Variable sequence calculation method containing plurality of spacecraft telemetry parameters

Abstract

The invention provides a variable sequence calculation method containing a plurality of spacecraft telemetry parameters. The method comprises the following steps: firstly, extracting names of all telemetry parameter codes, preparing required telemetry parameter sequences, combining the telemetry parameter sequences, carrying out null value filling processing on the combined telemetry parameter sequences, then calculating variable values according to paraCalStr, finally forming a variable sequence by all the calculated variable values, and filtering a result sequence. According to the method, the problem that a large number of redundant points are introduced through interpolation alignment is solved, the statistical property of the result variable sequence is guaranteed, abnormal data possibly introduced due to the sampling interval time difference of multiple telemetry parameters is avoided, and the accuracy of the calculation result of the variable sequence containing the multiple spacecraft telemetry parameters is improved.

Description

technical field [0001] The invention belongs to the field of spacecraft telemetry data analysis, in particular to a variable sequence calculation method of telemetry parameters. Background technique [0002] When conducting medium- and long-term trend analysis and prediction of spacecraft components, and evaluation and evaluation of performance indicators, it is necessary to use long-term telemetry data sequences. A new variable is calculated by a combination of telemetry parameters, and the value sequence calculation of the long-term interval of the new variable is completed. [0003] At present, the methods of using multiple telemetry parameters to calculate derived variables or compound variables are mostly focused on flexible and scalable configuration methods, but they all complete the calculation of single point values, and the existing multivariate sequences with different time scales There are also two problems in the calculation method: First, the data start and en...

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Problems solved by technology

[0003]Currently, the methods of using multiple telemetry parameters to calculate derived variables or compound variables mostly focus on flexible and scalable configuration methods, but they all complete single-point values At the same time, there are two problems in the existing calculation methods for multivariate sequences with non-uniform time scales: first, the data start and end time periods and sampling intervals of multiple telemetry parameters may be different, and the calculation method is carried out according to the specified time Sampling alignment may introduce a large number of redundant points, which will affect the statistical analysis results of indicator variables; second, there may be large differences in the sampling intervals of multiple telemetry parameters, and the calculation results of variables between the sampling interval differences are not accurate. The impact of some abnormal data

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