摘要
农业现代化进程的加快使得农产品品质检测和分级技术显得更加重要。本文介绍了利用介电特性对苹果进行无损检测和分级的原理和方法。通过自制的无损检测原理性样机和智能LCR测量仪以及平板铜电极组成试验所需的测试系统,深入探索了苹果介电特性参数与其内部品质之间的关系,分析了样品的介电特性参数频率特征,确定了检测参数,并利用破坏的方法测得苹果的生化特性与利用非破坏的方法所测得的介电特性进行了对比分析,验证了检测参数选取的合理性。
首次将灰色理论应用于苹果的无损检测分级,介绍了灰色系统的基本概念、基本原理、基本方法及数学描述,分析了灰色系统理论与水果品质无损检测研究的结合点,指出不同苹果的介电特性参数并不能简单地用公式或是模型表达出来,苹果的内部品质本身就是一个灰色系统,适合用灰色系统理论来研究。
论文最后介绍了苹果品质评价的灰色方法,包括灰色评价方法的数学模型、评价标准序列的建立和原始数据的预处理方法,并给出了灰色综合评价的实例。通过比较分析,灰色评价方法计算过程简单方便,可充分利用获得的信息,结果直观可靠,能够反映水果复杂的内部品质特征,是进行综合评价的较好方法,为自动化分选提供了一种理论依据和品质等级评价的算法。
The technology of quality inspection and classification of farm produce is becoming more and more important because of the rapid progress of agriculture's modernization. This paper introduces the technology and method of apple's nondestructive inspection and classification based on dielectric property. We discuss the relationship of apple's dielectric property and its inner quality, analyze sample's frequency character of dielectric property parameters and confirm the inspected parameters with the testing system, which consists of homemade model machine of nondestructive inspection, intelligent LCR measure apparatus and flat copper electrodes. It validates the rationality of inspection parameters' selection by analysis apple's biochemistry property measured destructively and dielectric property measured nondestructively.
Gray system theory is applied to apple's nondestructive inspection and classification. The paper introduces the basic concept, theory, method and mathematics characterization of gray system, analyses the combination point of gray system theory and the research of apple's nondestructive inspection, and points out that dielectric property parameter of different apples cannot expressed by formula and model simply and that apple's inner quality is a gray system, which is fit to research by gray system theory.
At last, the paper introduces the gray method to evaluate apple's quality, which includes the mathematics model of this method,
the establishment of standard evaluation sequence and pretreatment method of original data, and gives examples of gray integrated estimation. It can be concluded by contrast and analysis that gray method is convenient to compute and makes full use of the information. Its result is evident and credible, and can reflect the complicated inner quality of fruit. It is a better way to evaluate fruit's quality and provides a theoretical basis and arithmetic for quality evaluation to classify automatically.
引文
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