Research and Application of 3d Visualization Digital Twin System for Ultrasonic Testing of Key Equipment in NPP

The internal conditions and surface defects of key equipment in nuclear power plant (NPP) are mainly detected though non-destructive testing (NDT) technology, which is the key basis for maintenance and diagnosis of nuclear power main equipment. At present, there are many types and huge quantities of NDT data. Due to the lack of unified information management means, it depends more on personal skills and experience. On the other hand, discrete data files and 2D detection data can’t provide the staff with intuitive and stereoscopic visual effects, which affects the prediction and analysis of the staff to a certain extent. In view of the above problems, this paper deeply analyzes the characteristics of nuclear power NDT data, and proposes a 3D visualization method for ultrasonic defects of NPP reactor pressure vessel (RPV) based on digital twin. It also forms a 3D visualization digital twin system, which overlays and maps the 3D digital model of RPV with the reconstructed 3D defects, while providing the necessary 3D interaction. Through the research results of this paper, the digital and intelligent management methods of NDT data in NPP have been improved, and an outstanding 3D basis for prediction and analysis of NDT defects in NPP has been provided.