Sistema de Monitoreo de Variables Fisicoquímicas en el Mar
Abstract. In this article, an intelligent buoy prototype is presented to identify physicochemical variables that can be used to determine the presence of oily substances accumulated in the sea due to marine plastic debris. The buoy is placed in the sea, has a Global Positioning System (GPS), and all...
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Universida de Sonora
2023
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| Sarrera elektronikoa: | https://invurnus.unison.mx/index.php/INVURNUS/article/view/67 |
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oai:ojs2.127.0.0.1:article-672023-10-11T03:12:32Z Sistema de Monitoreo de Variables Fisicoquímicas en el Mar Villalvazo, Efrain Abstract. In this article, an intelligent buoy prototype is presented to identify physicochemical variables that can be used to determine the presence of oily substances accumulated in the sea due to marine plastic debris. The buoy is placed in the sea, has a Global Positioning System (GPS), and allows water samples to be taken with sensors to be analyzed. The buoy has four sensors to monitor CO2, TEMPERATURE, PH, and TURBIDITY. The data will be sent, stored, and labeled with machine learning to predict scenarios. The information will generate an open access database to be consulted in real-time and develop a results dashboard. En el presente artículo se presenta un prototipo de boya inteligente para identificar variables fisicoquímicas que pueden ser utilizadas para determinar la presencia de sustancias oleosas acumuladas en el mar debido a la presencia de desechos plásticos marinos. La boya se coloca en el mar, tiene un Sistema de Posicionamiento Global (GPS) y permite tomar muestras del agua con sensores para ser analizadas. La boya está equipada con 3 sensores para monitorear TEMPERATURA, PH y TURBIDEZ. Los datos se envían, almacenaran y etiquetaran con machine learning para predecir escenarios. La información se utiliza para generar una base de datos de acceso abierto para ser consultada en tiempo real y desarrollar un tablero de resultados. Universida de Sonora 2023-07-23 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo revisado por pares application/pdf https://invurnus.unison.mx/index.php/INVURNUS/article/view/67 10.46588/invurnus.v18i1.67 INVURNUS; Vol. 18 Núm. 1 (2023): enero - diciembre 2007-6185 2007-5421 spa https://invurnus.unison.mx/index.php/INVURNUS/article/view/67/72 Derechos de autor 2023 https://creativecommons.org/licenses/by-nc/4.0 |
| institution |
Invurnus |
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OJS |
| language |
spa |
| format |
Online |
| author |
Villalvazo, Efrain |
| spellingShingle |
Villalvazo, Efrain Sistema de Monitoreo de Variables Fisicoquímicas en el Mar |
| author_facet |
Villalvazo, Efrain |
| author_sort |
Villalvazo, Efrain |
| title |
Sistema de Monitoreo de Variables Fisicoquímicas en el Mar |
| title_short |
Sistema de Monitoreo de Variables Fisicoquímicas en el Mar |
| title_full |
Sistema de Monitoreo de Variables Fisicoquímicas en el Mar |
| title_fullStr |
Sistema de Monitoreo de Variables Fisicoquímicas en el Mar |
| title_full_unstemmed |
Sistema de Monitoreo de Variables Fisicoquímicas en el Mar |
| title_sort |
sistema de monitoreo de variables fisicoquímicas en el mar |
| description |
Abstract. In this article, an intelligent buoy prototype is presented to identify physicochemical variables that can be used to determine the presence of oily substances accumulated in the sea due to marine plastic debris. The buoy is placed in the sea, has a Global Positioning System (GPS), and allows water samples to be taken with sensors to be analyzed. The buoy has four sensors to monitor CO2, TEMPERATURE, PH, and TURBIDITY. The data will be sent, stored, and labeled with machine learning to predict scenarios. The information will generate an open access database to be consulted in real-time and develop a results dashboard. |
| publisher |
Universida de Sonora |
| publishDate |
2023 |
| url |
https://invurnus.unison.mx/index.php/INVURNUS/article/view/67 |
| work_keys_str_mv |
AT villalvazoefrain sistemademonitoreodevariablesfisicoquimicasenelmar |
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