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人工智能技术正在全面重塑钢铁工业。本文采用文献调研、国内外钢铁智能化发展案例对比分析与行业实践归纳相结合的研究方法，梳理全球钢铁工业智能化发展态势，剖析美国、日本、欧洲、韩国、印度等国家钢铁工业智能化建设的技术路径、实施成效。以建设钢铁强国为目标，探讨了中国建立人工智能驱动的钢铁产品按需设计技术体系，发展以机理⁃数据融合的垂直大模型落地应用为核心的全域自主生产新形态，并提出探索 AI 赋能、供需全面对接的钢铁平台经济联合体，实现优势产能集约化运营的创新模式。本文研究旨在为钢铁行业智能化转型提供参考。
Abstract：Artificial intelligence technology is comprehensively reshaping the steel industry. This paper adopts a research methodology that combines literature review， comparative analysis of domestic and international cases of steel intelligentization development， and industry practice induction. It reviews the global development trends of steel industry intelligentization and analyzes the technological pathways and implementation outcomes of steel industry intelligentization construction in countries such as the United States， Japan， Europe， South Korea， and India. With the goal of building a strong steel nation， this paper explores the establishment of an AI-driven on-demand design technology system for steel products in China， develops a new paradigm of fully autonomous production centered on the implementation and application of vertical large models integrating mechanism and data， and proposes an innovative model of exploring an AI-empowered steel platform economy consortium with comprehensive supdemand alignment to achieve intensive operation of advantageous production capacity，aiming to provide a reference for the intelligent transformation of the steel industry.
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基本信息:
DOI：10.3969/j.issn.2097-017X.2026.05.001
引用信息:
[1]干勇,谢曼,王慧.钢铁工业智能化发展思考与展望[J],2026,(05):1-6.DOI:10.3969/j.issn.2097-017X.2026.05.001.
基金信息:
中国工程院咨询研究项目（2025-XZ-26）
2026-07-25
2026
2026-09-15