Cargando…

Smart Water Meter Using Electrical Resistance Tomography †

Smart flow monitoring is critical for sewer system management. Obstructions and restrictions to flow in discharge pipes are common and costly. We propose the use of electrical resistance tomography modality for the task of smart wastewater metering. This paper presents the electronics hardware desig...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Chenning, Hutton, Martin, Soleimani, Manuchehr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678559/
https://www.ncbi.nlm.nih.gov/pubmed/31295910
http://dx.doi.org/10.3390/s19143043
_version_ 1783441129676472320
author Wu, Chenning
Hutton, Martin
Soleimani, Manuchehr
author_facet Wu, Chenning
Hutton, Martin
Soleimani, Manuchehr
author_sort Wu, Chenning
collection PubMed
description Smart flow monitoring is critical for sewer system management. Obstructions and restrictions to flow in discharge pipes are common and costly. We propose the use of electrical resistance tomography modality for the task of smart wastewater metering. This paper presents the electronics hardware design and bespoke signal processing to create an embedded sensor for measuring flow rates and flow properties, such as constituent materials in sewage or grey water discharge pipes of diameters larger than 250 mm. The dedicated analogue signal conditioning module, zero-cross switching scheme, and real-time operating system enable the system to perform low-cost serial measurements while still providing the capability of real-time capturing. The system performance was evaluated via both stationary and dynamic experiments. A data acquisition speed of 14 frames per second (fps) was achieved with an overall signal to noise ratio of at least 59.54 dB. The smallest sample size reported was 0.04% of the domain size in stationary tests, illustrating good resolution. Movements have been successfully captured in dynamic tests, with a clear definition being achieved of objects in each reconstructed image, as well as a fine overall visualization of movement.
format Online
Article
Text
id pubmed-6678559
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-66785592019-08-19 Smart Water Meter Using Electrical Resistance Tomography † Wu, Chenning Hutton, Martin Soleimani, Manuchehr Sensors (Basel) Article Smart flow monitoring is critical for sewer system management. Obstructions and restrictions to flow in discharge pipes are common and costly. We propose the use of electrical resistance tomography modality for the task of smart wastewater metering. This paper presents the electronics hardware design and bespoke signal processing to create an embedded sensor for measuring flow rates and flow properties, such as constituent materials in sewage or grey water discharge pipes of diameters larger than 250 mm. The dedicated analogue signal conditioning module, zero-cross switching scheme, and real-time operating system enable the system to perform low-cost serial measurements while still providing the capability of real-time capturing. The system performance was evaluated via both stationary and dynamic experiments. A data acquisition speed of 14 frames per second (fps) was achieved with an overall signal to noise ratio of at least 59.54 dB. The smallest sample size reported was 0.04% of the domain size in stationary tests, illustrating good resolution. Movements have been successfully captured in dynamic tests, with a clear definition being achieved of objects in each reconstructed image, as well as a fine overall visualization of movement. MDPI 2019-07-10 /pmc/articles/PMC6678559/ /pubmed/31295910 http://dx.doi.org/10.3390/s19143043 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Chenning
Hutton, Martin
Soleimani, Manuchehr
Smart Water Meter Using Electrical Resistance Tomography †
title Smart Water Meter Using Electrical Resistance Tomography †
title_full Smart Water Meter Using Electrical Resistance Tomography †
title_fullStr Smart Water Meter Using Electrical Resistance Tomography †
title_full_unstemmed Smart Water Meter Using Electrical Resistance Tomography †
title_short Smart Water Meter Using Electrical Resistance Tomography †
title_sort smart water meter using electrical resistance tomography †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678559/
https://www.ncbi.nlm.nih.gov/pubmed/31295910
http://dx.doi.org/10.3390/s19143043
work_keys_str_mv AT wuchenning smartwatermeterusingelectricalresistancetomography
AT huttonmartin smartwatermeterusingelectricalresistancetomography
AT soleimanimanuchehr smartwatermeterusingelectricalresistancetomography