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人工智能驱动下的新型工业化路径探索

New Industrialisation Path Driven by Artificial Intelligence
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摘要 在全球气候危机日益严峻的背景下,传统工业化模式带来的环境污染和资源枯竭问题日益严重,探索绿色、低碳、可持续的新型工业化道路变得尤为紧迫。人工智能为新型工业化提供了前所未有的机遇,通过深度融合物联网、大数据、云计算等前沿技术,在生产过程中实现了精准控制和优化,成为绿色生产的智慧引擎。提出了构建人工智能与绿色产业深度融合的创新生态系统、推动制造业智能化全链条升级、深化跨学科人才培养等路径,以保障新型工业化的顺利推进。 Against the background of the increasingly severe global climate crisis,the environmental pollution and resource depletion problems brought by the traditional industrialisation model are getting more and more serious,and exploring the green,low-carbon and sustainable new industrialisation path has become particularly urgent.Artificial intelligence provides unprecedented opportunities for new industrialisation,and through the deep integration of Internet of Things,big data,cloud computing and other cutting-edge technologies,it achieves precise control and optimisation in the production process,and becomes a smart engine for green production.The article proposes paths to build an innovation ecosystem for the deep integration of AI and green industry,promote the whole chain upgrade of manufacturing intelligence,and deepen interdisciplinary talent cultivation to ensure the smooth advancement of new industrialisation.
作者 刘金姗 Liu Jinshan(School of Economics,Gansu University of Political Science and Law,Lanzhou Gansu 730000,China)
出处 《现代工业经济和信息化》 2025年第3期22-24,共3页 Modern Industrial Economy and Informationization
基金 甘肃省高校教师创新基金项目(2024-A101) 甘肃政法大学大学生创新创业训练项目“人工智能对企业突破式创新的影响研究”(X202411406028)。
关键词 人工智能 新型工业化 可持续发展 artificial intelligence new industrialisation sustainable development
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  • 1顾国达,马文景.人工智能综合发展指数的构建及应用[J].数量经济技术经济研究,2021,38(1):117-134. 被引量:55
  • 2黄先海,虞柳明,袁逸铭.工业机器人与企业创新——基于人力资本视角[J].科学学研究,2023,41(2):356-368. 被引量:50
  • 3陆岷峰,陈捷.民营企业融资困境:供给结构、导向错位与校正重点[J].福建论坛(人文社会科学版),2020(7):68-77. 被引量:38
  • 4李国杰.大数据研究的科学价值[J].中国计算机学会通讯,2012,8(9):8-15.
  • 5赵国栋,易欢欢,糜万军,鄂维南.大数据时代的历史机遇[M].北京:清华大学出版社,2013:前言.
  • 6Gantz J, Reinsel D. Extracting value from chaos [J]. Proceedings oflDCiView, 2011: 1-12.
  • 7GTM Research. The soft grid 2013-2020. Big data & utility analytics for smart grid-research excerpt [R/OL]. GTM, 2013. http-//www.giiresearch.com/reportJ gm257044-soft-grid-big-data-utility-analytics-smart-grid.h tml.
  • 8EPRI. Big data challenges for the grid: EPRI survey results and analysis Data analytics and applications demonstration newsletter[R/OL]. 2013. http://www. smartgridnews.com/artmardpublish/Business_Analytics/Bi g-Data-challenges-for-the-grid-EPRI-survey-results-and-a nalvsis.
  • 9EPRI. The whys, whats, and hows of managing data as an asset[R]. USA: EPRI, 2014.
  • 10IBM. Managing big data for smart grids and smart meters[R/OL]. IBM Software White Paper. http://www. smartgridnews.com/artman/publish/Business_Strategy/ Managing-big-data-for-smart-grids-and-smart-meters-524 8.html.

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