Telemetry Storage Method Based on Redundancy Elimination

Abstract

The invention discloses a telemetry storage method based on the redundancy elimination. The analysis and storage of telemetry data can be complemented through the parallel operations of analyzing telemetry frames into telemetry packets, diving the telemetry packets into task packets and analyzing the telemetry packets. Satellite configuration information and telemetry data are stored in a local database; the method includes storing the telemetry frames and the telemetry packets into the local database, analyzing and dividing the telemetry frames into multiple telemetry packets according to the configuration information, and storing the telemetry frames and the telemetry packets into the local database; then analyzing and dividing the telemetry packets into multiple task packets; finally completing the packet analysis of the task packets in the determined range, and analyzing the telemetry packets as telemetry parameters and storing into the local database. Identification and redundancy elimination are performed before and after telemetry packet analysis respectively, repeating data storage is reduced, and the purpose of saving storage space is achieved.

Description

technical field [0001] The invention relates to a method for storing satellite telemetry parameters. Background technique [0002] Telemetry data is the data that various measured information on the satellite is transformed by sensors, collected and arranged, and then transmitted to the ground through wireless channels. Each satellite needs to transmit up to several thousand telemetry parameters, which directly reflect the working status and health of all the equipment on board the satellite. In the process of satellite electrical performance testing, designers mainly judge the status of satellites through telemetry data. [0003] Due to the limitations of traditional test mode data storage and application, there is a lack of unified and comprehensive analysis of test data (history), and the utilization rate of test history data is not high. Accidental or inevitable connection, so the test depth and breadth are limited. Therefore, it is extremely important to use a histor...

AI Technical Summary

Problems solved by technology

The large data capacity is also the main reason for the slow speed of data query statistics and slow graphics processing

[0005] The study found that although each satellite needs to transmit up to several thousand telemetry parameters per second, in a steady state, the values ​​of most telemetry parameters remain unchanged, or the first-order difference range does not exceed 3 telemetry hierarchical values, and the storage level There is a lot of duplicate data on

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