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Browsing by Author "Placencia León, José Sebastián"

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    Análisis de métodos OMA para la extracción de parámetros modales sobre edificios existentes
    (2021) Samaniego Galindo, Víctor Hugo; Jiménez Pacheco, Juan Carlos; González Martínez, Santiago Renán; Muñoz Calle, Milton Rodrigo; Placencia León, José Sebastián; Palacios Serrano, Iván Santiago
    This paper presents the application of Operational Modal Analysis (OMA) methods in order to characterize the modal parameters (i.e., frequencies and vibration modes) of a building. The study was carried out on a real scenario. In particular, the Frequency Domain Decomposition (FDD) method and its enhanced version (EFDD) were used. In a first stage, a preliminary structural evaluation of the building (using the rapid visual inspection method, RVS), a dimensional survey and field tests for the mechanical characterization of its components were carried out, for the purpose of obtaining a conventional modal analysis in terms of its modal parameters. Based on this modal analysis, an instrumentation plan was designed with triaxial MEMS accelerometers (microelectromechanical systems). The instrumentation process was comprised of three stages: acquisition, control and storage of information. The main contribution of this work consists of the evaluation of the application of the FDD and EFDD methods on an essential building, with the particularity of the use of microseismicity vibrations for the identification of modal parameters. Results obtained reveal a fundamental frequency of the building of 1.43 Hz, as well as a non-recommended modal behavior.
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    Diseño e implementación de un sistema de monitoreo de la condición de alimentación de las estaciones de la red sísmica del Austro
    (2016) Toledo Ortiz, Diego Armando; Placencia León, José Sebastián; Guevara Baculima, Remigio Clemente
    In thisdocument, a BatteryChargeControllerisdesigned and performed, based in theintegratedcircuit BQ24650, byNational Instruments, to improvethesupplysystem of the "Red Sísmica del Austro" seismicstations. Additionally, a monitoringsystem of batteryand solar panel voltagelevelsisperformed. Thisinformationistransmittedthroughanexistinganalog radio link in the RSA usingthebandwidthnotoccupied of thetransmissionanalogsystem of seismicinformation, withoutmodify, perturboraddnoise to thesystem. Later, thisinformationisvisualized and stored in a database in the RSA offices.
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    MQTT based event detection system for structural health monitoring of buildings
    (Springer Science y Business Media Deutschland GmbH, 2022) Muñóz Calle, Milton Rodrigo; González Martínez, Santiago Renán; Samaniego Galindo, Víctor Hugo; Palacios Serrano, Iván Santiago; Placencia León, José Sebastián; Jiménez Pacheco, Juan Carlos
    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.
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    Rainfall intensity datalogger system. Lopy4-based design and implementation
    (Association for Computing Machinery, Incacmhelp@acm.org, 2019) Minchala Ávila, Luis Ismael; Placencia León, José Sebastián; Astudillo Salinas, Darwin Fabián; Vázquez Rodas, Andrés Marcelo; Guamán Rivera, Jhonny Lenin
    © 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM. The data record of the amount of rain is important for the monitoring and control of watersheds for water and soil conservation. Even more important is to be able to keep this information as up-to-date with a short latency and low cost. This article presents the design and implementation of a rainfall intensity data recording system based on the LoPy4 development board. This implementation integrates the acquisition, storage and wirelessly transmission of the data. There is a data recording system (Station Node) and a transmission forwarding system (Gateway node). In this way, a Wireless Sensors Network (WSN) architecture is achieved by using LoRa technology. This technology offers long range and low energy consumption. The results indicate a strong correlation of the data acquired by the system designed in this article and the data recorded by the reference DAVIS station.
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    Redes inalámbricas ad hoc aplicadas a la monitorización de salud estructural en edificios
    (Íñigo Cuiñas Gómez, 2021) Guevara Baculima, Remigio Clemente; Placencia León, José Sebastián; Samaniego Galindo, Víctor Hugo; González Martínez, Santiago Renán; Palacios Serrano, Iván Santiago; Palacios Serrano, Iván Santiago
    This paper presents an architecture based on wireless ad hoc networks for the structural health monitoring of buildings. The solution consists of a set of ten sensor nodes (accelerograph stations) as well as a main node or gateway. The communication among the devices was configured through a multi-hop topology. Furthermore, the gateway node incorporates an automatic event detection system where the sensor nodes upload the information of the seismic events to the cloud (Google Drive). This proposal contributes in the design and implementation of resilient communications systems on real scenarios. Regarding the network performance, several experiments were carried out in order to evaluate the throughput, RTT, and the time to transmit the data of events. Finally, results of a seismic event detected are presented which evidence the proper operation of the architecture proposed.
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    Water level monitoring system based on LoPy4 microcontroller with LoRa technology
    (Institute of Electrical and Electronics Engineers Inc., 2018) Guamán Rivera, Jhonny Lenin; Astudillo Salinas, Darwin Fabián; Vázquez Rodas, Andrés Marcelo; Minchala Ávila, Luis Ismael; Placencia León, José Sebastián; Astudillo Salinas, Darwin Fabián
    Modern weather stations allow real-time monitoring of several atmospheric variables. Wireless Sensor Networks (WSN) provide communication between nodes and the Network Coordinator (Gateway). This network uses transceivers to send the data generated by the stations. The use of WSN in remote locations involves the construction of repeaters because there is no cellular signal or an access network. This article presents the development of a datalogger for stations that measure river water levels of the andean region. The LoPy4 microcontroller is used. This solution combines easy sensor configuration via WiFi and long-range transceiver with LoRa (Long Range) technology. The proposed datalogger has a solar power supply and allows real-time data transmission using the SX1272 transceivers, while a GPRS module is integrated in the coordinator for transmission to the monitoring station server. A GPRS module is integrated into the gateway to forward the data from the stations to the data center.

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