Early warning method and early warning system for solar flares

A technology for solar flares and flares, applied in the field of satellite data monitoring, can solve the problems of limited forecaster's business level, inability to reach unified standards, and inability to refer to forecasters, so as to improve the accuracy of early warning and improve the accuracy of forecasting. rate, reduce the effect of feature extraction

Pending Publication Date: 2021-11-05
NAT SPACE SCI CENT CAS
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Problems solved by technology

However, the forecasting effect is limited by the professional level of the forecaster and cannot reach a unified standard. The forecasting process relies heavily on the judgment of the forecaster, making accurate forecasts impossible, and there is no recommendation function, which cannot give the forecaster a reference for similar historical events.

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  • Early warning method and early warning system for solar flares
  • Early warning method and early warning system for solar flares
  • Early warning method and early warning system for solar flares

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Embodiment Construction

[0063] The present invention will be further described now in conjunction with accompanying drawing.

[0064] like figure 1 As shown, the present invention provides a kind of early warning method for solar flare, and this method comprises:

[0065] Step 11) Obtain the latest flare data in real time, and input it to a pre-established and trained image feature extractor for feature extraction to obtain multiple image feature vectors;

[0066] Wherein, the image feature extractor is a convolutional neural network model, which can extract image features and reduce the dimensionality of image data; the input of the convolutional neural network model F is the current latest flare data B, The output is the feature information vector Y, that is, the image feature vector, such as figure 2 As shown, in this embodiment, flare data B includes 36 pictures within 9 hours;

[0067] Satisfies the following formula:

[0068] Y=F(B)

[0069] The convolutional neural network model includes...

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Abstract

The invention belongs to the technical field of satellite data monitoring, and particularly relates to an early warning method and early warning system for solar flares, and the method comprises the steps: obtaining the latest flares data in real time, inputting the data into a pre-established and trained image feature extractor for feature extraction, and obtaining a plurality of image feature vectors; splicing the obtained multiple image feature vectors according to a time sequence to obtain a feature matrix; inputting the obtained feature matrix into a pre-established and trained time sequence feature extractor to obtain a plurality of recommended feature vectors; calculating the similarity between each recommendation feature vector and a historical data sample feature vector corresponding to the event in a historical database by adopting an Euclidean distance algorithm and a cosine similarity algorithm; and according to the similarity obtained through calculation, finding similar events in a historical database to be taken as recommended events, and giving event early warning.

Description

technical field [0001] The invention belongs to the technical field of satellite data monitoring, and in particular relates to an early warning method and an early warning system for solar flares. Background technique [0002] A solar flare is a phenomenon in which the flux of electromagnetic waves increases rapidly during an eruptive event on the surface of the sun, and is an important factor causing weather disturbances in near-Earth space. Solar flare is a kind of violent solar activity, which is one of the precursor phenomena of solar proton events and coronal mass ejections. It can release high energy in a short period of time, making the sun's local external particle radiation instantly increase. If it happens to happen The position of the solar flare facing the earth will have a serious impact on the space environment of the earth. The accompanying high-energy particles and radiation have a severe impact on the space environment, causing potential harm to space vehic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G06T3/40
CPCG06T7/0002G06T3/4038G06N3/08G06T2207/20081G06T2207/20084G06T2207/30192G06N3/048G06N3/045G06N3/044G06F18/2431G06F18/22
Inventor 何欣燃钟秋珍师立勤崔延美
Owner NAT SPACE SCI CENT CAS
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