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MQTT Based Event Detection System for Structural Health Monitoring of Buildings

  • Universidad de Cuenca

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

2 Scopus citations

Abstract

Structural Health Monitoring (SHM) consists in a fundamental research field which aim to evaluate the current status of an infrastructure with the main purpose to identify damages and prevent catastrophic events. This paper presents an SHM solution that implements an automatic system based on the MQTT protocol and IoT devices for detecting seismic events. In particular, the architecture consists of a set of accelerometer sensors which communicate by means of a decentralized network topology (i.e., an Ad hoc Network configuration). Moreover, the system has the capacity to transmit the information about the events detected in real-time using cloud services. In order to verify the proper operation, the system was deployed on an actual building and the information acquired by the sensors was registered along four months. In this context, a relevant event detected was selected for analyzing the dynamic response of the building during a seism. Results show that the acceleration values increase as a function of the building height. Regarding the seismic event analyzed, the RMS values of acceleration identified on the basement were 0.26, 0.22, and 0.22 cm/s2 and in the case of the eighth floor were 1.18, 1.33, and 0.59 cm/s2 for the longitudinal, transverse, and vertical axes, respectively. Additionally, a first assessment regarding the structural health status of the building was performed through the OMA methodology (Operational Modal Analysis). Specifically, the FDD (Frequency Domain Decomposition) mechanism was used to determine the first four frequencies and its respective vibration modes.

Original languageEnglish
Title of host publicationEmerging Research in Intelligent Systems - Proceedings of the CIT 2021
EditorsMiguel Botto-Tobar, Henry Cruz, Angela Díaz Cadena, Benjamin Durakovic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages56-70
Number of pages15
ISBN (Print)9783030960421
DOIs
StatePublished - 2022
Event16th Multidisciplinary International Congress on Science and Technology, CIT 2021 - Quito, Ecuador
Duration: 14 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Networks and Systems
Volume405 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference16th Multidisciplinary International Congress on Science and Technology, CIT 2021
Country/TerritoryEcuador
CityQuito
Period14/06/2118/06/21

Keywords

  • Event detection
  • IoT
  • MQTT
  • Operational Modal Analysis
  • Structural Health
  • WSN

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