Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/103021
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.creator | Meng, Q | en_US |
| dc.creator | Zhu, S | en_US |
| dc.date.accessioned | 2023-11-27T06:03:56Z | - |
| dc.date.available | 2023-11-27T06:03:56Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/103021 | - |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI AG | en_US |
| dc.rights | © 2020 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/). | en_US |
| dc.rights | The following publication Meng Q, Zhu S. Developing IoT Sensing System for Construction-Induced Vibration Monitoring and Impact Assessment. Sensors. 2020; 20(21):6120 is available at https://doi.org/10.3390/s20216120. | en_US |
| dc.subject | Cloud system | en_US |
| dc.subject | Construction-induced vibration monitoring | en_US |
| dc.subject | Impact assessment | en_US |
| dc.subject | Internet of things | en_US |
| dc.subject | Wireless sensor | en_US |
| dc.title | Developing IoT sensing system for construction-induced vibration monitoring and impact assessment | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 20 | en_US |
| dc.identifier.issue | 21 | en_US |
| dc.identifier.doi | 10.3390/s20216120 | en_US |
| dcterms.abstract | Construction activities often generate intensive ground-borne vibrations that may adversely affect structure safety, human comfort, and equipment functionality. Vibration monitoring systems are commonly deployed to assess the vibration impact on the surrounding environment during the construction period. However, traditional vibration monitoring systems are associated with limitations such as expensive devices, difficult installation, complex operation, etc. Few of these monitoring systems have integrated functions such as in situ data processing and remote data transmission and access. By leveraging the recent advances in information technology, an Internet of Things (IoT) sensing system has been developed to provide a promising alternative to the traditional vibration monitoring system. A microcomputer (Raspberry Pi) and a microelectromechanical systems (MEMS) accelerometer are adopted to minimize the system cost and size. A USB internet dongle is used to provide 4G communication with cloud. Time synchronization and different operation modes have been designed to achieve energy efficiency. The whole system is powered by a rechargeable solar battery, which completely avoids cabling work on construction sites. Various alarm functions, MySQL database for measurement data storage, and webpage-based user interface are built on a public cloud platform. The architecture of the IoT vibration sensing system and its working mechanism are introduced in detail. The performance of the developed IoT vibration sensing system has been successfully validated by a series of tests in the laboratory and on a selected construction site. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Sensors (Switzerland), Nov. 2020, v. 20, no. 21, 6120 | en_US |
| dcterms.isPartOf | Sensors (Switzerland) | en_US |
| dcterms.issued | 2020-11 | - |
| dc.identifier.scopus | 2-s2.0-85094930164 | - |
| dc.identifier.pmid | 33121212 | - |
| dc.identifier.eissn | 1424-8220 | en_US |
| dc.identifier.artn | 6120 | en_US |
| dc.description.validate | 202311 bcch | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Others | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Construction Industry Council of Hong Kong; Hong Kong Polytechnic University | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| sensors-20-06120-v2.pdf | 5.16 MB | Adobe PDF | View/Open |
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