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基于用户生成内容的产品服务系统设计方法 被引量:7

Design Method of Product Service System Design Based on User-generated Content
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摘要 目的在人机协同的设计背景下,研究提出的一套基于数据驱动的自动化生成设计方法,以致力于提高设计效率,为企业创新需求提供学术参考价值。方法研究首先运用文本挖掘,并生成用户感性意象和产品特征词表,随后基于QM1对文本进行积极和消极感性意象分类,定量化的分析了用户的偏好,快速响应用户的需求。随后以公路自行车为设计案例,开发出应用程序编程接口(API)工具。结果根据QM1的分析结果,选取了类别得分最高的6个设计元素进行组合,而后在SolidWorks的DriveWorksXpress中创建选定的设计元素模型和装配体的副构件,实现了用户需求与三维造型相匹配的自动化设计方案生成。结论研究基于文本挖掘,并以公路自行车的自动化设计实践验证了有效性,方法具有数据驱动、快速响应和自动化的优势。 The work aims to study and propose a set of data-driven automatic generation design method under the background of human-computer collaborative design to improve the design efficiency,and provide academic reference value for enterprise innovation needs.Firstly,text mining was used to generate user’s Kansei image and key words of product feature.Then,positive and negative Kansei image classification was carried out based on QML.The user’s preferences were analyzed quantitatively to respond to user’s needs.Finally,with road bicycle as the design case,the Application Programming Interface(API)tool was developed.According to the analysis results by QM1,6 design elements with the highest scores were selected for combination.Then,the selected design element model and sub-members of assembly were created in DriveWorksXpress of SolidWorks,thus realizing the automatic generation of design scheme of user’s needs matching with the 3D modeling.Based on text mining,the validity of the method is verified by the automatic design practice of road bicycle and the method has the advantages of data-driving,rapid response and automation.
作者 刘键 黄赛 曹家港 邹锋 韩宇翃 LIU Jian;HUANG Sai;CAO Jia-gang;ZOU Feng;HAN Yu-hong(Beijing University of Technology,Beijing 100124,China)
机构地区 北京工业大学
出处 《包装工程》 CAS 北大核心 2020年第24期118-125,142,共9页 Packaging Engineering
基金 北京市优秀设计青年人才项目 北京市社科基金 北京市教委重点项目。
关键词 大数据爬虫 用户生成内容 数据驱动设计 快速响应设计 设计自动化 big data-crawler user generated content data-driven design rapid response design design automation
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