Abstract
In this paper a IoT based data acquisition (DAQ) system has been developed for acquisition of the data from acoustic emission sensor for structural health monitoring (SHM) of the steel bridge using acoustic emission technique. The DAQ device is developed by using Raspberry Pi 3 Model B+ interfaced with a high-speed 1 MSPS and 16 bit ADC ADAQ7980 to capture the high frequency acoustic emission signal generated by crack related activities on the surface of the steel structure for real-time monitoring, identification and localisation of any crack happening on the structure through cloud computing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tokognon, C.A., Gao, B., Tian, G.Y., Yan, Y.: Structural health monitoring framework based on ınternet of things: a survey. IEEE Internet Things J. 4(3), 619–635 (2017)
Myers, A., Mahmud, M.A., Abdelgawad, A., Yelamarthi, K.: Toward integrating structural health monitoring with Internet of Things (IoT). In: 2016 IEEE International Conference on Electro Information Technology (EIT), Grand Forks, ND, pp. 0438–0441 (2016)
Heo, G., Son, B., Kim, C., Jeon, S., Jeon, J.: Development of a wireless unified-maintenance system for the structural health monitoring of civil structures. Sensors 18, 2–16 (2018)
Heo, G., Jeon, J.: A smart monitoring system based on ubiquitous computing technique for infra-structural system: centering on identification of dynamic characteristics of self-anchored suspension bridge. KSCE J. Civil Eng. 13(5), 333–337 (2009)
Zhang, H., Guo, J., Xie, X., Bie, R., Sun, Y.: Environmental effect removal based structural health monitoring in the ınternet of things. In: Proceedings of the IEEE 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 512–517 (2013)
Myers, A., Mahmud, M.A., Abdelgawad, A., Yelamarthi, K.: Toward integrating structural health monitoring with Internet of Things (IoT). In: Proceedings of the IEEE International Conference on Electro Information Technology (EIT), pp. 438–441 (2016)
Panthati, S., Kashyap, A.A.: Design and implementation of structural health monitoring based on IoT using lab VIEW. Int. J. Mag. Eng. Technol. Manag. Res. 3(2), 77–82 (2016)
Pandey, S., Haider, M., Uddin, N.: Design and implementation of a low-cost wireless platform for remote bridge health monitoring. Int. J. Emerg. Technol. Adv. Eng. 6(6), 57–62 (2016)
Nair, A., Cai, C.S.: Acoustic emission monitoring of bridges: review and case studies. Eng. Struct. 32(6), 1704–1714 (2010)
https://www.analog.com/media/en/technical-documentation/data-sheets/ADAQ7980-7988.pdf
https://www.raspberrypi.org/products/raspberry-pi-3-model-b-plus/
https://www.analog.com/media/en/technical-documentation/user-guides/EVAL-ADAQ7980SDZ-UG-1060.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Mukherjee, A., Maurya, A., Karmakar, P., Bhattacharjee, P. (2020). Internet of Things Based Data Acquisition System of Acoustic Emission Sensor for Structural Health Monitoring Applications. In: Hemanth, D., Shakya, S., Baig, Z. (eds) Intelligent Data Communication Technologies and Internet of Things. ICICI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-030-34080-3_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-34080-3_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34079-7
Online ISBN: 978-3-030-34080-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)