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
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

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

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