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Satellite working condition recognition and segmentation method and system based on sensitive parameter multi-evidence fusion

A technology of evidence fusion and sensitive parameters, which is applied in the fields of electrical digital data processing, character and pattern recognition, special data processing applications, etc., can solve the problems of low accuracy and poor robustness of satellite monitoring results, and achieve effective support and elimination The effect of data fluctuation and reducing the influence of false alarm rate

Active Publication Date: 2021-03-09
SHANGHAI SATELLITE ENG INST
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002]Satellite remote parameter data has a strong periodicity. The traditional monitoring technology based on fixed threshold directly analyzes the remote parameter data of all working conditions, which will cause a large number of False alarm phenomenon caused by the conversion, resulting in low accuracy and poor robustness of satellite monitoring results

Method used

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  • Satellite working condition recognition and segmentation method and system based on sensitive parameter multi-evidence fusion
  • Satellite working condition recognition and segmentation method and system based on sensitive parameter multi-evidence fusion
  • Satellite working condition recognition and segmentation method and system based on sensitive parameter multi-evidence fusion

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Embodiment 1

[0053] According to the present invention, a satellite operating condition identification and segmentation method based on multi-evidence fusion of sensitive parameters includes:

[0054] Step M1: Select the satellite N-dimensional working condition sensitive remote parameter set, and preprocess the satellite N-dimensional working condition sensitive remote parameter set, and obtain the satellite N-dimensional working condition sensitive remote parameter set after preprocessing;

[0055] Step M2: threshold mining based on statistical distribution, using the method of histogram statistics to convert the working condition threshold of the preprocessed satellite N-dimensional working condition sensitive remote parameter set;

[0056] Step M3: Form the logic judgment basis of the satellite working condition by combining the conversion threshold with the method of logical combination of evidence;

[0057] Step M4: According to the logic judgment basis of the satellite working condi...

Embodiment 2

[0090] Embodiment 2 is a modification of embodiment 1

[0091] This application aims to propose a satellite working condition identification and cutting method based on multi-evidence fusion of sensitive parameters, aiming at the actual characteristics of satellite multi-parameter coupling, expensive computing resources, and strong data interference fluctuations, with lightweight and interpretable multi-evidence fusion The method completes the accurate identification and cutting of the satellite working condition period, eliminates the frequent false alarm problem caused by the change of the satellite remote parameter distribution caused by the changing working condition, and effectively supports the follow-up satellite data analysis and status monitoring work.

[0092] This application proposes a satellite working condition identification and cutting method based on multi-evidence fusion of sensitive parameters, such as figure 1 shown, which includes:

[0093] The first step...

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Abstract

The invention provides a satellite working condition recognition and segmentation method and system based on sensitive parameter multi-evidence fusion. The method comprises the steps: selecting a satellite N-dimensional working condition sensitive remote parameter set, carrying out the preprocessing of the satellite N-dimensional working condition sensitive remote parameter set, and obtaining a preprocessed satellite N-dimensional working condition sensitive remote parameter set; performing threshold mining based on statistical distribution, and converting the preprocessed working condition ofthe satellite N-dimensional working condition sensitive remote parameter set into a threshold by adopting a straight square statistical method; forming a logic judgment basis of the satellite workingcondition by the conversion threshold through an evidence logic combination method; judging the preprocessed satellite N-dimensional working condition sensitive remote parameter set according to thelogic judgment basis of the satellite working condition, and extracting a target working condition short data set meeting the requirement; and preprocessing the target working condition short data setmeeting the requirements, and removing the working condition time periods which do not meet the preset requirements to obtain an effective target working condition time period set after inspection. According to the invention, effective support for subsequent satellite state monitoring work can be realized.

Description

technical field [0001] The invention relates to the technical field of satellite health status monitoring, in particular to a method and system for identifying and segmenting satellite operating conditions based on multi-evidence fusion of sensitive parameters. Background technique [0002] The satellite remote parameter data has a strong periodic law. The traditional monitoring technology based on fixed threshold directly analyzes the remote parameter data of the whole working condition, which will cause a large number of false alarms caused by the conversion of working conditions, resulting in the accuracy of satellite monitoring results. Low, poor robustness. Reasonable and effective identification of working conditions will have an important impact on the development of follow-up satellite monitoring work. To this end, a working condition identification and cutting technology based on multi-evidence fusion of satellite sensitive remote parameters is proposed. [0003] P...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/2458
CPCG06F16/2468G06F16/2465G06F16/2462G06F18/25
Inventor 党建成周军董房张发家刘赞张国勇蔡先军邹莹
Owner SHANGHAI SATELLITE ENG INST
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