Research on an intelligent fan cultural sustainability design method based on CPO-CNN-LSSVM

Abstract

The integration of intangible cultural heritage (ICH) into innovative products is a key focus in the intersection of culture and technology. This study addresses the core challenge of balancing cultural authenticity with functional requirements in smart home systems, using the household smart fan as a case study centered on Miao ethnic culture. To this end, we developed a hybrid methodology: the Fuzzy Analytic Hierarchy Process (FAHP) was first applied to quantify user emotional needs and Miao cultural style weights. Fuzzy Quality Function Deployment (FQFD) then translated these needs into critical design features. Finally, the Crested Porcupine Optimizer-Convolutional Neural NetworkLeast Squares Support Vector Machine (CPO-CNN-LSSVM) algorithm was employed to model the complex, nonlinear relationships and predict optimal design solutions. Our results demonstrate that this integrated approach effectively identifies culturally significant design features that align with user emotions, ensuring that products meet functional demands while embodying cultural value. The proposed framework offers a sustainable and systematic pathway for cultural inheritance through smart product innovation.