Analysis of insects activity sound in stored grain based on wavelet packet decompose | 基于小波包分解的2种储粮害虫活动声信号分析

Chinese. 采集不同温度下玉米象（Sitophilus zeamais）成虫在小麦、玉米和米象（Sitophilus oryzae）幼虫在薏米中活动的声信号进行小波包分解，并提取分解节点的能量、能量比、能量熵均值3个特征进行分析。结果表明：相同温度下玉米象在小麦、玉米中活动声信号的节点能量和节点能量比有差异，能得到2类信号差异的频段；2类信号的能量熵均值差别较大，并可发现小麦和玉米不同储粮中玉米象活动声信号能量熵均值的统计规律；不同温度下米象幼虫在薏米中活动声信号节点能量均值、节点能量比均值和能量熵均值皆存在差异；不同温度和不同种类粮食均会影响储粮害虫活动声信号，其活动声在小波包分解特征中差异显著。

English. The activity sounds of Sitophilus zeamais adults in wheat, corn and Sitophilus oryzae larvae in coix seed were respectively sampled in different temperatures, and decomposed by wavelet packet. Three characteristics of decomposition nodes were analyzed. They were nodes energy, nodes energy ratio and energy entropy. The research found that the nodes energy and nodes energy ratio of the activity sound of Sitophilus zeamais adults in wheat and corn were greatly different in the same temperature, and the difference of frequency distribution between these two types of signals was obtained. It was also found that there was much difference between the energy entropy of these two types of signals, and the activity acoustic signal energy entropy mean statistical data of Sitophilus zeamais in wheat and corn were collected. In different temperatures, the nodes energy, nodes energy ratio and energy entropy of the activity sound of Sitophilus oryzae larvae in coix seed were also different. The results show that both the difference of temperature and grain species affect the activity sound characteristics of grain insects, and the activity sounds in wavelet packet decomposed characteristics are significant different.