Prototyping of a CO detection system in subway parking garages using arduino nano
Descripción del Articulo
The present work focuses on detecting carbon monoxide in underground parking lots using a robot controlled by Arduino Nano. Equipped with specific sensors, an LCD screen, and a rechargeable lithium battery, the robot performs initial inspections, with damped servomotors for efficient mobility. Obsta...
| Autores: | , , , |
|---|---|
| Formato: | objeto de conferencia |
| Fecha de Publicación: | 2024 |
| Institución: | Universidad Tecnológica del Perú |
| Repositorio: | UTP-Institucional |
| Lenguaje: | español |
| OAI Identifier: | oai:repositorio.utp.edu.pe:20.500.12867/14397 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12867/14397 https://doi.org/10.18687/LACCEI2024.1.1.998 |
| Nivel de acceso: | acceso abierto |
| Materia: | Monitoring Machine Learning Toxic gases https://purl.org/pe-repo/ocde/ford#2.02.01 |
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Prototyping of a CO detection system in subway parking garages using arduino nano |
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Prototyping of a CO detection system in subway parking garages using arduino nano |
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Prototyping of a CO detection system in subway parking garages using arduino nano Rodriguez, Richard Monitoring Machine Learning Toxic gases https://purl.org/pe-repo/ocde/ford#2.02.01 |
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Prototyping of a CO detection system in subway parking garages using arduino nano |
| title_full |
Prototyping of a CO detection system in subway parking garages using arduino nano |
| title_fullStr |
Prototyping of a CO detection system in subway parking garages using arduino nano |
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Prototyping of a CO detection system in subway parking garages using arduino nano |
| title_sort |
Prototyping of a CO detection system in subway parking garages using arduino nano |
| author |
Rodriguez, Richard |
| author_facet |
Rodriguez, Richard Cortegana, Jheiser Jirón, Andrés Padilla, Darwin |
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author |
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Cortegana, Jheiser Jirón, Andrés Padilla, Darwin |
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Rodriguez, Richard Cortegana, Jheiser Jirón, Andrés Padilla, Darwin |
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Monitoring Machine Learning Toxic gases |
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Monitoring Machine Learning Toxic gases https://purl.org/pe-repo/ocde/ford#2.02.01 |
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https://purl.org/pe-repo/ocde/ford#2.02.01 |
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The present work focuses on detecting carbon monoxide in underground parking lots using a robot controlled by Arduino Nano. Equipped with specific sensors, an LCD screen, and a rechargeable lithium battery, the robot performs initial inspections, with damped servomotors for efficient mobility. Obstacle detection is carried out using an ultrasonic device, and the data is recorded in real-time on the EMQX server. To reduce mortality rates and protect operators from exposure to toxic gases, this project accurately measures environmental parameters, highlighting the importance of servomotors in vehicle movement. |
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2024 |
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Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
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https://doi.org/10.18687/LACCEI2024.1.1.998 |
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2414-6390 Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
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Rodriguez, RichardCortegana, JheiserJirón, AndrésPadilla, Darwin2025-11-05T18:10:03Z2025-11-05T18:10:03Z20242414-6390https://hdl.handle.net/20.500.12867/14397Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technologyhttps://doi.org/10.18687/LACCEI2024.1.1.998The present work focuses on detecting carbon monoxide in underground parking lots using a robot controlled by Arduino Nano. Equipped with specific sensors, an LCD screen, and a rechargeable lithium battery, the robot performs initial inspections, with damped servomotors for efficient mobility. Obstacle detection is carried out using an ultrasonic device, and the data is recorded in real-time on the EMQX server. 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Nota importante:
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).