Ultrasonic Flow Sensor Calibration With Adaptive Pulse Excitation
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Solution Overview
Problem
Ultrasonic flow sensors face inaccuracies due to manufacturing errors in flow tube length and low signal-to-noise ratios (SNR) in ultrasonic signals, leading to increased production costs and signal saturation.
Innovation Solution
A system and method for calibrating ultrasonic flow sensors using a processor to adjust the number of excitation pulses based on signal-to-noise ratio (SNR) and saturation, employing machine learning models to optimize the excitation pulse pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed pulse ping pattern is used for exciting ultrasonic crystals, then the device complexity is reduced, but the signal-to-noise ratio deteriorates and signal saturation occurs due to uncontrollable crystal impedance and fluid material properties
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed pulse ping pattern to a dynamic, adaptive pulse pattern. The system continuously monitors the actual pulse echo signal characteristics and automatically adjusts the pulse ping pattern parameters (such as pulse width, frequency, and amplitude) in real-time. This dynamic adaptation allows the system to optimize the excitation pattern based on actual crystal impedance and fluid properties, thereby improving signal-to-noise ratio while preventing saturation without requiring complex manual configuration.
2Measurement precision
If an additional manufacturing step is added to measure accurate flow tube length, then the measurement precision improves, but the manufacturing cost and production time increase
Solution Approach 1:
The patent applies self-service by enabling the ultrasonic flow sensor to automatically determine its own flow tube length using the ultrasonic signals already being transmitted for flow measurement. The system uses the time-of-flight of ultrasonic pulses through the flow tube to calculate the tube length, eliminating the need for separate manual measurement steps during manufacturing. This self-determination approach maintains high measurement precision while preserving manufacturing efficiency, as the calibration data is obtained during normal operation rather than requiring additional production time.
3Reliability
If the number of excitation pulses is increased to improve signal quality, then the signal-to-noise ratio improves, but the energy consumption and risk of saturation increase
Solution Approach 1:
The patent applies feedback by implementing a closed-loop control system that monitors the actual pulse echo signal characteristics during each excitation cycle. The system analyzes parameters such as signal amplitude, rise time, and noise level to assess signal quality in real-time. Based on this feedback, the controller dynamically adjusts the number and characteristics of subsequent excitation pulses. When signal quality is sufficient, the system uses fewer pulses to conserve energy; when signal quality deteriorates, the system increases the number of pulses or adjusts their parameters to improve signal-to-noise ratio, thereby optimizing energy consumption while maintaining reliable measurements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves accuracy and reduces production costs by dynamically adjusting the excitation pulse pattern to enhance SNR and prevent saturation, thereby enhancing the calibration process.
Implementation Method 1
a first piezoelectric sensor or transducer arranged at an upstream position of the flow tube, and a second piezoelectric sensor or transducer arranged at a downstream position of the flow tube
Implementation Method 2
provide an excitation pulse pattern including a number of excitation pulses to at least one of the first piezoelectric sensor or transducer, the second piezoelectric sensor or transducer, or any combination thereof to cause the least one of the first piezoelectric sensor or transducer, the second piezoelectric sensor or transducer, or any combination thereof to transmit at least one ultrasonic signal to the other
Data Source
AI summary
Systems, methods, and computer program products are provided for calibrating ultrasonic flow sensors. An example system includes an ultrasonic flow sensor that includes a flow tube, a first piezoelectric sensor or transducer, and a second piezoelectric sensor or transducer; and at least one processor configured to: (vi) modify, based on (i) whether a signal-to-noise ratio (SNR) associated with at least one ultrasonic signal satisfies at least one threshold SNR ratio and (ii) whether the at least one ultrasonic signal includes saturation, a number of excitation pulses included in an excitation pulse pattern.


