摘要
为定量评价卷烟包灰能力,采用所建立的包灰外观评价方法对250张卷烟燃烧灰柱图片进行专家打分,获得卷烟包灰值,并基于特征工程的统计分析方法研究卷烟包灰值与灰色值、裂口率、缩灰率、炭线宽度、炭线整齐度等测定指标之间的相互关系。结果表明:(1)灰色值、裂口率和缩灰率对卷烟包灰影响显著,而炭线宽度、炭线整齐度和燃烧速率对卷烟包灰影响不显著。(2)优势主导分析表明,裂口率、灰色值和缩灰率对卷烟包灰贡献权重分别为0.729、0.241和0.030。(3)由裂口率、灰色值和缩灰率为自变量的回归方程可较好地评价卷烟包灰能力,方程决定系数达0.725。
In order to quantitatively evaluate the ash integrity of a burning cigarette during smoking,a visual evaluation method was established.The pictures of 250 ash columns of burning cigarettes were panel tested with the established method to obtain the score of cigarette ash integrity.The correlations of cigarette ash integrity score with the tested indexes,including grey value,ash crack rate,ash shrink rate,burn line width,burn line uniformity,etc.,were studied on the basis of the statistical analysis method of a feature engineering approach.The results showed that:1)Grey value,ash crack rate,and ash shrink rate significantly affected cigarette ash integrity,while the influences of burn line width,burn line uniformity,and combustion rate were insignificant.2)Dominance analysis indicated that the contribution weights of ash crack rate,grey value,and ash shrink rate to cigarette ash integrity were 0.729,0.241,and 0.030,respectively.3)The regression equation with ash crack rate,grey value,and ash shrink rate as the independent variables could evaluate the ash integrity of a burning cigarette satisfactorily,and the coefficient of determination of the equation was 0.725.
作者
郭东锋
王孝峰
张劲
周顺
张亚平
丁乃红
张晓宇
郑丰
严志景
王健
GUO Dongfeng;WANG Xiaofeng;ZHANG Jin;ZHOU Shun;ZHANG Yaping;DING Naihong;ZHANG Xiaoyu;ZHENG Feng;YAN Zhijing;WANG Jian(Key Laboratory of Combustion&Pyrolysis Study of CNTC,China Tobacco Anhui Industrial Co.,Ltd.,Hefei 230088,China;Key Laboratory for Tobacco Chemistry of Anhui Province,China Tobacco Anhui Industrial Co.,Ltd.,Hefei 230088,China)
出处
《烟草科技》
CAS
CSCD
北大核心
2023年第4期73-81,共9页
Tobacco Science & Technology
基金
国家烟草专卖局重点实验室项目“卷烟包灰的燃烧热解基础及应用技术研究”(110201903002)
安徽中烟工业有限公司科技项目“卷烟燃烧匹配评价方法构建及应用研究”(2020148)。
关键词
卷烟包灰
评价方法
灰色值
裂口率
特征工程
Cigarette ash integrity
Visual evaluation
Grey value
Ash crack rate
Feature engineering