家具与室内装饰2024,Vol.31Issue(4) :97-105.DOI:10.16771/j.cn43-1247/ts.2024.04.015

智能时代家电产品创新设计方法发展趋势研究

Study on the Development Trend of Innovative Design Methods for Home Appliances in the Intelligent Era

冯颖 余隋怀 林世锋
家具与室内装饰2024,Vol.31Issue(4) :97-105.DOI:10.16771/j.cn43-1247/ts.2024.04.015

智能时代家电产品创新设计方法发展趋势研究

Study on the Development Trend of Innovative Design Methods for Home Appliances in the Intelligent Era

冯颖 1余隋怀 2林世锋3
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作者信息

  • 1. 广州城市理工学院机械工程学院,广东广州 510800;澳门城市大学创新设计学院,澳门 999078
  • 2. 西北工业大学工业设计与人机工效工信部重点实验室,陕西西安 710072
  • 3. 华南理工大学机械与汽车工程学院,广东广州 510641
  • 折叠

摘要

本文探讨了智能时代背景下家电产品创新方法的发展趋势,强调集成智能功能的创新设计工具是计算辅助创新设计(CAI)发展的重要趋势.提出了将场景数据库、用户画像数据、用户画像产品定制化分析以及在线评论数据挖掘等功能集成入以IRIZ/ARIZ为模型主体的计算机辅助创新设计软件中,还探讨了构建场景数字孪生模型与CAI系统的集成方式,以及如何利用人工智能技术结合家电辅助创新CAI软件来推动家电产品设计的创新.这些内容展望了利用先进技术提升家电设计效率和创新性的可能性.

Abstract

This text discusses the development trends of innovative methods in home appliance products under the context of the intelligent era,emphasizing that the integration of intelligent functions into innovative design tools is an important trend in the development of Computer-Aided Innovation Design(CAI).It proposes integrating functionalities such as scenario databases,user profile data,customized user profile product analysis,and online review data mining into computer-aided innovation design software based on the TRIZ/ARIZ model.The article also explores the construction of scenario digital twin models and their integration with CAI systems,as well as how to use artificial intelligence technology in combination with home appliance CAI software to promote innovation in home appliance product design.These contents foresee the possibilities of using advanced technologies to enhance the efficiency and innovation of home appliance design.

关键词

人工智能/家电产品/创新设计方法/计算机辅助创新设计/场景数字孪生

Key words

Artificial Intelligence/Home appliance products/Innovative design methods/Computer-aided innovation design/Scenario digital twins

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基金项目

国家社会科学基金艺术学重大项目(22ZD17)

广东省创新强校特色创新类项目(2020GXJK486)

出版年

2024
家具与室内装饰
中南林学院

家具与室内装饰

北大核心
ISSN:1006-8260
参考文献量54
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