1. 广东工业大学 艺术与设计学院,广东,广州,510090
2. 广东工业大学 可拓学与创新方法研究所,广东,广州,510006
3. 广东工业大学 机电工程学院,广东,广州,510006
张紫然(1998–),女,硕士研究生,主要研究方向为产品设计、可拓设计
李兴森(1968–),男,教授,博士,主要研究方向为可拓学与可拓智能创新,E-mail:lixingsen@126.com
网络首发:2021-11-10,
纸质出版:2021
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张紫然, 李兴森, 郭恒发, 王昊. 解决设计问题的可拓创意生成方法——以区庄地铁站地面烟蒂问题为例[J]. 广东工业大学学报, 2021, 38(6): 103-110.
Zhang Zi-ran, Li Xing-sen, Guo Heng-fa, et al. A Creative Generation Method Solving Design Problems Based on Extenics—Removing the Cigarette Butts on the Ground of Ouzhuang Metro Station as an Example[J]. 2021, 38(6): 103-110.
张紫然, 李兴森, 郭恒发, 王昊. 解决设计问题的可拓创意生成方法——以区庄地铁站地面烟蒂问题为例[J]. 广东工业大学学报, 2021, 38(6): 103-110. DOI: 10.12052/gdutxb.210057.
Zhang Zi-ran, Li Xing-sen, Guo Heng-fa, et al. A Creative Generation Method Solving Design Problems Based on Extenics—Removing the Cigarette Butts on the Ground of Ouzhuang Metro Station as an Example[J]. 2021, 38(6): 103-110. DOI: 10.12052/gdutxb.210057.
创意生成是设计过程中的关键环节之一
但受限于个人技能
往往难以获取可穷举的系统性创意。可拓学研究矛盾问题处理的方法可以为解决设计中的问题提供参考。以广州区庄地铁站解决乱扔烟蒂影响公共生活环境问题为例
引入可拓创新方法
对问题进行基元建模; 基于区庄地铁站的实际情况分析
把问题拆解为多个基元进行详细的拓展分析
利用可拓创新方法中的可拓变换
最终提出了13种以上的解决方案。通过在区庄地铁站区域的应用
验证了方案的有效性。该方法可为解决设计中创意生成的系统性问题提供新思路。
Idea generation is a key aspect in design
but it is difficult to obtain systematic ideas due to the limited skills of individuals. The method of studying the treatment of contradictory problems in Extenics can provide a reference for solving the problems in design. Taking Ouzhuang metro station in Guangzhou as an example to solve the problem of littering cigarette butts affecting the public living environment
an Extension innovation method is introduced to model the problem with basic elements
and based on the analysis of the actual situation of Ouzhuang metro station
the problem is studied by detailed expansion analysis on multiple basic elements
and using the extension innovation method such as transformation to obtain more than 13 solutions.Finally
the application in a small area of Ouzhuang metro station proved the effectiveness of the solutions. The method can provide new directions for generating systematic ideas for problem solving in design.
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LI W J, YANG C Y, TANG L, et al . Research on the transformation method for the correlation relation in extenics [J ] . CAAI Transactions on Intelligent Systems, 2019, 14(4): 619-626.
BAI Z H, WANG W, ZHAGN M, et al . Research on product innovation design based on extenics and causal chain analysis [J ] . Journal of Machine Design, 2020, 37(11): 139-144.
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