Research on a Combined Harvester Grain Loss Detection Sensor Based on Vibration Characteristic Optimization.

Area of Science:

• Agricultural Engineering
• Mechanical Engineering
• Sensor Technology

Background:

• Existing grain combine harvesters suffer from low detection efficiency in real-time loss rate monitoring.
• Optimizing sensor-sensitive plate structure is crucial for improving accuracy.

Purpose of the Study:

• To enhance the real-time monitoring accuracy of grain combine harvester loss rates.
• To address the limitations of current detection equipment through sensor optimization.

Main Methods:

• Modal analysis and impact tests using COMSOL 6.0 software on various plate structures and materials.
• Implementation of Fast Fourier Transform (FFT) spectrum analysis and a duration counting algorithm for signal processing.
• Optimization focused on rectangular and circular plates made from stainless steel, aluminum alloy, and cupronickel.

Main Results:

• A circular stainless steel sensing plate demonstrated superior natural frequency and sensitivity compared to traditional rectangular designs.
• The integrated signal processing strategy effectively distinguished grains from impurities and corrected counting errors.
• Field experiments confirmed the sensor's strong anti-interference capabilities and high measurement accuracy.

Conclusions:

• The optimized circular stainless steel sensor design significantly improves real-time loss rate monitoring accuracy.
• The developed system provides reliable technical support for minimizing harvesting losses in grain combines.
• This advancement contributes to more efficient agricultural practices.