Satellite telemetry data automatic monitoring and interpretation method and system thereof

Abstract

The invention provides an automatic monitoring and interpretation method for satellite telemetry data. The method comprises the following steps: after satellite telemetering data are analyzed, performing threshold judgment on satellite telemetering, judging a satellite telemetering state, and if the satellite telemetering is not in a threshold range of all states, giving an alarm state 0 by the satellite telemetering; when the satellite has no remote control instruction, judging whether the satellite telemetering state conversion relation is normal or not according to a normal monitoring state machine, and if the satellite telemetering state conversion relation is abnormal, giving an alarm state 1; and when the satellite executes the remote control instruction, setting a satellite execution period, carrying out combined judgment on the satellite telemetering state according to the normally-monitored state machine and the instruction state machine in the instruction execution period, and giving an instruction alarm state 2 if the conversion of the satellite telemetering state is abnormal. According to the invention, the problems of complex relation real-time judgment and satellite telemetering fault alarm of existing satellite telemetering data are solved, the faults of a satellite comprehensive test and an in-orbit flight stage are found in time, and the satellite telemetering fault processing efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of spacecraft testing, in particular to a method for automatic monitoring and interpretation of satellite telemetry data and a system thereof. Background technique [0002] With the development of my country's satellite industry in recent years, satellite testing tasks continue to increase, and the amount of satellite telemetry information continues to increase. The traditional method of manual interpretation by testers can no longer meet the growing needs of satellite tasks, and the demand for automatic interpretation of satellite telemetry is increasingly urgent. . In existing satellite projects, comprehensive testing accounts for one-third of the entire development process, or even more. Satellite comprehensive testing takes a long time and heavy tasks, consuming a lot of manpower and material resources. With the acceleration of satellite engineering and standardization, satellite comprehensive testing h...

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Problems solved by technology

[0003] After retrieval, the patent document CN104915568B discloses a DTW-based satellite telemetry data anomaly detection method, which combines the K-Nearest Neighbor (KNN) classification algorithm and the satellite telemetry data historical multidimensional time series to perform anomaly detection on the latest telemetry time series. Through the strategy of cluster analysis, the satellite telemetry data is segmented and clustered, and the satellite abnormality alarm caused by the abnormal parameter not exceeding the alarm threshold is solved, but the disadvantage is that it cannot solve the problem of abnormal conversion of the satellite telemetry state.

The disadvantage of this prior art is that this method needs to define a judgment rule for each telemetry data, and edit and input the rules. The expression and entry of the rules are cumbersome. This rule-based satellite telemetry data analysis system is only suitable for small-scale satellites. Telemetry interpretation, due to the large number of satellite telemetry parameters and the huge amount of data, this method is not very practical for real-time interpretation of satellite telemetry

The disadvantage of this method is that it is only suitable for the analysis of satellite data and cannot solve the problems of real-time interpretation and automatic monitoring of satellite telemetry data.

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