生物激励设计作为最具活力的设计创新方法之一，是工程领域创新设计解方案产生的重要途径。针对生物激励设计中缺乏系统的跨领域实例获取和类推方法以支持将生物领域实例映射到工程领域激励创新解方案生成的问题，提出了规范化的生物领域功能-行为-结构（Fbio-Bbio-Sbio）知识元模型和基于知识元模型的解/问题驱动的转换-聚类检索-关联映射-设计综合（Transformation-clustering-mapping-synthesis，TCMS）创新类推过程模型。在解/问题驱动类推过程中，首先根据公理化设计的原则构建类推实例的非耦合知识元模型，完成设计需求/实例到功能模型的转换，然后根据生物功能与依存环境密切相关的特点，进行基于环境特征的聚类检索，以知识元模型功能基为桥梁建立生物与工程领域知识元间映射关系，最后通过对功能分解路径的回溯实现对工程领域知识元模型的设计综合，该类推模型的可能性和有效性在视觉假体装置的设计中得到了验证。
A normalized biological knowledge representation model, Fbio-Bbio-Sbio knowledge cell model, and a systematic solutions/problem driven innovative analogy process model, transformation-clustering-mapping-synthesis model, are proposed to address the issues that the biologically inspired design analogies cannot be easily acquired and transferred into engineering design. Uncoupled or decoupled Fbio-Bbio-Sbio knowledge cells are obtained through function decomposition of existing cases according to the Suh's Axiomatic Design principle in order to establish database. In solutions/problem driven analogy process, transformation from biological analogies/design requirement to function model is coming first, followed by knowledge cells clustering to present a set of related knowledge cells and mapping biological knowledge cells to engineering, and finally, the engineering knowledge cells are used to conduct design synthesis through back tracking function decomposition process. The feasibility and effectiveness of the proposed methodology are verified in the design of visual prosthesis.
[1] SCHMITT O H. Some interesting and useful biomimetic transforms[C]//Proceedings of the Third International Biophysics Congress,Boston,Massachusetts,1969:297-307.
[2] STEELE J E. How do we get there?[C]//Bionics Symposium:Living Prototypes-The Key to New Technology. New York,NY:Routledge,1960:55-60.
[3] BENYUS J M. Biomimicry innovation inspired by nature[M]. New York:Morrow,1997.
[4] 王国彪,陈殿生,陈科位,等. 仿生机器人研究现状与发展趋势[J]. 机械工程学报,2015,51(13):27-44. WANG Guobiao,CHEN Diansheng,CHEN Kewei,et al. The current research status and development strategy on biomimetic robot[J]. Journal of Mechanical Engineering,2015,51(13):27-44.
[5] CHAKRABARTI A, SHU L H. Guest editorial -biologically inspired design[J]. Artificial Intelligence for Engineering Design,Analysis and Manufacturing,2010,24(4):453-454.
[6] GOEL A K,MCADAMS D A,STONE R B. Guest editorial-biologically inspired design[J]. ASME, Journal of Mechanical Design,2014,136(7):110301-1-3.
[7] GOEL A K,MCADAMS D A,STONE R B. Biologically inspired design:Computational methods and tools[M]. London:Springer Science & Business Media,2013.
[8] DELDIN J M,SCHUKNECHT M. The AskNature database:Enabling solutions in biomimetic design[M]. London:Biologically Inspired Design,2014.
[9] HELMS M,GOEL A K. The four box method:Problem formulation and analogy evaluation in biologically inspired design[J]. Journal of Mechanical Design,2014,136(11):111106.
[10] 任露泉,梁云虹. 耦合仿生学[M]. 北京:科学出版社, 2012. REN Luquan,LIANG Yunhong. Coupling bionics[M]. Beijing:Science Press,2012.
[11] CHAKRABARTI A. Supporting analogical transfer in biologically inspired design[M]. London:Biologically Inspired Design,2014.
[12] NAGEL J K. Systematic design of biologically-inspired engineering solutions[M]. Orvallis:Oregon State University,2010.
[13] VINCENT J F V,MANN D L. Systematic technology transfer from biology to engineering[J]. Philosophical Transactions of the Royal Society of London A:Mathematical,Physical and Engineering Sciences,2002,360(1791):159-173.
[14] HIRTZ J. A functional basis for engineering design:Reconciling and evolving previous efforts[J]. Research in Engineering Design,2002,13(2):65-82.
[15] CHEONG H,SHU L H. Retrieving causally related functions from natural language text for biomimetic design[J]. ASME Journal of Mechanical Design,2014, 136(8):081008-081008-10.
[16] BEZDEK J C. Pattern recognition with fuzzy objective function algorithms[M]. London:Springer Science & Business Media,2013.
[17] 吉祥,顾新建,代风,等. 基于BioTRIZ的产品创新设计过程[J]. 浙江大学学报,2014(1):35-41. JI Xiang,GU Xinjian,DAI Feng,et al. BioTRIZ based product innovative design process[J]. Journal of Zhejiang University,2014(1):35-41.
