Detection and analysis of the stored grain insect creeping sound

2017 3rd International Conference on Applied Materials and Manufacturing Technology

Geng, Senlin^1 ; Zhang, Xiuqin^2 ; Zhao, Wei^1

College of Mathematics and Physics, Weinan Normal University, Weinan

714000, China^1

College of Chemistry and Material, Weinan Normal University, Weinan

714000, China^2

关键词: Acoustic source models;    Characteristics analysis;    De-noised signals;    Main frequency;    Sound detection;    Sound signal;    Stored grains;    Theory model;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/242/1/012093/pdf
DOI  :  10.1088/1757-899X/242/1/012093

来源: IOP

【 摘 要 】

With the random acoustic source model as the theory model of the stored grain insects creeping, the sounds, of 20 Alphitobius diaperinus Panzer in wheat and 20 Tribolium castaneum Herbst adults in corn, are detected, respectively. By using Matlab, the original sound signals are reproduced and the de-noised signals are obtained. The power spectrums characteristics analysis are made. It is shown that the random acoustic source model is effective for the stored grain insect creeping sound detection, and their power spectrums are all discrete, where the highest frequency is 1600 Hz, the main frequency 205 Hz in the former, and the highest frequency is 800 Hz, the main frequency 350 Hz the latter, which may be used to distinguish different types insects in grain.