人工智能驱动设计创新的发展趋势、研究热点及范式构建

胡子崟; 郑刚强; 朱轶涛; 张祎哲; 谢珍贞

doi:10.19798/j.cnki.2096-6946.2026.02.011

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工业工程设计 ›› 2026, Vol. 8 ›› Issue (2) : 94-116. DOI: 10.19798/j.cnki.2096-6946.2026.02.011

设计创新与应用

人工智能驱动设计创新的发展趋势、研究热点及范式构建

胡子崟, 郑刚强, 朱轶涛, 张祎哲, 谢珍贞

作者信息 +

Development Trends, Research Hotspots and Paradigm Construction of Design Innovation Driven by Artificial Intelligence

HU Ziyin, ZHENG Gangqiang, ZHU Yitao, ZHANG Yizhe, XIE Zhenzhen

Author information +

文章历史 +

摘要

系统分析中外人工智能驱动设计创新的发展脉络、热点主题与演进趋势,明晰我国在该领域的研究定位与发展特色,为人工智能驱动设计创新的路径提供参考。运用可视化工具对CNKI和Web of Science数据库中的相关文献进行系统分析,从年度发文量、机构合作网络、作者共现关系、关键词共现与聚类、突现词分析等多个维度,对中外人工智能驱动设计创新研究进行深度对比与趋势挖掘,揭示其发展阶段、研究热点与演进路径。国内人工智能驱动设计创新的发展脉络分为初始探索（2000—2015年）、高速增长（2016—2020年）与稳定发展（2021—2025年）三个阶段,研究热点聚焦“人工智能驱动的设计综合应用、知识驱动的智能设计、智能机器人设计与控制、计算机视觉赋能的设计及智能设计方法与系统构建”。国外则经历初始萌芽（2000—2010年）、稳定上升（2011—2018年）与爆发增长（2019—2025年）三个阶段,研究热点聚焦“生成式AI与人文导向的设计创新、AI驱动的设计系统与决策机制、AI技术赋能工程设计与能源优化、用户视角的AI设计接受与素养及AI算法与工程系统的深度融合”。国内研究总体呈现“政策-技术”双轮驱动、与国家战略高度协同的特征,国外研究则呈现“技术突破-场景扩展-伦理治理”的演进逻辑。中外设计研究差异主要体现在“技术哲学、价值认知、文化适配、学术背景”四个维度,未来应从“文化设计-伦理设计-共生设计”三重维度构建人机共生的人工智能设计范式。

Abstract

The work aims to systematically analyze the development sequence, hot themes and evolution trends of AI-driven design innovation at home and abroad, clarify China's research positioning and development characteristics in this field, and provide references for the path of AI-driven design innovation. Relevant literature in the CNKI and Web of Science databases is systematically analyzed with visualization tools. From multiple dimensions such as the annual number of published papers, institutional cooperation networks, author co-occurrence relationships, keyword co-occurrence and clustering, and emergent word analysis, In-depth comparison and trend mining of research on artificial intelligence-driven design innovation at home and abroad is conducted to reveal its development stages, research hotspots and evolution paths. The development trajectory of domestic artificial intelligence-driven design innovation can be divided into three stages: initial exploration (2000-2015), rapid growth (2016-2020), and stable development (2021-2025). The research hotspots focus on "comprehensive application of artificial intelligence-driven design, knowledge-driven intelligent design, intelligent robot design and control, computer vision-enabled design, and intelligent design methods and system construction". Abroad, it has gone through three stages: initial germination (2000-2010), stable growth (2011-2018), and explosive growth (2019-2025). The research hotspots focus on "generative AI and humanity-oriented design innovation, AI-driven design systems and decision-making mechanisms, AI technology empowering engineering design and energy optimization, user perspective acceptance and literacy of AI design, and the deep integration of AI algorithms and engineering systems". Domestic research generally shows the characteristics of being driven by both "policy and technology" and highly coordinated with national strategies, while foreign research presents an evolutionary logic of "technological breakthroughs - scenario expansion - ethical governance". The differences between Chinese and foreign design research mainly lie in four dimensions: "technical philosophy, value cognition, cultural adaptation, and academic background". In the future, an artificial intelligence design paradigm for human-machine symbiosis should be constructed from the three-dimensional perspectives of "cultural design - ethical design - symbiotic design".

导出引用

胡子崟, 郑刚强, 朱轶涛, 张祎哲, 谢珍贞. 人工智能驱动设计创新的发展趋势、研究热点及范式构建[J]. 工业工程设计. 2026, 8(2): 94-116 https://doi.org/10.19798/j.cnki.2096-6946.2026.02.011

HU Ziyin, ZHENG Gangqiang, ZHU Yitao, ZHANG Yizhe, XIE Zhenzhen. Development Trends, Research Hotspots and Paradigm Construction of Design Innovation Driven by Artificial Intelligence[J]. Industrial & Engineering Design. 2026, 8(2): 94-116 https://doi.org/10.19798/j.cnki.2096-6946.2026.02.011

中图分类号： J0

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