详细信息
人机协同视域下汽车造型智能设计研究
Research on intelligent design of automobile styling from the perspective of man-machine collaboration
文献类型:期刊文献
中文题名:人机协同视域下汽车造型智能设计研究
英文题名:Research on intelligent design of automobile styling from the perspective of man-machine collaboration
作者:章彰[1];徐义辉[1];陆潜慧[2];王梦灵[2]
机构:[1]华东理工大学艺术设计与传媒学院,上海200237;[2]华东理工大学信息科学与工程学院,上海200237
年份:2025
卷号:42
期号:7
起止页码:219
中文期刊名:机械设计
外文期刊名:Journal of Machine Design
收录:;北大核心:【北大核心2023】;
基金:2021年度教育部人文社会科学研究一般项目(21YJCZH049);2022年上海市促进文化创意产业发展财政扶持资金拟支持项目(第一批)(2022020026-V0);2020年上海市浦江计划(2020PJC026)。
语种:中文
中文关键词:汽车造型;人机协同;智能设计;聚类分析;词频-逆文档频率
外文关键词:automobile styling;man-machine collaboration;intelligent design;cluster analysis;TF-IDF
摘要:为研究智能技术与汽车造型设计结合的可能性,提出一种人机协同的汽车造型智能设计方法,包括需求数据支持、数据智能转换、智能寻优匹配和对抗式迭代评价4个关键步骤,并采用层次分析法、聚类分析和词频-逆文档频率算法等关键技术处理调研数据,匹配设计方案,以“饱满”和“未来感”为关键词验证方法框架的可行性。最终设计结果得到用户认可,证明汽车造型智能设计方法在实际应用中的有效性。人机协同的汽车造型智能设计方法可为未来汽车造型设计提供参考,促进汽车智能设计的发展和普及。
In order to explore the possibility of combining intelligent technology with automobile styling design,a human-machine collaborative automobile styling intelligent design method was proposed.There were four key steps,including requirement data support,data intelligent transformation,intelligent optimization matching and adversarial iterative evaluation.Key technologies such as AHP,cluster analysis and TF-IDF were used to process the survey data and match design scheme.The key words“full”and“future sense”were used to verify the feasibility of the framework.The final design result had been accepted by the users,which proved the effectiveness of the automobile styling intelligent design method in practice.The intelligent design method of automobile styling based on human-machine collaboration provided references for future automobile styling design.The development and popularization of automobile intelligent design were promoted.
参考文献:
正在载入数据...
