An easy-to-connect IoT device for monitoring LP gas pressure

Keywords: Computer vision, Internet of Things (IoT), Cloud Computing, NodeMCU, Python

Abstract

Liquefied Petroleum Gas (LPG) or commonly known as LP Gas is a flammable fuel used in different activities within the home, from cooking food, heating, emergency power generators, among others, therefore, its use must be following the relevant rules and regulations along with proper facilities which must be reviewed regularly as well as gas connections. Possible leaks of this fuel can cause serious accidents to the point of possibly causing explosions or poisoning due to excessive inhalation. In view of this problem, different works have been carried out focused on the timely detection of LP Gas leaks in a home environment, following this theme, in the present work a device was developed to monitor the content of LP Gas in tanks for home and semi industrial use, this by means of an ESP32-CAM module that captures photographs to a commercial analog pressure gauge, sending them for storage and processing to a web server, which through artificial vision techniques determine the value indicated by the pressure gauge, consulting the results and storing them through mobile devices.

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References

Sopeña, J. E. L. (2001). Manual de instalaciones de GLP. CEPSA ELF GAS.

Alberto, J. P. L., Adrián, V. V. W., & Fernando, V. E. N. (2014). Estado del arte de las arquitecturas de internet de las cosas (iot). UPM.

Jiménez Bonilla, A. F. (2022). Digitalización de información de un manómetro analógico a través de visión artificial para generar un registro en la web.

Mahfuz, N., Karmokar, S., & Rana, M. I. H. (2020). A Smart Approach of LPG Monitoring and Detection System Using IoT. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-4). IEEE.

Alarcón Martínez, J. A. (2019). Diseño y desarrollo de prototipo para detección de fugas de gas LP en una casa habitación.

Dávila, J., Aguilar, R., Ruiz, J., Parra-Michel, J. R., & Martínez-Peláez, R. (2018). Gaszen: plataforma para monitorizar el nivel de gas LP. RIIIT. Revista internacional de investigación e innovación tecnológica, 6(35), 0-0.

Salome, O. F., Flores, A. B., & López, V. E. B. (2018). Segmentación de Iris con OpenCV en Android. Pistas Educativas, 36(112).

Rebaza, J. V. (2007). Detección de bordes mediante el algoritmo de Canny. Escuela Académico Profesional di Informática. Universidad Nacional de Trujillo, 4.

Published
2024-07-05
How to Cite
Camargo Burgos, E. C., Alarcón-Paredes, A., & Alonso Silverio, G. A. (2024). An easy-to-connect IoT device for monitoring LP gas pressure. XIKUA Boletín Científico De La Escuela Superior De Tlahuelilpan, 12(Especial), 57-64. https://doi.org/10.29057/xikua.v12iEspecial.12739