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A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT

  • A. Chiliquinga-Chiliquinga
  • , R. Garcés-Llerena
  • , V. Bautista-Naranjo
  • , G. Vayas-Ortega
  • , Jose Ignacio Castillo-Velazquez
  • , R. Clotet
  • , M. Huerta
  • , D. Rivas-Lalaleo

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

It is neither practical nor economical to make continuous and direct measurements of the water flow in a stream, so indirect methods must be used to measure the water level and, based on a calibration curve, relate it to the corresponding flow rate. A hydraulic weir with a limnimeter fulfills this purpose, but its disadvantage is that it does not allow the automated registration of the water level and therefore new and more efficient technologies must be used to perform this measurement automatically and thus have a lower waste and optimization of the resource. This experiment develops an algorithm based on computer vision and the inclusion of the concepts of the Internet of Things, in order to measure and record the values of the water level in a hydraulic dam, also includes energy storage system, power supply, remote computer, devices with wireless communication and IoT platform that allow a measurement error of less than ± 2% to be obtained with respect to a visual measurement made by the operator.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728167152
DOI
EstadoPublicada - 2022
Evento40th IEEE Central America and Panama Convention, CONCAPAN 2022 - Panama City, Panamá
Duración: 9 nov. 202212 nov. 2022

Serie de la publicación

NombreProceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022

Conferencia

Conferencia40th IEEE Central America and Panama Convention, CONCAPAN 2022
País/TerritorioPanamá
CiudadPanama City
Período9/11/2212/11/22

Nota bibliográfica

Publisher Copyright:
© 2022 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

Areas de Conocimiento del CACES

  • 216A Diseño y administración de redes y bases de datos

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