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Structural Health Monitoring and IoT: Opportunities and Challenges

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Intelligence of Things: Technologies and Applications (ICIT 2022)

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Abstract

As structures like sky scrappers get taller and bridges are getting longer, there is a need to closely monitor the health of the structures, particularly under varying environmental effects. The traditional wire-based structural health monitoring systems that require laying down cables are costly and time-consuming. New and miniaturised sensors coupled with Internet of Things (IoT) and powerful cloud computing platforms lead to a new cost-effective approach to SHM. This paper introduces Structural Health Monitoring (SHM), its conventional approaches of Visual, Destructive and Non-Destructive evaluations. After discussing the limitations of conventional SHM approaches, Internet of Things and its components are introduced. SHM with IoT, its strengths and challenges are reviewed in light of published literature. This is evident that SHM will benefit enormously from IoT, provided technical challenges like energy consumption, scalability, data security and reliability are handled.

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Acknowledgment

This research is funded by the Planning and Transport Research Centre (PATREC) and the iMOVE CRC and supported by the Cooperative Research Centres program, an Australian Government initiative.

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Authors and Affiliations

  1. The University of Western Australia, Perth, Australia

    Marzuki Kamal & Atif Mansoor

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  1. Marzuki Kamal
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  2. Atif Mansoor
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Correspondence to Marzuki Kamal .

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Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Sejong University, Seoul, Korea (Republic of)

    Nhu-Ngoc Dao

  3. Vietnam National University of Agriculture, Hanoi, Vietnam

    Quang-Dung Pham

  4. Hanoi University of Mining and Geology, Hanoi, Vietnam

    Hong Anh Le

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Kamal, M., Mansoor, A. (2022). Structural Health Monitoring and IoT: Opportunities and Challenges. In: Nguyen, NT., Dao, NN., Pham, QD., Le, H.A. (eds) Intelligence of Things: Technologies and Applications . ICIT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 148. Springer, Cham. https://doi.org/10.1007/978-3-031-15063-0_1

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