广东工业大学学报 ›› 2022, Vol. 39 ›› Issue (02): 1-11.doi: 10.12052/gdutxb.210167

• 可拓学与创新方法 •    下一篇

基于可拓理论的无人驾驶汽车内饰设计

王体春, 许枫魁   

  1. 南京航空航天大学 机电学院, 江苏 南京 210016
  • 收稿日期:2021-11-02 出版日期:2022-03-10 发布日期:2022-04-02
  • 作者简介:王体春(1981-),男,副教授,博士,主要研究方向为可拓工程、知识工程与数据挖掘、产品数字化设计、专家系统设计、计算机辅助设计等人工智能,E-mail:wangtichun2010@nuaa.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51775272,51005114)

A Research on Interior Design of Self-driving Car Based on Extenics

Wang Ti-chun, Xu Feng-kui   

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2021-11-02 Online:2022-03-10 Published:2022-04-02

摘要: 为了对无人驾驶汽车内饰设计复杂问题进行明确量化、评价和提高设计效率,将可拓学应用于无人驾驶汽车内饰设计。提出面向无人驾驶汽车内饰设计问题的界定方法、共轭分析、方案生成算法以及构建了无人驾驶汽车内饰设计评价指标体系。以基于2030年90后父母、孩子和宠物狗一起去近郊旅游的无人驾驶汽车内饰设计为例,通过基于可拓理论的无人驾驶汽车内饰设计方案生成算法,获得3个有效的设计创意。并进行设计表达,使其具体化为设计方案,最后进行优度评价获得最优方案。设计结果验证了该方法的可行性和有效性。

关键词: 无人驾驶汽车内饰设计, 可拓设计, 优度评价, 方案优化

Abstract: In order to clearly quantify and evaluate the complex issues in the interior design of self-driving car, and improve design efficiency, extension is applied to the interior design of self-driving car, and the definition of interior design problems proposed for self-driving car methods, conjugate analysis, generating algorithm and constructing an evaluation index system for the interior design of unmanned vehicles. Taking the self-driving car interior design based on the 2030 90s parents, children and pet dogs traveling together in the suburbs as an example, through the self-driving car interior design scheme generation algorithm based on the extension theory, three effective designs of creativity are first obtained, and the designs expressed to make them concrete into a design plan, and a goodness evaluation finally performed to obtain the optimal plan. The design results verify the feasibility and effectiveness of the method.

Key words: self-driving car interior design, extension design, goodness evaluation, scheme optimization

中图分类号: 

  • TN122
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