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Monitoring System Based on an IoT Platform for an AFPM Generator

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Applied Technologies (ICAT 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1755))

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Abstract

In the present work, a monitoring platform is made for an Axial Flow Permanent Magnet (AFPM) Generator without magnetic core, the objective is to permanently monitor the values that come from the generator, where the generator variables have been acquired through an open source development board called Arduino MEGA, which sends the data to a Raspberry PI, where they are displayed and stored so that they can be processed. The variables are displayed using the graphical node-red environment that offers a very eye-catching dashboard, which will be displayed on a 7 in. liquid-crystal display screen. All the data obtained is stored in a database that will allow its use for specific purposes. The monitoring platform has been built with the ability to monitor the speed of the rotors, the voltage and the current of a phase and thus be able to process the total power supplied by the generator. As a result, the monitoring system is a promise component for Pico Hydro power station to control the power all the time provided by the Axial Flow Permanent Magnet Generator.

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Acknowledgement

The authors thank the invaluable contribution of the Technological University Indoamerica, for his support in conducting the research project “ESTUDIO DE ALGORITMOS HIBRIDOS DE APRENDIZAJE AUTOMATICO PARA LA PREDICCION DE GENERACIÓN DE ENERGÍAS RENOVABLES”, Project Code: 281.230.2022. Also, the authors thank the Technical University of Ambato and the “DirecciÓn de Investigación y Desarrollo” (DIDE) for their support in conducting this research, in the execution of the project “Captación de Energía Lim-pia de Baja Potencia para Alimentación de Dispositivos de Quinta Generación (5G)”, approved by resolution “Nro. UTA-CONIN-2022-0015-R”. Project code: SFFISEI 07.

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Authors and Affiliations

  1. SISAu Research Center, Facultad de Ingeniería, Industria y Producción, Universidad Tecnológica Indoamérica, UTI, 180103, Ambato, Ecuador

    Myriam Cumbajín & Patricio Sánchez

  2. GITED Research Group. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Universidad Técnica de Ambato, UTA, 180207, Ambato, Ecuador

    Oscar Ortiz & Carlos Gordón

Authors
  1. Myriam Cumbajín
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  2. Patricio Sánchez
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  3. Oscar Ortiz
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  4. Carlos Gordón
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Corresponding author

Correspondence to Carlos Gordón .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Miguel Botto-Tobar

  2. Universidad Técnica del Norte, Ibarra, Ecuador

    Marcelo Zambrano Vizuete

  3. Universidad Rey Juan Carlos, Madrid, Spain

    Sergio Montes León

  4. Universidad Técnica Particular de Loja, Loja, Ecuador

    Pablo Torres-Carrión

  5. International University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Benjamin Durakovic

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Cumbajín, M., Sánchez, P., Ortiz, O., Gordón, C. (2023). Monitoring System Based on an IoT Platform for an AFPM Generator. In: Botto-Tobar, M., Zambrano Vizuete, M., Montes León, S., Torres-Carrión, P., Durakovic, B. (eds) Applied Technologies. ICAT 2022. Communications in Computer and Information Science, vol 1755. Springer, Cham. https://doi.org/10.1007/978-3-031-24985-3_37

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  • DOI: https://doi.org/10.1007/978-3-031-24985-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24984-6

  • Online ISBN: 978-3-031-24985-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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