Abstract: To address the challenges of lengthy processes and complex design in ring rolling，a full-process database for ring rolling technology was designed and developed，incorporating functionalities such as data template customization，data analysis，image recognition，and material card generation. Functional tests were conducted for rapid microstructure image quantification and batch material card generation for ring rolling simulations. The U-Net model was trained and validated on a microstructure image dataset of a ring-rolled material to confirm the usability of the deep learning and image recognition modules. Additionally，automated material card fitting based on material data and subsequent ring rolling simulations using the generated cards verified the database’s capability to provide reliable inputs for finite element analysis.