Research on Dynamic Measurement Method of Flow Rate in Tea Processing.

Area of Science:

• Agricultural Engineering
• Signal Processing
• Measurement Science

Background:

• Tea flow rate is crucial for production efficiency.
• Real-time tea flow signals are often obscured by transmission system noise.
• Inaccurate dynamic measurement affects overall tea processing control.

Purpose of the Study:

• To develop an effective denoising method for tea flow signals.
• To enhance the accuracy of dynamic tea flow measurements.
• To provide technical support for digital tea processing control.

Main Methods:

• Proposed a variational mode decomposition combined with wavelet threshold (VMD-WT) denoising method.
• Established a VMD-WT denoising process for tea flow signals.
• Compared VMD-WT performance against WT, VMD, EMD, and EMD-WT methods.

Main Results:

• Identified mechanical vibration as the primary source of noise in tea flow measurement.
• VMD-WT demonstrated superior noise removal capabilities compared to other methods.
• Achieved an average cumulative measurement accuracy of 0.88% for tea flow signals using VMD-WT.

Conclusions:

• The VMD-WT method effectively denoises tea dynamic weighing signals.
• This technique offers a 55% improvement in measurement accuracy compared to pre-denoising.
• Provides a robust solution for accurate dynamic tea flow measurement and digital process control.