Eggshell Crack Detection based on Acoustic Resonance Frequency Analysis

基于声学共振频率分析的蛋壳检测法-Columbus高通量蛋品品质检测仪

B. De Ketelaere, P. Coucke, J. De Baerdemaeker

前言：

简述：该文献是我司代理的Columbus无损蛋品分析仪的研发原理，在此基础上，Octinion开发出了一代机和二代机，详细资料参加我司网站产品介绍：高通量蛋品品质检测仪。

The human, visual inspection is the main quality control procedure in egg grading. Eggshells are inspected for cracks and dirtiness on the shell and for internal egg abnormalities, such as blood and meatspots.

人工视觉检测是蛋品分级中主要的一种质量控制方法。要对蛋壳的裂缝和污垢进行检测，并对蛋内部变异人血和肉斑进行检测。

With the development of high-speed electronic grading machines (>10 000 eggs/h per lane), this human candling operation has become a significant bottleneck. Recent research into the automation of the detection of eggshell cracks is focused both on optical and mechanical detection principles.

随着高度电子分级机器的研发（每条线检测>10 000 鸡蛋/h ），人工视觉检测成为显著的瓶颈。较近鸡蛋裂缝检测自动化的研究专注于光学和机械检测原理。

In this research, eggshell crack detection is based on the analysis of the acoustically measured frequency response of an egg excited with a light mechanical impact on different locations on the eggshell equator.

在此研究中，在蛋壳赤道附近不同位置以轻度机械力冲击鸡蛋，并对激发的声学测量频率反应加以分析。

The optimal configuration of the egg support, the location and design of the impactor and the response sensor are explored by means of an experimental modal analysis study of an intact egg.

通过对完好鸡蛋的实验模态分析方法对蛋支撑、位置、冲击器设计以及响应传感器进行较优化配置。

An egg with an intact eggshell responds by a characteristic frequency pattern that is highly repetitive when impacting on different places around the equator; the response signals of cracked eggs are heterogeneous and not repetitive. This method allows a crack detection level of 90% and a false reject level of less than 0.5%.

完好鸡蛋在鸡蛋赤道不同位置冲击时，会出现特征性频率模式，高度重复；带裂缝鸡蛋的响应信号多种多样，不可重复。此方法裂缝检测正确率较过90%，错误拒绝率低于0.5%。