南京航空航天大学 机电学院,江苏,南京,210016
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
网络首发:2022-03-10,
纸质出版:2022
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王体春, 许枫魁. 基于可拓理论的无人驾驶汽车内饰设计[J]. 广东工业大学学报, 2022, 39(2): 1-11.
Wang Ti-chun, Xu Feng-kui. A Research on Interior Design of Self-driving Car Based on Extenics[J]. 2022, 39(2): 1-11.
王体春, 许枫魁. 基于可拓理论的无人驾驶汽车内饰设计[J]. 广东工业大学学报, 2022, 39(2): 1-11. DOI: 10.12052/gdutxb.210167.
Wang Ti-chun, Xu Feng-kui. A Research on Interior Design of Self-driving Car Based on Extenics[J]. 2022, 39(2): 1-11. DOI: 10.12052/gdutxb.210167.
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。
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.
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