【摘要】 信息技术与人工智能的显著进步，使得数字孪生获得了越来越多的关注，因为它提供了一种航天器设计方案评估，优化和可靠性分析的方式。本文建立了一种多粒度数字孪生模型，提出了一种多粒度比对与修正的方法，通过划分模型粒度，按照粒度由粗到细，逐粒度比对迭代修正数字孪生模型。通过北斗M5的真实在轨遥测数据挖掘，实现了数字孪生模型的比对与修正。结果表明，本文使用的分层比对方法可以用在北斗M5卫星的数字孪生模型上，取得了较好的效果。更多还原

【Abstract】 With the significant progress of information technology and artificial intelligence,digital twin has attracted more and more attentions because it provides a way of spacecraft design scheme evaluation,optimization and reliability analysis. In this paper,a multi-granularity digital twin model is established,and a multi-granularity data comparison and model updating method is proposed. By dividing the model granularity,the digital twin model is iteratively updated according to the granularity from coarse to fine. Through the real onboard orbit telemetry data of BeiDou M5,the data comparison and model updating of BeiDou M5 digital twin model are realized. The results show that the layered comparison method used in this paper can be applied to the digital twin model of BeiDou M5 satellite and achieved good results.更多还原