Intelligent early-warning analysis method for meteorological severe convection weather based on machine learning

A machine learning and strong convection technology, which is applied in weather forecasting, meteorology, scientific instruments, etc., can solve problems such as weak early warning ability, low early warning accuracy, and misjudgment of early warning information

Active Publication Date: 2017-03-22
GUANGDONG OKING INFORMATION IND CO LTD
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AI Technical Summary

Problems solved by technology

In the traditional strong convective weather early warning, the localization problem is not considered, and the forecast and early warning is only based on the basic data of the weat...

Method used

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  • Intelligent early-warning analysis method for meteorological severe convection weather based on machine learning
  • Intelligent early-warning analysis method for meteorological severe convection weather based on machine learning
  • Intelligent early-warning analysis method for meteorological severe convection weather based on machine learning

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Embodiment Construction

[0033] The specific implementation of the present invention will be further illustrated below in conjunction with the examples and accompanying drawings, but the protection and implementation of the present invention are not limited thereto. A skilled person may realize it with reference to the prior art.

[0034] figure 1 It is a specific flow diagram of a machine learning-based intelligent early warning analysis method for meteorological strong convective weather of the present invention. As shown in the figure, this embodiment includes:

[0035] S101, the strong convective weather warning analysis process starts, and the strong convective weather includes thunderstorms, hail, tornadoes, and local heavy rainfall meteorological disasters.

[0036] S102. The server receives lightning location data in strong convective weather.

[0037] Specifically, the lightning positioning data includes cloud-to-ground flash and cloud flash data, the cloud-to-ground flash is divided into p...

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Abstract

The invention discloses an intelligent early-warning method for meteorological severe convection weather based on machine learning. The method comprises the steps of receiving severe convection weather early-warning basic data through a server, wherein the basic data comprise lightning positioning data, weather electric field data, automatic station meteorological essential factor real-time data, radar real-time radix data and the like, and supplying a local severe convection weather early-warning threshold for each area according to historical meteorological data based on a regression analysis method; obtaining real-time meteorological comprehensive data through big data regression analysis calculation of various meteorological essential factors, comparing the real-time meteorological comprehensive data with an early-warning threshold, and generating early-warning information. According to the intelligent early-warning method, tracing and data back-pushing are performed on meteorological historical data by means of the regression analysis method of machine learning; dynamic calculation and intelligent adjustment are performed according to a context threshold; data comparison is performed on a radar back-pushing result and automatic station meteorological essential factor real-time data; identification and early-warning are performed on the severe convection weather based on machine learning; and accurate early-warning for the severe convection weather in a preset area is realized.

Description

technical field [0001] The invention relates to the field of meteorological forecast and early warning, in particular to an intelligent early warning analysis method for strong convective weather using meteorological big data and based on machine learning. Background technique [0002] Severe convective weather is one of the main meteorological disastrous weather, and it is the key monitoring object of the meteorological department. Severe convective weather is disastrous weather that occurs suddenly, moves quickly, is violent, and is extremely destructive, mainly including thunderstorms, strong winds, hail, tornadoes, and local heavy rainfall. Effectively and quickly improving the identification and forecasting rate of severe convective weather can reduce the loss of people's lives and property as well as industrial and agricultural production. Due to the influence of terrain, seasons and other factors in different locations, the threshold value of strong convective weathe...

Claims

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Application Information

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IPC IPC(8): G01W1/10
CPCG01W1/10Y02A90/10
Inventor 黄文俊
Owner GUANGDONG OKING INFORMATION IND CO LTD
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