中国科学院院刊2024,Vol.39Issue(7) :1183-1190.DOI:10.16418/j.issn.1000-3045.20240407004

数智化赋能传统产业转型升级

Empowering traditional industries with digital intelligence for transformation and upgrading

臧冀原 季桓永 黄庆学
中国科学院院刊2024,Vol.39Issue(7) :1183-1190.DOI:10.16418/j.issn.1000-3045.20240407004

数智化赋能传统产业转型升级

Empowering traditional industries with digital intelligence for transformation and upgrading

臧冀原 1季桓永 2黄庆学3
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作者信息

  • 1. 中国工程院 战略咨询中心 北京 100088
  • 2. 北京信息科技大学 经济管理学院 北京 100192
  • 3. 太原理工大学 机械与运载工程学院 太原 030024
  • 折叠

摘要

传统产业是经济高质量发展的基本支撑和基本动力,其数智化过程是促进新、旧动能转换和全球价值链跃迁的重要抓手.文章从数字化、网络化、智能化角度解构数智化丰富内涵,在剖析数智化驱动我国传统产业转型升级的机制及路径基础上,分析了当前传统产业数智化进程所面临的障碍.文章最后从(1)继续实施大规模技术升级工程,切实降低数智化改造成本;(2)完善赋能平台建设,优化服务评价体系;(3)打通数智化改造堵点,关键核心领域形成突破;(4)建立面向数智化前沿的复合型人才培养机制4个方面提出了数智化赋能传统产业转型升级的对策建议.

Abstract

Traditional industries are the basic support and driving force for the high-quality development of the economy.Digital intelligence is an important lever for traditional industries to achieve the transformation of old and new kinetic energy and the leapfrogging of the global value chain.This study firstly deconstructs the rich connotations of digital intelligence from the perspectives of digitalization,networkization,and intelligentization.Secondly,it analyzes the transformation mechanism and various pathways through which digital intelligence impacts traditional industries.Thirdly,it analyzes the barriers faced by traditional industries in the process of adopting digital intelligence technologies.Finally,this study puts forward four policy suggestions,including(1)continuing to implement large-scale technological upgrading projects and effectively reducing the cost of digitalization,networkization,and intelligentization;(2)improving the empowerment platform construction and optimizing the service evaluation systems;(3)breaking through the bottleneck of digital intelligence in key core areas;and(4)establishing a comprehensive talent training mechanism for the forefront of digital intelligence.

关键词

数智化/数字化/网络化/智能化/传统产业/转型升级

Key words

digital intelligence/digitalization/networkization/intelligentization/traditional industries/transformation and upgrading

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基金项目

国家自然科学基金项目(72102020)

中国工程院品牌咨询项目(2023-PP-01)

大规模个性化定制系统与技术全国重点实验室开放课题(H&C-MPC-2023-01-03)

出版年

2024
中国科学院院刊
中国科学院

中国科学院院刊

CSTPCDCSSCICSCDCHSSCD北大核心
影响因子:1.618
ISSN:1000-3045
参考文献量18
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