多意象驱动下的产品造型个性化定制系统研究
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引用本文:王 鹏 ,张 炜 ,白睿昇.多意象驱动下的产品造型个性化定制系统研究[J].计算技术与自动化,2021,(1):7-14
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作者单位
王 鹏 ,张 炜 ,白睿昇 (兰州理工大学 设计艺术学院甘肃 兰州 730050) 
中文摘要:构建了一种基于多意象驱动下的产品个性化定制系统,增加用户对个性化定制的体验度,从而实现智能的产品个性化定制设计。通过对当下三种产品个性化定制模式的比较研究和分析,提出了个性化定制系统的构架模型和系统流程。然后通过用户参与模式、感性意象挖掘、关联方法建立多意象驱动机制,并结合感性工学的相关研究方法、BP神经网络以及多目标粒子群算法构建了面向产品意象造型的智能设计模型,实现了多意象驱动下的产品造型个性化定制。最后以人形卡通文具的个性化定制进行了实例验证。结果表明多意象驱动的产品造型个性化定制系统更加丰富了消费者对产品造型意象风格的体验,满足了消费者日益迫切的个性化设计需求,符合智能时代对产品设计开发的需要。
中文关键词:多意象驱动  个性化定制  BP神经网络  多目标粒子群算法
 
Research on Product Image Personalization Customization System Driven by Multi-image
Abstract:Building a personalized customization system based on perceptual image-driven user participation, so as to increase the user’s experience of products design, finally, to realize the intelligent products customization.By researching and analysing the design custom pattern and personalization theory of the present three products, giving a architecture model of personalized system, through user participation model, perceptual intention mining, correlation method establishing a driving mechanism, in combination with research methods of Kansei engineering, BP neural network and Multi-objective particle swarm optimization, to build the intelligent design system and customization process for the products, realized the product shape customization in multi-drive image. In the end, an example verification was made with the personalized customization of humanoid cartoon stationery. The personalized system for users enrich the consumer experience about designing products,it meets the increasingly urgent individual design needs of consumerst, we consider the design and product as most suitable for the intelligent age.
keywords:multi-image driven  personalized customization  BP neural network  multi-objective particle swarm optimization
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