A Design Knowledge Management Method for Car Cockpit Based on Hidden Markov Model

Abstract

Digital Twin, big data, cloud services and artificial intelligence are subverting the existing automobile design and manufacturing industry process, and making it develop in the direction of Agility, digitization and intelligence. However, limited by the differences in the design level of individual designers and the complexity of design activities, it is difficult to improve the efficiency of automobile design in design process. This study analyzed the characteristics of the car cockpit design knowledge and studied the expression pattern of the cockpit design knowledge, and then applied the knowledge mapping method to form the knowledge feature after car cock-pit design knowledge modeling. Finally, a knowledge management method for cockpit collaborative design based on the Hidden Markov Model (HMM) was proposed. This method introduced the history design knowledge of existing automotive cockpit cases into the design and solution of new project design problems. The research result proved that this method can help automobile designers quickly retrieve the design information needed for product design and process management, thus greatly improving design efficiency.