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

doi:10.1109/CONCAPAN48024.2022.9997634

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

Research and Development Group in Industrial Technologies (GIDTEC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728167152
DOIs	https://doi.org/10.1109/CONCAPAN48024.2022.9997634
State	Published - 2022
Event	40th IEEE Central America and Panama Convention, CONCAPAN 2022 - Panama City, Panama Duration: 9 Nov 2022 → 12 Nov 2022

Publication series

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

Conference

Conference	40th IEEE Central America and Panama Convention, CONCAPAN 2022
Country/Territory	Panama
City	Panama City
Period	9/11/22 → 12/11/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Computer Vision
Hydraulic Weir
Limnimeter

CACES Knowledge Areas

216A Network and Database Design and Administration

Access to Document

10.1109/CONCAPAN48024.2022.9997634

Cite this

Chiliquinga-Chiliquinga, A., Garcés-Llerena, R., Bautista-Naranjo, V., Vayas-Ortega, G., Castillo-Velazquez, J. I., Clotet, R., Huerta, M., & Rivas-Lalaleo, D. (2022). A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT. In Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022 (Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONCAPAN48024.2022.9997634

Chiliquinga-Chiliquinga, A. ; Garcés-Llerena, R. ; Bautista-Naranjo, V. et al. / A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT. Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022).

@inproceedings{38e965d95a324e338653dc57034ee29d,

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

abstract = "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.",

keywords = "Computer Vision, Hydraulic Weir, Limnimeter",

author = "A. Chiliquinga-Chiliquinga and R. Garc{\'e}s-Llerena and V. Bautista-Naranjo and G. Vayas-Ortega and Castillo-Velazquez, \{Jose Ignacio\} and R. Clotet and M. Huerta and D. Rivas-Lalaleo",

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doi = "10.1109/CONCAPAN48024.2022.9997634",

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series = "Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022",

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Chiliquinga-Chiliquinga, A, Garcés-Llerena, R, Bautista-Naranjo, V, Vayas-Ortega, G, Castillo-Velazquez, JI, Clotet, R, Huerta, M & Rivas-Lalaleo, D 2022, A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT. in Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022. Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022, Institute of Electrical and Electronics Engineers Inc., 40th IEEE Central America and Panama Convention, CONCAPAN 2022, Panama City, Panama, 9/11/22. https://doi.org/10.1109/CONCAPAN48024.2022.9997634

A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT. / Chiliquinga-Chiliquinga, A.; Garcés-Llerena, R.; Bautista-Naranjo, V. et al.
Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT

AU - Chiliquinga-Chiliquinga, A.

AU - Garcés-Llerena, R.

AU - Bautista-Naranjo, V.

AU - Vayas-Ortega, G.

AU - Castillo-Velazquez, Jose Ignacio

AU - Clotet, R.

AU - Huerta, M.

AU - Rivas-Lalaleo, D.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Computer Vision

KW - Hydraulic Weir

KW - Limnimeter

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DO - 10.1109/CONCAPAN48024.2022.9997634

M3 - Conference contribution

AN - SCOPUS:85146539158

T3 - Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022

BT - Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 40th IEEE Central America and Panama Convention, CONCAPAN 2022

Y2 - 9 November 2022 through 12 November 2022

ER -

Chiliquinga-Chiliquinga A, Garcés-Llerena R, Bautista-Naranjo V, Vayas-Ortega G, Castillo-Velazquez JI, Clotet R et al. A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT. In Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022). doi: 10.1109/CONCAPAN48024.2022.9997634

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

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Cite this