基于意象认知的无人机参数化设计研究
Research on Parametric Design of UAV Based on Image Cognition

为解决无人机色彩参数与用户意象认知间关系模糊的问题，运用感性工学技术及数理统计分析方法将用户对无人机色彩意象实施参数化处理，辅助设计师进行设计。首先，运用控制变量法控制相同造型改变不同色彩要素建立无人机色彩样本域；接着，运用多元尺度法联合k-means法创建色彩意象域；然后将建立的无人机样本域及意象域构建色彩感性域，并展开语义差异评价实验；最后，通过数量化I类分析关键色彩要素及用户意象间对应关系。通过验证样本进行模型的有效性验证，结果显示无人机色彩样本的预测值和实验值的相关系数均大于0.7，且所有样本的显著性均小于0.05，表明有显著相关性。通过计算机辅助无人机设计应用，从实际设计应用角度证实本方法能够有效实现无人机参数化色彩意象设计，为客观性设计提供理论支撑。
In order to solve the relationship between UAV color parameters and user image cognition, Kansei engineering technology and mathematical statistical analysis method were used to parameterize user’s UAV color image to assist designers in design. Firstly, the control variable method is used to control the same shape and change different color elements to establish the UAV color sample field. Then, multiple scale method and K-means method are used to create color image domain. Then, the UAV sample domain and image domain were constructed to construct color perceptual domain, and the semantic difference evaluation experiment was carried out. Finally, the corresponding relationship between key color elements and user images is analyzed by quantitative I. Validation samples were used to verify the validity of the model. The results showed that the correlation coefficients between predicted value and experimental value of UAV color samples were all greater than 0.7, and the significance of all samples was less than 0.05, indicating a significant correlation. Through the application of computer-aided UAV design, it is proved that this method can effectively realize the parametric color image design of UAV from the perspective of practical design and application, which provides theoretical support for the objective design.