基于卫星地面站天线状态预测的任务再规划

Task Replanning Based on Satellite Ground Station’s Antenna State Prediction

集成运行控制系统(Integrated Operation and Control System,IOCS)是极轨气象卫星地面应用系统的重要系统之一,其主要作用之一是规划多卫星地面站接收任务,确保全球资料的完整获取。当卫星地面站某个天线出现异常或不可用时,若仍按原有的任务规划进行数据接收,将直接造成全球资料的不完整,因此需要研究卫星地面站天线状态的预测和相应的任务再规划技术,从而及时发现和处理卫星地面站的天线异常、降低连续多轨数据接收失败风险,最终达到提高极轨气象卫星数据接收成功率的目的。文章设计了基于统计分析的卫星地面站天线状态预测方法,并研究了对后续系统运行改变最小、易实现和结果可复核的任务再规划方法。

The Integrated Operation and Control System(IOCS) is an important system of the polar-orbiting meteorological satellite ground application system. One of its main tasks is to plan the receiving tasks for multi-satellite ground stations to ensure the complete acquisition of global data. When an antenna of a satellite ground station is abnormal or unavailable, if the data is still received according to the original task plan, it will directly lead to the incompleteness of global data. Therefore, it is necessary to research the antenna state prediction and its task replanning technology so as to timely discover and handle the antenna anomalies of the satellite ground station, reduce the risk of continuous multi-orbit data receiving failure, and finally achieve the goal of improving the success rate of polar-orbiting meteorological satellites’ data receiving. In this paper, an antenna state prediction method for the satellite ground station based on statistical analysis is designed, and the task replanning method with minimum change to subsequent system operation, easy implementation and re-checkable results is studied.