“Implementación de un sistema de control de condición de activos para motores eléctricos mediante análisis de vibración e internet de las cosas”
Fecha
2021
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Networking y Telecomunicaciones
Resumen
La continuidad del trabajo en las industrias representa una pieza muy significativa para
el progreso económico tanto como en el mundo como en nuestro país, la problemática
que existe en las diferentes industrias como los paros operacionales representan
pérdidas de tiempo y monetarias que pueden ser utilizadas eficazmente para estimular
productividad. Con la Metodología cuasi experimental desarrollada en este trabajo se
distinguen las diferentes necesidades, procesos y validación de la investigación que
afiancen el propósito de contrarrestar la problemática existente en las industrias. Por
ello se presenta la realización de un prototipo de monitoreo llamado Sistema Control
de Activos, con el uso de sensores que permitan al prototipo ser competente para
analizar el estado de un motor eléctrico. Midiendo sus características principales como
aceleración, temperatura, corriente, revoluciones por minuto, y velocidad. Utilizando
un microprocesador Arduino MKR1000 encargado de procesar la información
obtenida de los sensores y con la característica novedosa de conectarse a conexión
Wi-Fi que sirve para conectarse de forma inalámbrica a diferentes plataformas, y
visibilizar los datos de análisis como la plataforma usada en este trabajo Arduino IoT
Cloud, que gracias a la compra de una membresía permite agrupar todos los datos
del estado del motor en un panel de control, el cual puede ser observado y controlado
desde un ordenador o teléfono inteligente de forma remota con el uso de Wi-Fi. Con
estas variables medidas se consigue analizar los datos de vibración del motor eléctrico
y comprobar el estado de la máquina, incluso recrear situaciones donde la vibración
normal del equipo se vea alterada y se pueda verificar en la plataforma de monitoreo.
Se concluye con la realización y funcionamiento de dicho prototipo, con el análisis de
vibración efectuado eficientemente en diferentes circunstancias, y con la implicación
de tecnología creciente como el Internet de las Cosas que facilita la obtención de los
datos de monitoreo desde cualquier parte del mundo.
The continuity of work in industries represents a very significant piece for economic progress both in the world and in our country, the problems that exist in different industries such as operational stoppages represent losses of time and money that can be used effectively to stimulate productivity. With the quasi-experimental Methodology developed in this work, the different needs, processes and validation of the research that strengthen the purpose of counteracting the existing problems in the industries are distinguished. For this reason, the realization of a monitoring prototype called Asset Control System is presented, with the use of sensors that allow the prototype to be competent to analyze the state of an electric motor. Measuring its main characteristics such as acceleration, temperature, current, revolutions per minute, and speed. Using an Arduino MKR1000 microprocessor in charge of processing the information obtained from the sensors and with the novel feature of connecting to a Wi-Fi connection that serves to connect wirelessly to different platforms, and make the analysis data visible as the platform used in this Arduino IoT work Cloud, which thanks to the purchase of a membership allows to group all the data of the engine status in a control panel, which can be observed and controlled remotely from a computer or smartphone with the use of Wi-Fi. With these measured variables, it is possible to analyze the vibration data of the electric motor and check the status of the machine, even to recreate situations where the normal vibration of the equipment is altered and can be verified on the monitoring platform. It concludes with the realization and operation of said prototype, with the vibration analysis carried out efficiently in different circumstances, and with the involvement of growing technology such as the Internet of Things that facilitates the obtaining of monitoring data from anywhere in the world.
The continuity of work in industries represents a very significant piece for economic progress both in the world and in our country, the problems that exist in different industries such as operational stoppages represent losses of time and money that can be used effectively to stimulate productivity. With the quasi-experimental Methodology developed in this work, the different needs, processes and validation of the research that strengthen the purpose of counteracting the existing problems in the industries are distinguished. For this reason, the realization of a monitoring prototype called Asset Control System is presented, with the use of sensors that allow the prototype to be competent to analyze the state of an electric motor. Measuring its main characteristics such as acceleration, temperature, current, revolutions per minute, and speed. Using an Arduino MKR1000 microprocessor in charge of processing the information obtained from the sensors and with the novel feature of connecting to a Wi-Fi connection that serves to connect wirelessly to different platforms, and make the analysis data visible as the platform used in this Arduino IoT work Cloud, which thanks to the purchase of a membership allows to group all the data of the engine status in a control panel, which can be observed and controlled remotely from a computer or smartphone with the use of Wi-Fi. With these measured variables, it is possible to analyze the vibration data of the electric motor and check the status of the machine, even to recreate situations where the normal vibration of the equipment is altered and can be verified on the monitoring platform. It concludes with the realization and operation of said prototype, with the vibration analysis carried out efficiently in different circumstances, and with the involvement of growing technology such as the Internet of Things that facilitates the obtaining of monitoring data from anywhere in the world.
Descripción
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Palabras clave
Producción, Análisis, Vibración, Condición, Monitoreo