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Título : MQTT based event detection system for structural health monitoring of buildings
Autor: Placencia León, José Sebastián
Jimenez Pacheco, Juan Carlos
Gonzalez Martinez, Santiago Renan
Muñóz Calle, Milton Rodrigo
Palacios Serrano, Ivan Santiago
Samaniego Galindo, Victor Hugo
Correspondencia: Gonzalez Martinez, Santiago Renan, santiago.gonzalezm@ucuenca.edu.ec
Palabras clave : WSN
Event detection
Operational Modal Analysis
Structural Health
IoT
MQTT
Área de conocimiento FRASCATI amplio: 2. Ingeniería y Tecnología
Área de conocimiento FRASCATI detallado: 2.2.1 Ingeniería Eléctrica y Electrónica
Área de conocimiento FRASCATI específico: 2.2 Ingenierias Eléctrica, Electrónica e Información
Área de conocimiento UNESCO amplio: 07 - Ingeniería, Industria y Construcción
ÁArea de conocimiento UNESCO detallado: 0714 - Electrónica y Automatización
Área de conocimiento UNESCO específico: 071 - Ingeniería y Profesiones Afines
Fecha de publicación : 2022
Fecha de fin de embargo: 31-dic-2050
Volumen: Vol. 405
Fuente: Lecture Notes in Networks and Systems
metadata.dc.identifier.doi: 10.1007/978-3-030-96043-8_5
Editor: Springer Science y Business Media Deutschland GmbH
Ciudad: 
Quito
Tipo: ARTÍCULO DE CONFERENCIA
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.
URI : http://dspace.ucuenca.edu.ec/handle/123456789/39390
https://www.scopus.com/record/display.uri?eid=2-s2.0-85125286933&origin=resultslist&sort=plf-f&src=s&st1=MQTT+Based+Event+Detection+System+for+Structural+Health+Monitoring+of+Buildings&sid=a4e3ce8e11456a33baab3880e5795946&sot=b&sdt=b&sl=94&s=TITLE-ABS-KEY%28MQTT+Based+Event+Detection+System+for+Structural+Health+Monitoring+of+Buildings%29&relpos=0&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1
URI Fuente: https://www.springer.com/series/15179
ISBN : 978-303096042-1
ISSN : 2367-3370
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