工业智能技术与产业推进路径研究  

Research on the industrial intelligent technology and its industry promotion path

作　　者：吴琦莹 王道乾 姚頔 WU Qiying;WANG Daoqian;YAO Di(China Academy of Information and Communications Technology,Beijing 100191,China)

机构地区：[1]中国信息通信研究院,北京100191

出　　处：《江苏科技信息》2025年第6期24-27,55,共5页Jiangsu Science and Technology Information

摘　　要：在工业领域竞争日益激烈的背景下,各国积极探索人工智能等新一代信息技术在不同垂直领域的快速迁移和应用,以提高自身的工业竞争力,为产业智能化升级和创新发展提供有力支撑。文章围绕工业智能技术与产业发展现况,系统梳理并总结了工业智能的基本内涵、演进路径、特征需求、发展趋势和现存问题,发现工业智能发展逐步由以模型为中心趋向于以数据为中心,面临技术主导权缺失、数据质量不高等问题。同时,文章从完善工业智能要素支撑,强化智能应用场景推广,推动工业大模型应用突破3方面提出建议,以期为相关主体提供工业智能新应用参考。Amidst intensifying global industrial competition,nations are actively leveraging next-generation information technologies like artificial intelligence across various vertical sectors to bolster their industrial competitiveness and support the intelligent upgrade and innovative development of industries.This paper systematically reviews and synthesizes the current state of Industrial artificial intelligence technology and industry development.It identifies a shift in Industrial artificial intelligence development from a model-centric to a data-centric approach,highlighting challenges such as the loss of technological leadership and poor data quality.The paper proposes recommendations in three key areas:enhancing the foundational support for industrial intelligence,intensifying the promotion of intelligent application scenarios,and driving breakthroughs in the application of industrial large models.These suggestions aim to provide guidance for new applications of industrial intelligence to relevant stakeholders.

关 键 词：工业智能 数据流通 以数据为中心 

分 类 号：F424[经济管理—产业经济]