本书以严谨的学术视角和系统化的逻辑，全面梳理工业智能的发展全貌与战略意义。首先阐明工业智能的内涵与六大特征，回溯其发展历程，突出其对质量、效率与动力变革的深远作用；继而从国际比较出发，剖析主要国家的战略布局与发展趋势，为我国提供经验借鉴；随后构建工业智能技术架构与理论体系，系统解析关键要素与安全防护机制；并通过研发、制造、运营、服务等全流程场景和多行业典型案例，展示其赋能价值与实践成效；最后提出面向我国的战略路径，强调政策、产业、学科与金融的协同联动，为推动工业智能化、培育新质生产力、实现工业高水平自立自强提供了系统性参考。
蒋 艳 国家工业信息安全发展研究中心主任、党委副书记，正高级工程师，中国电子质量管理协会理事长，工业和信息化部电子科学技术委员会常委、工控安全组组长。致力于工业信息安全、关键软件、制造业数字化转型等领域政策研究、标准研制、产业咨询、技术创新及行业管理工作，主要研究方向包括国家工业和信息化的战略布局、产业规划、政策标准制定等，牵头组织编制和推动实施《“十四五”软件和信息技术服务业发展规划》《工业领域数据安全能力提升实施方案（2024—2026年）》《工业控制系统网络安全防护指南》等多项政策文件，主持完成多项省部级重大专项或研究课题，公开发表(出版)学术论文和著作30余篇(部)。
第一章 工业智能的内涵、特征、发展基础与意义 ······················.1
1.1 工业智能的基本概念················································.2
1.2 工业智能发展的已有技术基础 ····································.4
1.3 工业智能发展的已有产业基础 ···································.37
1.4 工业智能的发展历程···············································.47
1.5 工业智能创新发展的重要意义 ···································.53
1.6 本章小结 ·····························································.59
第二章 国内外工业智能战略布局 ·········································.61
2.1 工业智能全球发展背景 ············································.61
2.2 我国工业智能战略布局 ············································.62
2.3 美国工业智能发展现状 ············································.77
2.4 德国工业智能发展现状 ············································.81
2.5 日本工业智能发展现状 ············································.85
2.6 其他国家工业智能发展现状 ······································.87
2.7 本章小结 ·····························································.91
第三章 工业智能创新发展和典型技术形态······························.93
3.1 工业智能创新发展的驱动力 ······································.93
3.2 工业智能发展架构··················································103
3.3 工业大脑 ····························································.106
3.4 工业智能体 ·························································.110
3.5 工业模型与知识 ···················································.124
3.6 工业高质量数据集 ················································.141
3.7 本章小结 ····························································.157
第四章 工业智能的应用 ···················································.158
4.1 研发设计阶段的工业智能········································.158
4.2 生产制造阶段的工业智能········································.173
4.3 运营管理阶段的工业智能········································.186
4.4 产品服务阶段的工业智能········································.196
4.5 本章小结 ····························································.206
第五章 典型行业实践案例 ················································.207
5.1 钢铁冶炼行业 ······················································.207
5.2 家电制造行业 ······················································.212
5.3 石油化工行业 ······················································.225
5.4 汽车制造行业 ······················································.233
5.5 电子制造行业 ······················································.240
5.6 本章小结 ····························································.245
第六章 我国工业智能发展的关键路径 ··································.246
6.1 政府部门：以系统性思维全方位促进工业智能发展 ········.247
6.2 供给侧企业：构建“服务—技术—生态”全链条能力体系 ··.249
6.3 工业企业：立足场景深挖需求，多维协同筑牢智能根基 ··.251
6.4 高等院校：学科交叉、产教融合与转化机制三维联动 ·····.253
6.5 金融机构：聚焦关键领域提供针对性金融支持 ···············255
6.6 本章小结 ·····························································257
参考文献 ·········································································259
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