State Monitoring of Nuclear Power Connection Sleeve Quality Inspection Equipment Driven by Digital Twin

Authors

• Yandong Nan, College of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, Chin
• Jinda Zhu, College of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
• Xinbin Lu, College of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
• Zhiying Qin, College of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
• Dandan Qi, Hebei Chemical & Pharmaceutical College, Shijiazhuang 050026, China
• Zhiheng Ding, College of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China

Abstract

Abstract: To address the problems of delayed state perception, single monitoring dimension, and insufficient visualization in the quality inspection equipment for nuclear power connection sleeves, a state monitoring method driven by digital twin was proposed. A digital twin-based collaborative state monitoring framework for the inspection equipment was constructed. Based on the OPC UA technology, a multi-source information interconnection model was established. A finite state machine model was employed to discretize and logically drive the inspection process, and a hierarchical verification strategy was proposed to establish a multi-dimensional motion state monitoring mechanism. A surrogate model coupling the radial basis interpolation function and Gaussian process regression was constructed. The experimental results indicate that the proposed method achieves an average motion state anomaly detection accuracy of 98% and an alarm response time of less than 0.5 s. While preserving the fidelity of mechanical data, the computation time is reduced to 0.15 s, achieving an R2 of 0.92 for stress prediction and 0.81 for strain prediction, effectively balancing the accuracy and efficiency of mechanical state monitoring under complex working conditions. This method provides an effective solution to meet the "full inspection and full qualification" requirements for nuclear power containment rebar connection sleeves.

Recommended Citation

Nan, Yandong; Zhu, Jinda; Lu, Xinbin; Qin, Zhiying; Qi, Dandan; and Ding, Zhiheng (2026) "State Monitoring of Nuclear Power Connection Sleeve Quality Inspection Equipment Driven by Digital Twin," Journal of System Simulation: Vol. 38: Iss. 4, Article 12.
DOI: 10.16182/j.issn1004731x.joss.25-0854
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/12

First Page

1004

Last Page

1017

CLC

TP391.9

Recommended Citation

Nan Yandong, Zhu Jinda, Lu Xinbin, et al. State Monitoring of Nuclear Power Connection Sleeve Quality Inspection Equipment Driven by Digital Twin[J]. Journal of System Simulation, 2026, 38(4): 1004-1017.

Corresponding Author

Zhu Jinda

DOI

10.16182/j.issn1004731x.joss.25-0854