Skip to main navigation Skip to search Skip to main content

IoT-Based Sensor Nodes for Structural Health Monitoring of Bridges

  • José Luis Molina
  • , Darwin Zhagñay
  • , Milton Muñoz
  • , Remigio Guevara
  • , Santiago González
  • , Jaime Enrique García

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationArtificial Intelligence, Computer and Software Engineering Advances - Proceedings of the CIT 2020
EditorsMiguel Botto-Tobar, Henry Cruz, Angela Díaz Cadena
PublisherSpringer Science and Business Media Deutschland GmbH
Pages263-277
Number of pages15
ISBN (Print)9783030680794
DOIs
StatePublished - 2021
Externally publishedYes
Event15th Multidisciplinary International Congress on Science and Technology, CIT 2020 - Quito, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1326 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference15th Multidisciplinary International Congress on Science and Technology, CIT 2020
Country/TerritoryEcuador
CityQuito
Period26/10/2030/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Internet of Things
  • MEMS sensor
  • Structural Health Monitoring
  • Wireless Sensor Networks

Fingerprint

Dive into the research topics of 'IoT-Based Sensor Nodes for Structural Health Monitoring of Bridges'. Together they form a unique fingerprint.

Cite this