Signal processing method based on connection fitting of echo peak point with a large slope for ultrasonic gas flow...

Area of Science:

• Engineering
• Physics
• Instrumentation

Background:

• Ultrasonic gas flow meters are ideal for large pipelines but face challenges with stable signal feature detection.
• Existing signal processing methods are computationally intensive, hindering real-time flow rate calculations.

Purpose of the Study:

• To develop a robust and computationally efficient signal processing method for ultrasonic gas flow meters.
• To enhance the real-time measurement accuracy and stability of ultrasonic gas flow measurements.

Main Methods:

• Analysis of ultrasonic echo signal stability and contour variations at different gas flow rates.
• Development of a novel signal processing technique based on fitting echo peak points with a high, constant slope.
• Implementation of the method on a dual-core hardware system.

Main Results:

• Identified stable peak points in the middle rising segment of the echo signal.
• Developed a signal processing method that is easy to implement, computationally light, and resistant to interference.
• Achieved 1.0-level accuracy for gas flow rates ranging from 30 m³/h to 1100 m³/h.

Conclusions:

• The proposed method offers a significant improvement for ultrasonic gas flow meter performance.
• This approach enhances real-time measurement capabilities and accuracy in industrial applications.
• The findings provide a foundation for future research in ultrasonic signal processing for flow measurement.