Individualized and accurate eco-design knowledge push for designers: a CAD-based feedback knowledge push method for the eco-design

Lei Zhang, Shoutian Shao, Suxin Chen, Xinyu Li, Rui Jiang, Ziqi Li
{"title":"Individualized and accurate eco-design knowledge push for designers: a CAD-based feedback knowledge push method for the eco-design","authors":"Lei Zhang, Shoutian Shao, Suxin Chen, Xinyu Li, Rui Jiang, Ziqi Li","doi":"10.1177/1063293X20985539","DOIUrl":null,"url":null,"abstract":"In the conceptual design phase of eco-products, the evaluation of products eco-design is often considered by designers after determining the design scheme. In order to improve the eco-design efficiency, a CAD-based feedback knowledge push method was proposed to meet the designer’s eco-design knowledge requirements. Combine with the designer knowledge background, classified eco-design knowledge, and decomposed design tasks, eco-design knowledge requirements of designers can be obtained. Based on the cosine similarity algorithm of the knowledge vector space model (VSM), the knowledge requirements of the designer and the knowledge in the knowledge database are matched, and the eco-knowledge is actively pushed to the designer. The feedback and evaluation of designers on the initial push of knowledge was recorded by the system. When the designer is assigned relevant eco-design tasks again, the system conducts secondary filtering of eco-design knowledge through previous feedback records and pushes the filtered knowledge to designers, so as to achieve accurate feedback knowledge push. A CAD-based eco-design knowledge push prototype system for automotive products is developed. The eco-design of the front-end module of the automotive is used as an example to verify the effectiveness of the above method.","PeriodicalId":10680,"journal":{"name":"Concurrent Engineering","volume":"24 1","pages":"153 - 168"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrent Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1063293X20985539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

In the conceptual design phase of eco-products, the evaluation of products eco-design is often considered by designers after determining the design scheme. In order to improve the eco-design efficiency, a CAD-based feedback knowledge push method was proposed to meet the designer’s eco-design knowledge requirements. Combine with the designer knowledge background, classified eco-design knowledge, and decomposed design tasks, eco-design knowledge requirements of designers can be obtained. Based on the cosine similarity algorithm of the knowledge vector space model (VSM), the knowledge requirements of the designer and the knowledge in the knowledge database are matched, and the eco-knowledge is actively pushed to the designer. The feedback and evaluation of designers on the initial push of knowledge was recorded by the system. When the designer is assigned relevant eco-design tasks again, the system conducts secondary filtering of eco-design knowledge through previous feedback records and pushes the filtered knowledge to designers, so as to achieve accurate feedback knowledge push. A CAD-based eco-design knowledge push prototype system for automotive products is developed. The eco-design of the front-end module of the automotive is used as an example to verify the effectiveness of the above method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
个性化精准生态设计知识推送:一种基于cad的生态设计知识推送方法
在生态产品的概念设计阶段,设计师在确定设计方案后往往会考虑产品生态设计的评价。为了提高生态设计效率,提出了一种基于cad的知识反馈推送方法,以满足设计者对生态设计知识的需求。结合设计师的知识背景,对生态设计知识进行分类,对设计任务进行分解,得出设计师的生态设计知识需求。基于知识向量空间模型(VSM)的余弦相似度算法,将设计者的知识需求与知识库中的知识进行匹配,并将生态知识主动推送给设计者。系统记录了设计师对知识初始推送的反馈和评价。当设计师再次被分配相关的生态设计任务时,系统通过之前的反馈记录对生态设计知识进行二次过滤,并将过滤后的知识推送给设计师,实现准确的反馈知识推送。开发了基于cad的汽车产品生态设计知识推送原型系统。以汽车前端模块的生态设计为例,验证了上述方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Sensitivity study of process parameters of wire arc additive manufacturing using probabilistic deep learning and uncertainty quantification Retraction Notice Decision-making solutions based artificial intelligence and hybrid software for optimal sizing and energy management in a smart grid system Harness collaboration between manufacturing Small and medium-sized enterprises through a collaborative platform based on the business model canvas Research on the evolution law of cloud manufacturing service ecosystem based on multi-agent behavior simulation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1