基于数字孪生的装甲装备故障与健康管理参数优化平台研究

Design of prognostics and management parameter optimization framework based on digital twinning

针对故障预测与健康管理(prognostics and health management,PHM)系统的可靠性和指标参数优化问题,提出五维数字孪生(digital twin,DT)模型和智能体方法对基于PHM系统的装甲装备保障进行仿真建模。为提高PHM系统的效率和精度,利用五维数字孪生模型驱动装甲装备的PHM系统,将物理实体与虚拟模型进行数据融合。使用智能体技术对DT模型中装甲装备的复杂系统结构和装甲装备的等待、训练以及维修等物理行为进行刻画。利用仿真实验验证了系统的有效性和合理性,综合装甲装备完好性、任务成功性等系统权衡指标优化了PHM系统整体指标参数。

Aiming at the reliability and index parameter optimization of the prognostics and health management(PHM)system, we proposed the five-dimensional digital twins(DT) model and Agent method which is used to simulate the support of equipment based on PHM system. In order to improve the precision and efficiency of the system, five-dimensional DT is used to drive the system, and achieved the data fusion of physical entity and virtual model. Agent technology is used to describe the complex system structure of equipment and the physical behavior of equipment such as waiting, training and maintenance in DT model. The intact rate, mission success rate and other system trade-off index of equipment calculated by simulation experiments are used to optimize the input index parameters of the PHM system. Besides, the above trade-off indexes verify the effectiveness and rationality of the PHM system.