机械工程学报 ›› 2025, Vol. 61 ›› Issue (15): 82-104.doi: 10.3901/JME.2025.15.082
• 综述 • 上一篇
李骏1,2, 郭喜锋3, 赵武1,2, 张凯1,2, 于淼1,2, 郭鑫1,2
收稿日期:
2024-10-30
修回日期:
2025-04-24
发布日期:
2025-09-28
作者简介:
李骏,男,1994年出生,博士,助理研究员。主要研究方向为产品创新设计、智能设计。E-mail:lijun25@scu.edu.cn;郭鑫(通信作者),男,1989年出生,博士,研究员,博士研究生导师。主要研究方向为韧性设计、人工智能技术辅助产品设计。E-mail:guoxin@scu.edu.cn
基金资助:
LI Jun1,2, GUO Xifeng3, ZHAO Wu1,2, ZHANG Kai1,2, YU Miao1,2, GUO Xin1,2
Received:
2024-10-30
Revised:
2025-04-24
Published:
2025-09-28
摘要: 工业5.0强调人的核心地位,以人为本的理念在产品的设计、制造、运维、服务等各阶段都越来越受到关注。概念设计是产品生命周期的最早期阶段,其核心是由设计主体的创造性活动生成能满足人的个性化需求的概念方案,极大程度上决定了后续环节的创新水平和实施质量。以人为本的理念给产品设计提出了新的要求,传统以设计者为主体的概念设计模式需要向设计者、用户、机器共融的多设计主体模式转变。因此,将设计者的推理决策能力与用户的深度参与、机器的计算生成能力紧密融合,提出一种以人为本视角下,用户-设计者-机器多设计主体共融的产品概念设计模型与框架,旨在更好地为工业5.0下的人本智造服务。首先从影响因素、表现形式、主要特征三方面阐述以人为本的概念设计的独特内涵;然后融合概念设计中人的交互机制、人机协同机制以及设计过程运行机制,提出以人为本下多设计主体共融的概念设计“H(Human)-M(Machine)-D(Design)”模型,从用户和设计者、智能机器、设计过程的维度分析了其基本逻辑和运行原理;最后,建立以人为本的概念设计的总体实施框架,阐述了设计思维认知理解、设计主体协同交互、个性化知识服务、概念设计推理决策四类关键技术,为实现多设计主体共融的产品概念设计中的人-人协同、人-物协同、人-机协同提供支持。以某电梯的以人为本概念设计过程为案例对所提出模型和框架进行了应用验证。
中图分类号:
李骏, 郭喜锋, 赵武, 张凯, 于淼, 郭鑫. 以人为本下多设计主体共融的产品设计模型与实施框架[J]. 机械工程学报, 2025, 61(15): 82-104.
LI Jun, GUO Xifeng, ZHAO Wu, ZHANG Kai, YU Miao, GUO Xin. A Human-centric Product Design Model and Implementation Framework for Multi-design Subjects Integration[J]. Journal of Mechanical Engineering, 2025, 61(15): 82-104.
[1] 庄存波,刘检华,张雷.工业5.0的内涵、体系架构和使能技术[J].机械工程学报,2022,58(18):75-87.ZHUANG Cunbo, LIU Jianhua, ZHANG Lei.Connotation, architecture and enabling technology of industrial 5.0[J]. Journal of Mechanical Engineering,2022,58(18):75-87. [2] HUANG S,WANG B,LI X,et al. Industry 5.0 and Society 5.0-Comparison, complementation and co-evolution[J]. Journal of Manufacturing Systems,2022,64:424-428. [3] LENG J,SHA W,WANG B,et al. Industry 5.0:Prospect and retrospect[J]. Journal of Manufacturing Systems,2022,65:279-295. [4] 马南峰,姚锡凡,陈飞翔,等.面向工业5.0的人本智造[J].机械工程学报,2022,58(18):88-102.MA Nanfeng, YAO Xifan, CHEN Feixiang, et al.Human-centric smart manufacturing for Industry 5.0[J].Journal of Mechanical Engineering,2022,58(18):88-102. [5] 姚锡凡,马南峰,张存吉,等.以人为本的智能制造:演进与展望[J].机械工程学报,2022,58(18):2-15.YAO Xifan, MA Nanfeng, ZHANG Cunji, et al.Human-centric smart manufacturing:Evolution and outlook[J]. Journal of Mechanical Engineering,2022,58(18):2-15. [6] WANG B, ZHENG P, YIN Y, et al. Toward human-centric smart manufacturing:A human-cyberphysical systems (HCPS) perspective[J]. Journal of Manufacturing Systems,2022,63:471-490. [7] 王柏村,黄思翰,易兵,等.面向智能制造的人因工程研究与发展[J].机械工程学报,2020,56(16):240-253.WANG Baicun, HUANG Sihan, YI Bing, et al.State-of-art of human factors/ergonomics in intelligent manufacturing[J]. Journal of Mechanical Engineering,2020,56(16):240-253. [8] 谭建荣,冯毅雄.专题序言[J].包装工程,2022,43(12):13-14.TAN Jianrong,FENG Yixiong. Thematic preamble[J].Packaging Engineering,2022,43(12):13-14. [9] 谢友柏.论设计科学[J].上海交通大学学报,2019,53(7):873-880.XIE Youbai. Design science[J]. Journal of Shanghai Jiao Tong University,2019,53(7):873-880. [10] BALL L J, CHRISTENSEN B T. Advancing an understanding of design cognition and design metacognition:Progress and prospects[J]. Design Studies,2019,65:35-59. [11] HAY L,CASH P,MCKILLIGAN S. The future of design cognition analysis[J]. Design Science,2020,6:e20. [12] SHERGADWALA M N,PANCHAL J H,BILIONIS I.How does past performance of competitors influence designers'cognition,behaviors,and outcomes?[J]. Journal of Mechanical Design,2022,144(10):101401. [13] PAHL G,BEITZ W. Engineering design:A systematic approach[M]. New York:Springer Science&Business Media,2013. [14] LI M,LOU S,GAO Y,et al. A cerebellar operant conditioning-inspired constraint satisfaction approach for product design concept generation[J]. International Journal of Production Research,2023,61(17):5822-5841. [15] 杨雯丹,曹国忠.专利数据辅助的新产品概念设计方案生成方法[J].计算机集成制造系统,2024,30(3):992-1010.YANG Wendan,CAO Guozhong. Patent data-assisted concept generation for new product development[J].Computer Integrated Manufacturing Systems, 2024,30(3):992-1010. [16] LUO J. Designing the future of the fourth industrial revolution[J]. Journal of Engineering Design,2023,34(10):779-785. [17] 周子洪,周志斌,张于扬,等.人工智能赋能数字创意设计:进展与趋势[J].计算机集成制造系统,2020,26(10):2603-2614.ZHOU Zihong,ZHOU Zhibin,ZHANG Yuyang,et al.Artificial intelligence empowered digital creative design:Today and its future[J]. Computer Integrated Manufacturing Systems,2020,26(10):2603-2614. [18] JIN J,YANG M,HU H,et al. Empowering design innovation using AI-generated content[J]. Journal of Engineering Design,2025,36(1):1-18. [19] CHEN L,SUN L,HAN J. A comparison study of human and machine-generated creativity[J]. Journal of Computing and Information Science in Engineering,2023,23(5):051012. [20] 袁萍,熊艳,李彦,等.基于EEGα波活动探究信息激励距离对产品设计思维的影响[J].机械工程学报,2017,53(15):40-48.YUAN Ping,XIONG Yan,LI Yan,et al. An exploration into the influence of stimulation distance of stimulus information on design thinking based on EEG alpha activity[J]. Journal of Mechanical Engineering,2017,53(15):40-48. [21] HU W,REID T. The effects of designers'contextual experience on the ideation process and design outcomes[J].Journal of Mechanical Design,2018,140(10):101101. [22] 娄山河,冯毅雄,胡炳涛,等.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, et al.Human-computer cognitive collaboration-driven conceptual design of complex equipment:Research progress and challenges[J]. Journal of Mechanical Engineering,2024,60(11):2-19. [23] 景立挺,陈盈臣,谢静,等.考虑用户权重不一致性和复杂交互影响的产品可持续设计需求评估研究[J].机械工程学报,2023,59(3):218-231.JING Liting,CHEN Yingchen,XIE Jing,et al. Research on the evaluation of product sustainable design demands considering the inconsistency of users'weights and complex interaction[J]. Journal of Mechanical Engineering,2023,59(3):218-231. [24] 冯毅雄,娄山河,王绪鹏,等.面向性能的定制产品感性意象评价方法研究[J].机械工程学报,2020,56(9):181-190.FENG Yixiong,LOU Shanhe,WANG Xupeng,et al.Research on performance-oriented perceptual image evaluation method for customized products[J]. Journal of Mechanical Engineering,2020,56(9):181-190. [25] TONG Y,LIANG Y,SPASIC I,et al. A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modeling[J]. Journal of Computing and Information Science in Engineering,2022,22(6):61002. [26] BU L,CHEN C,NG K K H,et al. A user-centric design approach for smart product-service systems using virtual reality:A case study[J]. Journal of Cleaner Production,2021,280:124413. [27] 梁野,裘乐淼,刘晓健,等.基于设计情境与脑机反馈融合的产品设计知识需求感知技术[J].机械工程学报,2020,56(7):151-163.LIANG Ye,QIU Lemiao,LIU Xiaojian,et al. Technology for product design knowledge need awareness based on design context and brain-computer interface[J]. Journal of Mechanical Engineering,2020,56(7):151-163. [28] 娄山河,冯毅雄,郑浩,等.模拟人脑工作机制的机械产品概念设计行为原理启发求解方法[J].机械工程学报,2023,59(24):344-358.LOU Shanhe,FENG Yixiong,ZHENG Hao,et al.Brain-like behavior effect-inspiring and principle structure-combining method for mechanical product conceptual design[J]. Journal of Mechanical Engineering,2023,59(24):344-358. [29] 郭鑫,王海涵,王杰,等.韧性产品交互式概念设计与知识推理方法研究[J].机械工程学报,2023,59(11):74-83.GUO Xin,WANG Haihan,WANG Jie,et al. Research on interactive conceptual design and knowledge reasoning method of resilient products[J]. Journal of Mechanical Engineering,2023,59(11):74-83. [30] HUANG Z,GUO X,LIU Y,et al. A smart conflict resolution model using multi-layer knowledge graph for conceptual design[J]. Advanced Engineering Informatics,2023,55:101887. [31] YANG M,HU H,GAO L,et al. Engineering equipment conceptual design methodology:Using function units configuration and schemes iterative solution[J]. Journal of Engineering Design,2023:1-37. [32] 郑浩,冯毅雄,高一聪,等.基于性能演化的复杂产品概念设计求解过程研究[J].机械工程学报,2018,54(9):214-223.ZHENG Hao,FENG Yixiong,GAO Yicong,et al. The solving process of conceptual design for complex product based on performance evolution[J]. Journal of Mechanical Engineering,2018,54(9):214-223. [33] WU Y,ZHOU L,ZHENG P,et al. A digital twin-based multidisciplinary collaborative design approach for complex engineering product development[J]. Advanced Engineering Informatics,2022,52:101635. [34] LI J,ZHAO W,ZHANG K,et al. A space layout design model for concept generation using function-based spatial planning and structure dynamic deployment[J]. Advanced Engineering Informatics,2023,56:101944. [35] GUO X,YANG M,LIU Y,et al. Design for product resilience:Concept,characteristics and generalisation[J].Journal of Engineering Design,2023,34(5-6):363-382. [36] REGENWETTER L,NOBARI A H,AHMED F. Deep generative models in engineering design:A review[J].Journal of Mechanical Design,2022,144(7). [37] CHEN L,ZUO H,CAI Z,et al. Toward controllable generative design:A conceptual design generation approach leveraging the function-behavior-structure ontology and large language models[J]. Journal of Mechanical Design,2024,146(12):121401. [38] ZHU Q,ZHANG X,LUO J. Biologically Inspired design concept generation using generative pre-trained transformers[J]. Journal of Mechanical Design,2023,145(4):041409. [39] CHEN L, XIAO S, CHEN Y, et al. An artificial intelligence approach for interpreting creative combinational designs[J]. Journal of Engineering Design,2024,11:1-28. [40] 王愫,刘月林,孙利.面向AI生成的产品概念设计方案智能评估方法[J].计算机集成制造系统,2025,31(1):20-34.WANG Su,LIU Yuelin,SUN Li. Intelligent evaluation method of product concept design scheme for AI generation[J]. Computer Integrated Manufacturing Systems,2025,31(1):20-34. [41] HAN J,CHILDS P R N,LUO J. Applications of artificial intelligence and cognitive science in design[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing,2024,38:e6. [42] CHEN L,CAI Z,JIANG Z,et al. AskNatureNet:A divergent thinking tool based on bio-inspired design knowledge[J]. Advanced Engineering Informatics,2024,62:102593. [43] CHEN L,JING Q,TSANG Y,et al. DesignFusion:Integrating generative models for conceptual design enrichment[J]. Journal of Mechanical Design,2024,146:1-61. [44] 李雄,苏建宁,张志鹏.基于深度学习的产品概念草图生成设计研究[J].机械工程学报,2023,59(11):16-30.LI Xiong, SU Jianning, ZHANG Zhipeng. Product conceptual sketch generation design using deep learning[J]. Journal of Mechanical Engineering,2023,59(11):16-30. [45] CHEN L,JING Q,ZHOU Y,et al. Element-conditioned GAN for graphic layout generation[J]. Neurocomputing,2024,591:127730. [46] KUMARI B,SRAVANI K,MANASA B L,et al.Ergonomics intervention in an innovative product development through user-centred product design approach-a case study[J]. International Journal of Human Factors and Ergonomics,2024,11:107-128. [47] SUHAIMI S N,WALTERS A,WARD J. Design thinking mindset:A user-centred approach toward innovation in the Welsh creative industries[J]. International Journal of Design Creativity and Innovation,2024,12(4):238-257. [48] LI J,ZHANG X,WANG K,et al. A personalized requirement identifying model for design improvement based on user profiling[J]. Artificial Intelligence for Engineering Design,Analysis and Manufacturing,2020,34(1):55-67. [49] SHEN Y,ZHOU J,PANTELOUS A A,et al. A voice of the customer real-time strategy:An integrated quality function deployment approach[J]. Computers&Industrial Engineering,2022,169:108233. [50] 罗仕鉴,郭和睿,沈诚仪,等.智能产品用户体验设计评价研究现状与进展[J].计算机集成制造系统,2024,30(6):1919-1935.LUO Shijian,GUO Herui,SHEN Chengyi,et al. Status and progress of research on user experience design evaluation for intelligent products[J]. Computer Integrated Manufacturing System,2024,30(6):1919-1935. [51] 任丽,林丽,阳明庆,等.脑视觉认知机制下意象-产品归类的集群用户偏好推理[J].机械工程学报,2023,59(15):282-292.REN Li,LIN Li,YANG Mingqing,et al. Cluster user preference inference for image-product categorization under brain visual cognitive mechanism[J]. Journal of Mechanical Engineering,2023,59(15):282-292. [52] HAN Y, MOGHADDAM M. Analysis of sentiment expressions for user-centered design[J]. Expert Systems with Applications,2021,171:114604. [53] 丁满,丁婷婷,宋美佳,等.基于内隐测量和BP神经网络的产品色彩情感化设计[J].计算机集成制造系统,2023,29(2):616-627.DING Man,DING Tingting,SONG Meijia,et al. Product color emotional design method based on implicit measurement and BP neural network[J]. Computer Integrated Manufacturing System,2023,29(2):616-627. [54] GUO F,HU M,DUFFY V G,et al. Kansei evaluation for group of users:A data-driven approach using dominance-based rough sets[J]. Advanced Engineering Informatics,2021,47:101241. [55] HU H,LIU Y,LU W F,et al. A quantitative aesthetic measurement method for product appearance design[J].Advanced Engineering Informatics,2022,53. [56] 陈永康,江雨豪,何人可,等.基于文献计量学的情感化设计研究进展、热点与趋势分析[J].包装工程,2022,43(6):32-40.CHEN Yongkang,JIANG Yuhao,HE Renke,et al.Emotional design trends and research progress:A scientometric analysis-based study[J]. Packaging Engineering,2022,43(6):32-40. [57] 李彦,刘红围,李梦蝶,等.设计思维研究综述[J].机械工程学报,2017,53(15):1-20.LI Yan,LIU Hongwei,LI Mengdie,et al. Review on research of design thinking[J]. Journal of Mechanical Engineering,2017,53(15):1-20. [58] 洪兆溪,冯毅雄,娄山河,等.复杂产品不确定性智能设计研究综述与展望[J].机械工程学报,2023,59(19):213-236.HONG Zhaoxi,FENG Yixiong,LOU Shanhe,et al.Overview and prospects of uncertain intelligent design for complex products[J]. Journal of Mechanical Engineering,2023,59(19):213-236. [59] RAHMAN M H,XIE C,SHA Z. Predicting sequential design decisions using the function-behavior-structure design process model and recurrent neural networks[J].Journal of Mechanical Design,2021,143(8):081706. [60] LI M, LOU S, ZHENG H, et al. A cognitive analysis-based key concepts derivation approach for product design[J]. Expert Systems with Applications,2024,236:121289. [61] 姜少飞,冯迪,卢纯福,等.从产品到产品服务系统的演化设计方法[J].计算机集成制造系统,2018,24(3):731-740.JIANG Shaofei, FENG Di, LU Chunfu, et al.Evolutionary design method from product to product service systems[J]. Computer Integrated Manufacturing System,2018,24(3):731-740. [62] 张在房,樊蓓蓓.产品服务系统共生设计理论与方法[J].计算机集成制造系统,2021,27(2):328-336.ZHANG Zaifang,FAN Beibei. Theory and method for product service system symbiosis design[J]. Computer Integrated Manufacturing System,2021,27(2):328-336. [63] ZHENG P,WANG Z,CHEN C,et al. A survey of smart product-service systems:Key aspects,challenges and future perspectives[J]. Advanced Engineering Informatics,2019,42:100973. [64] ZHANG X,LI J,ERES H,et al. Prioritizing and aggregating interacting requirements for product-service system development[J]. Expert Systems with Applications,2021,185:115636. [65] CHOU J. A TRIZ-based product-service design approach for developing innovative products[J]. Computers&Industrial Engineering,2021,161:107608. [66] 从靖晨,项忠霞,李心雨,等.基于知识图谱的智能产品服务系统交互设计研究[J].机械工程学报,2023,59(11):94-105.CONG Jingchen,XIANG Zhongxia,LI Xinyu,et al. A knowledge graph-based interaction design method for smart product-service system development[J]. Journal of Mechanical Engineering,2023,59(11):94-105. [67] HUI Q,LI Y,TAO Y,et al. Triple-Helix structured model based on problem-knowledge-solution co-evolution for innovative product design process[J]. Chinese Journal of Mechanical Engineering,2020,33(1):94. [68] PLATTNER H. Bootcamp bootleg[M]. San Francisco:CA:Institute of Design at Stanford,2010. [69] ADAMS R S,DALY S R,MANN L M,et al. Being a professional:Three lenses into design thinking,acting,and being[J]. Design Studies,2011,32(6):588-607. [70] LINDGAARD K,WESSELIUS H. Once more,with feeling:Design thinking and embodied cognition[J]. The Journal of Design,Economics,and Innovation,2017,3(2):83-92. [71] 杨程,陈辰,唐智川.基于脑电的产品意象推理模型研究[J].机械工程学报,2018,54(23):126-136.YANG Cheng,CHEN Chen,TANG Zhichuan. Study of electroencephalography cognitive model of product image[J]. Journal of Mechanical Engineering,2018,54(23):126-136. [72] LIU L,LI Y,XIONG Y,et al. An EEG study of the relationship between design problem statements and cognitive behaviors during conceptual design[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing,2018,32(3):351-362. [73] HU W,REID T. The effects of designers'contextual experience on the ideation process and design outcomes[J].Journal of Mechanical Design,2018,140(10):101101. [74] GOUCHER-LAMBERT K, MOSS J, CAGAN J. A neuroimaging investigation of design ideation with and without inspirational stimuli-understanding the meaning of near and far stimuli[J]. Design Studies,2019,60:1-38. [75] DINAR M,SHAH J J,CAGAN J,et al. Empirical studies of designer thinking:Past,present,and future[J]. Journal of Mechanical Design,2015,137(2). [76] 徐江,王修越,王奕,等.基于语义链接的设计认知多维建模方法[J].机械工程学报,2017,53(15):32-39.XU Jiang,WANG Xiuyue,WANG Yi,et al. The multidimensional modeling method of design cognition based on semantic link[J]. Journal of Mechanical Engineering,2017,53(15):32-39. [77] PATEL A,KRAMER W S,FLYNN M,et al. Function modeling:A modeling behavior analysis of pause patterns[J]. Journal of Mechanical Design,2020,142(11):111402. [78] GERO J S,MILOVANOVIC J. A framework for studying design thinking through measuring designers'minds,bodies and brains[J]. Design Science,2020,6:e19. [79] SUN L,XIANG W,CHAI C,et al. Designers'perception during sketching:An examination of creative segment theory using eye movements[J]. Design Studies,2014,35(6):593-613. [80] NGUYEN T A,ZENG Y. Effects of stress and effort on self-rated reports in experimental study of design activities[J]. Journal of Intelligent Manufacturing,2017,28(7):1609-1622. [81] ERGAN S,RADWAN A,ZOU Z,et al. Quantifying human experience in architectural spaces with integrated virtual reality and body sensor networks[J]. Journal of Computing in Civil Engineering,2019,33(2):4018062. [82] HAN J,SHI F,CHEN L,et al. A computational tool for creative idea generation based on analogical reasoning and ontology[J]. Artificial Intelligence for Engineering Design,Analysis and Manufacturing,2018,32(4):462-477. [83] LAPP S,JABLOKOW K,MCCOMB C. KABOOM:An agent-based model for simulating cognitive style in team problem solving[J]. Design Science,2019,5:e13. [84] SERRA G,MIRALLES D. Human-level design proposals by an artificial agent in multiple scenarios[J]. Design Studies,2021,76:101029. [85] WANG Z,ZHENG P,LI X,et al. Implications of data-driven product design:From information age towards intelligence age[J]. Advanced Engineering Informatics,2022,54:101793. [86] 王伟伟,魏婷,余隋怀,等.面向动态场景的智能产品交互认知负荷评估方法研究[J].机械工程学报,2023,59(11):106-116.WANG Weiwei,WEI Ting,YU Suihuai,et al. Research on the evaluation method of interactive cognitive load of intelligent products for dynamic scenarios[J]. Journal of Mechanical Engineering,2023,59(11):106-116. [87] 刘宗明,陈旭辉,张丁方.基于多模态感观需求下的智能产品评价发展与解析[J/OL].计算机集成制造系统,1-24[2025-05-28]. https://doi.org/10.13196/j.cims.2024.0312.LIU Zongming, CHEN Xuhui, ZHANG Dingfang.Application and optimization research of multimodal microsensory technology in smart product evaluation[J/OL]. Computer Integrated Manufacturing System, 1-24[2025-05-28]. https://doi.org/10.13196/j.cims.2024.0312. [88] TAO F,SUI F,LIU A,et al. Digital twin-driven product design framework[J]. International Journal of Production Research,2019,57(12):3935-3953. [89] LIU X,YANG S. Study on product form design via Kansei engineering and virtual reality[J]. Journal of Engineering Design,2022,33(6):412-440. [90] ZHAO H,LIU Z,YAO X,et al. Research on a complex network and online review data-driven product innovation design[J]. Production Planning&Control,2023:1-11. [91] 吴轩宇,洪兆溪,刘继红,等.复杂定制产品智能化设计与验证协同模式[J].计算机集成制造系统,2022,28(9):2700-2717.WU Xuanyu, HONG Zhaoxi, LIU Jihong, et al.Collaborative pattern of intelligent design and verification for complex customized product[J]. Computer Integrated Manufacturing System,2022,28(9):2700-2717. [92] DE SILVA R K J,RUPASINGHE T D,APEAGYEI P. A collaborative apparel new product development process model using virtual reality and augmented reality technologies as enablers[J]. International Journal of Fashion Design,Technology and Education,2019,12(1):1-11. [93] WU D,ROSEN D W,WANG L,et al. Cloud-based design and manufacturing:A new paradigm in digital manufacturing and design innovation[J]. Computer-Aided Design,2015,59:1-14. [94] 罗仕鉴,崔志彤,帅俊成,等.基于群智协同计算的高速列车概念生成设计研究[J].机械工程学报,2023,59(11):65-73.LUO Shijian,CUI Zhitong,SHUAI Juncheng,et al. A conceptual ideation tool for designing high-speed rails based on crowd intelligence and collaboration[J]. Journal of Mechanical Engineering,2023,59(11):65-73. [95] 李颖新,敬石开,李向前,等.云制造环境下基于用户行为感知的个性化知识服务技术[J].计算机集成制造系统,2015,21(3):848-858.LI Yingxin, JING Shikai, LI Xiangqian, et al.Personalized knowledge service approach for cloud manufacturing based on user behaviors[J]. Computer Integrated Manufacturing System,2015,21(3):848-858. [96] 梁野,裘乐淼,刘晓健,等.基于设计情境与脑机反馈融合的产品设计知识需求感知技术[J].机械工程学报,2020,56(7):151-163.LIANG Ye,QIU Lemiao,LIU Xiaojian,et al. Technology for product design knowledge need awareness based on design context and brain-computer interface[J]. Journal of Mechanical Engineering,2020,56(7):151-163. [97] ZHONG D, FAN J, YANG G, et al. Knowledge management of product design:A requirements-oriented knowledge management framework based on Kansei engineering and knowledge map[J]. Advanced Engineering Informatics,2022,52:101541. [98] ZHAO A, YU Y. Knowledge-enabled BERT for aspect-based sentiment analysis[J]. Knowledge-Based Systems,2021,227:107220. [99] 黄悦欣,余隋怀,初建杰,等.基于联合学习的概念设计知识抽取与图谱构建[J].计算机集成制造系统,2023,29(7):2313-2326.HUANG Yuexin, YU Suihuai, CHU Jianjie, et al.Knowledge extraction and knowledge graph construction for conceptual product design based on joint learning[J].Computer Integrated Manufacturing System,2023,29(7):2313-2326. [100] DAGDELEN J,DUNN A,LEE S,et al. Structured information extraction from scientific text with large language models[J]. Nature Communications,2024,15(1):1418. [101] LIU A,ZHANG D,WANG Y,et al. Knowledge graph with machine learning for product design[J]. CIRP Annals,2022,71(1):117-120. [102] 肖帅鹏,丁华,杨琨,等.专利知识图谱与TRIZ融合驱动的产品概念设计方法[J/OL].计算机集成制造系统,1-23[2025-05-28]. https://doi.org/10.13196/j.cims.2024.0131.XIAO Shuaipeng,DING Hua,YANG Kun,et al.Product conceptual design method driven by patent knowledge graph and TRIZ[J/OL]. Computer Integrated Manufacturing System, 1-23[2025-05-28]. https://doi.org/10.13196/j.cims.2024.0131. [103] JIA J,ZHANG Y,SAAD M. An approach to capturing and reusing tacit design knowledge using relational learning for knowledge graphs[J]. Advanced Engineering Informatics,2022,51:101505. [104] PENG G, WANG H, ZHANG H, et al. A hypernetwork-based approach to collaborative retrieval and reasoning of engineering design knowledge[J].Advanced Engineering Informatics,2019,42:100956. [105] CHEN X,JIA S,XIANG Y. A review:Knowledge reasoning over knowledge graph[J]. Expert Systems with Applications,2020,141:112948. [106] 余隋怀,王鹏超,王磊,等.基于知识工程的产品设计研究综述[J].机械工程学报,2024,60(13):216-234.YU Suihuai,WANG Pengchao,WANG Lei,et al.Research review of product design based on knowledge engineering[J]. Journal of Mechanical Engineering,2024,60(13):216-234. [107] VOET H,ALTENHOF M,ELLERICH M,et al. A framework for the capture and analysis of product usage data for continuous product improvement[J]. Journal of Manufacturing Science and Engineering,2018,141(2):021010. [108] 侯亮,林浩菁,王少杰,等.基于运行数据驱动反向设计的复杂装备个性化定制[J].机械工程学报,2021,57(8):65-80.HOU Liang,LIN Haojing,WANG Shaojie,et al. Mass personalization for complex equipment based on operating data-driven inverse design[J]. Journal of Mechanical Engineering,2021,57(8):65-80. [109] SHI Y, PENG Q. Enhanced customer requirement classification for product design using big data and improved Kano model[J]. Advanced Engineering Informatics,2021,49:101340. [110] HU J,MA J,FENG J,et al. Research on new creative conceptual design system using adapted case-based reasoning technique[J]. Artificial Intelligence for Engineering Design,Analysis and Manufacturing,2017,31(1):16-29. [111] CHEN B,HU J,CHEN W. DRE-based semi-automation of the axiomatic design transformation:From the functional requirement to the design parameter[J].Journal of Engineering Design,2019,30(7):255-287. [112] WENG L, HU Y, DENG Y. Functional combination-oriented module identification for adaptable-function mechanical product design[J]. The International Journal of Advanced Manufacturing Technology,2021,116(1):523-536. [113] ZHOU J, XIAHOU T, LIU Y. Multi-objective optimization-based TOPSIS method for sustainable product design under epistemic uncertainty[J]. Applied Soft Computing,2021,98:106850. [114] QI J,HU J,PENG Y. A customer-involved design concept evaluation based on multi-criteria decision-making fusing with preference and design values[J]. Advanced Engineering Informatics,2021,50:101373. [115] 孔琳,王黎明,吕晓腾,等.基于多层级约束满足问题的产品全生命周期设计方案决策研究[J].机械工程学报,2023,59(11):276-289.KONG Lin,WANG Liming,LÜXiaoteng,et al.Decision-making for product life cycle design solution based on multi-layer constraints satisfaction problem[J].Journal of Mechanical Engineering,2023,59(11):276-289. [116] JING L,YANG J,MA J,et al. An integrated implicit user preference mining approach for uncertain conceptual design decision-making:A pipeline inspection trolley design case study[J]. KnowledgeBased Systems,2023,270:110524. |
[1] | 黄思翰, 陈建鹏, 徐哲, 阎艳, 王国新. 基于大语言模型和机器视觉的智能制造系统人机自主协同作业方法[J]. 机械工程学报, 2025, 61(3): 130-141. |
[2] | 乔非, 刘鹃, 王冬源, 丁晨, 施嘉璇, 王俊凯, 马玉敏. 工业5.0环境下面向生产调度的人本融合技术[J]. 机械工程学报, 2025, 61(15): 40-56. |
[3] | 卢成宇, 洪兆溪, 张志峰, 顾大强, 聂婕, 冯毅雄, 谭建荣. 价值链协同中的数据机理融合研究综述与展望[J]. 机械工程学报, 2025, 61(13): 1-19. |
[4] | 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. |
[5] | 景立挺, 陈盈臣, 谢静, 谭博文, 姜少飞. 考虑用户权重不一致性和复杂交互影响的产品可持续设计需求评估研究[J]. 机械工程学报, 2023, 59(3): 218-231. |
[6] | 娄山河, 冯毅雄, 郑浩, 胡炳涛, 洪兆溪, 谭建荣. 模拟人脑工作机制的机械产品概念设计行为原理启发求解方法[J]. 机械工程学报, 2023, 59(24): 344-358. |
[7] | 郭鑫, 王海涵, 王杰, 张凯, 赵武. 韧性产品交互式概念设计与知识推理方法研究[J]. 机械工程学报, 2023, 59(11): 74-83. |
[8] | 姚锡凡, 马南峰, 张存吉, 周佳军. 以人为本的智能制造:演进与展望[J]. 机械工程学报, 2022, 58(18): 2-15. |
[9] | 庄存波, 刘检华, 张雷. 工业5.0的内涵、体系架构和使能技术[J]. 机械工程学报, 2022, 58(18): 75-87. |
[10] | 马南峰, 姚锡凡, 陈飞翔, 俞鸿均, 王柯赛. 面向工业5.0的人本智造[J]. 机械工程学报, 2022, 58(18): 88-102. |
[11] | 龙辉, 郝佳, 牛红伟, 王国新, 张非凡. 基于情境的CAD模型手势操控技术[J]. 机械工程学报, 2022, 58(10): 374-382. |
[12] | 李雨桐, 王玉新, 张旭光. 机械系统功能行为合成与创新[J]. 机械工程学报, 2019, 55(19): 128-137. |
[13] | 郑浩, 冯毅雄, 高一聪, 谭建荣. 基于性能演化的复杂产品概念设计求解过程研究[J]. 机械工程学报, 2018, 54(9): 214-223. |
[14] | 侯文彬, 单春来, 于野, 张红哲. 模块化平台的模块划分及共享模块筛选方法[J]. 机械工程学报, 2018, 54(1): 188-196. |
[15] | 张建辉, 檀润华, 张争艳, 代金玲, 杨欣霖. 计算机辅助创新技术驱动的产品概念设计与详细设计集成研究[J]. 机械工程学报, 2016, 52(5): 47-57. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||