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Forecasting method of solar eruption events based on machine learning technology forecasting model

A forecasting model, a technology for solar eruptions, used in computer parts, forecasting, instruments, etc.

Active Publication Date: 2019-04-02
NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in terms of CME prediction, there is no practical public technology based on the solar CME prediction model in the world.

Method used

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  • Forecasting method of solar eruption events based on machine learning technology forecasting model
  • Forecasting method of solar eruption events based on machine learning technology forecasting model
  • Forecasting method of solar eruption events based on machine learning technology forecasting model

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Embodiment Construction

[0050] The solar eruption event prediction method based on the machine learning technology prediction model of the present invention will be further described in detail below in conjunction with the accompanying drawings and the embodiments of the present invention.

[0051] The energy of solar eruptive activities comes from the magnetic field, so we establish a solar eruptive event prediction model based on the data of the photosphere vector magnetic field in the solar active region.

[0052] figure 1 It is a schematic diagram of the block diagram of the solar eruption event forecasting system based on the machine learning technology forecasting model of the present invention. Such as figure 1 As shown, the solar eruption event prediction model mainly includes the following two aspects, that is, the steps of describing the magnetic field characteristics of the solar active region and establishing the solar eruption event prediction model. It mainly includes the following st...

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Abstract

The invention discloses a solar burst event forecasting method based on machine learning technology forecasting model. The method includes: A. a step of depicting solar active region magnetic field characteristics; and B. a step of establishing a solar burst event forecasting model. By adoption of the method provided by the invention, solar active region photosphere vector magnetic field measurement can be utilized to establish the solar burst event comprehensive forecasting model through a machine learning technology, thereby realizing comprehensive forecasting of solar flares and coronal mass ejection which are related with the solar active region.

Description

technical field [0001] The present invention relates to solar activity forecasting technology, in particular to a solar eruption event forecasting method based on machine learning technology forecasting model. Background technique [0002] The sun is the source of space weather. Vigorous eruptions originating from the sun produce a large number of high-energy particles and strong electromagnetic radiation. When a large number of high-energy particles reach near the earth's orbit, it may affect the safety of satellites in geosynchronous orbit and astronauts, and when they reach near the earth's upper atmosphere, they may cause geomagnetic storms; when electromagnetic radiation reaches near the earth, it may damage the earth's ionosphere, thereby affecting radio communication. Therefore, the prediction of solar eruption events has important practical value. [0003] Solar flares and coronal mass ejections are two of the most violent solar eruptive events. In the prediction...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06K9/62
Inventor 黄鑫王华宁王宁萍
Owner NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
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