Palabras clave
Flask
Flutter
Raspberry Pi
Intelligent lighting control
Categorías
Cómo citar
Resumen
El objetivo de esta investigación fue diseñar e implementar un sistema inteligente para el control de la iluminación mediante una aplicación móvil, apoyado en una arquitectura cliente-servidor que integra Flask y Flutter sobre una Raspberry Pi 3 modelo B+. El estudio se desarrolló bajo un enfoque experimental, en el marco de un proyecto académico, donde se configuró el sistema operativo Linux en la Raspberry Pi y se implementó un servidor web Flask encargado de gestionar solicitudes HTTP para el control de los pines GPIO. Asimismo, se desarrolló una aplicación móvil en Flutter que permitió la interacción directa del usuario con el sistema. Para validar su funcionamiento, se utilizaron seis LEDs como representación de luminarias reales y se realizaron pruebas operativas a través de una red inalámbrica local desde un dispositivo móvil y una computadora cliente. Los resultados obtenidos evidenciaron un desempeño estable y una respuesta en tiempo real durante las pruebas realizadas. En consecuencia, se concluye que la solución propuesta constituye una alternativa eficiente, de bajo costo y viable para aplicaciones básicas de domótica y del Internet de las Cosas.
Abstract
The objective of this research was to design and implement an intelligent lighting control system through a mobile application, supported by a client–server architecture that integrates Flask and Flutter on a Raspberry Pi 3 model B+. The study was conducted under an experimental approach within the framework of an academic project, in which the Linux operating system was configured on the Raspberry Pi and a Flask web server was implemented to manage HTTP requests for GPIO pin control. In addition, a Flutter-based mobile application was developed to allow direct user interaction with the system. To validate its operation, six LEDs were used as representations of real lighting fixtures, and operational testswere carried out over a local wireless network using a mobile device and a client computer. The resultsdemonstrated stable performance and real-time response during the conducted tests. Consequently, it isconcluded that the proposed solution represents an efficient, low-cost, and viable alternative for basic homeautomation and Internet of Things applications.
Referencias
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376. https://doi.org/10.1109/COMST.2015.2444095
Buyya, R., & Dastjerdi, A. V. (2016). Internet of Things: Principles and paradigms. Morgan Kaufmann.
Flask Development Team. (2023). Flask documentation. https://flask.palletsprojects.com Google. (2023). Flutter documentation. https://docs.flutter.dev
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013).
Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
Khan, R., Khan, S. U., Zaheer, R., & Khan, S. (2012).
Future Internet: The Internet of Things architecture, possible applications and key challenges. In Proceedings of the 10th International Conference on Frontiers of Information Technology (pp. 257–260).
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014).
Context-aware computing for the Internet of Things: A survey. IEEE Communications Surveys & Tutorials, 16(1), 414–454.
Pimentel, D., Nickerson, B., & Kumar, R. (2017).
Building IoT applications using Raspberry Pi and Python. International Journal of Computer Applications, 168(6), 1–6.
Richardson, L., & Ruby, S. (2007). RESTful web services. O’Reilly Media.
Sethi, P., & Sarangi, S. R. (2017).
Internet of Things: Architectures, protocols, and applications. Journal of Electrical and Computer Engineering, 2017, 1–25. https://doi.org/10.1155/2017/9324035
Upton, E., & Halfacree, G. (2019). Raspberry Pi user guide (4th ed.). Wiley.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014).
Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32.
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