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IoT-Based Sensor Nodes for Structural Health Monitoring of Bridges

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Artificial Intelligence, Computer and Software Engineering Advances (CIT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1326))

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Abstract

The road infrastructure represents a strategic area for the planification and development of urban and rural environments. In this context, essential facilities such as bridges are subject to damages mainly due to the daily load that represents the vehicular traffic, the environmental conditions and also due to the natural degradation of the structural elements. Therefore, it is fundamental performs a continuous evaluation about the state of an infrastructure. Following, this purpose, this paper presents an architecture for the Structural Health Monitoring (SHM) focused on bridges. The proposal solution involves the application of emerging technologies such as MEMS accelerometers, IoT devices and the deployment of a Wireless Sensor Network topology. Particularly, the architecture implemented consists of a set of ten sensor nodes which are management and synchronized by means of a central station. Furthermore, an additional node with capacity of capture and video recording was implemented Therefore, this last node provides to the system with a visual option for identifying the connection between the accelerations values and the vehicular traffic. In order to evaluated the system, the architecture was deployed along a bridge characterized by a heavy traffic load. Results on the scenario reveals the system allows for determining the main parameters related to state of the structure (i.e., acceleration values, load distribution and the fundamental frequencies of vibration). Consequently, the proposal architecture contributes significantly in the development of solutions focused in the analysis and early detection of damages on essentials structures or facilities.

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Acknowledgment

This work is part of the research project “IoT Technologies and Wireless Sensor Networks for Structural Health Monitoring of Essential Facilities of the City of Cuenca”. The authors gratefully acknowledge to the Research Management Department of the University of Cuenca- Ecuador (DIUC), the RSA Department (Red Sísmica del Austro) for the support and resources provided during the development of this research work.

Author information

Authors and Affiliations

  1. Department of Electric, Electronic and Telecommunication Engineering, Cuenca, Ecuador

    José Luis Molina, Darwin Zhagñay & Santiago González

  2. Red Sísmica del Austro, Cuenca, Ecuador

    Milton Muñoz & Remigio Guevara

  3. Department of Civil Engineering, University of Cuenca, Av.12 de Abril, CP. 010203, Cuenca, Ecuador

    Jaime Enrique García

Authors
  1. José Luis Molina
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  2. Darwin Zhagñay
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  3. Milton Muñoz
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  4. Remigio Guevara
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  5. Santiago González
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  6. Jaime Enrique García
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Corresponding author

Correspondence to Santiago González .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Henry Cruz

  3. University of Valencia, Valencia, Valencia, Spain

    Angela Díaz Cadena

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Molina, J.L., Zhagñay, D., Muñoz, M., Guevara, R., González, S., García, J.E. (2021). IoT-Based Sensor Nodes for Structural Health Monitoring of Bridges. In: Botto-Tobar, M., Cruz, H., Díaz Cadena, A. (eds) Artificial Intelligence, Computer and Software Engineering Advances. CIT 2020. Advances in Intelligent Systems and Computing, vol 1326. Springer, Cham. https://doi.org/10.1007/978-3-030-68080-0_20

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