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卷烟主流烟气及其物理化学检测数据的挖掘与信息抽提 被引量:5

Data Digging and Information Extraction Based on Mainstream Smoke,Physical and Chemical Data of Cigarettes
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摘要 应用因子分析与典型相关分析方法对卷烟生产企业批量样品实际检测的18个检测指标进行了数据挖掘与信息抽提。因子分析表明:可用12个独立的公共因子来描述卷烟质量,其中主流烟气中的总粒相物、烟碱、焦油与物理指标稀释率、闭式吸阻相关性很强,且可用第一主因子来体现其对卷烟质量的影响;第二主因子主要体现了总氮的信息,前两个主因子占总信息量的66%。典型相关分析表明:卷烟主流烟气与物理化学信息间存在显著的整体相关,其中反映主流烟气信息的U典型变量主要来自总粒相物、焦油、烟碱、水分、水分含率及抽吸口数的贡献;反映物理、化学指标信息的V典型变量主要来自稀释率、闭式吸阻、单支重及总糖、氯等化学指标的贡献,其中稀释率的作用最大。而CO、圆周与硬度对卷烟主流烟气与理化性质两类信息间的整体相关性的影响不大。有关结果对卷烟的降焦减害、建立卷烟主流烟气信息与理化信息间定量关系提供了重要信息和理论依据。 Factor analysis and canonical correlation analysis (CCA) based on 18 test indices of 595 batches cigarettes manufactured in some Tobacco corporations are carried out. Factor analysis shows that the quality of cigarettes could be characterized by 12 independent principal factors, where TPM, tar and nicotine in mainstream smoke, physical indices ventilation rate and close resistance are closely correlative and their influence on quality of cigarettes is represented in the first principal factor. The second principal factor mainly represents the effect of total nitrogen. The first two factors represent 66 % of total information. CCA indicates that there are strong integrated correlation between mainstream smoke and the physical and chemical properties, where canonical variable U representing information of mainstream smoke is mainly contributed by TPM, tar, nicotine, vapor, vapor content and puff times; canonical variable V representing physical and chemical information of cigarettes is mainly contributed by ventilation rate, close resistance, cigarettes weight and total sugar, total organic chlorine etc, where ventilation rate plays an important role. The contribution of CO of mainstream smoke, circumference and rigidity of cigarettes to the integration relativity between the two kinds of information is very small. The results provide an important information and reference for reducing harm of cigarettes and developing quantitative relationship between mainstream smoke information and physical and chemical information of cigarettes.
出处 《华东理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2007年第1期79-83,共5页 Journal of East China University of Science and Technology
关键词 信息挖掘 因子分析 典型相关分析 卷烟主流烟气 information mining and extraction factor analysis canonical correlative analysis mainstream smoke of cigarettes
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