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An optimization method and device based on satellite timing correlation algorithm
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A technology of time series association and optimization method, applied in relational databases, computing, structured data retrieval, etc., can solve problems such as mixed rules, and achieve the effect of reducing the number of
Active Publication Date: 2021-11-16
KEY & CORE TECH INNOVATION INST OF THE GREATER BAY AREA +1
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[0008] The embodiment of the present invention provides an optimization method and device based on the satellite timing correlation algorithm to solve the problem of mixed rules excavated in the satellite timing correlation algorithm and reduce the number of meaningless rules mined
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Embodiment 1
[0066] see Figure 2 to Figure 7 , according to an embodiment of the present invention, a kind of optimization method based on satellite timing correlation algorithm is provided, comprising the following steps:
[0067] S101: Obtain preprocessed satellite time series data, and input the satellite time series data into a correlation analysis algorithm;
[0068] S102: The association relationship analysis algorithm is based on the satellite time series data, and performs knowledge mining on multiple time series in the satellite time series data, so as to mine frequent patterns between the sequences;
[0069] S103: Optimizing the frequent patterns among the excavated sequences, screening out more relevant frequent patterns, and deleting meaningless frequent patterns.
[0070] In the optimization method and device based on the satellite timing correlation algorithm in the embodiment of the present invention, the method includes: acquiring the preprocessed satellite timing data, a...
Embodiment 2
[0126] see Figure 5 , according to another embodiment of the present invention, an optimization device based on satellite timing correlation algorithm is provided, including:
[0127] The data acquisition module 100 is used to acquire preprocessed satellite time series data, and input the satellite time series data into the correlation analysis algorithm;
[0128] The algorithm mining module 200 is used for correlation analysis algorithm to carry out knowledge mining on multiple time series in the satellite time series data based on the satellite time series data, so as to dig out the frequent patterns between the sequences;
[0129] The pattern optimization module 300 is configured to optimize frequent patterns among the excavated sequences, screen out more relevant frequent patterns, and delete meaningless frequent patterns.
[0130] In the optimization method and device based on satellite time-series correlation algorithm in the embodiment of the present invention, the de...
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Abstract
The present invention relates to the technical field of computer software, and in particular to an optimization method and device based on a satellite timing correlation algorithm. The method includes: acquiring preprocessed satellitetiming data, and inputting the satellitetiming data into the correlation analysisalgorithm; Based on the satellite time series data, the analysis algorithm performs knowledge mining on multiple time series in the satellite time series data to find out the frequent patterns between the sequences; optimize the frequent patterns between the mined sequences and screen out more relevant frequent patterns. pattern, delete meaningless frequent patterns. Mining the frequent patterns between sequences from the satellite time series data, and optimizing the frequent patterns between the excavated sequences, deleting meaningless frequent patterns, in order to solve the problem of mixed rules mined in the satellite time series correlation algorithm, a large number of Reduce the number of meaningless rules mined in satellite timing correlation analysis algorithm.
Description
technical field [0001] The present invention relates to the technical field of computer software, in particular, to an optimization method and device based on a satellite timing correlation algorithm. Background technique [0002] With the continuous development of the commercial aerospace industry, the safe operation of satellites in orbit has become a research hotspot. The parameters transmitted by satellites to the ground through sensors are time-series data with many types and large quantities. By analyzing the relationship between telemetry parameters, the change trend of parameters in a short period of time can be predicted; or through the abnormal change trend of a certain parameter, the satellite parameters that caused the abnormal change can be traced to provide reliable information for the safe and stable operation of satellites. policy support. [0003] The rules mined based on the existing satellite timing correlation algorithm are quite mixed. Within the time...
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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/28
CPCG06F16/2465G06F16/284
Inventor 郝锐陈振安曾伟刚杨军红
Owner KEY & CORE TECH INNOVATION INST OF THE GREATER BAY AREA