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A portable device for rapid nondestructive detection of fresh meat quality

机译：用于快速无损检测鲜肉质量的便携式设备

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摘要

Quality attributes of fresh meat influence nutritional value and consumers' purchasing power, hi order to meet the demand of inspection department for portable device, a rapid and nondestructive detection device for fresh meat quality based on ARM (Advanced RISC Machines) processor and VIS/NIR technology was designed. Working principal, hardware composition, software system and functional test were introduced. Hardware system consisted of ARM processing unit, light source unit, detection probe unit, spectral data acquisition unit, LCD (Liquid Crystal Display) touch screen display unit, power unit and the cooling unit. Linux operating system and quality parameters acquisition processing application were designed. This system has realized collecting spectral signal, storing, displaying and processing as integration with the weight of 3.5 kg. 40 pieces of beef were used in experiment to validate the stability and reliability. The results indicated that prediction model developed using PLSR method using SNV as pre-processing method had good performance, with the correlation coefficient of 0.90 and root mean square error of 1.56 for validation set for L~*, 0.95 and 1.74 for a~*, 0.94 and 0.59 for b~*, 0.88 and 0.13 for pH, 0.79 and 12.46 for tenderness, 0.89 and 0.91 for water content, respectively. The experimental result shows that this device can be a useful tool for detecting quality of meat.
机译：新鲜肉的品质属性会影响营养价值和消费者的购买力，为了满足便携式设备检验部门的需求，一种基于ARM（先进RISC机器）处理器和VIS / NIR的快速无损新鲜肉品质检测装置设计技术。介绍了工作原理，硬件组成，软件系统和功能测试。硬件系统由ARM处理单元，光源单元，检测探针单元，光谱数据采集单元，LCD（液晶显示器）触摸屏显示单元，电源单元和冷却单元组成。设计了Linux操作系统和质量参数获取处理应用程序。该系统以3.5 kg的重量实现了光谱信号的采集，存储，显示和处理一体化。实验中使用了40块牛肉，以验证其稳定性和可靠性。结果表明，采用SNV作为预处理方法的PLSR方法开发的预测模型具有良好的性能，相关系数L〜*为0.90，均方根误差为1.56，a〜*的均方根误差为0.95和1.74， b〜*为0.94和0.59，pH为0.88和0.13，嫩度为0.79和12.46，水分为0.89和0.91。实验结果表明，该设备可以作为检测肉质的有用工具。

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