A Feeding Quantity Monitoring System for a Combine Harvester: Design and Experiment

Tao Jiang, Zhuohuai Guan, Haitong Li, Senlin Mu, Chongyou Wu, Min Zhang, Gang Wang and Xu Chen
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Tao Jiang: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Zhuohuai Guan: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Haitong Li: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Senlin Mu: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Chongyou Wu: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Min Zhang: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Gang Wang: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Xu Chen: Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

Agriculture, 2022, vol. 12, issue 2, 1-15

Abstract: Due to the commitment to the target of green mechanized production and precision agriculture, the operating parameters of the main functional components of a combine harvester need to be adjusted according to the feeding quantity. Therefore, feeding quantity monitoring is one of the key technologies of intelligent control for a combine harvester. In order to obtain the accurate information of feeding quantity in the harvesting operation process in real time, a monitoring system was set up to obtain the accurate information of feeding quantity in real time. The torque signal corresponding to different feeding quantity was obtained through bench calibration experiments. The signal was decomposed, noise reduced, and reconstructed through the analysis of the frequency range of the noise based on the wavelet transform. A fitting relationship between the torque and the feeding quantity was obtained. Field validation experiment results showed good consistency of the measured data and the actual quantity. This paper provides a theoretical basis and technical reference for subsequent research on intelligent control of combine harvesters.

Keywords: green mechanized production; crop harvest; signal acquisition; wavelet analysis; support vector machine (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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