Automobile taillight shape design evaluation and prediction method

A technology for automotive taillights and forecasting methods, applied in computer-aided design, calculation, special data processing applications, etc.

Inactive Publication Date: 2019-07-09
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are few studies in the industry on the shape design of automobile taillights. The current taillight design process still depends on the designer's own experience and preference, and there are many subjectivities and uncertainties.

Method used

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  • Automobile taillight shape design evaluation and prediction method
  • Automobile taillight shape design evaluation and prediction method
  • Automobile taillight shape design evaluation and prediction method

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Embodiment Construction

[0059] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0060] Explanation of technical terms:

[0061] Multiple regression analysis: refers to treating one variable as a dependent variable among related variables, and one or more other variables as independent variables, establishing a linear or nonlinear mathematical model quantitative relationship between multiple variables and using sample data for analysis method of statistical analysis.

[0062] Principal component analysis: refers to the statistical method that combines the original variables into a new set of several unrelated comprehensive variables, and at the same time extracts a few less comprehensive variables according to actual needs and reflects the ...

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Abstract

The invention provides an automobile taillight shape design evaluation and prediction method which comprises the following steps: collecting automobile taillight shape perceptual intention vocabularies oriented to consumers based on a semantic difference method and a Like scale; defining the shape category of the automobile taillight based on the similarity and proximity principle in the Grignardpsychology; establishing a stepwise regression equation by taking the shape category of the automobile taillight as an independent variable xj and taking the average value of the perceptual meaning words of the shape of the automobile taillight as a dependent variable; performing principal component analysis; and carrying out correlation analysis and supplement on the data obtained in the processes of the two assessment methods in the above steps, and providing an automobile taillight shape design strategy. The taillight design can be more comprehensively and effectively evaluated, and a taillight design strategy can be predicted and put forward.

Description

technical field [0001] The invention relates to the field of automobile taillight design, in particular to a method for evaluating and predicting the shape design of the automobile taillight. Background technique [0002] In the highly competitive automotive industry market, the visual shape parameters and exterior aesthetics of a car become one of the important factors for commercial success. Automobile taillight is one of the important components of the car body, which affects the overall aesthetics of the car, and the design of the taillight has attracted the attention of the automotive industry. There are few studies on the shape design of automobile taillights in the industry. The current taillight design process still depends on the designer's own experience and preference, and there are many subjectivities and uncertainties. Contents of the invention [0003] The purpose of the embodiments of the present invention is to provide a method for evaluating and predictin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/15
Inventor 林欢罗仕鉴应放天朱琛易慧敏丁红传
Owner ZHEJIANG UNIV
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