التفاصيل البيبلوغرافية
| العنوان: |
Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization |
| المؤلفون: |
José R. García Oya, Alejandro Sainz Rojas, Daniel Narbona Miguel, Ramón González Carvajal, Fernando Muñoz Chavero |
| المصدر: |
Sensors, Vol 22, Iss 24, p 9912 (2022) |
| بيانات النشر: |
MDPI AG, 2022. |
| سنة النشر: |
2022 |
| المجموعة: |
LCC:Chemical technology |
| مصطلحات موضوعية: |
cross-correlation, IoT sensors networks, piezoelectric transducers, transit time measurement, ultrasonic gas flow sensors, Chemical technology, TP1-1185 |
| الوصف: |
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. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
1424-8220 |
| Relation: |
https://www.mdpi.com/1424-8220/22/24/9912; https://doaj.org/toc/1424-8220 |
| DOI: |
10.3390/s22249912 |
| URL الوصول: |
https://doaj.org/article/c3c4c2b5862f42b89ec186caae271ec7 |
| رقم الانضمام: |
edsdoj.3c4c2b5862f42b89ec186caae271ec7 |
| قاعدة البيانات: |
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