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图学学报

• 专论:工业设计 • 上一篇    下一篇

基于多视角意象差异性的列车设施造型设计研究

  

  1. 江苏师范大学机电工程学院,江苏徐州 221116
  • 出版日期:2018-08-31 发布日期:2018-08-21
  • 基金资助:
    教育部规划基金项目(18YJAZH123);江苏省教育厅高校哲学社会科学基金项目(2016SJB760052)

On Modeling Design of Train Facilities Based on Differences in Multi-View Visual Images

  1. College of Electrical and Mechanical Engineering, Jiangsu Normal University, Xuzhou Jiangsu 221116, China
  • Online:2018-08-31 Published:2018-08-21

摘要: 提高列车设施造型设计是改善铁路客运质量的重要部分,目前列车设施造型设计
重点主要是功能和结构的改良,旅客的心理需求和视觉体验方面还有较大改善提升空间。解析
意象认知与造型设计相关性的变化,为造型参数的量化研究提供参考。在前期视觉意象与产品
造型关联解析的基础上,从走廊立位、走廊座位、中间座位、靠窗座位4 个不同视角进行实验,
验证不同位置视觉意象的差异性。针对不同视角的意象特点,统计三维样本的实验数据,应用
数量化分析的基本方法,归纳出多视角视觉意象的变化。在数据统计的基础上,结合视觉认知
特点进行分析,解析不同视角与视觉意象中雅致因子、凝静因子、柔润因子及宽和因子与视觉
舒适度的关联机制。

关键词: 多视角, 视觉意象, 内装设施造型

Abstract: To improve the modeling design of train facilities is a significant aspect of improving the
quality of service in rail transportation. At present, the modeling design mainly focuses on the
improvement of its function and structure. Great improvements still need to be made on the
psychological demand and visual experience of passengers. It aims to analyze the relationship
between the visual image and modeling design, and to serve as reference for the quantitative research
of modeling parameters. Accordingly, we verified the difference of visual image in different positions
by doing experiments from four views—on the aisle, aisle seats, middle seats, and window seats. In
the light of the characteristics of different view images, the experimental data of 3D samples are
calculated. The basic method of quantitative analysis is used to make the induction of the changes of
multi-view visual images. The visual image is associated with four main factors including elegance,
stillness, softness, and wideness. On the basis of statistics, combined with the analysis of visual
cognitive characteristics, the correlative mechanism between the four factors and visual comfort in
different views can be analyzed.

Key words: multi-view, visual image, modeling design of inner facilities