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在新一轮科技革命和产业变革的历史背景下,从大数据加速科学研究范式演进、数字化技术推动产业技术升级、数字化转型加快产业经济发展等不同层面,论述了数字赋能科技革命和产业变革的发展趋势。在此基础上,根据烟草科技的发展现状,分析了中国烟草科技数字化发展的基础优势与面临的挑战,作出了"数字化转型是中国烟草科技创新发展的必然选择"的判断,并在烟草科学大数据、数字化育种、智慧烟叶生产、数字化产品设计、卷烟智能制造、产品精准评价等领域,提出了烟草科技数字化发展的重点方向,从而为中国烟草科技的创新发展提供参考。
Abstract：Under the historical background of a new round of scientific and technological revolution and industrial transformation,the development trends of digital empowerment to drive scientific and technological revolution and industrial transformation were discussed from different aspects,including big data accelerating the evolution of scientific research paradigm,digital technology promoting industrial technology upgrading, digital transformation hastening industrial economic development and so on. On that basis,according to the development status of tobacco science and technology,the basic advantages and challenges of digital development for tobacco science and technology in China were analyzed,and it is concluded that “digital transformation is the inevitable choice for the innovation and development of tobacco science and technology in China”. In the innovation fields of tobacco science big data,digital breeding,intelligent tobacco production,digital design of tobacco products,intelligent cigarette manufacturing,accurate product evaluation,etc.,the key directions for the digital development of tobacco science and technology were put forward,so as to provide references for the innovation and development of tobacco science and technology in China.
[1]韩军徽，杨晶，康琪，等. OECD“走向数字化”项目对我国科技创新领域应对数字转型的启示[J].全球科技经济瞭望，2020,35(9):34-38.HAN Junhui,YANG Jing,KANG Qi,et al. The implications of OECDs'going digital project for Chinas'science,technology and innovation in responding to digital transformation[J]. Global Science,Technology and Economy Outlook,2020,35(9):34-38.
[2]阳镇，陈劲.数智化时代下企业社会责任的创新与治理[J].上海财经大学学报，2020,22(6):33-51.YANG Zhen,CHEN Jin. Innovation and governance of corporate social responsibility in the digital and intelligent era[J]. Journal of Shanghai University of Finance and Economics,2020,22(6):33-51.
[3]王东.大数据时代科学研究新范式的哲学反思[J].科学与社会，2016,6(3):116-127.WANG Dong. Philosophical reflection on the new paradigm of scientific research in the era of big data[J]. Science and Society,2016,6(3):116-127.
[4] CODATA中国全国委员会.大数据时代的科研活动[M].北京：科学出版社，2014.CODATA China National Committee. Scientific discovery in big data era[M]. Beijing:Science Press,2014.
[5] Hey T,Tansley S,Tolle K. The fourth paradigm:Data-intensive scientific discovery[M]. Washington:Microsoft Research,2009.
[6] Graham-Rowe D,Goldston D,Doctorow C,et al. Big data:Science in the petabyte era[J]. Nature,2008,455(7209):8-9.
[7] Greve M,Svenning J C. Dealing with data:Preserve old collections[J]. Science,2011,331(6024):1515.
[8]徐波，王瑞丹，陈祖刚，等.科学数据中心综合运行评价体系赋权研究[J].中国科技资源导刊，2021,53(4):96-103.XU Bo, WANG Ruidan, CHEN Zugang, et al.Research on empowerment of scientific data center comprehensive operation evaluation system[J]. China Science&Technology Resources Review,2021,53(4):96-103.
[9]科技部网站.科技部财政部关于发布国家科技资源共享服务平台优化调整名单的通知：国科发基[2019]194号[EB/OL].(2019-06-05)[2021-11-11]. http://www.gov.cn/xinwen/2019-06/11/content_5399105.htm.Website of Ministry of Science and Technology of Peoples'Republic of China. Optimized and adjusted list of National Science and Technology Resource Sharing Service Platforms:National Science and Technology Development Foundation[2019] No.194[EB/OL].(2019-06-05)[2021-11-11]. http://www.gov.cn/xinwen/2019-06/11/content_5399105.htm.
[10]中国青年报.“中国天眼”已发现300余颗脉冲星[EB/OL].(2020-03-30)[2021-11-11]. https://baijiahao.baidu.com/s?id=1695640317699899661&wfr=pider&for=pc.China Youth Daily. More than 300 pulsars have been discovered by FAST[EB/OL].(2020-03-30)[2021-11-11]. https://baijiahao.baidu.com/s?id=1695640317699899661&wfr=spider&for=pc.
[11]李春成.科技革命和产业变革大循环与科技创新趋势[J].创新科技，2021,21(4):1-8.LI Chuncheng. Trends on the great cycle of scientific&technological and industrial revolution and scientific&technological innovation[J]. Innovation Science and Technology,2021,21(4):1-8.
[12] Wei X,Qiu J,Yong K C,et al. A quantitative genomics map of rice provides genetic insights and guides breeding[J]. Nature Genetics,2021,53(2):243-253.
[13] Jumper J,Evans R,Pritzel A,et al. Highly accurate protein structure prediction with AlphaFold[J]. Nature,2021,596(7873):583-589.
[14] Tunyasuvunakool K,Adler J,Wu Z,et al. Highly accurate protein structure prediction for the human proteome[J]. Nature,2021,596(7873):590-596.
[15]赵春江.智慧农业发展现状及战略目标研究[J].智慧农业，2019,1(1):1-7.ZHAO Chunjiang. State-of-the-art and recommended developmental strategic objectives of smart agriculture[J]. Smart Agriculture,2019,1(1):1-7.
[16]工业互联网产业联盟.工业互联网术语和定义（版本1.0）[R/OL].(2019-02)[2021-11-11]. http://www.caict.ac.cn/kxyj/qwfb/bps/201902/P020190227351446481977.pdf.Alliance of Industrial Internet. Terms and definitions of industrial internet(Version 1)[R/OL].(2019-02)[2021-11-11]. http://www.caict.ac.cn/kxyj/qwfb/bps/201902/P020190227351446481977.pdf.
[17]本刊编辑部.周济院士：智能制造是第四次工业革命的核心技术[J].智能制造，2021(3):25-26.Editorial office of Intelligent Manufacturing.Academician Zhou Ji:Intelligent manufacturing is the core technology of the Fourth Industrial Revolution[J].Intelligent Manufacturing,2021(3):25-26.
[18]张晓东.火箭弹数字化设计技术研究[D].太原：中北大学，2018.ZHANG Xiaodong. Research on digital design of rocket[D]. Taiyuan:North university of China,2018.
[19]航空工业科技质量部.以创新开启航空制造技术未来[N].中国航空报，2018-10-11(001).Science, Technology and Quality Department of Aviation Industry. Open the future of aviation manufacturing technology with innovation[N]. China Aviation News,2018-10-11(001).
[20] Organization for Economic Co-operation and Development. The Digitalisation of science,technology and innovation:Key developments and policies[EB/OL].(2020-02-11)[2021-11-11]. https://www.oecdilibrary.org/sites/b9e4a2c0-en/index.html?itemId=/contco ntent/content/publication/b9e4a2c0-en.
[21]中国信息通信研究院. G20国家数字经济发展研究报告（2018年）[R/OL].(2018-12)[2021-11-11]. http://www.caict.ac.cn/kxyj/qwfb/bps/201812/P020181219311367546218.pdf.CAICT. Digital economy development study report of G20(2018)[R/OL].(2018-12)[2021-11-11]. http://www.caict.ac.cn/kxyj/qwfb/bps/201812/P020181219311367546218.pdf.
[22]中国信息通信研究院.中国数字经济发展白皮书[R/OL].(2020-04)[2021-11-11]. http://www.caict.ac.cn/kxyj/qwfb/bps/202104/P020210424737615413306.pdf.CAICT. White paper on China's digital economy development[R/OL].(2020-04)[2021-11-11]. http://www.caict.ac.cn/kxyj/qwfb/bps/202104/P020210424737615413306.pdf.
[23]谢剑平.中国烟草科学与技术（1982—2020）[M].北京：中国轻工业出版社，2021.XIE Jianping. China tobacco science and technology(1982—2020)[M]. Beijing:China Light Industry Press,2021.
[24]李海舰，赵丽.数据成为生产要素：特征、机制与价值形态演进[J].上海经济研究，2021(8):48-59.LI Haijian,ZHAO Li. Data becomes a factor of production:Characteristics, mechanisms, and the evolution of value form[J]. Shanghai Journal of Economics,2021(8):48-59.
[25]中国电子技术标准化研究院.智能制造发展指数报告（2020）[R/OL].(2020-01-20)[2021-11-11]. https://www.miit.gov.cn/jgsj/zbys/znzz/art/2021/art_64fb428e80124f73a2d7740979fd9ddb.html.CESI. Report on intelligent manufacturing development indexes(2020)[R/OL].(2020-01-20)[2021-11-11].https://www.miit.gov.cn/jgsj/zbys/znzz/art/2021/art_64fb428e80124f73a2d7740979fd9ddb.html.
基本信息:
DOI：10.16135/j.issn1002-0861.2021.0640
中图分类号:TS41
引用信息:
[1]李中皓,毛健,曹培健,等.数字化转型：中国烟草科技创新发展的必然选择[J].烟草科技,2022,55(01):1-8.DOI:10.16135/j.issn1002-0861.2021.0640.
基金信息:
国家烟草专卖局烟草科研大数据重大专项项目“烟草科技知识图谱大数据构建及应用研究”[110201901027(SJ-06)]和“烟叶质量大数据构建及应用研究”[110201901025(SJ-04)]