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Supporting connotative development of iron and steel industry with digital infrastructure |
SHI Can-tao, WU Xiu-ting, ZHU Tao |
China Metallurgical Industry Planning and Research Institute, Beijing 100013, China |
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Abstract In order to study the ecological utilization of data in the iron and steel industry, the new development situation of China's iron and steel industry, as well as the new capacity requirements for iron and steel enterprises in the new development stage were introduced. The existing problems and development trend of iron and steel industry were described, then the characteristics of the data resources of the iron and steel industry and the basis of digital enabling, data elements and land, labor, capital, technology and other traditional factors of production continue to cross fusion were analyzed, and the key areas of data development in the iron and steel industry from the three aspects of enhancing the core competitiveness of enterprises, optimizing the allocation of industry resources and supporting the government's industrial governance were summarized. It is proposed to build a new credit system of the industry through the "digital infrastructure" based on blockchain to support the connotative development of iron and steel industry.
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Received: 06 May 2021
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[1] 习近平.在经济社会领域专家座谈会上的讲话[J].前进,2020(9):4.(XI Jin-ping. Speech at the symposium of experts in economic and social fields[J]. Advance, 2020(9):4.) [2] 黄奇帆.新基建正全面重塑工业时代形成的生产关系,构建全新的智慧社会[R]. 2020.(HUANG Qi-fan. New infrastructure is fully reshaping the production relations formed in the industrial age and building a new smart society[R].2020.) [3] 李新创.对我国钢材消费快速增长的冷思考[N]. 中国冶金报,2021-01-26(001).(LI Xin-chuang. Calm thoughts on the rapid growth of my country's steel consumption[N]. China Metallurgical News, 2021-01-26(001).) [4] 李新创.新冠疫情对中国钢铁业的影响分析[J].柳钢科技,2020(1):9.(LI Xin-chuang. Analysis of the impact of the new crown epidemic on China's iron and steel industry[J]. Liugang Technology, 2020(1):9.) [5] 李新创.新时代钢铁工业高质量发展之路[J].钢铁,2019,54(1):1.(LI Xin-chuang. The road of high-quality development of steel industry in the new era[J]. Iron and Steel, 2019,54(1):1.) [6] 安筱鹏.两化融合管理体系体现了新工业革命的发展理念和方向[J]. 中国信息化,2015(12):7.(AN Xiao-peng. The integrated management system of industrialization and industrialization reflects the development concept and direction of the new industrial revolution[J]. China Information Technology, 2015(12):7.) [7] “四化”协同,数字经济发展新阶段[J].信息化建设,2020(7):39.("Four modernizations" synergy, a new stage of digital economy development[J]. Information Construction, 2020(7):39.) [8] 施灿涛,吴秀婷.智能制造引领转型升级 钢铁强国之路任重道远[J].中国钢铁业,2018(2):13.(SHI Can-tao,WU Xiu-ting. Intelligent manufacturing leads transformation and upgrading, and the road to a strong steel country has a long way to go[J]. China Steel Industry, 2018(2):13.) [9] 高祥明.继往开来、砥砺奋进,为可持续发展的未来努力奋斗——在中国钢铁工业协会六届一次会员大会上的工作报告[J]. 冶金管理,2020(2):4.(GAO Xiang-ming. Carry on the past and open the future, forge ahead, and strive for a sustainable future—A work report at the sixth meeting of the China Iron and Steel Industry Association[J]. Metallurgical Management, 2020(2):4.) [10] 付宇涵.我国制造业两化融合发展路径[J].企业管理,2020(9):104.(FU Yu-han. The development path of the integration of industrialization and industrialization[J]. Business Management, 2020(9):104.) [11] 张毅.基于区块链技术的新型社会信用体系[J].人民论坛·学术前沿,2020(5):6.(ZHANG Yi. A new social credit system based on blockchain technology[J]. Frontiers, 2020(5):6.) [12] 刘玠.人工智能推动冶金工业变革[J].钢铁,2020,55(6):1.(LIU Jie. Artificial intelligence drives the transformation of the metallurgical industry[J]. Iron and Steel, 2020,55(6):1.) [13] 严国莉,王保林.基于商业生态系统的融合型商业模式创新研究——以欧冶云商为例[J].科技管理研究,2018,38(7):215.(YAN Guo-li, WANG Bao-lin. Research on innovation of convergent business model based on business ecosystem—Taking ouyeel cloud business as an example[J]. Science and Technology Management Research, 2018,38(7):215.) [14] ZHOU Ji, LI Pei-gen, ZHOU Yan-hong, et al. Towards a new generation of intelligent manufacturing[J]. Engineering, 2018,4(1):28.) [15] 刘文仲.中国钢铁工业智能制造现状及思考[J].中国冶金,2020,30(6):1.(LIU Wen-zhong. Current status and thinking of intelligent manufacturing in China's iron and steel industry[J]. China Metallurgy, 2020,30(6):1.) |
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