融合可拓学与多层次知识建模的仿生原型获取

doi:10.3901/JME.2019.21.150

机械工程学报 ›› 2019, Vol. 55 ›› Issue (21): 150-160.doi: 10.3901/JME.2019.21.150

融合可拓学与多层次知识建模的仿生原型获取

刘晓敏, 李娇蓉, 陈亮, 程广驰

福州大学机械工程及自动化学院福州 350116

收稿日期:2018-11-08 修回日期:2019-05-19 出版日期:2019-11-05 发布日期:2020-01-08
作者简介:刘晓敏,男,1971年出生,博士,教授,硕士研究生导师。主要研究方向为产品创新设计方法、集成创新技术、旋流分离技术等。E-mail:lxmliu@fzu.edu.cn;李娇蓉,女,1994年出生,硕士研究生。主要研究方向为产品创新设计理论及方法。E-mail:ljr_jiaorongli@163.com
基金资助:
国家自然科学基金资助项目（50875049）。

Bionic Prototype Acquisition Incorporating Extension and Multi-level Knowledge Modeling

LIU Xiaomin, LI Jiaorong, CHEN Liang, CHENG Guangchi

School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116

Received:2018-11-08 Revised:2019-05-19 Online:2019-11-05 Published:2020-01-08

摘要/Abstract

摘要： 针对仿生原型获取过程中存在的问题，构建融合可拓学与多层次知识建模的总体框架实现模型。描述产品-生物系统多层次语义关系。基于可拓基元理论及形式化的描述方法，构建产品系统功能-原理-行为-结构（Function-principle-behavior-structure，FPBS）和生物系统结构-动作-策略-功能（Structure-action-tactic-function，SATF）实例元本体可拓模型。建立产品FPBS和生物SATF映射关系模型。根据基元拓展性，建立产品-生物两系统的实例元可拓集。在相关可拓集中，引入基元相似度计算方法。借助于两系统各层次间的相似性来搜索仿生原型，再利用可拓综合评价方法进行仿生原型优选。以滤网式过滤器为例，以验证所构建的总体框架实现模型的可行性与有效性。

关键词: 仿生原型, 可拓学, FPBS, SATF, 知识建模, 相似度

Abstract: A general framework for integrating extension and multi-level knowledge modeling is constructed to address the problems existing in the process of bionic prototype acquisition. The multi-level semantic relationship of the product-biological system is introduced. The extensional model of product system Function-Principle-Behavior-Structure and biology system Structure-Action-Tactic-Function case-element ontology based on the basic-element theory of the extension and its formal description method are built. The product FPBS and the biology SATF mapping relation model are established. The case-element extension set of the product-biology system is made according to the extended nature and the similar method of the basic-element is introduced in the relevant extensional set. Searching a bionic prototype based on the similarity of the two systems is proposed, and a method of extensional comprehensive evaluation is used to optimize the bionic prototype. The screen filter is taken as an example, the feasibility of the overall framework is verified.

Key words: bionic prototype, extension, FPBS, SATF, knowledge modeling, similarity

中图分类号:

TH122

刘晓敏, 李娇蓉, 陈亮, 程广驰. 融合可拓学与多层次知识建模的仿生原型获取[J]. 机械工程学报, 2019, 55(21): 150-160.

LIU Xiaomin, LI Jiaorong, CHEN Liang, CHENG Guangchi. Bionic Prototype Acquisition Incorporating Extension and Multi-level Knowledge Modeling[J]. Journal of Mechanical Engineering, 2019, 55(21): 150-160.

参考文献

[1] O'NEILL P,BARRETT A,SULLIVAN T,et al. Rapid prototyped biomimetic antifouling surfaces for marine applications[J]. Materials Today Proceedings,2016,3(2):527-532.
[2] 胡洁,马进,戚进,等. 生物激励的知识建模与创新类推方法[J]. 机械工程学报,2017,53(15):21-31. HU Jie,MA Jin,QI Jin,et al. Knowledge modeling and innovative analogy methodology of biologically inspired design[J]. Journal of Mechanical Engineering,2017,53(15):21-31.
[3] 刘晓敏,王建辉,李娇蓉,等. 基于生物原型的产品创新设计[J]. 中国工程机械学报,2017,15(6):504-512. LIU Xiaomin,WANG Jianhui,LI Jiaorong,et al. The research of product innovation design based on biological prototype[J]. Chinese Journal of Construction Machinery,2017,15(6):504-512.
[4] VATTAM S,WILTGEN B,HELMS M,et al. Dane:fostering creativity in and through biologically inspired design[C]//Design Creativity 2010. Springer London,2011:115-122.
[5] SHU L H. A natural-language approach to biomimetic design[J]. Ai Edam Artificial Intelligence for Engineering Design Analysis & Manufacturing,2010,24(4):507-519.
[6] WILSON J O,ROSEN D. Systematic reverse engineering of biological systems[C]//ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. 2008:69-78.
[7] 刘伟,曹国忠,檀润华,等. 多生物效应技术实现方法研究[J]. 机械工程学报,2016,52(9):129-140. LIU Wei,CAO Guozhong,TAN Runhua,et al. Research on measures to technical realization of multi biological effects[J]. Journal of Mechanical Engineering,2016,52(9):129-140.
[8] CHAKRABARTI A. Supporting analogical transfer in biologically inspired design[M]. Biologically Inspired Design,Springer London,2014.
[9] VINCENT J F V,BOGATYREVA O A,BOGATYREV N R,et al. Biomimetics:Its practice and theory[J]. Journal of the Royal Society Interface,2006,3(9):471.
[10] GOEL A K,VATTAM S,WILTGEN B,et al. Cognitive,collaborative,conceptual and creative-four characteristics of the next generation of knowledge-based CAD systems:a study in biologically inspired design[J]. Computer-Aided Design,2012,44(10):879-900.
[11] NAGEL J K S,NAGEL R L,STONE R B,et al. Function-based,biologically inspired concept generation[J]. Artificial Intelligence for Engineering Design Analysis & Manufacturing,2010,24(4):521-535.
[12] LIU X M,HUANG S P,CHEN Y T. Research and application:conceptual integrated model based on TRIZ and bionics for product innovation[J]. International Journal on Interactive Design & Manufacturing,2017,11(2):341-349.
[13] 杨春燕,蔡文. 可拓学[M]. 北京:科学出版社,2014. YANG Chunyan,CAI Wen. Extenics[M]. Beijing:Science Press,2014.
[14] 洪筠,钱志辉,任露泉. 多元耦合仿生可拓模型及其耦元分析[J]. 吉林大学学报,2009,39(3):726-0731. HONG Yun,QIAN Zhihui,REN Luquan. Extensive model of multi-factor coupling bionics and analysis of coupling elements[J]. Journal of Jilin University,2009,39(3):726-0731.
[15] QIAN Z H,HONG Y,XU C Y,REN L Q. A biological coupling extension model and coupling element identification[J]. Journal of Bionic Engineering,2009,6(2):186-195.
[16] 李文强,孙文磊,熊艳. 多层次可拓物元基因概念设计方法的研究[J]. 计算机应用研究,2008,25(2):414-416. LI Wenqiang,SUN Wenlei,XIONG Yan. Research of conceptual design method based on multi-layers extension matter element gene[J]. Computer Applied Research,2008,25(2):414-416.
[17] 张建辉,王娟,代金玲,等. 基于可拓理论的产品需求-功能映射方法[J]. 科学技术与工程,2017,17(24):166-172. ZHANG Jianhui,WANG Juan,DAI Jinling,et al. Product demand-function mapping method based on extension theory[J]. Science Technology and Engineering,2017,17(24):166-172.
[18] 李立希,杨春燕,李铧汶. 可拓策略生成系统[M]. 北京:科学出版社,2006. LI Lixi,YANG Chunyan,LI Huawen. Generation system of extension strategy[M]. Beijing:Science Press,2006.
[19] 王科. 基于FBS的机械产品概念设计方法与应用[D]. 宁波:宁波大学,2011. WANG Ke. Conceptual design method and application of mechanical products based on FBS[D]. Ningbo:Ningbo University,2011.
[20] GU C C,HU J,PENG Y H. Research on function based method for bio-inspiration knowledge modeling and transformation[J]. Journal of Shanghai Jiaotong University(Science),2014,19(2):190-198.
[21] 赵燕伟,苏楠,张峰,等. 基于可拓实例推理的产品族配置设计方法[J]. 机械工程学报,2010,46(15):146-154. ZHAO Yanwei,SU Nan,ZHANG Feng,et al. Configuration design method for product family based on extension case reasoning[J]. Journal of mechanical engineering,2010,46(15):146-154.
[22] 刘群,李素建. 基于《知网》的词汇语义相似度计算[J]. 中文计算语言学,2002,7(2):59-76. LIU Qun,LI Sujian. Word similarity computing based on how-net[J]. Chinese Computational Linguistics,2002,7(2):59-76.
[23] BIAN T,HU J,DENG Y. Identifying influential nodes in complex networks based on AHP[J]. Physical A Statistical Mechanics & Its Applications,2017,479(4):422-436.
[24] 赵燕伟,苏楠. 可拓设计[M]. 北京:科学出版社,2010. ZHAO Yanwei,SU Nan. Extension design[M]. Beijing:Science Press,2010.

融合可拓学与多层次知识建模的仿生原型获取

Bionic Prototype Acquisition Incorporating Extension and Multi-level Knowledge Modeling

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