意象驱动的产品形态基因网络模型构建与应用

To improve the efficiency and success rate of product form's innovation design, based on the emotional requirements of customer, a concept of complex networks was introduced, the molding gene grid that related to the product image was targeted built by using the theory and method of protein-protein interaction network construction in bioinformatics field. Based on the scale-free network topology analysis theory, the structure and dynamics of product form gene network were analyzed, and the combination of image target gene and optimal gene in product form gene network were identified and predicted, above which would be as separate-out one for designers to plan designing activities. In the design of automobile side profile as an example, the intelligent interactive design engine based on shape grammar theory was developed, and these separate-out knowledge was utilized to simplify encoding information and optimize the solution sequence, which verified the effective aids of product form gene network driven by images on design.