Global typhoon message collection method and collection system based on CNN

A typhoon and message technology, applied in the direction of neural learning methods, alarms, biological neural network models, etc., can solve the problems of message discontinuity, time delay, waste of computing resources, etc., to improve transmission timeliness and save transmission distance , the effect of reducing resource consumption
CN112509285AActive Publication Date: 2021-03-16ιŸ©η‘ž
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ιŸ©η‘ž
Publication Date
2021-03-16

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Abstract

The invention provides a global typhoon message collection method and collection system based on a CNN, and belongs to the field of typhoon monitoring. According to the global typhoon message collection method based on the CNN, typhoon is classified and monitored on the basis of constructing a typhoon classification and recognition model based on the CNN, when it is recognized that tropical cyclone is generated, a tropical cyclone generation sea area is positioned, message data are actively extracted from a message editing center to which the positioned sea area belongs, and according to the actively extracted message data, a typhoon message is compiled and uploaded to a typhoon early warning publishing platform, and when it is judged that the typhoon message is an effective typhoon message, the complete typhoon message is collected and subjected to persistent storage According to the method, the typhoon early warning information can be actively identified, and the typhoon message is acquired from the WMO after typhoon early warning is identified, so that the transmission distance is saved, the transmission timeliness is improved, the integrity of the message is improved, and the resource consumption of persistent storage of the message is reduced.
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Description

technical field

[0001] The invention belongs to the field of meteorological observation, and in particular relates to a method and system for collecting global typhoon messages based on a convolution neural network (CNN). Background technique

[0002] Like the observation data of satellites and weather stations, typhoon messages are a type of observation data that records the occurrence, development, and end of typhoons, as well as their intensity and path prediction data. According to the data in typhoon messages, the typhoon process is analyzed and the future climate is improved. The quality of typhoon initial values ​​in conditional simulation is an important data to improve the accuracy of typhoon forecast.

[0003] The World Meteorological Organization (WMO) has recorded 31 reporting centers for the typhoon process that occurred in 8 major regions of the world. With the refinement of the forecast work, the WMO Tropical Cyclone Program (TCP) divides the global sea area ...

Claims

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