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Ingenius. Revista de Ciencia y Tecnología

versión On-line ISSN 1390-860Xversión impresa ISSN 1390-650X

Resumen

PEREIRA, Renata; DE SOUZA, Cleonilson; PATINO, Darwin  y  LATA, Juan. PLATFORM FOR DISTANCE LEARNING OF MICROCONTROLLERS AND INTERNET OF THINGS. Ingenius [online]. 2022, n.28, pp.53-62. ISSN 1390-860X.  https://doi.org/10.17163/ings.n28.2022.05.

Due to the increasing technological development in embedded systems and the Internet of Things (IoT), devices based on microcontrollers are being increasingly applied in various areas of knowledge. In this context, online educational platforms and products are considered virtual remote laboratories, because students can access the physical devices anywhere as long as they have a computer system connected to the internet. In this sense, this work describes the design and development of a platform with four online educational products for teaching microcontrollers and IoT. These educational products are based on open-source software, which enables their free online distribution and the access to them from a cloud server. The open-source and multiplatform (Linux, Windows®, and Mac OSX) approach enables a greater user interaction and accessibility. The online educational products make possible the remote programming of the ESP32 microcontroller firmware via OTA (over the air) and Linux embedded systems based on Raspberry Pi (Rpi), enabling virtual microcontroller laboratory applications. In addition, the online educational products enable the manipulation of GPIO pins via the Internet through the graphical interface of the ESP32 and ESP8266 microcontrollers and the Rpi. As a result, the proposed online platform was tested, running it on a cloud server, and the four-distance learning educational products and the actual microcontroller and IoT application have been validated, and are operating as designed.

Palabras clave : platform; distance learning; microcontroller; Internet of Ihings; embedded systems; virtual laboratory.

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