dc.creator | Hidalgo Fort, Eduardo | es |
dc.creator | Gómez Galán, Juan Antonio | es |
dc.creator | González Carvajal, Ramón | es |
dc.creator | Sánchez Cárdenas, Pedro | es |
dc.creator | Clemente Maya, Carlos | es |
dc.date.accessioned | 2023-05-09T13:32:06Z | |
dc.date.available | 2023-05-09T13:32:06Z | |
dc.date.issued | 2023-03 | |
dc.identifier.citation | Hidalgo Fort, E., Gómez Galán, J.A., González Carvajal, R., Sánchez Cárdenas, P. y Clemente Maya, C. (2023). Battery-Less Industrial Wireless Monitoring and Control System for Improved Operational Efficiency. Sensors, 23 (5), 2517. https://doi.org/10.3390/s23052517. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | https://hdl.handle.net/11441/145722 | |
dc.description | 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/). | es |
dc.description.abstract | An industrial wireless monitoring and control system, capable of supporting energy-harvesting devices through smart sensing and network management, designed for improving electro-refinery performance by applying predictive maintenance, is presented. The system is self-powered from bus bars, and features wireless communication and easy-to-access information and alarms. With cell voltage and electrolyte temperature measurements, the system enables real-time cell performance discovery and early reaction to critical production or quality disturbances such as short-circuiting, flow blockages, or electrolyte temperature excursions. Field validation shows an increase in operational performance of 30% (reaching 97%) in the detection of short circuits, which, thanks to a neural network deployed, are detected, on average, 10.5 h earlier compared to the traditional methodology. The developed system is a sustainable IoT solution, being easy to maintain after its deployment, and providing benefits of improved control and operation, increased current efficiency, and decreased maintenance costs. | es |
dc.format | application/pdf | es |
dc.format.extent | 17 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 23 (5), 2517. | |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Industrial wireless monitoring | es |
dc.subject | Wireless sensor network | es |
dc.subject | Battery-less | es |
dc.subject | LoRaWAN | es |
dc.subject | Energy harvesting | es |
dc.title | Battery-Less Industrial Wireless Monitoring and Control System for Improved Operational Efficiency | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Electrónica | es |
dc.relation.projectID | 19/1008 | es |
dc.relation.projectID | 22/1077 | es |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/23/5/2517 | es |
dc.identifier.doi | 10.3390/s23052517 | es |
dc.contributor.group | Universidad de Sevilla. TIC192: Ingeniería Electrónica | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 23 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 2517 | es |
dc.contributor.funder | Corporación Tecnológica de Andalucía | es |
dc.contributor.funder | Atlantic Cooper S.L.U | es |