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Development and parameter optimization of automatic separation and identification equipment for grain tracing systems based on grain tracers with QR codes

机译:基于QR码的晶粒示踪器的晶粒追踪系统自动分离和识别设备的开发与参数优化

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摘要

It is difficult to trace grains to their original harvest because doing so requires unique and accurate grain labels, which are mixed when handled in massive quantities and derived from different origins. Food-grade grain tracers have been developed as an identification technology for tracing from original harvest to final destination. To implement online production operation for food-grade grain tracers by QR code scanning and information recording, automatic separation and identification equipment was designed in three parts: vibration screen separation, transmission and recognition assembly and host computer software for traceability. Improvements in the recognition rate, wear rate and screening rate of the equipment in the grain tracing system was achieved based on a Box Behnken design (BBD) using response surface methodology (RSM). Four factors that affect the working parameters (i.e., vibration frequency, screen angle, tracer density and conveyor speed) were selected, and their value ranges were confirmed. The following optimal working parameters were obtained: a vibration frequency of 40.13 Hz, a screen angle of 5.00 degrees, a tracer density of 5 tracers per 1.5 kg wheat and a conveyor speed of 0.15 m/s. Test results show that the automatic separation and identification equipment is practical for grain tracing systems. The experimental values of the recognition rate and screening rate under optimized conditions were similar to the predicted values, which confirmed the validity of the models. The advantage of this equipment is that it represents an online approach for separating and identifying tracers that would not require production interruptions or manual recognition. Therefore, this automatic separation and identification equipment holds a certain significance for the design and development of grain tracing systems, possibly providing a basis for the implementation and further research of other food traceability systems.
机译:由于这样做,很难追踪其原始收获的谷物,需要独特和准确的谷物标签,这些谷物标签在大量的批量处理并从不同的起源中衍生出来。食品级纹理示踪剂已成为作为追溯到最终目的地的识别技术的识别技术。为了通过QR码扫描和信息记录为食品级纹理示踪器实施在线生产操作,自动分离和识别设备设计为三部分:振动筛分分离,传输和识别组件以及用于可追溯性的主机软件。基于使用响应面方法(RSM)的盒Behnken设计(BBD),实现了谷物描绘系统中设备的识别率,磨损率和筛选率的改进。选择影响工作参数的四个因素(即,振动频率,屏幕角度,示踪剂密度和传送速度),并确认它们的值范围。获得以下最佳工作参数:振动频率为40.13Hz,屏幕角为5.00度,示踪密度为每1.5千米小麦的5个示踪剂,输送速度为0.15米/秒。测试结果表明,自动分离和识别设备对于谷物追踪系统是实用的。优化条件下识别率和筛选率的实验值与预测值类似,确认了模型的有效性。该设备的优点在于它代表了用于分离和识别不需要生产中断或手动识别的示踪剂的在线方法。因此,这种自动分离和识别设备对晶粒追踪系统的设计和开发具有一定意义,可能为其他食物可追溯性系统提供和进一步研究的基础。

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  • 作者单位

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

    Nanjing Agr Univ Jiangsu Prov Engn Lab Modern Facil Agr Technol &

    Coll Engn Nanjing 210031 Jiangsu Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业科学;
  • 关键词

    Grain tracing system; Grain tracers; QR code; Automatic separation and identification; Optimization;

    机译:谷物追踪系统;谷物示踪剂;QR码;自动分离和识别;优化;

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