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Wireless Communications and Mobile Computing
Volume 2017, Article ID 6560797, 10 pages
Research Article

Internet of Things (IoT) Platform for Structure Health Monitoring

School of Engineering & Technology, Central Michigan University, ET100, Mount Pleasant, MI 48859, USA

Correspondence should be addressed to Ahmed Abdelgawad; ude.hcimc@a1ledba

Received 20 July 2016; Revised 6 October 2016; Accepted 19 October 2016; Published 16 January 2017

Academic Editor: Dajana Cassioli

Copyright © 2017 Ahmed Abdelgawad and Kumar Yelamarthi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Increase in the demand for reliable structural health information led to the development of Structural Health Monitoring (SHM). Prediction of upcoming accidents and estimation of useful life span of a structure are facilitated through SHM. While data sensing is the core of any SHM, tracking the data anytime anywhere is a prevailing challenge. With the advancement in information technology, the concept of Internet of Things (IoT) has made it possible to integrate SHM with Internet to track data anytime anywhere. In this paper, a SHM platform embedded with IoT is proposed to detect the size and location of damage in structures. The proposed platform consists of a Wi-Fi module, a Raspberry Pi, an Analog to Digital Converter (ADC), a Digital to Analog Converter (DAC), a buffer, and piezoelectric (PZT) sensors. The piezoelectric sensors are mounted as a pair in the structure. Data collected from the piezoelectric sensors will be used to detect the size and location of damage using a proposed mathematical model. Implemented on a Raspberry Pi, the proposed mathematical model will estimate the size and location of structural damage, if any, and upload the data to Internet. This data will be stored and can be checked remotely from any mobile device. The system has been validated using a real test bed in the lab.