• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (15): 150-159.doi: 10.3901/JME.2018.15.150

• 数字化设计与制造 • 上一篇    下一篇

产品形态审美综合评价的非线性信息动力学模型

周爱民1,2, 苏建宁2, 阎树田1, 欧阳晋焱2, 石程2, 郁王白云2   

  1. 1. 兰州理工大学机电工程学院 兰州 730050;
    2. 兰州理工大学设计艺术学院 兰州 730050
  • 收稿日期:2017-10-29 修回日期:2018-03-20 出版日期:2018-08-05 发布日期:2018-08-05
  • 通讯作者: 苏建宁(通信作者),男,1974年出生,博士,教授,博士研究生导师。主要研究方向为工业设计、感性工学、智能设计。E-mail:sujn@lut.cn*
  • 作者简介:周爱民,男,1978年出生,博士研究生,副教授。主要研究方向为感性工学、智能设计。E-mail:51289547@qq.com
  • 基金资助:
    国家自然科学基金资助项目(51465037)。

Nonlinear Information Dynamics Model of Synthetic Evaluation on Product Form Aesthetic

ZHOU Aimin1,2, SU Jianning2, YAN Shutian1, OUYANG Jinyan2, SHI Cheng2, YUWANG Baiyun2   

  1. 1. School of Mechanical & Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050;
    2. School of Design Art, Lanzhou University of Technology, Lanzhou 730050
  • Received:2017-10-29 Revised:2018-03-20 Online:2018-08-05 Published:2018-08-05

摘要: 为了客观、定量地评价产品形态美度,从系统演化的角度,提出了一种审美综合评价的模型。依据形式美学与完形心理学原理,构建出由15个产品形态美度指标组成的评价体系,获得系统演化的信息体;基于最大流原理建立了产品形态审美综合评价的非线性信息动力学模型,各美度指标通过自组织进化得到合适的权值,使系统趋于稳定,从而实现产品形态美度的综合评价。运用自组织特征映射网络实现模型的模拟,对九个汽车前脸样本进行审美综合评价实例研究,结果与网络大数据对比分析,验证了模型的有效性。

关键词: 产品形态, 美度, 自组织特征映射网络, 综合评价, 最大流原理

Abstract: The nonlinear information dynamic model of synthetic evaluation is proposed for objectively and quantitatively evaluating the product form aesthetics from the perspective of system evolution. According to the principle of formalist esthetics and gestalt psychology, the evaluation system composed of 15 aesthetic measure indexes is established, and the information elements of system evolution are obtained. Based on maximum flux principle, the nonlinear information dynamic model of synthetic evaluation on product form aesthetic is set up. The system would be stable after the appropriate weightes of aesthetic measure indexes are given by self-organized and self-evolved. Then the comprehensive evaluation of product form aesthetic is realized. The model is simulated by self-organizing feature mapping. It is applied to synthetically evaluate the aesthetic measure of nine automobile face samples, and the results is contrasted with the big data of network evaluation, then the validity of model is verified.

Key words: aesthetic measure, maximum flux principle, product form, self-organizing feature mapping, synthetic evaluation

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