An online automated evaluation system for nuclear fuel rod weld seam inspection

An online automated assessment system was created and put into use to meet the high efficiency and high precision requirements for the quality inspection of nuclear fuel rod welds. This system combines cutting-edge AI technology with a B/S architecture to provide intelligent fuel rod weld analysis, management, and real-time image capture. To ensure operational convenience and system stability, the backend is built on Docker and Spring Cloud, while the frontend uses the Electron.js, React, and Ant Design frameworks. By integrating AI models, the system can effectively identify weld defects, enhancing inspection accuracy and production efficiency. The successful implementation of this system provides strong support for the safe operation of nuclear power plants and quality control in the nuclear energy industry, laying a solid foundation for the future development of automated inspection technology.