Almacenamiento en tiempo real sobre Cloud Computing AWS y PostgreSQL de variables termodinámicas y eléctricas de un refrigerador doméstico 372 LRT F380G TMF conectado a un dispositivo IoT - ESP32

This degree work is related to specific objective 1 of a Research Project VCTI2024-1 on the real performance of domestic refrigerators. It refers to the design and implementation of real-time data storage on Amazon Cloud Computing, using different AWS IoT Core Services. The IoT device used for data...

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Autores:
Quintero Lozano, Miguel Angel
Tipo de recurso:
Tesis
Fecha de publicación:
2023
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/9821
Acceso en línea:
https://repositorio.uan.edu.co/handle/123456789/9821
Palabra clave:
computación en la nube
almacenamiento en la nube
plataformas IoT
dispositivos IoT
cloud computing
cloud storage
IoT platforms
IoT devices
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Description
Summary:This degree work is related to specific objective 1 of a Research Project VCTI2024-1 on the real performance of domestic refrigerators. It refers to the design and implementation of real-time data storage on Amazon Cloud Computing, using different AWS IoT Core Services. The IoT device used for data collection is a prototype developed in the VCTI Project 2019234 based on the ESP32 SoC that connects to the cloud to an instrumented 372 LRT F380G TMF domestic refrigerator. The configured AWS Services are fundamentally related to communication and access to AWS's own horizontally and vertically scalable Database. PostgreSQL is used to allow other applications to access the data, such as Matlab. The results of data recording and visualization are displayed in http applications in desktop and mobile versions respectively. Information corresponding to 31 variables is stored for a period of up to 12 months with sampling periods of 2.2 seconds.