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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.