Skip to main content

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

  • Conference paper
  • First Online:
Ambient Communications and Computer Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1097))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Patil, P.K., and S.R. Patil. 2017. Structural health monitoring system using WSN for bridges. In 2017 International conference on intelligent computing and control systems (ICICCS), Madurai, 371–375.

    Google Scholar 

  2. Patil, P.K., and S.R. Patil. 2017. Review on structural health monitoring system using WSN for bridges. In 2017 International conference of electronics, communication and aerospace technology (ICECA), Coimbatore, 628–631.

    Google Scholar 

  3. Risodkar, Y.R., and A.S. Pawar. 2016. A survey: structural health monitoring of bridge using WSN. In 2016 International conference on global trends in signal processing, information computing and communication (ICGTSPICC), Jalgaon, 615–618.

    Google Scholar 

  4. Liaw, D.-C., and T.-H. Lin. 2013. Development of an internet of civil infrastructure framework. Advanced Materials Research 684: 583–587.

    Article  Google Scholar 

  5. Al-Fuqaha, A., M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash. 2015. Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials 17 (4): 2347–2376.

    Article  Google Scholar 

  6. Zanella, A., N. Bui, A. Castellani, L. Vangelista, and M. Zorzi. 2014. Internet of things for smart cities. IEEE Internet of Things Journal 1 (1): 22–32.

    Article  Google Scholar 

  7. Xu, L.D., W. He, and S. Li. 2014. Internet of things in industries: a survey. IEEE Transactions on Industrial Informatics 10 (4): 2233–2243.

    Article  Google Scholar 

  8. Ganti, R.K., F. Ye, and H. Lei. 2011. Mobile crowd sensing: current state and future challenges. IEEE Communications Magazine 49 (11): 32–39.

    Article  Google Scholar 

  9. Stankovic, J.A. 2014. Research directions for the internet of things. IEEE Internet of Things Journal 1 (1): 3–9.

    Article  MathSciNet  Google Scholar 

  10. Lin, T.-H., and D.-C. Liaw. 2015. Development of an intelligent disaster information integrated platform for radiation monitoring. Natural Hazards 76 (3): 1711–1725.

    Article  Google Scholar 

  11. Liaw, D.-C., S.-M. Lo, and C.-H. Tsai. 2015. Development of a wireless sensor network monitoring platform for positioning systems. In The 2015 international automatic control conference (CACS2015), Yilan, Taiwan.

    Google Scholar 

  12. Liaw, D.-C., J.-H. Liao, Y.-C. Chang, C.-W. Tung, C.-C. Kuo, and L.-F. Tsai. 2016. A design of IoT platform for environment monitoring. In Proceedings of 2016 16th International Conference on Control, Automation and Systems (ICCAS 2016), Gyeongju, Korea.

    Google Scholar 

  13. Abrardo, A., L. Balucanti, M. Belleschi, C.M. Carretti, and A. Mecocci. 2010. Health monitoring of architectural heritage: the case study of San Gimignano. In 2010 IEEE workshop on environmental energy and structural monitoring systems, Taranto, 98–102.

    Google Scholar 

  14. Rajendra Dhage, M., and S. Vemuru. 2017. Structural health monitoring of railway tracks using WSN. In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), Pune, 1–5.

    Google Scholar 

  15. Callaway, Edgar H., Jr. 2003. Wireless sensor networks: architectures and protocols. CRC Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Der-Cherng Liaw .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liaw, DC., Huang, CR., Lee, HT., Kumar, S. (2020). A Case Study of Structural Health Monitoring by Using Wireless Sensor Networks. In: Hu, YC., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 1097. Springer, Singapore. https://doi.org/10.1007/978-981-15-1518-7_19

Download citation

Publish with us

Policies and ethics