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

This article aims to improve the real-time monitoring accuracy of the loss rate for grain combine harvesters by optimizing the sensor-sensitive plate structure, thereby addressing the problem of low detection efficiency in existing equipment. Based on Kirchhoff's thin plate theory, COMSOL 6.0 software was utilized to conduct modal analysis and single-grain impact tests on rectangular and circular sensing plates fabricated from three materials: stainless steel, aluminum alloy, and cupronickel. The circular stainless steel sensing plate was identified as the optimal structure, whose natural frequency and sensitivity significantly outperform those of traditional rectangular plates. By integrating a signal processing strategy based on FFT (Fast Fourier Transform) spectrum analysis (band-pass filtering: 1.0~3.0 kHz, voltage threshold: 3.5 V) and a high-level duration counting algorithm, the system effectively distinguishes between grains and impurities and resolves the counting errors caused by multi-grain impacts and secondary rebounds. Field experiments demonstrate that the developed sensor exhibits strong anti-interference ability and high measurement accuracy, providing reliable technical support for reducing harvesting losses.

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Publication Details

Journal
Sensors
Published
2025-11-04
DOI
https://doi.org/10.3390/s25216740
Primary Topic
Agricultural Engineering and Mechanization
Type
article
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article

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

Guangyue Zhang, Chengqian Jin, Jin Wang, Man Chen et al.
Sensors
Agricultural Engineering and Mechanization
article

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

Guangyue Zhang, Chengqian Jin, Jin Wang, Man Chen, Tae-Cheon Yang
article en

Abstract

This article aims to improve the real-time monitoring accuracy of the loss rate for grain combine harvesters by optimizing the sensor-sensitive plate structure, thereby addressing the problem of low detection efficiency in existing equipment. Based on Kirchhoff's thin plate theory, COMSOL 6.0 software was utilized to conduct modal analysis and single-grain impact tests on rectangular and circular sensing plates fabricated from three materials: stainless steel, aluminum alloy, and cupronickel. The circular stainless steel sensing plate was identified as the optimal structure, whose natural frequency and sensitivity significantly outperform those of traditional rectangular plates. By integrating a signal processing strategy based on FFT (Fast Fourier Transform) spectrum analysis (band-pass filtering: 1.0~3.0 kHz, voltage threshold: 3.5 V) and a high-level duration counting algorithm, the system effectively distinguishes between grains and impurities and resolves the counting errors caused by multi-grain impacts and secondary rebounds. Field experiments demonstrate that the developed sensor exhibits strong anti-interference ability and high measurement accuracy, providing reliable technical support for reducing harvesting losses.

SensorsVol. 25(21)
Shandong University of Technology (CN), Ministry of Agriculture and Rural Affairs (CN), Nanjing Institute of Agricultural Mechanization (CN)
Openalex Percentile: Top 66%
Agricultural Engineering and Mechanization
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Research on a Combined Harvester Grain Loss Detection Sensor Based on Vibration Characteristic Optimization — Guangyue Zhang, Chengqian Jin, et al. · Sensors (2025) | TGRS Research Map | TGRS