遥测数据能够反映卫星在轨运行过程中的性能和状态,针对卫星遥测数据变化趋势不易判断这一问题,提出了基于RBF神经网络预测模型对遥测数据进行中长期趋势预测的思想。仿真实验结果分析表明,该方法预测精度高,符合卫星遥测数据中长期预测要求,能够对卫星遥测数据中长期趋势起到提前预报作用,为指挥人员与控制中心进行实时决策提供科学依据。 Telemetry data can reflect the performance and status of satellites in orbit. In order to solve the problem that satellite telemetry data is difficult to judge, this paper proposes the idea of ​​long-term trend prediction of telemetry data based on RBF neural network prediction model. The simulation results show that this method has high prediction accuracy and meets the long-term prediction requirements of satellite telemetry data. It can predict the long-term trend of satellite telemetry data in advance and provide a scientific basis for real-time decision-making of commanders and control centers.