PCM system satellite telemetry data classification extraction method and system

A technology of satellite telemetry data and telemetry data, applied in the field of satellite data processing, can solve problems such as waste of resources, inability to classify telemetry data into subcategories, failure to meet the requirements of independence and professionalism of telemetry data, and achieve the effect of efficient classification and extraction

Active Publication Date: 2019-05-31
SHANGHAI SATELLITE ENG INST
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 involve...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • PCM system satellite telemetry data classification extraction method and system
  • PCM system satellite telemetry data classification extraction method and system
  • PCM system satellite telemetry data classification extraction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0106] See image 3 , Step S801: Obtain the telemetry frame characteristic attributes defined by the satellite model corresponding to the telemetry data to be processed, including four basic parameters: telemetry frame synchronization word, telemetry frame length, offset position of telemetry frame identifier, and telemetry frame identifier length .

[0107] Step S802: Obtain the category attributes of one or more target telemetry data extracted by the required classification, including the telemetry category identifier and the telemetry category name.

[0108] Step S803: Obtain the input and output file path, including the original telemetry data file path that needs to be classified and extracted, and the storage path of the classified target telemetry data.

[0109] Step S804: Read in the original satellite telemetry data, and initialize the starting position of the telemetry data as the current processing position.

[0110] Step S805: Lock one telemetry frame. First, start at the...

Embodiment 2

[0116] See Figure 4 , Step S901, initialize the telemetry frame characteristic parameters defined by the satellite model, and acquire the telemetry frame synchronization word, telemetry frame length (ZLen), offset position of the telemetry frame identification word, and telemetry frame identification word length of the satellite model. parameter.

[0117] Step S902: Initialize the feature identifier of the target telemetry category, and obtain the category attributes of one or more target telemetry data extracted by the required classification, including the telemetry category identifier and the telemetry category name.

[0118] Step S903: Initialize the original satellite telemetry data input and output path, including the original satellite telemetry file path and the storage path of the target category telemetry data file extracted by classification.

[0119] Step S904, read in the original satellite telemetry data according to the path of the original satellite telemetry file, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/13G06F16/16G06K9/62
Inventor 闫蕾董房徐锡杰李伟强
Owner SHANGHAI SATELLITE ENG INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products