生物激励的知识建模与创新类推方法

doi:10.3901/JME.2017.15.021

机械工程学报 ›› 2017, Vol. 53 ›› Issue (15): 21-31.doi: 10.3901/JME.2017.15.021

• 特邀专栏：设计思维及在创新设计中的应用 • 上一篇下一篇

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生物激励的知识建模与创新类推方法

胡洁^1,2, 马进^1,2, 戚进^1,2, 彭颖红^1,2

1. 上海交通大学机械与动力工程学院上海 200240;
2. 上海交通大学机械系统与振动国家重点实验室上海 200240

收稿日期:2016-06-21 修回日期:2017-04-19 出版日期:2017-08-05 发布日期:2017-08-05
通讯作者: 胡洁(通信作者),男,1973年出生,教授。主要研究方向为基于知识的工程和生物激励设计。E-mail:hujie@sjtu.edu.cn
作者简介:马进,男,1986年出生,博士。主要研究方向为创新设计理论与应用和生物激励设计。E-mail:heltonma@sjtu.edu.cn;戚进,男,1982年出生,讲师。主要研究方向为基于知识的工程和创新设计理论与应用。E-mail:jinhuaqj@sjtu.edu.cn;彭颖红,男,1963年出生,教授。主要研究方向为基于知识的工程和创新设计理论与应用。E-mail:yhpeng@sjtu.edu.cn
基金资助:
国家自然科学基金资助项目（51475288，51605302）。

Knowledge Modelling and Innovative Analogy Methodology of Biologically Inspired Design

HU Jie^1,2, MA Jin^1,2, QI Jin^1,2, PENG Yinghong^1,2

1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240;
2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240

Received:2016-06-21 Revised:2017-04-19 Online:2017-08-05 Published:2017-08-05

摘要/Abstract

摘要： 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（F_bio-B_bio-S_bio）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。

关键词: 创新设计, 解/问题驱动, 类推方法, 生物激励设计

Abstract: A normalized biological knowledge representation model, F_bio-B_bio-S_bio 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 F_bio-B_bio-S_bio 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.

Key words: analogy methodology, biologically inspired design, innovative design, solution/problem driven

中图分类号:

TH122

胡洁, 马进, 戚进, 彭颖红. 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, PENG Yinghong. Knowledge Modelling and Innovative Analogy Methodology of Biologically Inspired Design[J]. Journal of Mechanical Engineering, 2017, 53(15): 21-31.

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生物激励的知识建模与创新类推方法

Knowledge Modelling and Innovative Analogy Methodology of Biologically Inspired Design

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