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IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water

The in-line determination of chemical parameters in water is of capital importance for environmental reasons. It must be carried out frequently and at a multitude of points; thus, the ideal method is to utilize automated monitoring systems, which use sensors based on many transducers, such as Ion Se...

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Detalles Bibliográficos
Autores principales: Campelo, José C., Capella, Juan V., Ors, Rafael, Peris, Miguel, Bonastre, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839428/
https://www.ncbi.nlm.nih.gov/pubmed/35161589
http://dx.doi.org/10.3390/s22030842
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author Campelo, José C.
Capella, Juan V.
Ors, Rafael
Peris, Miguel
Bonastre, Alberto
author_facet Campelo, José C.
Capella, Juan V.
Ors, Rafael
Peris, Miguel
Bonastre, Alberto
author_sort Campelo, José C.
collection PubMed
description The in-line determination of chemical parameters in water is of capital importance for environmental reasons. It must be carried out frequently and at a multitude of points; thus, the ideal method is to utilize automated monitoring systems, which use sensors based on many transducers, such as Ion Selective Electrodes (ISE). These devices have multiple advantages, but their management via traditional methods (i.e., manual sampling and measurements) is rather complex. Wireless Sensor Networks have been used in these environments, but there is no standard way to take advantage of the benefits of new Internet of Things (IoT) environments. To deal with this, an IoT-based generic architecture for chemical parameter monitoring systems is proposed and applied to the development of an intelligent potassium sensing system, and this is described in detail in this paper. This sensing system provides fast and simple deployment, interference rejection, increased reliability, and easy application development. Therefore, in this paper, we propose a method that takes advantage of Cloud services by applying them to the development of a potassium smart sensing system, which is integrated into an IoT environment for use in water monitoring applications. The results obtained are in good agreement (correlation coefficient = 0.9942) with those of reference methods.
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spelling pubmed-88394282022-02-13 IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water Campelo, José C. Capella, Juan V. Ors, Rafael Peris, Miguel Bonastre, Alberto Sensors (Basel) Article The in-line determination of chemical parameters in water is of capital importance for environmental reasons. It must be carried out frequently and at a multitude of points; thus, the ideal method is to utilize automated monitoring systems, which use sensors based on many transducers, such as Ion Selective Electrodes (ISE). These devices have multiple advantages, but their management via traditional methods (i.e., manual sampling and measurements) is rather complex. Wireless Sensor Networks have been used in these environments, but there is no standard way to take advantage of the benefits of new Internet of Things (IoT) environments. To deal with this, an IoT-based generic architecture for chemical parameter monitoring systems is proposed and applied to the development of an intelligent potassium sensing system, and this is described in detail in this paper. This sensing system provides fast and simple deployment, interference rejection, increased reliability, and easy application development. Therefore, in this paper, we propose a method that takes advantage of Cloud services by applying them to the development of a potassium smart sensing system, which is integrated into an IoT environment for use in water monitoring applications. The results obtained are in good agreement (correlation coefficient = 0.9942) with those of reference methods. MDPI 2022-01-22 /pmc/articles/PMC8839428/ /pubmed/35161589 http://dx.doi.org/10.3390/s22030842 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Campelo, José C.
Capella, Juan V.
Ors, Rafael
Peris, Miguel
Bonastre, Alberto
IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water
title IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water
title_full IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water
title_fullStr IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water
title_full_unstemmed IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water
title_short IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water
title_sort iot technologies in chemical analysis systems: application to potassium monitoring in water
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839428/
https://www.ncbi.nlm.nih.gov/pubmed/35161589
http://dx.doi.org/10.3390/s22030842
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