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http://repositorio.espe.edu.ec/handle/21000/32441
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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.advisor | Rivas Lalaleo, David Raimundo | - |
dc.contributor.author | Chiliquinga Chiliquinga, Alex Darío | - |
dc.contributor.author | Garcés Llerena, Ronald Josué | - |
dc.date.accessioned | 2022-09-07T17:41:38Z | - |
dc.date.available | 2022-09-07T17:41:38Z | - |
dc.date.issued | 2022-07-22 | - |
dc.identifier.citation | Chiliquinga Chiliquinga, Alex Darío. Garcés Llerena, Ronald Josué (2022). Artificial Vision and IoT for Automation of Remote Reading for Limnimeters in Hydraulic Weirs. Carrera de Ingeniería Electrónica e Instrumentación. Departamento de Eléctrica y Electrónica. Universidad de las Fuerzas Armadas ESPE. Extensión Latacunga. | es_ES |
dc.identifier.other | ENI-0486 | - |
dc.identifier.uri | http://repositorio.espe.edu.ec/handle/21000/32441 | - |
dc.description.abstract | The measurement of flow in a hydraulic weir with a limnime ter is very important to adequately distribute the vital liquid for uses such as irrigation and human consumption. These measurements by in trusive methods are usually costly, time consuming and even with that investment it is sometimes not enough to ensure reliable results. Wa ter level changes are difficult to measure manually because they are not repetitive due to the climatic variability generated in the places where these weirs are located. This work presents a non-invasive image pro cessing and segmentation system, based on artificial vision and IoT, that ensures the detection and measurement of flow in a hydraulic weir over space and time. Tests developed in different environmental conditions during the course of the day, show a more efficient measurement with an error of less than ± 2% and a rate of 6 samples/hour. | es_ES |
dc.description.sponsorship | ESPE-L | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Universidad de las Fuerzas Armadas ESPE. Extensión Latacunga. Carrera de Ingeniería en Electrónica e Instrumentación. | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | IOT | es_ES |
dc.subject | LIMNÍMETRO | es_ES |
dc.subject | VISIÓN ARTIFICIAL | es_ES |
dc.subject | PRESA HIDRÁULICA | es_ES |
dc.title | Artificial Vision and IoT for Automation of Remote Reading for Limnimeters in Hydraulic Weirs. | es_ES |
dc.type | article | es_ES |
Aparece en las colecciones: | Artículos Académicos - Carrera de Ingeniería Electrónica e Instrumentación (ESPEL) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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AA-ESPEL-ENI-0486.pdf | ARTÍCULO ACADÉMICO | 8,11 MB | Adobe PDF | Visualizar/Abrir |
ESPEL-ENI-0486-P.pdf | PRESENTACIÓN | 6,62 MB | Adobe PDF | Visualizar/Abrir |
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