烟草行业质量数据利用现状及应用需求分析  

Current status of quality data utilization and application requirements in tobacco industry

作　　者：钟宇 董浩[2,3,4] 邢军[2] 徐燕 胡兴锋[5] 赵朋贤 周明珠 禹舰 杨进[2] ZHONG Yu;DONG Hao;XING Jun;XU Yan;HU Xingfeng;ZHAO Pengxian;ZHOU Mingzhu;YU Jian;YANG Jin(Xinjiang Tobacco Quality Test Station,Urumqi 830026,China;China National Tobacco Quality Supervision and Test Center,Zhengzhou 450001,China;Hefei Institutes of Physical Science of CAS,Hefei 230031,China;University of Science and Technology of China,Hefei 230026,China;China Tobacco Chongqing Industrial Co.,Ltd.,Chongqing 400060,China)

机构地区：[1]新疆维吾尔自治区烟草质量监督检测站,乌鲁木齐830026 [2]国家烟草质量监督检验中心,郑州450001 [3]中国科学院合肥物质科学研究院,合肥市230031 [4]中国科学技术大学,合肥市230026 [5]重庆中烟工业有限责任公司,重庆市400060

出　　处：《烟草科技》2023年第2期104-112,共9页Tobacco Science & Technology

基　　金：国家烟草专卖局重大科技项目“烟草行业质量监控大数据构建及应用研究”[110202101080(SJ-04)];重庆中烟工业有限责任公司科研项目“基于大数据的卷烟产品质量分析预测与追溯系统研究”(JL/CQZY G SJ001-01)。

摘　　要：为了解烟草行业质量数据分析利用现状以及应用需求,选取卷烟、烟叶、烟用材料等12类产品对行业重点工商企业质量检测机构开展调研。结果表明:①行业质量数据分布层级清晰,数据量大,覆盖率高,能够满足大数据分析需求;②主要采用传统描述性统计方式完成数据分析,数据分析需求集中在卷烟产品的质量状况、质量趋势和预测、实验室能力水平和资源配置情况等方面;③数据分布分散且孤立,信息化系统多且系统间协同性差是存在的主要问题。在构建行业质量大数据时要重点围绕质量数据库建设、数据标准体系制定、大数据分析技术应用、数据共享与安全以及技术人才培养等方面开展工作。该研究可为充分利用质量数据资源提升卷烟产品质量提供支持。In order to understand the current situation and application requirements of quality data analysis and utilization in the tobacco industry,the quality data of 12 selected categories of products,including cigarette,leaf tobacco and materials,and the quality supervision and test institutions of key industrial and commercial enterprises were investigated.The results showed that:1)The quality data in the industry were of clear distribution by rank and level,large volume and high coverage rate and met the needs of big data analysis.2)Data were mainly analyzed by traditional descriptive statistical methods and the demands of data analysis concentrated on the quality status,trend and prediction of cigarette products and the capacity and resource allocation of laboratories.3)The main problems were scattered and isolated data distribution,and deficient in coordination among the large number of information systems.The configuration of big quality data platform should emphasize on database construction,data standard system formulation,big data analysis technology application,data sharing,data security,and technical personnel training.This study provides a support for making full use of quality data resources to promote the quality of cigarette products.

关 键 词：烟草行业 卷烟 质量大数据 标准体系 数据分析 应用需求 

分 类 号：TS46[农业科学—烟草工业]