Abstract
Edge computing can reduce the latency induced by the long communication path from end users to the cloud center in the Internet of Things (IoT). In this paper, we implement a vibration test of an underwater shield tunnel using a wired accelerometer network enhanced by edge computing to verify a vibration edge computing architecture that we propose. The cloudlet for edge computing can temporarily store raw data and analyze them simultaneously. It can also serve as the hub of the accelerometer. The acquired acceleration data and their results can be viewed on mobile devices in real time from the cloudlet. The results of measurements show that the amplitude of vibrations of components of the tunnel decreased distinctly from the pavement lane to the segment lining and the base. Moreover, the dominant frequency of a low-frequency band was determined by the tunnel–soil interaction, and represents the overall vibration characteristics of the tunnel–soil system along the Z-axis. The quickly analyzed online results agreed well with those of an offline simulation in terms of general trends. This study highlights the potential of the proposed vibration edge computing architecture for underwater shield tunnels.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 52-61 |
| Number of pages | 10 |
| Journal | Measurement: Journal of the International Measurement Confederation |
| Volume | 141 |
| DOIs | |
| State | Published - Jul 2019 |
Fingerprint
Keywords
- Accelerometer network
- Edge computing
- Internet of Things
- Shield tunnel
- Vibration characteristics
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering
Cite this
Fast vibration characteristics analysis of an underwater shield tunnel using the accelerometer network enhanced by edge computing. / Li, Chen dong; Zhang, Wei; Zhu, Hong Hu; Wang, Peng; Ren, Jia Tao; Spencer, B F.
In: Measurement: Journal of the International Measurement Confederation, Vol. 141, 07.2019, p. 52-61.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Fast vibration characteristics analysis of an underwater shield tunnel using the accelerometer network enhanced by edge computing
AU - Li, Chen dong
AU - Zhang, Wei
AU - Zhu, Hong Hu
AU - Wang, Peng
AU - Ren, Jia Tao
AU - Spencer, B F
PY - 2019/7
Y1 - 2019/7
N2 - Edge computing can reduce the latency induced by the long communication path from end users to the cloud center in the Internet of Things (IoT). In this paper, we implement a vibration test of an underwater shield tunnel using a wired accelerometer network enhanced by edge computing to verify a vibration edge computing architecture that we propose. The cloudlet for edge computing can temporarily store raw data and analyze them simultaneously. It can also serve as the hub of the accelerometer. The acquired acceleration data and their results can be viewed on mobile devices in real time from the cloudlet. The results of measurements show that the amplitude of vibrations of components of the tunnel decreased distinctly from the pavement lane to the segment lining and the base. Moreover, the dominant frequency of a low-frequency band was determined by the tunnel–soil interaction, and represents the overall vibration characteristics of the tunnel–soil system along the Z-axis. The quickly analyzed online results agreed well with those of an offline simulation in terms of general trends. This study highlights the potential of the proposed vibration edge computing architecture for underwater shield tunnels.
AB - Edge computing can reduce the latency induced by the long communication path from end users to the cloud center in the Internet of Things (IoT). In this paper, we implement a vibration test of an underwater shield tunnel using a wired accelerometer network enhanced by edge computing to verify a vibration edge computing architecture that we propose. The cloudlet for edge computing can temporarily store raw data and analyze them simultaneously. It can also serve as the hub of the accelerometer. The acquired acceleration data and their results can be viewed on mobile devices in real time from the cloudlet. The results of measurements show that the amplitude of vibrations of components of the tunnel decreased distinctly from the pavement lane to the segment lining and the base. Moreover, the dominant frequency of a low-frequency band was determined by the tunnel–soil interaction, and represents the overall vibration characteristics of the tunnel–soil system along the Z-axis. The quickly analyzed online results agreed well with those of an offline simulation in terms of general trends. This study highlights the potential of the proposed vibration edge computing architecture for underwater shield tunnels.
KW - Accelerometer network
KW - Edge computing
KW - Internet of Things
KW - Shield tunnel
KW - Vibration characteristics
UR - http://www.scopus.com/inward/record.url?scp=85064435052&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064435052&partnerID=8YFLogxK
U2 - 10.1016/j.measurement.2019.03.053
DO - 10.1016/j.measurement.2019.03.053
M3 - Article
AN - SCOPUS:85064435052
VL - 141
SP - 52
EP - 61
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
SN - 0263-2241
ER -