This study constructed a knowledge graph based on aerospace human factors evaluation data and realized its visualization. During the construction process, deep learning models were utilized to identify entities and relationships, while knowledge fusion techniques were employed to enhance the quality of the knowledge graph. Additionally, a graph database was selected for storing the knowledge graph to effectively represent complex entity relationships. In terms of application, the knowledge graph enabled the visualization, search and question-answering functionalities for aerospace human factors evaluation information. Overall, the application of the aerospace human factors evaluation knowledge graph and related technologies provided effective support for astronautics ergonomics evaluation tasks while laying a foundation for research on knowledge graphs in the aerospace domain.