In helicopter manufacturing, traditional manual assembly has faced constraints in both consistency and efficiency. Whereas robots possess the advantages of speed and accuracy, making human-robot collaboration a potential solution to boost helicopter industry. Conventional assembly process design approaches, which rely heavily on personal experience, have struggled to adapt to the evolving manufacturing paradigms, thereby impeding the efficient implementation of human-robot collaborative assembly. In this work we propose a structured representation of manufacturing data and process knowledge. Further, we construct a prototype of intelligent process design system, which precisely caters to human-robot collaboration. Through structured modeling of assembly process knowledge, this system is capable of recommending equipment selections and process parameters. Additionally, we propose a human-robot collaborative riveting process by designing reasonable working interface. As exemplified through the human-robot collaborative riveting process, we validate the effectiveness of proposed process design system in quantitative experiments.