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对于外部蛋质量评估的非破坏性技术的进步

Pengpeng Yu¹, Chaoping Shen², Junhui Cheng¹

¹School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.

Sensors (Basel, Switzerland)

|September 27, 2025

概括

非破坏性测试 (NDT) 方法提供精确的,自动评估家禽蛋质量,超过传统技术. 包括深度学习在内的先进的NDT显著改善了微裂纹检测和强度预测,从而提高了食品安全和经济价值.

科学领域:

农业工程农业工程
食品科学食品科学食品科学
材料科学材料科学材料科学

背景情况:

蛋质量对于家禽行业的经济,食品安全和化能力至关重要.
传统的蛋评估方法是主观的,低效的和破坏性的.
非破坏性测试 (NDT) 提供精确,自动化,实时的蛋质量评估.

研究的目的:

系统地审查用于卵质量评估的最先进的NDT技术.
突出深度学习和传感器融合在提高准确性的作用.
讨论挑战,并提出智能蛋检查系统的未来方向.

主要方法:

声学共振是一种声学共振.
超声波成像超声波成像
太赫兹光谱学是一次特拉赫兹光谱学.
机器视觉机器视觉机器视觉
电气属性传感器电气属性传感器
深度学习和传感器融合

主要成果:

无线核试验技术可以精确,自动,实时评估蛋特征.
深度学习和传感器融合在微裂纹检测 (高达99.4%) 和弹强度预测方面实现了高精度.
新出现的挑战包括噪音,信号变化和可扩展性.

结论:

在家禽产业中,无核试验技术正在推进蛋质量控制.
可以解释的人工智能,多式联网数据和边缘计算的整合可以创建智能检查系统.
这一审查是改善家禽供应链中的非破坏性质量控制的参考.

关键词:

裂纹检测裂纹检测裂纹检测蛋质量蛋质量非破坏性测试是指非破坏性测试.强度评价力量评价评价测量厚度的测量方法

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