Cargando…
Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization
In this paper, a fully designed ultrasonic transit time-based gas flow sensor is presented. The proposed sensor has been optimized in terms of accuracy, sensitivity, and power consumption at different design stages: mechanical design of the sensor pipe, piezoelectric transducer configuration and val...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782514/ https://www.ncbi.nlm.nih.gov/pubmed/36560282 http://dx.doi.org/10.3390/s22249912 |
_version_ | 1784857361155883008 |
---|---|
author | García Oya, José R. Sainz Rojas, Alejandro Narbona Miguel, Daniel González Carvajal, Ramón Muñoz Chavero, Fernando |
author_facet | García Oya, José R. Sainz Rojas, Alejandro Narbona Miguel, Daniel González Carvajal, Ramón Muñoz Chavero, Fernando |
author_sort | García Oya, José R. |
collection | PubMed |
description | In this paper, a fully designed ultrasonic transit time-based gas flow sensor is presented. The proposed sensor has been optimized in terms of accuracy, sensitivity, and power consumption at different design stages: mechanical design of the sensor pipe, piezoelectric transducer configuration and validation over temperature, time of flight detection algorithm, and electronics design. From the optimization and integration of each design part, the final designed gas flow sensor is based on the employment of 200 kHz-piezoelectric transducers mounted in a V-configuration and on the implementation of a cross-correlation algorithm based on the Hilbert Transform for time-of-flight detection purposes. The proposed sensor has been experimentally validated at different flow rates and temperatures, and it fully complies with the accuracy specifications required by the European standard EN14236, placing the proposed design into the state of the art of ultrasonic gas flow sensors regarding cost, accuracy, and power consumption, the latter of which is crucial for implementing smart gas meters that are able to autonomously operate as IoT devices by extending their battery life. |
format | Online Article Text |
id | pubmed-9782514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97825142022-12-24 Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization García Oya, José R. Sainz Rojas, Alejandro Narbona Miguel, Daniel González Carvajal, Ramón Muñoz Chavero, Fernando Sensors (Basel) Article In this paper, a fully designed ultrasonic transit time-based gas flow sensor is presented. The proposed sensor has been optimized in terms of accuracy, sensitivity, and power consumption at different design stages: mechanical design of the sensor pipe, piezoelectric transducer configuration and validation over temperature, time of flight detection algorithm, and electronics design. From the optimization and integration of each design part, the final designed gas flow sensor is based on the employment of 200 kHz-piezoelectric transducers mounted in a V-configuration and on the implementation of a cross-correlation algorithm based on the Hilbert Transform for time-of-flight detection purposes. The proposed sensor has been experimentally validated at different flow rates and temperatures, and it fully complies with the accuracy specifications required by the European standard EN14236, placing the proposed design into the state of the art of ultrasonic gas flow sensors regarding cost, accuracy, and power consumption, the latter of which is crucial for implementing smart gas meters that are able to autonomously operate as IoT devices by extending their battery life. MDPI 2022-12-16 /pmc/articles/PMC9782514/ /pubmed/36560282 http://dx.doi.org/10.3390/s22249912 Text en © 2022 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 García Oya, José R. Sainz Rojas, Alejandro Narbona Miguel, Daniel González Carvajal, Ramón Muñoz Chavero, Fernando Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
title | Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
title_full | Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
title_fullStr | Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
title_full_unstemmed | Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
title_short | Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
title_sort | low-power transit time-based gas flow sensor with accuracy optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782514/ https://www.ncbi.nlm.nih.gov/pubmed/36560282 http://dx.doi.org/10.3390/s22249912 |
work_keys_str_mv | AT garciaoyajoser lowpowertransittimebasedgasflowsensorwithaccuracyoptimization AT sainzrojasalejandro lowpowertransittimebasedgasflowsensorwithaccuracyoptimization AT narbonamigueldaniel lowpowertransittimebasedgasflowsensorwithaccuracyoptimization AT gonzalezcarvajalramon lowpowertransittimebasedgasflowsensorwithaccuracyoptimization AT munozchaverofernando lowpowertransittimebasedgasflowsensorwithaccuracyoptimization |