Abstract
Remote laboratories have matured substantially and have seen widespread adoption across universities globally. This paper delineates the design and implementation of a remote laboratory for Industry 4.0, specifically for Internet of Things. It employs Raspberry Pi and ESP8266 microcontrollers, to bolster online Internet of Things (IoT) learning and experimentation platforms. Such platforms hold significant value in delivering high-quality online education programs centered on IoT. Students have access to a web interface where they can write Arduino code to program the behavior of each one of the nodes of an Internet of Things scenario. This setup allows them to remotely program three NodeMCU boards in a manner akin to the usage of the Arduino IDE connected to an Arduino board locally. The system offers the ability to compile and upload code, complete with error notifications. Additionally, it furnishes several functionalities such as the ability to load new local code, save the authored code to one's personal computer, load predefined examples, access a serial monitor, and avail the Node Red platform. This amalgamation of features promises to offer a comprehensive and interactive remote learning experience for students engaging with IoT technologies.
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This publication is part of the In4Labs project with reference TED2021-131535B-I00 funded by MCIN/AEI/https://doi.org/10.13039/501100011033 and by European Union “NextGenerationEU”/PRTR.
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Anhelo, J., Robles, A., Martin, S. (2023). Internet of Things Remote Laboratory for MQTT Remote Experimentation. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 841. Springer, Cham. https://doi.org/10.1007/978-3-031-48590-9_16
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DOI: https://doi.org/10.1007/978-3-031-48590-9_16
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