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以无规声源作为粮食中害虫爬行发声的理论模型,分别对20只黑茵虫(Alphitobius diaperinus Panzer)成虫在小麦中的爬行声和20只赤拟谷盗(Tribolium castaneum Herbst)成虫在玉米中的爬行声进行了数据采集．在 Matlab下,对爬行声信号进行了再现．依据噪声特征,综合利用滤波器消噪和小波消噪提取出了明显的声信号．对信号的功率谱特征进行了分析,黑菌虫成虫在小麦中的爬行声频谱和赤拟谷盗成虫在玉米中的爬行声均是离散谱, 前者频率最高1 600 Hz,主频在205 Hz．后者主频在350 Hz,最高频率800 Hz．其结果表明,用爬行声功率谱特征可以区分粮食中害虫的种群．
A random sound source was used as a theoretical model for pest crawling in food. The creeping sound of 20 Alphitobius diaperinus Panzer adults in wheat and 20 adults of Tribolium castaneum Herbst were detected in maize Crawling sound data acquisition. Under Matlab, the crawling sound signal is reproduced. Based on the noise characteristics, the obvious acoustic signal was extracted by using the filter denoising and wavelet denoising. The power spectral characteristics of the signal were analyzed. The frequencies of the crawling sound of black adults in wheat and the crawling sound of red troutlelings in maize were all discrete spectra. The former had the highest frequency of 1 600 Hz and the dominant frequency of 205 Hz . The latter clocked at 350 Hz, the maximum frequency of 800 Hz. The results show that the pest population in food can be distinguished by the characteristics of crawling sound power spectrum.