Automated wireless monitoring system for cable tension using smart sensors

Sung Han Sim; Jian Li; Hongki Jo; Jongwoong Park; Soojin Cho; Billie F. Spencer; Chung Bang Yun

doi:10.1117/12.2009552

Automated wireless monitoring system for cable tension using smart sensors

Sung Han Sim
, Jian Li
, Hongki Jo
, Jongwoong Park
, Soojin Cho
, Billie F. Spencer
, Chung Bang Yun

Ulsan National Institute of Science and Technology
University of Illinois at Urbana-Champaign
Korea Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Cables are critical load carrying members of cable-stayed bridges; monitoring tension forces of the cables provides valuable information for SHM of the cable-stayed bridges. Monitoring systems for the cable tension can be efficiently realized using wireless smart sensors in conjunction with vibration-based cable tension estimation approaches. This study develops an automated cable tension monitoring system using MEMSIC's Imote2 smart sensors. An embedded data processing strategy is implemented on the Imote2-based wireless sensor network to calculate cable tensions using a vibration-based method, significantly reducing the wireless data transmission and associated power consumption. The autonomous operation of the monitoring system is achieved by AutoMonitor, a high-level coordinator application provided by the Illinois SHM Project Services Toolsuite. The monitoring system also features power harvesting enabled by solar panels attached to each sensor node and AutoMonitor for charging control. The proposed wireless system has been deployed on the Jindo Bridge, a cable-stayed bridge located in South Korea. Tension forces are autonomously monitored for 12 cables in the east, land side of the bridge, proving the validity and potential of the presented tension monitoring system for real-world applications.

Original language	English
Title of host publication	Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Publisher	SPIE
ISBN (Print)	9780819494757
DOIs	https://doi.org/10.1117/12.2009552
State	Published - 2013
Externally published	Yes
Event	2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013 - San Diego, CA, United States Duration: 10 Mar 2013 → 14 Mar 2013

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8692
ISSN (Print)	0277-786X

Conference

Conference	2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Country/Territory	United States
City	San Diego, CA
Period	10/03/13 → 14/03/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Automated monitoring
Cable
Cable tension
Smart sensor
Structural health monitoring
Wireless smart sensor network

Access to Document

10.1117/12.2009552

Cite this

Sim, S. H., Li, J., Jo, H., Park, J., Cho, S., Spencer, B. F., & Yun, C. B. (2013). Automated wireless monitoring system for cable tension using smart sensors. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013 Article 86922B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8692). SPIE. https://doi.org/10.1117/12.2009552

@inproceedings{42c5e8bcadbb4e9184350af85d87b1b5,

title = "Automated wireless monitoring system for cable tension using smart sensors",

abstract = "Cables are critical load carrying members of cable-stayed bridges; monitoring tension forces of the cables provides valuable information for SHM of the cable-stayed bridges. Monitoring systems for the cable tension can be efficiently realized using wireless smart sensors in conjunction with vibration-based cable tension estimation approaches. This study develops an automated cable tension monitoring system using MEMSIC's Imote2 smart sensors. An embedded data processing strategy is implemented on the Imote2-based wireless sensor network to calculate cable tensions using a vibration-based method, significantly reducing the wireless data transmission and associated power consumption. The autonomous operation of the monitoring system is achieved by AutoMonitor, a high-level coordinator application provided by the Illinois SHM Project Services Toolsuite. The monitoring system also features power harvesting enabled by solar panels attached to each sensor node and AutoMonitor for charging control. The proposed wireless system has been deployed on the Jindo Bridge, a cable-stayed bridge located in South Korea. Tension forces are autonomously monitored for 12 cables in the east, land side of the bridge, proving the validity and potential of the presented tension monitoring system for real-world applications.",

keywords = "Automated monitoring, Cable, Cable tension, Smart sensor, Structural health monitoring, Wireless smart sensor network",

author = "Sim, \{Sung Han\} and Jian Li and Hongki Jo and Jongwoong Park and Soojin Cho and Spencer, \{Billie F.\} and Yun, \{Chung Bang\}",

year = "2013",

doi = "10.1117/12.2009552",

language = "English",

isbn = "9780819494757",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

booktitle = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013",

note = "2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013 ; Conference date: 10-03-2013 Through 14-03-2013",

}

Sim, SH, Li, J, Jo, H, Park, J, Cho, S, Spencer, BF & Yun, CB 2013, Automated wireless monitoring system for cable tension using smart sensors. in Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013., 86922B, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8692, SPIE, 2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, San Diego, CA, United States, 10/03/13. https://doi.org/10.1117/12.2009552

Automated wireless monitoring system for cable tension using smart sensors. / Sim, Sung Han; Li, Jian; Jo, Hongki et al.
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013. SPIE, 2013. 86922B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8692).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automated wireless monitoring system for cable tension using smart sensors

AU - Sim, Sung Han

AU - Li, Jian

AU - Jo, Hongki

AU - Park, Jongwoong

AU - Cho, Soojin

AU - Spencer, Billie F.

AU - Yun, Chung Bang

PY - 2013

Y1 - 2013

N2 - Cables are critical load carrying members of cable-stayed bridges; monitoring tension forces of the cables provides valuable information for SHM of the cable-stayed bridges. Monitoring systems for the cable tension can be efficiently realized using wireless smart sensors in conjunction with vibration-based cable tension estimation approaches. This study develops an automated cable tension monitoring system using MEMSIC's Imote2 smart sensors. An embedded data processing strategy is implemented on the Imote2-based wireless sensor network to calculate cable tensions using a vibration-based method, significantly reducing the wireless data transmission and associated power consumption. The autonomous operation of the monitoring system is achieved by AutoMonitor, a high-level coordinator application provided by the Illinois SHM Project Services Toolsuite. The monitoring system also features power harvesting enabled by solar panels attached to each sensor node and AutoMonitor for charging control. The proposed wireless system has been deployed on the Jindo Bridge, a cable-stayed bridge located in South Korea. Tension forces are autonomously monitored for 12 cables in the east, land side of the bridge, proving the validity and potential of the presented tension monitoring system for real-world applications.

AB - Cables are critical load carrying members of cable-stayed bridges; monitoring tension forces of the cables provides valuable information for SHM of the cable-stayed bridges. Monitoring systems for the cable tension can be efficiently realized using wireless smart sensors in conjunction with vibration-based cable tension estimation approaches. This study develops an automated cable tension monitoring system using MEMSIC's Imote2 smart sensors. An embedded data processing strategy is implemented on the Imote2-based wireless sensor network to calculate cable tensions using a vibration-based method, significantly reducing the wireless data transmission and associated power consumption. The autonomous operation of the monitoring system is achieved by AutoMonitor, a high-level coordinator application provided by the Illinois SHM Project Services Toolsuite. The monitoring system also features power harvesting enabled by solar panels attached to each sensor node and AutoMonitor for charging control. The proposed wireless system has been deployed on the Jindo Bridge, a cable-stayed bridge located in South Korea. Tension forces are autonomously monitored for 12 cables in the east, land side of the bridge, proving the validity and potential of the presented tension monitoring system for real-world applications.

KW - Automated monitoring

KW - Cable

KW - Cable tension

KW - Smart sensor

KW - Structural health monitoring

KW - Wireless smart sensor network

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M3 - Conference contribution

AN - SCOPUS:84878710543

SN - 9780819494757

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013

PB - SPIE

T2 - 2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013

Y2 - 10 March 2013 through 14 March 2013

ER -

Automated wireless monitoring system for cable tension using smart sensors

Abstract

Publication series

Conference

UN SDGs

Keywords

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