目的 旨在帮助设计人员把握产品色彩属性与用户意象感知间潜在联系，提高产品色彩设计效率。方法 采用多维统计及聚类分析获取PCCS色彩体系下的代表性色彩样本与语汇样本，并设置色彩语义量化实验获取色彩在各语汇尺度上的意象评值。以获取的评值量化数据为基础结合灰色关联分析，通过色彩转置在Lab均匀色彩空间中建立产品的色彩设计评价模型。结果 以双色儿童玩具车为对象进行产品色彩设计实践，构建的色彩设计评价模型良好达成了产品色彩方案的用色筛选、确认及评价优选等目标。结论 结合灰色关联分析，在PCCS色彩体系下构建的产品色彩设计评价模型能够有效提升产品方案的色彩设计效率，并对产品色彩方案的优选给出直观准确的参考标准。

The work aims to help designers grasp the potential connection between product color attributes and user image perception, and improve the efficiency of product color design. Multi-dimensional statistics and cluster analysis were used to obtain representative color samples and vocabulary samples under the PCCS color system, and color semantic quantification experiments were set up to obtain image ratings of color on various vocabulary scales. Based on the obtained evaluation value quantitative data combined with grey relational analysis, the color design evaluation model of the product was established in the Lab uniform color space through color transposition. Taking the two-color children's toy car as the object for product color design practice, the constructed color design evaluation model achieved the objectives of color screening, confirmation, evaluation and optimization of product color schemes. Combined with grey relational analysis, the product color design evaluation model constructed under the PCCS color system can effectively improve the color design efficiency of the product scheme, and provide an intuitive and accurate reference standard for the optimization of the product color scheme.