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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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
EditorsXin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages661-668
Number of pages8
ISBN (Print)9789819930425
DOIs
StatePublished - 2024
Event8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom
Duration: 20 Feb 202323 Feb 2023

Publication series

NameLecture Notes in Networks and Systems
Volume695 LNNS

Conference

Conference8th International Congress on Information and Communication Technology, ICICT 2023
Country/TerritoryUnited Kingdom
CityLondon
Period20/02/2323/02/23

Bibliographical note

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

Keywords

  • Embedded systems
  • Learning
  • Water treatment

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

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