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High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

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Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization.

José R García Oya¹, Alejandro Sainz Rojas¹, Daniel Narbona Miguel¹

¹Electronic Engineering Department, University of Seville, E-41092 Seville, Spain.

Sensors (Basel, Switzerland)

|December 23, 2022

Summary

This summary is machine-generated.

This study presents an optimized ultrasonic gas flow sensor using a V-configuration and Hilbert Transform algorithm. The design achieves high accuracy and low power consumption, ideal for smart gas meters and IoT applications.

Keywords:

IoT sensors networks cross-correlation piezoelectric transducers transit time measurement ultrasonic gas flow sensors

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Area of Science:

Engineering
Sensor Technology
Acoustics

Background:

Accurate gas flow measurement is critical for industrial applications and smart metering.
Existing ultrasonic flow sensors face challenges in balancing accuracy, power consumption, and cost.

Purpose of the Study:

To design and validate a novel ultrasonic transit time-based gas flow sensor.
To optimize the sensor for accuracy, sensitivity, and low power consumption.
To meet the stringent accuracy requirements of the European standard EN14236.

Main Methods:

Mechanical design of the sensor pipe and piezoelectric transducer configuration (V-configuration, 200 kHz).
Implementation of a cross-correlation algorithm based on the Hilbert Transform for time-of-flight detection.
Electronics design and experimental validation across various flow rates and temperatures.

Main Results:

The designed ultrasonic gas flow sensor demonstrates high accuracy and sensitivity.
The sensor complies with the accuracy specifications of the European standard EN14236.
Achieved low power consumption, crucial for IoT devices and extended battery life.

Conclusions:

The proposed ultrasonic gas flow sensor represents a state-of-the-art solution in terms of cost, accuracy, and power efficiency.
The sensor's performance makes it suitable for advanced smart gas meters and Internet of Things (IoT) applications.
Further integration into autonomous IoT devices is facilitated by its low power requirements.