A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks

Der Cherng Liaw; Chiung Ren Huang; Hung Tse Lee; Sushil Kumar

doi:10.1007/978-981-15-1518-7_19

A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks

Der Cherng Liaw^*, Chiung Ren Huang, Hung Tse Lee, Sushil Kumar

^*Corresponding author for this work

Institute of Electrical and Control Engineering

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

Abstract

In this paper, an intelligent structural health monitoring platform is proposed with an example study of vibration signal detection on a multi-floor building. The platform is consisted of self-designed hardware devices and graphical user monitoring interface. In addition, the proposed framework is a three-layered architecture. Among them, the first layer is a wireless sensor network client which is deployed on the top three floors of a nine-floor building to collect vibrational data. The second layer is laptop computer which is connected with a master WSN node to collect the data sensed by slave nodes. All data packets will then be transmitted to master computer by laptop computer. The master computer plays the role of the third network layer and is responsible for post-data processing and signal monitoring. A testing experiment is also given to demonstrate the function of the proposed platform.

Original language	English
Title of host publication	Ambient Communications and Computer Systems - RACCCS 2019
Editors	Yu-Chen Hu, Shailesh Tiwari, Munesh C. Trivedi, K.K. Mishra
Publisher	Springer
Pages	231-242
Number of pages	12
ISBN (Print)	9789811515170
DOIs	https://doi.org/10.1007/978-981-15-1518-7_19
State	Published - 14 Mar 2020
Event	International Conference on Recent Advancement in Computer, Communication and Computational Sciences, RACCCS 2019 - Ajmer, India Duration: 16 Aug 2019 → 17 Aug 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1097
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Recent Advancement in Computer, Communication and Computational Sciences, RACCCS 2019
Country	India
City	Ajmer
Period	16/08/19 → 17/08/19

Keywords

Intelligent platform
Structural health monitoring
WSN

Access to Document

10.1007/978-981-15-1518-7_19

Fingerprint Dive into the research topics of 'A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks'. Together they form a unique fingerprint.

Cite this

Liaw, D. C., Huang, C. R., Lee, H. T., & Kumar, S. (2020). A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks. In Y-C. Hu, S. Tiwari, M. C. Trivedi, & K. K. Mishra (Eds.), Ambient Communications and Computer Systems - RACCCS 2019 (pp. 231-242). (Advances in Intelligent Systems and Computing; Vol. 1097). Springer. https://doi.org/10.1007/978-981-15-1518-7_19

@inproceedings{2db4325495ca4dcaaf5131df6b3c4c0e,

title = "A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks",

abstract = "In this paper, an intelligent structural health monitoring platform is proposed with an example study of vibration signal detection on a multi-floor building. The platform is consisted of self-designed hardware devices and graphical user monitoring interface. In addition, the proposed framework is a three-layered architecture. Among them, the first layer is a wireless sensor network client which is deployed on the top three floors of a nine-floor building to collect vibrational data. The second layer is laptop computer which is connected with a master WSN node to collect the data sensed by slave nodes. All data packets will then be transmitted to master computer by laptop computer. The master computer plays the role of the third network layer and is responsible for post-data processing and signal monitoring. A testing experiment is also given to demonstrate the function of the proposed platform.",

keywords = "Intelligent platform, Structural health monitoring, WSN",

author = "Liaw, {Der Cherng} and Huang, {Chiung Ren} and Lee, {Hung Tse} and Sushil Kumar",

year = "2020",

month = mar,

day = "14",

doi = "10.1007/978-981-15-1518-7_19",

language = "English",

isbn = "9789811515170",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "231--242",

editor = "Yu-Chen Hu and Shailesh Tiwari and Trivedi, {Munesh C.} and K.K. Mishra",

booktitle = "Ambient Communications and Computer Systems - RACCCS 2019",

note = "null ; Conference date: 16-08-2019 Through 17-08-2019",

}

Liaw, DC, Huang, CR, Lee, HT & Kumar, S 2020, A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks. in Y-C Hu, S Tiwari, MC Trivedi & KK Mishra (eds), Ambient Communications and Computer Systems - RACCCS 2019. Advances in Intelligent Systems and Computing, vol. 1097, Springer, pp. 231-242, International Conference on Recent Advancement in Computer, Communication and Computational Sciences, RACCCS 2019, Ajmer, India, 16/08/19. https://doi.org/10.1007/978-981-15-1518-7_19

A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks. / Liaw, Der Cherng; Huang, Chiung Ren; Lee, Hung Tse; Kumar, Sushil.

Ambient Communications and Computer Systems - RACCCS 2019. ed. / Yu-Chen Hu; Shailesh Tiwari; Munesh C. Trivedi; K.K. Mishra. Springer, 2020. p. 231-242 (Advances in Intelligent Systems and Computing; Vol. 1097).

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

TY - GEN

T1 - A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks

AU - Liaw, Der Cherng

AU - Huang, Chiung Ren

AU - Lee, Hung Tse

AU - Kumar, Sushil

PY - 2020/3/14

Y1 - 2020/3/14

N2 - In this paper, an intelligent structural health monitoring platform is proposed with an example study of vibration signal detection on a multi-floor building. The platform is consisted of self-designed hardware devices and graphical user monitoring interface. In addition, the proposed framework is a three-layered architecture. Among them, the first layer is a wireless sensor network client which is deployed on the top three floors of a nine-floor building to collect vibrational data. The second layer is laptop computer which is connected with a master WSN node to collect the data sensed by slave nodes. All data packets will then be transmitted to master computer by laptop computer. The master computer plays the role of the third network layer and is responsible for post-data processing and signal monitoring. A testing experiment is also given to demonstrate the function of the proposed platform.

AB - In this paper, an intelligent structural health monitoring platform is proposed with an example study of vibration signal detection on a multi-floor building. The platform is consisted of self-designed hardware devices and graphical user monitoring interface. In addition, the proposed framework is a three-layered architecture. Among them, the first layer is a wireless sensor network client which is deployed on the top three floors of a nine-floor building to collect vibrational data. The second layer is laptop computer which is connected with a master WSN node to collect the data sensed by slave nodes. All data packets will then be transmitted to master computer by laptop computer. The master computer plays the role of the third network layer and is responsible for post-data processing and signal monitoring. A testing experiment is also given to demonstrate the function of the proposed platform.

KW - Intelligent platform

KW - Structural health monitoring

KW - WSN

UR - http://www.scopus.com/inward/record.url?scp=85081933665&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-1518-7_19

DO - 10.1007/978-981-15-1518-7_19

M3 - Conference contribution

AN - SCOPUS:85081933665

SN - 9789811515170

T3 - Advances in Intelligent Systems and Computing

SP - 231

EP - 242

BT - Ambient Communications and Computer Systems - RACCCS 2019

A2 - Hu, Yu-Chen

A2 - Tiwari, Shailesh

A2 - Trivedi, Munesh C.

A2 - Mishra, K.K.

PB - Springer

Y2 - 16 August 2019 through 17 August 2019

ER -