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Vol. 33 No. 69 (2024)
July-September 2024: Open Science at the Service of Engineering

Papers

Multiparametric Sensor to Measure Water Quality Parameters Using Internet of Things

https://doi.org/10.19053/uptc.01211129.v33.n69.2024.17385

Published 2024-09-15

  • Cindy-Noely Cruz-Mata
    • ,
  • Roberto-Carlos Martinez-Montejano
    • ,
  • Marissa Robles-Martínez
    • ,
  • Germánico González-Badillo
    • ,
  • José-Jimmy Jaime-Rodríguez

Cindy-Noely Cruz-Mata
Autonomous University of San Luis Potosí image/svg+xml

Roberto-Carlos Martinez-Montejano
Autonomous University of San Luis Potosí image/svg+xml

Marissa Robles-Martínez
Exagromerica

Germánico González-Badillo
Autonomous University of San Luis Potosí image/svg+xml

José-Jimmy Jaime-Rodríguez
Autonomous University of San Luis Potosí image/svg+xml

Abstract

This study introduces an innovative water quality monitoring system capable of simultaneously measuring six essential parameters (total dissolved solids, oxidation-reduction potential, dissolved oxygen, temperature, pH, and electrical conductivity) by incorporating the Internet of Things technology. Therefore, it is an advanced tool for water resource management. Unlike conventional multiparameter sensors, which are often limited in their storage capacity and number of parameters, our device automatically stores data in Firebase, thus ensuring secure, accessible, and scalable real-time information management. Additionally, in situations of connectivity loss, the system includes an SD card to store data in an Excel file and ensure continuous logging without interruptions. This design not only eliminates the need for sample transportation and handling but also enables precise monitoring from any location. By measuring six distinct parameters, the system provides a comprehensive and customizable view of water quality, adapts to various needs and environments like industry, agriculture, or natural resource conservation. This versatility and technological robustness, supported by Firebase, make our system a key solution for efficient and real-time water monitoring.

Keywords

sensors, water treatment, Internet of Things

PDF

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