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Magnetic storm prediction method and device based on multi-modal representation learning and storage medium

A prediction method and technology of prediction device, applied in the direction of nuclear method, design optimization/simulation, etc., can solve problems such as deviation of results, and achieve the effect of improving accuracy and improving prediction effect.

Pending Publication Date: 2020-12-11
WUYI UNIV
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  • Application Information

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Problems solved by technology

Due to the complex relationship between the occurrence of geomagnetic storms and many factors, if the prediction of geomagnetic storms is only based on one of the factors, it will easily lead to deviations in the results

Method used

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  • Magnetic storm prediction method and device based on multi-modal representation learning and storage medium
  • Magnetic storm prediction method and device based on multi-modal representation learning and storage medium
  • Magnetic storm prediction method and device based on multi-modal representation learning and storage medium

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Embodiment Construction

[0037] This part will describe the specific embodiment of the present invention in detail, and the preferred embodiment of the present invention is shown in the accompanying drawings. Each technical feature and overall technical solution of the invention, but it should not be understood as a limitation on the protection scope of the present invention.

[0038] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only In order to facilitate the description of the present invention and simplify the description, it does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.

[0039] I...

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Abstract

The invention discloses a magnetic storm prediction method and device based on multi-modal representation learning and a storage medium. The method comprises the steps that satellite magnetic survey data and solar high-energy particle data are input through an input module; the extraction module extracts a first feature of the satellite magnetic survey data; a second feature of the solar high-energy particle data is extracted; geomagnetic discrimination features are extracted according to the first features and the second features; a geomagnetic index is obtained according to geomagnetic discrimination feature classification; the complementarity of the first feature and the second feature is utilized to eliminate the redundancy of the first feature and the second feature, so as to learn better feature representation, improve the classification accuracy and further improve the magnetic storm prediction effect.

Description

technical field [0001] The invention relates to the field of geomagnetic prediction, in particular to a magnetic storm prediction method, device and storage medium based on multimodal representation learning. Background technique [0002] Geomagnetic storms are mainly caused by solar flares that radiate a large amount of high-energy particle streams such as ultraviolet rays and X-rays, and reach the earth to seriously interfere with the earth's magnetic field. The occurrence of geomagnetic storms will cause major power outages, interfere with the operation of radio communications and satellites, as well as aviation navigation and positioning, so the prediction of geomagnetic storms has very important scientific and economic significance. Due to the complex relationship between the occurrence of geomagnetic storms and many factors, if the prediction of geomagnetic storms is only based on one of the factors, it will easily lead to deviations in the results. Contents of the i...

Claims

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Application Information

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IPC IPC(8): G06F30/25G06F30/27G06N20/10
CPCG06F30/25G06F30/27G06N20/10
Inventor 柯琪锐周文略翟懿奎陈家聪江子义甘俊英应自炉曾军英王天雷徐颖
Owner WUYI UNIV
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