Method, system and medium for classification and extraction of satellite telemetry packets in ccsds system

Abstract

The invention discloses a method, system and medium for classifying and extracting satellite telemetry packets in the CCSDS system, including: step 1: obtaining the characteristic attributes of the telemetry frame structure defined by the satellite model and the characteristic attributes of the telemetry packet structure; The telemetry frame category attribute to which the target telemetry package belongs and all target telemetry package category attributes; Step 3: Obtain the input and output file path; Step 4: Read in the original satellite telemetry data according to the obtained input and output file path, and initialize the current file processing location is the starting position of the telemetry data; step 5: lock a telemetry frame; step 6: lock the target category telemetry frame. The present invention aims at satellite models adopting the CCSDS subpackage telemetry system, combines automatic and generalized design based on configurable parameters, and adopts a rigorous judging algorithm for irregular cross-frame telemetry packets to realize the high efficiency and accuracy of telemetry data analysis , Comprehensiveness.

Description

technical field [0001] The invention relates to the technical field of satellite data processing, in particular to a method, system and medium for classifying and extracting satellite telemetry packets in the CCSDS system. In particular, it relates to a method for efficiently classifying and extracting telemetry packets in satellite telemetry data based on the CCSDS telemetry system. Background technique [0002] A telemetry frame is the standard unit of transmission for satellite telemetry data transmission to the ground. The satellite telemetry data using the CCSDS sub-packet telemetry system is collected by the satellite satellite service system from the corresponding interface to form a telemetry packet, and then the telemetry packet is continuously inserted into the telemetry frame, and finally a complete telemetry frame is formed. down to the ground. [0003] Telemetry packets are identified and differentiated based on the source of the packet data. With the develop...

AI Technical Summary

Problems solved by technology

The ratio of the data volume of the front and rear parts of the cross-frame packet is irregular, and the existing manual analysis methods cannot directly search and analyze these irregular cross-frame packets, which will cause data omission

[0005] To sum up, the existing manual analysis methods for telemetry packet data are not only inefficient, but also cause data omission, which cannot meet the current needs of efficient, accurate and comprehensive analysis of telemetry data.

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