Research on Grain Temperature Detection Based on Rational Sound-Source Signal

Hongyi Ge, Bo Feng, Yuying Jiang (), Yuan Zhang, Chengxin Cai, Chunyan Guo, Heng Wang, Ziyu Liu and Xinxin Liu
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Hongyi Ge: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Bo Feng: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Yuying Jiang: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Yuan Zhang: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Chengxin Cai: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Chunyan Guo: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Heng Wang: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Ziyu Liu: Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
Xinxin Liu: National Grain and Oil Information Center, Beijing 100834, China

Agriculture, 2025, vol. 15, issue 10, 1-17

Abstract: The selection of sound-source signals is a pivotal aspect of temperature measurement in stored grain using the acoustic method, as their characteristics directly influence the propagation effects of sound waves in grain media and the accuracy of temperature measurement. To identify a sound-source signal with optimal propagation performance, this study focused on analyzing the signal attenuation levels of typical sound sources, including simulated pulse signals and linear swept signals, during propagation. The results demonstrated that the linear swept signal exhibited superior propagation characteristics in grain media, with significantly lower signal attenuation compared to other sound-source signals. Specifically, a linear swept signal with a duration of 0.5 s and a frequency range of 200 Hz to 1000 Hz showed the best propagation performance. Finally, based on this rational signal, the temperature of grain samples was measured, yielding a mean absolute error of 1.62 °C.

Keywords: grain storage; temperature detection; porous medium; acoustic attenuation (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: 2025
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