Skip to main content
SpringerLink
Log in

An Optical Embedded MEMS-Based System for Real-Time Structural Health Monitoring

  • Conference paper
  • First Online:
Recent Advances in Structural Health Monitoring and Engineering Structures

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 296 Accesses

Abstract

Structural health monitoring (SHM) is a very multidisciplinary field requiring sensing technologies, data science, and civil engineering. However, among the main issues currently on field, it is the development of new sensors that allow recognizing and alerting of abnormal vibration of the building due to, for example, an earthquake. The objective of this paper is to propose a new remote online monitoring system of building and structure health based on optical embedded micro-electromechanical system (MEMS). The proposed system is mainly composed of a MEMS sensor accelerometer and a digital signal processing (DSP) unit, where its built-in logic block observation registers integrate optical probes, thus forming optical BILBO registers (OBILBOs). Therefore, each formed OBILBO register, configured in its parallel load mode, permits to send at remote system and in real-time way optical beams corresponding to the logic states of its outputs. Hence, with the use of simple PIN diodes and after an analog/digital conversion, the received data can be compared to those pre-stored of a reference model, in order to perform anomaly detection and thus to be warned whether the vibration response is of damaged or healthy structure. We should note that not only low-cost devices are required to implement our SHM system but also it can be easily deployed anywhere, according to our specific need, without permanent installation in infrastructure systems. The simulation results showed that detecting vibrations in buildings can be achieved by the proposed SHM system remotely and in real-time way to assess their structural health conditions in order to ensure safe exploitation of these structures.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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. Abramovici M, Breuer MA, Friedman AD (1994) Digital systems testing revised. Wiley, New York

    Google Scholar 

  2. Arcadius Tokognon C, Gao B, Tian GY, Yan Y (2017) Structural health monitoring framework based on internet of things: a survey. IEEE Internet Things J 4(3):619–635. https://doi.org/10.1109/JIOT.2017.2664072

    Article  Google Scholar 

  3. Brownjohn J (2006) Structural health monitoring of civil infrastructure. Philos Trans Royal Soc Math Phys Eng Sci 365(1851):589–622 https://doi.org/10.1098/rsta.2006.1925

  4. Chang FK, Markmiller JF, Yang J, Kim Y (2011) Structural health monitoring. System health management: with aerospace applications, pp 419–428

    Google Scholar 

  5. Chang PC, Flatau A, Liu S (2003) Health monitoring of civil infrastructure. Struct Health Monit 2(3):257–267. https://doi.org/10.1177/1475921703036169

    Article  Google Scholar 

  6. Farrar CR, Worden K (2006) An introduction to structural health monitoring. Philos Trans Roy Soc A Math Phys Eng Sci 365(1851):303–315. https://doi.org/10.1098/rsta.2006.1928

    Article  Google Scholar 

  7. Giurgiutiu V, Santoni-Bottai G (2011) Structural health monitoring of composite structures with piezoelectric-wafer active sensors. AIAA J 49(3):565–581

    Article  Google Scholar 

  8. Huang HB, Yi TH, Li HN (2020) Anomaly identification of structural health monitoring data using dynamic independent component analysis. J Comput Civ Eng 34(5):04020025. https://doi.org/10.1061/(asce)cp.1943-5487.0000905

    Article  Google Scholar 

  9. Kanwar VS, Kwatra N, Aggarwal P, Gambir M (2008) Health monitoring of RCC building model experimentally and its analytical validation. Eng Comput 25(7):677–693. https://doi.org/10.1108/02644400810899960

  10. Latoui A, Djahli F (2013) An optical BILBO for online testing of embedded systems. IEEE Des Test 30(3):34–48. https://doi.org/10.1109/mdt.2012.2204398

  11. Lopez-Higuera JM, Cobo LR, Incera AQ, Cobo A (2011) Fiber optic sensors in structural health monitoring. J Lightw Technol 29(4):587–608. https://doi.org/10.1109/jlt.2011.2106479

    Article  Google Scholar 

  12. Lynch JP, Loh KJ (2006) A summary review of wireless sensors and sensor networks for structural health monitoring. Shock Vib Dig 38(2):91–130

    Article  Google Scholar 

  13. Mao P, Qi J, Tan Y, Li J (2017) An examination of factors affecting healthy building: an empirical study in east China. J Clean Product 162:1266–1274. https://doi.org/10.1016/j.jclepro.2017.06.165

    Article  Google Scholar 

  14. Morgenthal G, Höpfner H (2012) The application of smartphones to measuring transient structural displacements. J Civ Struct Health Monit 2(3–4):149–161

    Article  Google Scholar 

  15. Muttillo M, Stornelli V, Alaggio R, Paolucci R, Battista LD, de Rubeis T, Ferri G (2020) Structural health monitoring: an IoT sensor system for structural damage indicator evaluation. Sensors 20(17):4908. https://doi.org/10.3390/s20174908

    Article  Google Scholar 

  16. Nagayama T, Spencer BF Jr (2007) Structural health monitoring using smart sensors. Technical report. Newmark Structural Engineering Laboratory. University of Illinois at Urbana

    Google Scholar 

  17. Noel AB, Abdaoui A, Elfouly T, Ahmed MH, Badawy A, Shehata MS (2017) Structural health monitoring using wireless sensor networks: A comprehensive survey. IEEE Commun Surv Tutor 19(3):1403–1423. https://doi.org/10.1109/comst.2017.2691551

    Article  Google Scholar 

  18. Paek J, Chintalapudi K, Govindan R, Caffrey J, Masri S (2005) A wireless sensor network for structural health monitoring: performance and experience. In: The second IEEE workshop on embedded networked sensors, 2005. EmNetS-II. IEEE, pp 1–9

    Google Scholar 

  19. Pentaris F, Makris J, Stonham J, Vallianatos F (2012) Principles in wireless building health monitoring systems. In: EGU general assembly conference abstracts, p 13239

    Google Scholar 

  20. Rainieri C, Dey A, Laorenza C, Fabbrocino G, de Magistris FS (2011) Ambient vibration based modal identification of a flexible retaining wall. In: Civil engineering topics, vol 4. Springer, New York, pp 349–356. https://doi.org/10.1007/978-1-4419-9316-8_33

  21. Rainieri C, Fabbrocino G, Cosenza E (2010) Structural health monitoring through automated OMA techniques in operation and during seismic events. In: The 14th European conference on earthquake engineering-14th ECEE, pp 5315–5322

    Google Scholar 

  22. Sabato A, Niezrecki C, Fortino G (2017) Wireless MEMS-based accelerometer sensor boards for structural vibration monitoring: a review. IEEE Sens J 17(2):226–235. https://doi.org/10.1109/jsen.2016.2630008

    Article  Google Scholar 

  23. Szewczyk R, Mainwaring A, Polastre J, Anderson J, Culler D (2004) An analysis of a large scale habitat monitoring application. In: Proceedings of the 2nd international conference on embedded networked sensor systems, pp 214–226

    Google Scholar 

  24. Wang P, Yan Y, Tian GY, Bouzid O, Ding Z (2012) Investigation of wireless sensor networks for structural health monitoring. J Sens 2012:1–7. https://doi.org/10.1155/2012/156329

    Article  Google Scholar 

  25. Zonzini F, Aguzzi C, Gigli L, Sciullo L, Testoni N, Marchi LD, Felice MD, Cinotti TS, Mennuti C, Marzani A (2020) Structural health monitoring and prognostic of industrial plants and civil structures: a sensor to cloud architecture. IEEE Instrum Meas Mag 23(9):21–27. https://doi.org/10.1109/mim.2020.9289069

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics, Faculty of Sciences and Technology, Mohamed El Bachir El Ibrahimi University, 34030, Bordj Bou Arreridj, Algeria

    Abdelhakim Latoui

  2. ETA Laboratory, Department of Electronics, Faculty of Sciences and Technology, Mohamed El Bachir El Ibrahimi University, 34030, Bordj Bou Arreridj, Algeria

    Mohamed El Hossine Daachi

Authors
  1. Abdelhakim Latoui
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohamed El Hossine Daachi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Abdelhakim Latoui .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of, Surat, India

    Ravipudi Venkata Rao

  2. Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium

    Samir Khatir

  3. Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam

    Thanh Cuong-Le

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Latoui, A., Daachi, M.E.H. (2023). An Optical Embedded MEMS-Based System for Real-Time Structural Health Monitoring. In: Rao, R.V., Khatir, S., Cuong-Le, T. (eds) Recent Advances in Structural Health Monitoring and Engineering Structures. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4835-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-4835-0_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-4834-3

  • Online ISBN: 978-981-19-4835-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation