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Author:

Xie, Yilin (Xie, Yilin.) | Zhang, Song (Zhang, Song.) | Meng, Xiaolin (Meng, Xiaolin.) | Nguyen, Dinh Tung (Nguyen, Dinh Tung.) | Ye, George (Ye, George.) | Li, Haiyang (Li, Haiyang.)

Indexed by:

EI Scopus SCIE

Abstract:

This paper presents an innovative integrated sensor that combines GNSS and a low-cost accelerometer for bridge health monitoring. GNSS and accelerometers are both significant and effective sensors for structural monitoring, but they each have limitations. The sampling rate of GNSS data is relatively low, making it challenging to capture high-frequency vibrations, while accelerometers struggle with low-frequency signals and are susceptible to environmental changes. Additionally, GNSS receivers and accelerometers are often installed separately, leading to challenges in data fusion processing due to differing temporal and geospatial references. The proposed integrated sensor addresses these issues by synchronizing GNSS and an accelerometer's time and geospatial coordinate reference. This allows for a more accurate and reliable deformation and vibration measurement for bridge monitoring. The performance of the new sensor was assessed using a high-quality/cost Leica GM30 GNSS receiver and a Sherborne A545 accelerometer. Experiments conducted on the Wilford suspension bridge demonstrate the effectiveness of this innovative integrated sensor in measuring deformation and vibration for bridge health monitoring. The limitation of the low-cost MEMS (Micro Electromechanical System) accelerometer for the weak motion frequency detection is also pointed out.

Keyword:

time synchronization bridge health monitoring geospatial references GNSS and accelerometer integrated sensor

Author Community:

  • [ 1 ] [Xie, Yilin]Jiangsu Hydraul Res Inst, Nanjing 210017, Peoples R China
  • [ 2 ] [Li, Haiyang]Jiangsu Hydraul Res Inst, Nanjing 210017, Peoples R China
  • [ 3 ] [Zhang, Song]No 1 Inst Geol & Mineral Resources Shandong Prov, Jinan 250014, Peoples R China
  • [ 4 ] [Zhang, Song]Key Lab Cableway Intelligent Deformat Monitoring S, Jinan 250109, Peoples R China
  • [ 5 ] [Meng, Xiaolin]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Meng, Xiaolin]Imperial Coll London, London SW7 2BX, England
  • [ 7 ] [Nguyen, Dinh Tung]RWDI UK Ltd, Milton Keynes MK11 3EA, England
  • [ 8 ] [Ye, George]UbiPOS UK Ltd, Nottingham NG7 1QE, England

Reprint Author's Address:

  • [Meng, Xiaolin]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China;;[Meng, Xiaolin]Imperial Coll London, London SW7 2BX, England

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Source :

REMOTE SENSING

Year: 2024

Issue: 4

Volume: 16

5 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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