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Sistema de monitoreo basado en la nube de Mindsphere para E-Houses de media y baja tensión

dc.contributor.advisorCortés Rodriguez, Carlos Julio
dc.contributor.authorLozano Campo, Leonardo Andrés
dc.date.accessioned2026-02-17T13:00:25Z
dc.date.available2026-02-17T13:00:25Z
dc.date.issued2025
dc.descriptionilustraciones a color, diagramas, fotografíasspa
dc.description.abstractCon 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.abstractWith 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.degreelevelMaestría
dc.description.degreenameMagister en Ingeniería Mecánica
dc.description.researchareaAutomatización, Control y Mecatrónica
dc.format.extentxiv, 107 páginas
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/89575
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.publisher.facultyFacultad de Ingeniería
dc.publisher.placeBogotá, Colombia
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Mecánica
dc.relation.referencesSiemens, AG. (2017). E-House Fast modular, plug-and-play power supply solution.https://assets.new.siemens.com/siemens/assets/api/uuid:6686116d-bf23-4e01-96c6-5005da0a93d5/emms-b10057-00-7600-e-house-en-144.pdf
dc.relation.referencesC H Bal y C. Erkan. (2019). Industry 4.0 and Competitiveness. Procedia Computer Science.
dc.relation.referencesEdquist, H. and y J. Haskel, P.Goodridge. (2019). The Internet of Things and economic growth in a panel of countries. Economics of Innovation and New Technology, 262–283.
dc.relation.referencesLeon Strous and Suné {von Solms. (2021). Security and privacy of the Internet of Things. Computers & Security, 102, 102148.hhttps://doi.org/https://doi.org/10.1016/j.cose.2020.102148
dc.relation.referencesJacob Sakhnini and Hadis Karimipour and Ali Dehghantanha and Reza M.Parizi and Gautam Srivastava. (2021). Security aspects of Internet of Things aided smart grids: A bibliometric survey. Internet of Things, 14,100111. https://doi.org/https://doi.org/10.1016/j.iot.2019.100111
dc.relation.referencesRaut, A.. (2017). Real time monitoring of substation by using cloud computing. Third International Conference on Sensing, Signal Processing and Security (ICSSS), 138–147.https://doi.org/10.1109/SSPS.2017.8071581.
dc.relation.referencesMarkovic and Zivkovic and Dejan I. and R. Popovic and D. Cvetkovic. (2013). Smart power grid and cloud computing. Renewable and Sustainable Energy Reviews, 24, 566–577.
dc.relation.referencesYasir Shahzad and Huma Javed and Haleem Farman and Jamil Ahmad and Bilal Jan and Muhammad Zubair. (2020). Internet of Energy: Opportunities, applications, architectures and challenges in smart industries. Computers & Electrical Engineering, 86, 106739. https://doi.org/https://doi.org/10.1016/j.compeleceng.2020.106739
dc.relation.referencesM. Faheem and S.B.H. Shah and R.A. Butt and B. Raza and M. Anwar and M.W. Ashraf and Md.A. Ngadi and V.C. Gungo. (2018). Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges. Computer Science Review, 30, 566–577.
dc.relation.referencesDiego Mendez Mena and Ioannis Papapanagiotou and Baijian Yang. (2018). Internet of things: Survey on security. Information Security Journal: A Global Perspective, 27(3), 162-182. https://doi.org/10.1080/19393555.2018.1458258
dc.relation.referencesHari Kishan Kondaveeti and Nandeesh Kumar Kumaravelu and Sunny Dayal Vanambathina and Sudha Ellison Mathe and Suseela Vappangi. (2021). A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations. Computer Science Review, 40. https://doi.org/https://doi.org/10.1016/j.cosrev.2021.100364
dc.relation.referencesHassan,J. A. and Jasim,B. H.. (2021). Design and implementation of internet of things-based electrical monitoring system. Bulletin of Electrical Engineering and Informatics, 10(6), 3052-3063. www.scopus.com
dc.relation.referencesMemala,W. A. and Bhuvaneswari,C. and Mana,S. C. and Selvan,M. P. and Maniraj,M. and Kishore,S.. (2021). An approach to remote condition monitoring of electrical machines based on IOT. Journal of Physics: Conference Series, 1770. www.scopus.com
dc.relation.referencesShatti,A. H. and Hasson,H. A. and Abdul-Rahaim,L. A.. (2021). Automation conditions of mobile base station shelter via cloud and IoT computing applications. International Journal of Electrical and Computer Engineering, 11(5), 4550-4557. www.scopus.com
dc.relation.referencesRojek,L. and Islam,S. and Hartmann,M. and Creutzburg,R.. (2021). IoT-Based real-time monitoring system for a smart energy house. IS and T International Symposium on Electronic Imaging Science and Technology, 2021. www.scopus.com
dc.relation.referencesShahinzadeh H. and Moradi,J. and Gharehpetian G. B. and Nafisi H. and Abedi,M.. (2019). Internet of Energy (IoE) in Smart Power Systems. 2019 IEEE 5th Conference on Knowledge Based Engineering and Innovation, KBEI 2019, 627-636. www.scopus.com
dc.relation.referencesWinasis and Nugraha,A. W. W. and Rosyadi,I. and Nugroho,D. T. and Prasetijo,H.. (2018). Solar-wind hybrid power plant monitoring based on free libre open source software (FLOSS) internet of things. Journal of Engineering and Applied Sciences, 13(9), 2705-2712. www.scopus.com
dc.relation.referencesMusleh,,A. S. and Debouza,M. and Farook,M.. (2017). Design and implementation of smart plug: An Internet of Things (IoT) approach. 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017, 2018-January, 1-4. www.scopus.com
dc.relation.referencesAl Mhdawi,A. K. and Al-Raweshidy,H. S.. (2020). A Smart Optimization of Fault Diagnosis in Electrical Grid Using Distributed Software-Defined IoT System. IEEE Systems Journal, 14(2), 2780-2790. www.scopus.com
dc.relation.referencesSingh,M. and Shimi,S. L.. (2018). Implementation of room automation with cloud based monitoring system. Proceedings of the 2nd International Conference on Inventive Systems and Control, ICISC 2018, 813-817. www.scopus.com
dc.relation.referencesRenforth,L. and Giussani,R. and Mendiola,M. T.. (2018). A Smart Condition Monitoring System for HV Networks with Artificial Intelligence, Augmented Reality and Virtual Reality. Record of Conference Papers - Annual Petroleum and Chemical Industry Conference, 2018-September, 325-332. www.scopus.com
dc.relation.referencesBalamurugan,A. and Bhavya,R. and Radhakrishnan,K. and Kannan,M. and Lalitha,N.. (2019). Substation monitoring and control based on microcontroller using IOT. International Journal of Recent Technology and Engineering, 7(5), 581-585. www.scopus.com
dc.relation.referencesOuaissa,M. and Ouaissa,M.. (2020). Cyber Security Issues for IoT based Smart Grid Infrastructure. IOP Conference Series: Materials Science and Engineering, 937. www.scopus.com
dc.relation.referencesChang,C. H. and Cao,Y.. (2021). Frontiers in hardware security and trust: Theory, design and practice. www.scopus.com
dc.relation.referencesD’Agati,L. and Longo,F. and Merlino,G. and Puliafito,A.. (2021). BLE-Enabled On-Site Diagnostics for An IoT/Cloud-Controlled Energy Substation. Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021, 329-334. www.scopus.com
dc.relation.referencesSaleem, Yasir and Crespi, Noel and Rehmani, Mubashir Husain and Copeland, Rebecca. (2019). Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions. IEEE Access, 7, 62962-63003. https://doi.org/10.1109/ACCESS.2019.2913984
dc.relation.referencesJadhav, Akshay Ramesh and Kiran M. P. R., Sai and Pachamuthu, Rajalakshmi. (2021). Development of a Novel IoT-Enabled Power- Monitoring Architecture With Real-Time Data Visualization for Use in Domestic and Industrial Scenarios. IEEE Transactions on Instrumentation and Measurement, 70, 1-14. https://doi.org/10.1109/TIM.2020.3028437
dc.relation.referencesLam, An Ngoc and Haugen, Oystein and Delsing, Jerker. (2022). Dynamical Orchestration and Configuration Services in Industrial IoT Systems: An Autonomic Approach. IEEE Open Journal of the Industrial Electronics Society, 3, 128-145. https://doi.org/10.1109/OJIES.2022.3149093
dc.relation.referencesKadechkar, Akash and Riba, Jordi-Roger and Moreno-Eguilaz, Manuel and Pérez, Joan. (2020). SmartConnector: A Self-Powered IoT Solution to Ease Predictive Maintenance in Substations. IEEE Sensors Journal, 20(19), 11632-11641. https://doi.org/10.1109/JSEN.2020.2998157
dc.relation.referencesRathod, Nihesh and Sundaresan, Rajesh. (2022). Relay Placement Algorithms for IoT Connectivity and Coverage in an Outdoor Heterogeneous Propagation Environment. IEEE Access, 10, 13270-13289. https://doi.org/10.1109/ACCESS.2022.3147488
dc.relation.referencesYashdeep and Biswal, Gyan Ranjan and Choudhury, Tapas and Islam, Tarikul and Mukhopadhyay, Subhas Chandra and Vashisht, Vikram. (2017). Design and Modeling of MEMS-Based Trace-Level Moisture Measurement System for GIS Applications in Smart Grid Environment. IEEE Sensors Journal, 17(23), 7758-7766. https://doi.org/10.1109/JSEN.2017.2721741
dc.relation.referencesHasan, Md. Mahmud and Mouftah, Hussein T.. (2016). Optimal Trust System Placement in Smart Grid SCADA Networks. IEEE Access, 4, 2907-2919. https://doi.org/10.1109/ACCESS.2016.2564418
dc.relation.referencesHasan, Md. Mahmud and Mouftah, Hussein T.. (2019). Optimization of Trust Node Assignment for Securing Routes in Smart Grid SCADA Networks. IEEE Systems Journal, 13(2), 1505-1513. https://doi.org/10.1109/JSYST.2018.2866465
dc.relation.referencesWang, Sihua and Chen, Mingzhe and Yang, Zhaohui and Yin, Changchuan and Saad, Walid and Cui, Shuguang and Poor, H. Vincent. (2022). Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems. IEEE Journal of Selected Topics in Signal Processing, 16(3), 501-515. https://doi.org/10.1109/JSTSP.2022.3144874
dc.relation.referencesKalpana, S. and Saranya, N. and Saundariya, K.. (2021). 2021 International Conference on System, Computation, Automation and Networking (ICSCAN). 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), 1-5. https://doi.org/10.1109/ICSCAN53069.2021.9526443
dc.relation.referencesTarase, Kalpana B. and Panchade, V. M.. (2020). 2020 5th International Conference on Devices, Circuits and Systems (ICDCS). 2020 5th International Conference on Devices, Circuits and Systems (ICDCS), 66-70. https://doi.org/10.1109/ICDCS48716.2020.243550
dc.relation.referencesAlharthi, S. A. and Johnson, P. and Alharthi, M. A.. (2017). 2017 Saudi Arabia Smart Grid (SASG). 2017 Saudi Arabia Smart Grid (SASG), 1-6. https://doi.org/10.1109/SASG.2017.8356507
dc.relation.referencesBertha Mazon-Olivo and Alberto Pan. (2022). Internet of Things: State-of-the-art, Computing Paradigms and Reference Architectures. IEEE Latin America Transactions, 20(1), 49-63. https://doi.org/10.1109/TLA.2022.9662173
dc.relation.referencesElgargouri, Ahmed and Elfituri, Mohamed M. and Elmusrati, Mohammed. (2013). 2013 3rd International Conference on Electric Power and Energy Conversion Systems. IEEE COMMUNICATIONS SURVEYS, 1-6. https://doi.org/10.1109/EPECS.2013.6713080
dc.relation.referencesTamboli, Sadik and Rawale, Mallikarjun and Thoraiet, Rupesh and Agashe, Sudhir. (2015). 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM). 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 258-263. https://doi.org/10.1109/ICSTM.2015.7225424
dc.relation.referencesAsghari, P. and Rahmani, A. and Seyyed Javadi, H.. Internet of Things applications: A systematic review. Computer Networks, 241–261.
dc.relation.referencesChurch, P. and Mueller, H. and Caspar, R. and Gogouvitis, S. and Goscinski, A. and Tari, T.. Migration of a SCADA system to IaaS clouds – a case study. Journal of Cloud Computing: Advances, Systems and Applications, 6(11).
dc.relation.referencesColumbus, L.. 10 Reasons Why The Cloud Is The Future Of Industrial Monitoring. https://www.forbes.com/sites/louiscolumbus/2020/07/11/10-reasons-why-the-cloud-is-the-future-of-industrial-monitoring/?sh=26d8ab5d7ed7
dc.relation.referencesCraven, T.. A Cloud Based Alternative to Traditional SCADA. https://iiot-world.com/industrial-iot/digital-disruption/cloud-based-alternative-to-traditional-scada/
dc.relation.referencesTelecom, D.P.S.. How Do SCADA Systems Work?. https://www.dpstele.com/scada/how-systems-work.php
dc.relation.referencesHelo, P. and Hao, Y. and Toshev, R. and Boldosova, V.. Cloud manufacturing ecosystem analysis and design. Robotics and Computer-Integrated Manufacturing, 67.
dc.relation.referencesAutomation, Inductive. Cloud-Based SCADA Systems: The Benefits & Risks. https://www.controlglobal.com/assets/11WPpdf/111202-inductiveautomation-cloud.pdf
dc.relation.referencesKowalkowsk, C. and Gebauer, H. and Kamp, B. and Parry, G.. Servitization and deservitization: Overview, concepts, and definitions. Industrial Marketing Management, 60, 4–10.
dc.relation.referencesLeminen, S. and Rajahonka, M. and Wendeline, R. and Westerlund, M.. Industrial internet of things business models in the machine-to-machine context. Industrial Marketing Management, 84, 298–311.
dc.relation.referencesMansouri, N. and Ghafari, R. and Hasani Zade, B.. Cloud computing simulators: A comprehensive review. Simulation Modelling Practice and Theory.
dc.relation.referencesD., Petrik and G, Herzwurm. Towards an Understanding of iIoT Ecosystem Evolution - MindSphere Case Study. Software Business. ICSOB, 370, 46–54.
dc.relation.referencesPetrik, D. and Herzwurm, G.. iIoT ecosystem development through boundary resources: a Siemens MindSphere case study. International Workshop on Software-Intensive Business, 1–6.
dc.relation.referencesServicio Nacional de Aprendizaje SENA. Nación 4.0 Oportunidades para la Academia y la Industria en Colombia - SENA. https://www.youtube.com/watch?v=g2Hjieu43kA
dc.relation.referencesSiemens. Mindsphere. https://assets.new.siemens.com/siemens/assets/api/uuid:62663b6b0d4a954ce3278c679e549fc7ab10dc58/mindsphere-whitepaper-espanol.pdf
dc.relation.referencesSiemens A.G.. MindSphere The cloud-based, open IoT operating system for digital transformation. Siemens PLM Software.
dc.relation.referencesSiemens Colombia. En Colombia para Colombia - Business to Society Report. Siemens S.A. https://assets.new.siemens.com/siemens/assets/api/uuid:457a67ff-c8c9-407e-81b6-e30fefd120b5/version:1571754156/b2s-en-colombia-para-colombia-2019.pdf
dc.relation.referencesSiemens. E-House solutions – the fast-track project approach. https://new.siemens.com/global/en/products/energy/medium-voltage/solutions/e-house.html
dc.relation.referencesSiemens. MindSphere - la plataforma que habla con el IoT. https://new.siemens.com/co/es/productos/software/mindsphere.html
dc.relation.referencesSingh, M. and Chawla, A.. Role of Cloud Computing in the Future of Substation Automation. International Journal of Advances In Computer Science and Cloud Computing, 1(2).
dc.relation.referencesUniversidad Pontificia Bolivariana. Industrias 4.0: Oportunidades y Amenazas - Expositor: Ing. https://www.youtube.com/watch?v=cXZWiXzJbwg&t=4173
dc.relation.referencesWei, F. and Feng, N. and Yangab, S. and Zhao, Q.. A conceptual framework of two-stage partner selection in platform-based innovation ecosystems for servitization. Journal of Cleaner Production, 262.
dc.relation.referencesAmazon Web Services. What is IaaS (Infrastructure as a Service)?. https://aws.amazon.com/what-is/iaas/#:~:text=IaaS%20is%20a%20cloud%20computing,services%20affordable%20to%20small%20businesses.
dc.relation.referencesAmazon Web Services. What is PaaS?. https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-paas/
dc.relation.referencesGoogle Cloud. What is software as a service (SaaS)?. https://cloud.google.com/saas
dc.relation.referencesTechTarget. function as a service (FaaS). https://www.techtarget.com/searchitoperations/definition/function-as-a-service-FaaS#:~:text=Function%20as%20a%20service%20(FaaS)%20is%20a%20cloud%20computing%20model,referred%20to%20as%20serverless%20computing.
dc.relation.referencesOluleke Babayomi and Zhenbin Zhang and Tomislav Dragicevic and Jiefeng Hu and Jose Rodriguez. (2023). Smart grid evolution: Predictive control of distributed energy resources—A review. International Journal of Electrical Power & Energy Systems, 147, 108812. https://doi.org/https://doi.org/10.1016/j.ijepes.2022.108812
dc.relation.referencesCüneyt Bayılmış and M. Ali Ebleme and Ünal Çavuşoğlu and Kerem Küçük and Abdullah Sevin. (2022). A survey on communication protocols and performance evaluations for Internet of Things. Digital Communications and Networks, 8(6), 1094-1104. https://doi.org/https://doi.org/10.1016/j.dcan.2022.03.013
dc.relation.referencesJansch J. and Birkhofer H.. Development of the guideline VDI 2221 - The change of direction. International design conference - Design 2006.
dc.relation.referencesJens Bathelt and Urs Frey and Marcel Fankhauser and Anders Jönsson and Stefan Dierssen and Markus Meier. (2005). A New Guideline to Develop a Lecture - Using the VDI 2221 Frame - Applied on a Mechatronic Course. International Conference on Engineering Design - ICED 05 Melbourne.
dc.relation.referencesVDI Verein Deutscher Ingenieure. (2017). VDI-Standards: Setting state-of the-art Benchmarks. https://www.vdi.de/en/home/vdi-standards
dc.relation.referencesVDI Verein Deutscher Ingenieure. (2017). VDI-Uber uns. https://www.vdi.de/ueber-uns
dc.relation.referencesVDI Verein Deutscher Ingenieure. (1973). VDI-Richtlinie 2222, Konzipieren technischer Produkte. VDI-Verlag.
dc.relation.referencesVDI Verein Deutscher Ingenieure. (1993). VDI-Richtlinie 2221, Methodik zum Entwickeln und Konstruieren technischer Systeme und Produkte. VDI-Verlag.
dc.relation.referencesSharghivand, Nafiseh and Derakhshan, Farnaz. (2021). Data Security and Privacy in Industrial IoT. AI-Enabled Threat Detection and Security Analysis for Industrial IoT, 21–39. https://doi.org/10.1007/978-3-030-76613-9_3
dc.relation.referencesSITECO. (2024). SITECO Connect Indoor. https://www.siteco.com/solutions/light-and-building-management/siteco-connect-indoor
dc.relation.referencesSIEMENS. (2024). LOGO! – the compact controller with a cloud interface. https://www.siemens.com/global/en/products/automation/systems/industrial/plc/logo.html
dc.relation.referencesSIEMENS. (2024). Automation and remote terminal units - SICAM A8000. https://www.siemens.com/global/en/products/energy/energy-automation-and-smart-grid/substation-automation/automation-and-remote-terminal-units-sicam-a8000-series.html
dc.relation.referencesSIEMENS. (2020). Service, Digital Portfolio, AssetGuard Management. https://assets.new.siemens.com/siemens/assets/api/uuid:58b7b249-5562-4ec3-9974-6f737373bf13/energy-ip-assetguard-mineralsweek-jtello.pdf
dc.relation.referencesSenseor. (2025). AMS01 solution - Condition Base Monitoring Solution for electrical equipments.. https://senseor.com/switchgear-monitoring-solution
dc.relation.referencesEA Technology - IEEE. (2020). Introduction to Partial Discharge (Causes, Effects, and Detection). https://site.ieee.org/sas-pesias/files/2020/05/IEEE-Alberta_Partial-Discharge.pdf
dc.relation.referencesDoble. (2025). FALCON Medium voltage PD monitoring. https://www.doble.com/product/falcon-1/
dc.relation.referencesWeCon. (2025). V-BOX H SERIES. https://www.we-con.com.cn/en/product_page/244.html
dc.relation.referencesSiemens Digital Industries. (2023). RUGGEDCOM 19” Ethernet Layer 2 Switches. https://support.industry.siemens.com/cs/attachments/109766345/ruggedcom_ethernet_layer_2_switches_en.pdf
dc.relation.referencesSiemens Digital Industries. (2024). SCALANCE X – Industrial Ethernet Switches. https://cache.industry.siemens.com/dl/files/267/109766267/att_1276447/v1/BR_IE_Switches_en.pdf
dc.relation.referencesSiemens Digital Industries. (2024). Cybersecurity for Industry - Combine the real and digital worlds securely. https://assets.new.siemens.com/siemens/assets/api/uuid:fbe10b1e-9589-4c81-9700-2e4713b6892d/difa-i10157-00-7600cybersecurityipdfen16zu9-72.pdf
dc.relation.referencesSiemens Digital Industries. (2025). Totally Integrated Automation (TIA). https://www.siemens.com/global/en/products/automation/topic-areas/tia.html
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseReconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc620 - Ingeniería y operaciones afines::623 - Ingeniería militar y náutica
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
dc.subject.lembSUBESTACIONES ELECTRICASspa
dc.subject.lembElectric substationseng
dc.subject.lembDISTRIBUCION DE ENERGIA ELECTRICAspa
dc.subject.lembElectric power distributioneng
dc.subject.lembSISTEMAS DE INTERCONEXION ELECTRICA-AUTOMATIZACIONspa
dc.subject.lembInterconnected electric utility systems -- Automationeng
dc.subject.lembREDES ELECTRICASspa
dc.subject.lembElectric networkseng
dc.subject.lembSISTEMAS DE BAJO VOLTAJEspa
dc.subject.lembLow voltage systemseng
dc.subject.lembDISTRIBUCION DE ENERGIA ELECTRICA-ALTA TENSIONspa
dc.subject.lembElectric power distribution - high tensioneng
dc.subject.lembAPRENDIZAJE AUTOMATICO (INTELIGENCIA ARTIFICIAL)spa
dc.subject.lembMachine learningeng
dc.subject.lembAPRENDIZAJE SUPERVISADO (APRENDIZAJE AUTOMATICO)spa
dc.subject.lembSupervised learning (Machine learning)eng
dc.subject.proposalInternet de las cosasspa
dc.subject.proposalIoTeng
dc.subject.proposalInternet de la energíaspa
dc.subject.proposalIoEeng
dc.subject.proposalE-Houseeng
dc.subject.proposalMonitoreospa
dc.subject.proposalComputación en la nubespa
dc.subject.proposalMindsphereeng
dc.subject.proposalSmart Grideng
dc.subject.proposalRemotospa
dc.subject.proposalInternet of thingseng
dc.subject.proposalInternet of energyeng
dc.subject.proposalMonitoringeng
dc.subject.proposalCloud computingeng
dc.subject.proposalRemoteeng
dc.titleSistema de monitoreo basado en la nube de Mindsphere para E-Houses de media y baja tensiónspa
dc.title.translatedMindSphere cloud-based monitoring system for medium- and low-voltage E-Houseseng
dc.typeTrabajo de grado - Maestría
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dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
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dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dcterms.audience.professionaldevelopmentEstudiantes
dcterms.audience.professionaldevelopmentInvestigadores
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Sistema de monitoreo basado en la nube de Mindsphere para E-Houses de media y baja tension.pdf
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Tesis de Maestría en Ingeniería Mecánica

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