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dc.contributor.authorMartín Martín, Ismaeles-ES
dc.contributor.authorLópez López, Gregorioes-ES
dc.contributor.authorGonzález Jiménez, Sergioes-ES
dc.contributor.authorCorrieu, Bricees-ES
dc.date.accessioned2021-06-07T12:14:51Z-
dc.date.available2021-06-07T12:14:51Z-
dc.date.issued2020-11-09es_ES
dc.identifier.urihttp://hdl.handle.net/11531/56254-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractThe current collection of second-hand clothes containers that Cáritas has distributed throughout the Community of Madrid presents some inefficiencies. Through the remotely monitoring of these containers, this project intends to address and reduce them. To do this, a study of the different alternatives on the market is carried out and a prototype is developed to check the functionality of the system. The system is composed of three different parts: a hardware or device composed of an ultrasound sensor that sends the free capacity of the container through the communications network of Sigfox to its own back-end. By creating a callback this message is redirected to the Microsoft Azure cloud platform where it is processed, stored and displayed. In addition, the user can know the capacity of the containers through a web application or front-end and create optimized routes based on this information.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherCiudades Inteligentes Totalmente Integrales, Eficientes y Sostenibles (San José, Costa Rica)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: 3rd Ibero-American Congress of Smart Cities - ICSC-CITIES 2020, Página inicial: 272-284, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titlePrototype system for remotely monitoring and managing second-hand clothing collection containerses_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsArduino MKRFox 1200, Azure IoT Hub, Azure Blob Storage,Azure Maps, Azure Time Series Insights, back-end, Cáritas, Digitalization,front-end, monitoring, Sigfoxen-GB
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