榨菜自动包装真空度在线检测方法研究  

Research on On-line Detection Method of Vacuum Degree in Automatic Packaging of Mustard Tuber

作　　者：李冬[1] LI Dong(Wuxi Vocational Institute of Arts and Technology,Yixing 214206,China)

机构地区：[1]无锡工艺职业技术学院,江苏宜兴214206

出　　处：《中国调味品》2020年第8期110-113,共4页China Condiment

基　　金：江苏省2018教育科学研究课题(2018-R-64707)。

摘　　要：文章以榨菜自动包装过程中的真空度在线检测为研究对象,采用麦克风阵列采集包装袋的混合振动声音,并采用稀疏型半非负矩阵分解的方法进行声音剥离,得出不含噪音的声音信号,采用声音频谱峰值分析的方法进行真空度辨识,可对榨菜包装袋的真空度做出正确的判断,为包装袋真空度在线检测提供基础理论依据。In this paper,taking the vacuum degree on-line detection in the process of automatic packaging of mustard tuber as the research object,the microphone array is used to collect the mixed vibration sound of packaging bags,and the sparse semi-nonnegative matrix decomposition method is used to strip the sound,and the sound signal without noise is obtained.The peak value analysis method of sound spectra is used to identify the vacuum degree,it can make a correct judgment to the vacuum degree of packaging bags of mustard tuber,which has provided a basic theoretical basis for the on-line detection of vacuum degree of packaging bags.

关 键 词：真空度 在线检测 麦克风阵列 稀疏型半非负矩阵 声音频谱峰值 

分 类 号：TS206.6[轻工技术与工程—食品科学]