Chen Lu*, Zhu wei
School of Physics Science and Technology , Lingnan Normal University, Zhanjiang, 524048, China
*Corresponding Author: [email protected]
The culture of “Lei Zhou Stone Dog” in the western part of Guangdong Province, China, is a precious heritage of local folk customs. Based on this, this paper will discuss the innovative design method of the museum's cultural and creative products. Use the Semantic Difference (SD) method to get the perceptual image score of the target consumer group, code the modeling characteristics of stone dog, use the genetic algorithm to select, cross and mutate the process, and simulate the process of product modeling evolution. Taking electric kettle as an example, the shape description of the product after evolution has higher adaptability than before. Through the use of perceptual image modeling design experiments and interactive genetic algorithms, it has been verified that there are many ways and methods for the optimal design of museum cultural creative products.
Cultural creative products, Regional culture, Genetic algorithm, Electric kettle
Chen Lu, Zhu wei. Research on the Modeling Design of Cultural Creative Products of “Leizhou Stone Dog”. International Journal of New Developments in Engineering and Society (2020) Vol.4, Issue 1: 226-235. https://doi.org/10.25236/IJNDES.040131.
 AN Lai-shun, PAN Sou-yong, Lu Jun, etc(2014). Experts' conversation by writing: museum collections make connections. Southeast Culture, no.3,p.11-25.
 YI Ping, ZHANG Qing-fen(2018). Reverse thinking in the design of museum cultural and creative products. Research on Design Art, no.6, p.97-100.
 DENG Xian-zhi(2012). Interactive genetic algorithm based method for product shape design. Modern Manufacturing Engineering, no.5,p.55-59 .
 YANG Bo-chao, DING Hua, LI Li-juan(2016). Appearance design of coal cutting machine based on interactive genetic algorithm. Coal Engineering, no. 4, p.132-134,138.
 LUO Shi-jian, DONG Ye-nan(2017). Classifying cultural artifacts knowledge for creative design. Journal of Zhejiang University (Engineering Edition), no.1 , p.114-123.
 WANG Wei, LI Fang-yu(2019). Research on the local cultural design of cultural products--a case study of chengdu museum. Design, no.03, p.139-141.
 WANG Xue-jie, XIAO Wang-qun(2016). Research on modeling design of industrial robot based on perceptual image. Journal of Machine Design, no.08, p.117-120.
 LUO Shi-jian, PAN Yun-he(2007). Review of theory, key Technologies and its application of perceptual image in product design. Journal of Mechanical Engineering, no.03, p.8-13.
 DU Juan, ZHENG Feng(2019). Research progress of kansei image design method and application. Journal of Machine Design, no.03, p.124-128.
 Jian Sun(2002). A framework for supporting generative product design using genetic algorithms: Ph D thesis. School of Design. The Hong Kong Polytechnic University.
 ZHANG Wen-quan, ZHAO Jiang-hong(2007). Study on Audi Brand Form Gene, Packaging Engineering , no.4, p.84-87.
 JU Yun-he(2008). Cultural characteristics and modeling methods of Leizhou stone dog sculpture, Art Research, no.04, p.103-106.
 ZHANG De-feng(2018). MATLAB R2017a artificial intelligence algorithms. Beijing: Electronic Industry Publishing House, 251-256.