH data available.


Arias intensities obtained from different samples.
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sensors-15-14591-f010: Arias intensities obtained from different samples.

Mentions: In Figure 10, Arias intensity values are plotted to observe the energy difference between reference and smartphone sensors. The overall figure shows that there is a great difference between intensity levels obtained by Smartphone 1 and others. As explained before, the high level of noise results in overestimation of energy in measurements, especially under low intensity ambient vibrations [11,40]. Therefore, Smartphone 1 intensity is not demonstrated in Test 1–6 results to increase the graph resolution. According to the intensity values obtained from different tests, it is observed that the new generation Smartphone 3 performs better than Smartphone 2 due to the increased sensor sensitivity level. However, both results are considerably accurate as a means of modal identification under ambient vibration.


Citizen Sensors for SHM: Towards a Crowdsourcing Platform.

Ozer E, Feng MQ, Feng D - Sensors (Basel) (2015)

Arias intensities obtained from different samples.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507648&req=5

sensors-15-14591-f010: Arias intensities obtained from different samples.
Mentions: In Figure 10, Arias intensity values are plotted to observe the energy difference between reference and smartphone sensors. The overall figure shows that there is a great difference between intensity levels obtained by Smartphone 1 and others. As explained before, the high level of noise results in overestimation of energy in measurements, especially under low intensity ambient vibrations [11,40]. Therefore, Smartphone 1 intensity is not demonstrated in Test 1–6 results to increase the graph resolution. According to the intensity values obtained from different tests, it is observed that the new generation Smartphone 3 performs better than Smartphone 2 due to the increased sensor sensitivity level. However, both results are considerably accurate as a means of modal identification under ambient vibration.

Bottom Line: Possible sources of uncertainties related to citizens were investigated, including the phone location, coupling conditions, and sampling duration.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil Engineering and Engineering Mechanics, Columbia University, 500 W 120th St, New York, NY 10027, USA. eo2327@columbia.edu.

ABSTRACT
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.

No MeSH data available.