现代应用物理2026，Vol.17Issue(4)：58-75,18.DOI:10.12061/j.issn.2095-6223.202605034
大型脉冲功率系统数字孪生关键技术及应用展望
Key Technologies and Application Prospects of Digital Twin for Large-Scale Pulsed Power Systems
摘要
Abstract
Large-scale pulsed power systems for fusion energy applications are typically designed using a modular architecture that decomposes the system into numerous independent units.For facilities consisting of hundreds of thousands of discharge units,traditional manual troubleshooting and maintenance become impractical,while unit-level fault monitoring systems relying solely on sensor data are prohibitively costly and highly complex for large-scale engineering applications.By integrating the physical principles governing system operation with limited condition-monitoring data,digital twin technology enables multidimensional state perception and intelligent operation and maintenance of complex equipment.To address the long-term reliability requirements of large-scale engineering pulsed power systems,this paper proposes a practical digital twin framework based on the classical five-dimensional model.The recent progress in related key technologies is systematically reviewed,including hierarchical geometric information modeling,multiscale and multiphysics simulation,physical entity data acquisition and management,operational state perception and fault diagnosis,as well as health assessment and lifetime prediction of critical components.The proposed framework provides a relatively comprehensive theoretical reference for the future engineering implementation of digital twins in large pulsed power systems.Finally,the potential applications of digital twin technology in the design,operation,inspection,and maintenance stages of large pulsed power systems are discussed.关键词
脉冲功率系统/数字孪生/直线变压器驱动源/聚变能源/可靠性/全生命周期管理Key words
pulsed power system/digital twin/linear transformer driver/fusion energy/reliability/health assessment and lifetime prediction分类
信息技术与安全科学引用本文复制引用
刘志刚,叶高奇,李乐乐,雷金洋,王振宇,石桓通,吴坚,李兴文..大型脉冲功率系统数字孪生关键技术及应用展望[J].现代应用物理,2026,17(4):58-75,18.基金项目
陕西省"一校一策"后补助项目(2025YXYC047) （2025YXYC047）
中央高校基本科研业务费专项资金资助项目(xtr072024038) （xtr072024038）
博士创新人才支持计划资助项目(BX20240279) （BX20240279）
