基于模糊综合分析方法的谷物溯源颗粒优化设计

    Optimal design of grain tracer based on fuzzy comprehensive analysis method

    • 摘要: 身份标识技术是食品溯源系统中的关键技术之一,有效的身份标识技术应具有唯一性、识别鲁棒性、耐磨损性的特点。针对粮食生产中谷物生产多源头混合配送和分销而难以追溯到源产地的问题,该文提出采用溯源颗粒标识谷物身份信息的方法,以生产工艺参数压力及配方为影响因素,设计了影响基于糖类型和基于纤维素类型2种溯源颗粒的表面粗糙度的正交试验;并应用模糊综合评判方法分析2种溯源颗粒最优工艺参数组合。该研究探索了具有较光滑表面的追溯颗粒生产过程中生产参数的优化策略,为进一步研究谷物溯源颗粒的信息标识及提高生产工艺提供技术支持。

       

      Abstract: Information identification is one of key technologies in food safety traceability. The effective information identification technology should include the characteristics of unique, recognition robustness and wear resistance. In order to overcome the problem of grain hard tracing to origin because of multi-source mixing in supply chain, the grain tracer method was used to identity grain information, and a two-factor factorial design was employed to analyze the influence of different formation pressures and constituent formulations on surface roughness. The results were analyzed by fuzzy comprehensive evaluation method to determine the optimum combinations process parameters. The results can provide a foundation for the subsequent tracer information identification and improvement of the tracer produce.

       

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