Repositório Institucional

    • Login
    View Item 
    •   DSpace Home
    • Engenharia
    • Anais de Eventos
    • View Item
    •   DSpace Home
    • Engenharia
    • Anais de Eventos
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of DSpaceCommunities & CollectionsAuthorsSubjectsThis CollectionAuthorsSubjects

    My Account

    LoginRegister

    Development of an IoT-based Structural Parameter Monitoring System

    xmlui.dri2xhtml.METS-1.0.item-type
    Trabalho apresentado em evento
    Date
    2023
    Author
    Martins, Andressa Corrente
    Monobi, Felipe Minoru Costa
    Roberto, Julia Meneses
    Lyra, Pedro Henrique Cerento de
    Souza, Gustavo Fernandes de
    Metadata
    Show full item record
    Abstract
    The present work is dedicated to exploring the potential of Internet of Things (IoT) technology with the aim of promoting a novel application within the realm of civil engineering. Specifically, the research aims to demonstrate the development of a system enabling continuous real-time monitoring of essential structural parameters. Traditionally, the detection of damages and structural failures relied on periodic visual inspections and manual analyses, leading to reactive responses and delayed diagnoses. In contrast, the proposed IoT-based system offers the capability to collect real-time data, enabling early anomaly detection, prediction of potential failures, and informed decision-making regarding maintenance and repairs. The article elucidates the design and implementation of the system, highlighting the integration of sensors, wireless communication devices, and data analysis and processing algorithms, while also presenting test results that showcase the system's effectiveness in detecting subtle changes in critical structural parameters in a controlled environment. © 2023 IEEE.
    1. Internet of Things (IoT)
    2. Real-time Detection
    3. Structural Monitoring
    4. Anomaly detection
    5. Damage detection
    6. Data handling
    7. Decision making
    8. Failure (mechanical)
    9. Fracture mechanics
    10. Signal detection
    11. Damage failures
    12. Internet of thing
    13. Internet of things technologies
    14. Monitoring system
    15. Novel applications
    16. Parameter monitoring
    17. Real time monitoring
    18. Real-time detection
    19. Structural monitoring
    20. Structural parameter
    21. Internet of things
    URI
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184812010&doi=10.1109%2fSIoT60039.2023.10390107&partnerID=40&md5=d96eb166bc897a1a758c041d2a906496
    https://repositorio.maua.br/handle/MAUA/642
    Collections
    • Anais de Eventos

    Related items

    Showing items related by title, author, creator and subject.

    • Development of a Remote and Low-Cost Bridge Monitoring System  (Trabalho apresentado em evento)

      Soares Junior, Airton Brandini; Lage, Gabriel Emídio; Caruso, Natália C.; Antonine, Epaminondas; Lyra, Pedro Henrique Cerento de (Springer Science and Business Media B.V., 2023)
      Structures made from concrete, metal or any other material, are designed to have a long service life. However, to ensure a durable structure, it must have constant and efficient maintenance. Structural Health Monitoring ...
    • Monitoring and control of coating and granulation processes in fluidized beds - A review  (Artigo de Periódico)

      Silva, Carlos Alexandre Moreira da; Butzge Jr., José; Nitz, Marcello; Taranto, Osvaldir Pereira (Elsevier, 2014)
      This review presents a compilation of works of the main techniques for monitoring and control fluidization regimes, particle size and moisture content during coating and granulation processes in the fluidized bed. The ...
    • Improving the accuracy of the Water Detect algorithm using Sentinel-2, Planetscope and sharpened imagery: a case study in an intermittent river  (Artigo de Periódico)

      Tayer, Thiaggo C.; Douglas, Michael M.; Cordeiro, Maurício C. R.; Tayer, André D.N.; Callow, J. Nik; Beesley, Leah; McFarlane, Don (Taylor and Francis Ltd., 2023)
      Mapping surface water using remotely sensed optical imagery is a particular challenge in intermittent rivers because water contracts down to narrow linear features and isolated pools, which require accurate water detection ...

    Contact Us | Send Feedback
    Instituto Mauá de Tecnologia - Todos os direitos reservados 2021
     

     


    Contact Us | Send Feedback
    Instituto Mauá de Tecnologia - Todos os direitos reservados 2021