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Work in Progress: River Water Collection System Using Embedded Systems for the Analysis of Basic Characteristics in Real Time

  • Jean P. Mata Quevedo
  • , Ricardo Romero Gonzalez
  • , Sebastian Quevedo Sacoto
  • , Sandro Gonzalez Gonzalez
  • , Luis Serpa-Andrade

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Due to the importance of the treatment and care of water, there are projects around the world that help to have a better control over the quality of the water that help as a basis for proper treatment. This system is proposed after a literature review with the intention of obtaining data from different water characteristics such as: pH, conductivity, turbulence, temperature, and dissolved oxygen, it is intended to obtain the data for later consultation through a mobile application or PC. This system consists of three stages: the first one consists of data collection through sensors to a microprocessor; the second part involves a LoRa wireless network for data transmission; and the third one in which the data is presented in a mobile application.

Idioma originalInglés
Título de la publicación alojadaProceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
EditoresXin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas661-668
Número de páginas8
ISBN (versión impresa)9789819930425
DOI
EstadoPublicada - 2024
Evento8th International Congress on Information and Communication Technology, ICICT 2023 - London, Reino Unido
Duración: 20 feb. 202323 feb. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen695 LNNS

Conferencia

Conferencia8th International Congress on Information and Communication Technology, ICICT 2023
País/TerritorioReino Unido
CiudadLondon
Período20/02/2323/02/23

Nota bibliográfica

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Areas de Conocimiento del CACES

  • 417A Electrónica, automatización y sonido

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