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

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

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dc.contributor.author Campelo Rivadulla, José Carlos es_ES
dc.contributor.author Capella Hernández, Juan Vicente es_ES
dc.contributor.author Ors Carot, Rafael es_ES
dc.contributor.author Peris Tortajada, Miguel es_ES
dc.contributor.author Bonastre Pina, Alberto Miguel es_ES
dc.date.accessioned 2023-06-01T18:01:16Z
dc.date.available 2023-06-01T18:01:16Z
dc.date.issued 2022-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193798
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship FundingThis research was funded by Spanish Ministerio de Economia y Competitividad, Gobierno de Espana, grant number DPI2016-80303-C2-1-P. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Smart sensor es_ES
dc.subject Ion-selective electrode es_ES
dc.subject In-line monitoring es_ES
dc.subject Internet of Things es_ES
dc.subject Water analysis es_ES
dc.subject Potassium determination es_ES
dc.subject Cloud services es_ES
dc.subject.classification QUIMICA ANALITICA es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water. es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s22030842 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//DPI2016-80303-C2-1-P//HACIA EL HOSPITAL INTELIGENTE: INVESTIGACION EN EL DISEÑO DE UNA PLATAFORMA BASADA EN INTERNET DE LAS COSAS Y SU APLICACION EN LA MEJORA DEL CUMPLIMIENTO DE HIGIENE DE MANO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Campelo Rivadulla, JC.; Capella Hernández, JV.; Ors Carot, R.; Peris Tortajada, M.; Bonastre Pina, AM. (2022). IoT Technologies in Chemical Analysis Systems: Application to Potassium Monitoring in Water. Sensors. 22(3):1-16. https://doi.org/10.3390/s22030842 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s22030842 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 35161589 es_ES
dc.identifier.pmcid PMC8839428 es_ES
dc.relation.pasarela S\455953 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 1910 es_ES


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