Abstract: Against the backdrop of the National Health Commission's plan to vigorously develop smart hospital construction, a medical equipment management system based on digital twins is designed and implemented to address the problems of difficult maintenance, high maintenance requirements, and high maintenance costs of large medical equipment in children's hospitals. Taking CT equipment as an example, the system collected the main calibration parameters such as the position of the CT instrument's rotation center in the square tray through the equipment's built-in interface and sensors, and used tools such as SolidWorks for visualization modeling. As the physical entity collects twin data, it was displayed in real time on the frontend. To address the high confidentiality requirements for medical data, CRYSTALS-KYBE was used for data encryption during the data transmission process to ensure the reliability of data transmission. To improve data integrity and the convenience of fault query, a cloud-based fuzzy query was designed. The real-time interaction between the twin and the physical entity and the data review and query function were achieved. Currently, the system has been put into practical operation in children's hospitals, verifying the reliability of the system and effectively improving the probability of fault detection and maintenance in hospitals, while reducing hospital operating costs.