PCM system satellite telemetry data classification extraction method and system

Abstract

The invention provides a PCM system satellite telemetry data classification extraction method and system. The PCM system satellite telemetry data classification extraction method comprises the steps that 1, acquiring telemetry frame feature attributes corresponding to telemetry data needing to be processed; obtaining category attributes of the target data needing to be extracted in a classified manner; acquiring a telemetry data input and output file path; 2, reading satellite original telemetry data; 3, carrying out telemetry frame synchronization according to the telemetry frame characteristic attribute corresponding to the telemetry data needing to be processed; After the synchronization is successful, locking a target class telemetry frame according to the class attribute; and step 4,acquiring all or a part of target type telemetry data in the satellite original telemetry data. According to the invention, the problem that different types of telemetry data cannot be classified in the satellite testing process is solved; According to the method and the system, the problem that the PCM system satellite large-data-volume telemetry data is provided for users only needing specific types of telemetry data is solved, the efficient classification of the PCM system satellite large-data-volume telemetry data is realized, and the requirements of users of different satellite subsystemson the efficient analysis and use of the target types of telemetry data are met.

Description

Technical field [0001] The present invention relates to the field of satellite data processing, in particular to a method and system for classifying and extracting PCM system satellite telemetry data. In particular, it relates to a method and system for efficiently classifying and extracting satellite telemetry data based on the PCM telemetry system. Background technique [0002] With the development of satellite development technology, satellite functions continue to be enriched, and satellite telemetry continues to be refined. In addition to real-time telemetry data for real-time transmission, the entire satellite telemetry collection and framing are completed, and the telemetry data will be stored in the corresponding data storage area. Form a variety of storage telemetry data, such as delay telemetry, package telemetry, storage segment telemetry, memory download telemetry, etc., each type of telemetry will be divided into multiple subcategories according to different data sou...

AI Technical Summary

Problems solved by technology

However, the current satellite ground test system only achieves unified reception and processing of telemetry data, and there is no efficient means to classify different types of telemetry data, let alone classify the sub-type telemetry data of the same type of telemetry data in detail. Designers or institutional units provide specific categories of telemetry data required

[0004] In the prior art, satellite system engineering involves many sub-systems, rich functions, large amount of satellite telemetry data and many types, but there is no efficient means to classify different types of telemetry data and provide them to those who only need specific types of telemetry data. Users cannot meet the independence and professional requirements of telemetry data. On the one hand, the efficiency of data analysis is low, and on the other hand, many process resources are wasted.

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