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A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth

We designed an out-of-water radar water velocity and depth sensor, which is unique due to its low cost and low power consumption. The sensor is a first at a cost of less than USD 50, which is well suited to previously cost-prohibited high-resolution monitoring schemes. This use case is further suppo...

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Autores principales: Catsamas, Stephen, Shi, Baiqian, Wang, Miao, Xiao, Jieren, Kolotelo, Peter, McCarthy, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385264/
https://www.ncbi.nlm.nih.gov/pubmed/37514609
http://dx.doi.org/10.3390/s23146314
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author Catsamas, Stephen
Shi, Baiqian
Wang, Miao
Xiao, Jieren
Kolotelo, Peter
McCarthy, David
author_facet Catsamas, Stephen
Shi, Baiqian
Wang, Miao
Xiao, Jieren
Kolotelo, Peter
McCarthy, David
author_sort Catsamas, Stephen
collection PubMed
description We designed an out-of-water radar water velocity and depth sensor, which is unique due to its low cost and low power consumption. The sensor is a first at a cost of less than USD 50, which is well suited to previously cost-prohibited high-resolution monitoring schemes. This use case is further supported by its out-of-water operation, which provides low-effort installations and longer maintenance-free intervals when compared with in-water sensors. The inclusion of both velocity and depth measurement capabilities allows the sensor to also be used as an all-in-one solution for flowrate measurement. We discuss the design of the sensor, which has been made freely available under open-hardware and open-source licenses. The design uses commonly available electronic components, and a 3D-printed casing makes the design easy to replicate and modify. Not before seen on a hydrology sensor, we include a 3D-printed radar lens in the casing, which boosts radar sensitivity by 21 dB. The velocity and depth-sensing performance were characterised in laboratory and in-field tests. The depth is accurate to within ±6% and ±7 mm and the uncertainty in the velocity measurements ranges from less than 30% to 36% in both laboratory and field conditions. Our sensor is demonstrated to be a feasible low-cost design which nears the uncertainty of current, yet more expensive, velocity sensors, especially when field performance is considered.
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spelling pubmed-103852642023-07-30 A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth Catsamas, Stephen Shi, Baiqian Wang, Miao Xiao, Jieren Kolotelo, Peter McCarthy, David Sensors (Basel) Article We designed an out-of-water radar water velocity and depth sensor, which is unique due to its low cost and low power consumption. The sensor is a first at a cost of less than USD 50, which is well suited to previously cost-prohibited high-resolution monitoring schemes. This use case is further supported by its out-of-water operation, which provides low-effort installations and longer maintenance-free intervals when compared with in-water sensors. The inclusion of both velocity and depth measurement capabilities allows the sensor to also be used as an all-in-one solution for flowrate measurement. We discuss the design of the sensor, which has been made freely available under open-hardware and open-source licenses. The design uses commonly available electronic components, and a 3D-printed casing makes the design easy to replicate and modify. Not before seen on a hydrology sensor, we include a 3D-printed radar lens in the casing, which boosts radar sensitivity by 21 dB. The velocity and depth-sensing performance were characterised in laboratory and in-field tests. The depth is accurate to within ±6% and ±7 mm and the uncertainty in the velocity measurements ranges from less than 30% to 36% in both laboratory and field conditions. Our sensor is demonstrated to be a feasible low-cost design which nears the uncertainty of current, yet more expensive, velocity sensors, especially when field performance is considered. MDPI 2023-07-11 /pmc/articles/PMC10385264/ /pubmed/37514609 http://dx.doi.org/10.3390/s23146314 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Catsamas, Stephen
Shi, Baiqian
Wang, Miao
Xiao, Jieren
Kolotelo, Peter
McCarthy, David
A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth
title A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth
title_full A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth
title_fullStr A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth
title_full_unstemmed A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth
title_short A Low-Cost Radar-Based IoT Sensor for Noncontact Measurements of Water Surface Velocity and Depth
title_sort low-cost radar-based iot sensor for noncontact measurements of water surface velocity and depth
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385264/
https://www.ncbi.nlm.nih.gov/pubmed/37514609
http://dx.doi.org/10.3390/s23146314
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