Sistema de monitoreo basado en la nube de Mindsphere para E-Houses de media y baja tensión
| dc.contributor.advisor | Cortés Rodriguez, Carlos Julio | |
| dc.contributor.author | Lozano Campo, Leonardo Andrés | |
| dc.date.accessioned | 2026-02-17T13:00:25Z | |
| dc.date.available | 2026-02-17T13:00:25Z | |
| dc.date.issued | 2025 | |
| dc.description | ilustraciones a color, diagramas, fotografías | spa |
| dc.description.abstract | Con el crecimiento de la demanda por dispositivos conectados, el Internet de las Cosas (IoT) se presenta como un paradigma que permite aprovechar al máximo los datos generados por los dispositivos o “cosas” conectadas a la red. Este panorama ofrece una gran oportunidad para los sistemas de distribución eléctrica (parte esencial de las Smart Grids), al facilitar una mayor recopilación de datos en las subestaciones de media y baja tensión, permitiendo su monitoreo con mayor precisión y accesibilidad, en cualquier momento y lugar. En el presente documento se exponen los conceptos clave que sustentan el desarrollo de un sistema de monitoreo remoto para subestaciones tipo E-House, abarcando temas relacionados con computación en la nube, IoT, ciberseguridad y protocolos de comunicación. Asimismo, se incluye una revisión bibliográfica de artículos y literatura enfocada en el diseño e implementación de arquitecturas IoT aplicadas a subestaciones eléctricas. Finalmente, se plantea un diseño conceptual —basado en una arquitectura por capas— para la implementación de un sistema de monitoreo en E-Houses. Se aborda tanto el monitoreo de los equipos principales (switchgear de media o baja tensión) como el de los servicios auxiliares o subsistemas: iluminación, detección de incendios, control de acceso y aire acondicionado. (Texto tomado de la fuente) | spa |
| dc.description.abstract | With the growing need to interconnect all devices, the Internet of Things (IoT) has emerged as a paradigm that maximizes the value of data collected from internet-connected “things.” This development represents a significant opportunity for electrical distribution systems—particularly within Smart Grid infrastructures—to enhance data acquisition in medium and low voltage substations, thereby enabling more precise monitoring and remote access to operational data from anywhere, at any time. This document provides the foundational concepts necessary for developing a remote monitoring system for E-House substations, covering essential topics in digitization such as cloud computing, IoT, cybersecurity, and communication protocols. It also includes a review of the relevant literature and journal articles on IoT systems and architectures as applied to electrical substations. Lastly, a conceptual design based on a layered architecture is presented for implementing an E-House monitoring system. The proposed solution focuses on monitoring primary equipment—such as medium and low voltage witchgear—alongside auxiliary services and subsystems. | eng |
| dc.description.degreelevel | Maestría | |
| dc.description.degreename | Magister en Ingeniería Mecánica | |
| dc.description.researcharea | Automatización, Control y Mecatrónica | |
| dc.format.extent | xiv, 107 páginas | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.instname | Universidad Nacional de Colombia | spa |
| dc.identifier.reponame | Repositorio Institucional Universidad Nacional de Colombia | spa |
| dc.identifier.repourl | https://repositorio.unal.edu.co/ | spa |
| dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/89575 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Nacional de Colombia | |
| dc.publisher.branch | Universidad Nacional de Colombia - Sede Bogotá | |
| dc.publisher.faculty | Facultad de Ingeniería | |
| dc.publisher.place | Bogotá, Colombia | |
| dc.publisher.program | Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Mecánica | |
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| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.license | Reconocimiento 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 620 - Ingeniería y operaciones afines::623 - Ingeniería militar y náutica | |
| dc.subject.ddc | 000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación | |
| dc.subject.ddc | 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores | |
| dc.subject.lemb | SUBESTACIONES ELECTRICAS | spa |
| dc.subject.lemb | Electric substations | eng |
| dc.subject.lemb | DISTRIBUCION DE ENERGIA ELECTRICA | spa |
| dc.subject.lemb | Electric power distribution | eng |
| dc.subject.lemb | SISTEMAS DE INTERCONEXION ELECTRICA-AUTOMATIZACION | spa |
| dc.subject.lemb | Interconnected electric utility systems -- Automation | eng |
| dc.subject.lemb | REDES ELECTRICAS | spa |
| dc.subject.lemb | Electric networks | eng |
| dc.subject.lemb | SISTEMAS DE BAJO VOLTAJE | spa |
| dc.subject.lemb | Low voltage systems | eng |
| dc.subject.lemb | DISTRIBUCION DE ENERGIA ELECTRICA-ALTA TENSION | spa |
| dc.subject.lemb | Electric power distribution - high tension | eng |
| dc.subject.lemb | APRENDIZAJE AUTOMATICO (INTELIGENCIA ARTIFICIAL) | spa |
| dc.subject.lemb | Machine learning | eng |
| dc.subject.lemb | APRENDIZAJE SUPERVISADO (APRENDIZAJE AUTOMATICO) | spa |
| dc.subject.lemb | Supervised learning (Machine learning) | eng |
| dc.subject.proposal | Internet de las cosas | spa |
| dc.subject.proposal | IoT | eng |
| dc.subject.proposal | Internet de la energía | spa |
| dc.subject.proposal | IoE | eng |
| dc.subject.proposal | E-House | eng |
| dc.subject.proposal | Monitoreo | spa |
| dc.subject.proposal | Computación en la nube | spa |
| dc.subject.proposal | Mindsphere | eng |
| dc.subject.proposal | Smart Grid | eng |
| dc.subject.proposal | Remoto | spa |
| dc.subject.proposal | Internet of things | eng |
| dc.subject.proposal | Internet of energy | eng |
| dc.subject.proposal | Monitoring | eng |
| dc.subject.proposal | Cloud computing | eng |
| dc.subject.proposal | Remote | eng |
| dc.title | Sistema de monitoreo basado en la nube de Mindsphere para E-Houses de media y baja tensión | spa |
| dc.title.translated | MindSphere cloud-based monitoring system for medium- and low-voltage E-Houses | eng |
| dc.type | Trabajo de grado - Maestría | |
| dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.content | Text | |
| dc.type.driver | info:eu-repo/semantics/masterThesis | |
| dc.type.redcol | http://purl.org/redcol/resource_type/TM | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dcterms.audience.professionaldevelopment | Estudiantes | |
| dcterms.audience.professionaldevelopment | Investigadores | |
| dcterms.audience.professionaldevelopment | Maestros | |
| dcterms.audience.professionaldevelopment | Público general | |
| oaire.accessrights | http://purl.org/coar/access_right/c_abf2 |
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- Descripción:
- Tesis de Maestría en Ingeniería Mecánica
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