Design and implementation of a low-cost CO2 monitoring and control system prototype to optimize ventilation levels in closed spaces
Descripción del Articulo
High concentrations of CO2 levels are significantly present in closed environments that do not have proper ventilation. Such high concentrations generate negative health consequences such as dizziness, headaches and various respiratory problems. For this reason, the design and implementation of a lo...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2022 |
Institución: | Universidad Tecnológica del Perú |
Repositorio: | UTP-Institucional |
Lenguaje: | español |
OAI Identifier: | oai:repositorio.utp.edu.pe:20.500.12867/5803 |
Enlace del recurso: | https://hdl.handle.net/20.500.12867/5803 http://doi.org/10.14569/IJACSA.2022.0130363 |
Nivel de acceso: | acceso abierto |
Materia: | CO2 Monitoring Ventilation System Internet of things https://purl.org/pe-repo/ocde/ford#2.11.03 |
Sumario: | High concentrations of CO2 levels are significantly present in closed environments that do not have proper ventilation. Such high concentrations generate negative health consequences such as dizziness, headaches and various respiratory problems. For this reason, the design and implementation of a low-cost CO2 monitoring and control prototype is proposed to optimize ventilation levels in closed spaces. The parameters that the proposed device measures are concentration of carbon dioxide, humidity and temperature. A digital PID controller was implemented, with the use of C++ programming language and an exhaust fan to stabilize carbon dioxide levels within a closed space. The aforementioned parameters can be viewed in two ways: The first way is locally through a LCD screen and LED indicators, and the second one, remotely using the free Arduino IoT Cloud platform. The closed environment was emulated using a cardboard box and in the tests it was obtained that the prototype manages to keep the CO2 concentration levels below the established limit. However, this can be further improved by using more precise sensors for more accurate results. It is expected that this model can be successfully scaled to closed spaces such as classrooms and offices. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).