灰色关联度在烟叶叶片结构稳定性综合评价中的应用
2021-08-05李敏郑振兴李福元
李敏 郑振兴 李福元



摘 要:为了解不同企业在烟叶加工叶片结构数据的综合稳定性,采用灰色关联度分析法对河北中烟工业公司的8个烟叶加工企业的叶片结构进行综合评价。 结果表明,8个企业叶片结构的综合稳定性从大到小依次为b>d>h>g>a>f>e>c,说明不同企业叶片结构的综合稳定性存在一定的差异。通过对叶片结构数据的分析及稳定性排序,实现了对不同企业加工质量的智能判断。该方法在质量数据综合评价中具有可用性,为烟叶加工质量数据分析提供了一种有效工具,而且根据综合评价结果能够更清晰地指出叶片结构指标中需要改进的部分,从而进一步提升质量。
关键词:灰色关联度;叶片结构;稳定性;综合评价;应用
中图分类号:S572;TS44 文献标识码:A DOI 编码:10.3969/j.issn.1006-6500.2021.06.007
Application of Grey Correlation Degree in Comprehensive Evaluation of Structural Stability of Tobacco Leaves
LI Min, ZHENG Zhenxing, LI Fuyuan
(China Tobacco Hebei Industry Limited Company,Shijiazhuang,Hebei 050051,China)
Abstract:In order to understand the comprehensive stability of leaf structure indexes of different threshing and redrying enterprises, the leaf structure of 8 threshing and redrying enterprises in China tobacco company was comprehensively evaluated by grey correlation analysis. The results showed that the comprehensive stability of leaf structure in 8 redrying enterprises was b>d>h>g>a>f>e>c, which indicated that there were some differences in the comprehensive stability of leaf structure in different enterprises. By analyzing the data of leaf structure and sorting the stability, the intelligent judgment of processing quality of different redrying enterprises was realized. The method was available in the comprehensive evaluation of quality data, and provided an effective tool for the analysis of quality data of threshing and redrying. Moreover, according to the comprehensive evaluation results, the points that need to be improved in the blade structure index could be more clearly pointed out, so as to further improve the quality.
Key words: grey correlation degree; leaf structure; stability;comprehensive evaluation; application
烟叶打叶复烤是连接原烟和卷烟生产的桥梁,打后片烟质量的稳定是制丝质量稳定的基础,而片烟的叶片结构直接影响着打叶复烤后的片烟质量,故叶片结构的稳定是片烟质量稳定中的重要一环。目前,工业公司的原料一般分散在不同的复烤企业加工,为了保证卷烟质量的稳定一致,就需要对各个打叶复烤企业的片烟质量进行综合評价,因此,对叶片结构的稳定性进行综合评价意义重大。何结望等[1]运用灰色统计的方法对同一个打叶复烤企业的叶片结构11项指标的稳定性进行了评价,而对多个打叶复烤企业的叶片结构稳定性的综合评价较少。黄长庚等[2]应用灰色关联分析法了解影响打叶复烤产品质量的主要因素,并探讨不同试验的最佳方案。王满等[3-4]对我国10个……
