机械工程学报 ›› 2024, Vol. 60 ›› Issue (11): 2-19.doi: 10.3901/JME.2024.11.002
• 特邀专栏:复杂装备智能设计理论与方法 • 上一篇 下一篇
娄山河, 冯毅雄, 胡炳涛, 洪兆溪, 谭建荣
收稿日期:
2023-09-02
修回日期:
2024-03-04
出版日期:
2024-06-05
发布日期:
2024-08-02
作者简介:
娄山河,男,1993年出生,博士,博士后。主要研究方向为机械产品概念设计、设计认知。E-mail:loushanhe@zju.edu.cn基金资助:
LOU Shanhe, FENG Yixiong, HU Bingtao, HONG Zhaoxi, TAN Jianrong
Received:
2023-09-02
Revised:
2024-03-04
Online:
2024-06-05
Published:
2024-08-02
摘要: 传统的计算机辅助设计以几何特征为主导、以定量表征为依据、以经验试错为手段,难以有效支持设计信息残缺且设计认知混沌的概念设计阶段。我国正步入“十四五”发展的新时期,认知科学和人工智能的高度融合为复杂装备概念设计带来了全新的机遇与挑战。人机认知协同的概念设计将设计对象和设计主体有机结合,从经验试错推理发展到设计规律外显认知,揭示设计对象递归迭代与设计主体认知演化的内在联系,实现概念设计抽象认知过程的计算机可理解和可计算。阐述侧重设计对象和侧重设计主体的复杂装备概念设计研究现状,分析客户需求语义认知辨识、思维认知规律神经成像、功构映射智能认知推理和概念方案协同认知决策等人机认知协同的概念设计关键技术。在分析现有计算机辅助概念设计局限性的基础上,对新一代基于人机认知协同的计算机辅助概念设计进行了展望。
中图分类号:
娄山河, 冯毅雄, 胡炳涛, 洪兆溪, 谭建荣. 人机认知协同的复杂装备概念设计:挑战、进展和展望[J]. 机械工程学报, 2024, 60(11): 2-19.
LOU Shanhe, FENG Yixiong, HU Bingtao, HONG Zhaoxi, TAN Jianrong. Human-computer Cognitive Collaboration-driven Conceptual Design of Complex Equipment: Research Progress and Challenges[J]. Journal of Mechanical Engineering, 2024, 60(11): 2-19.
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