Typhoon generation mid-term exhibition early warning information quick query system

Abstract

The invention discloses a typhoon generation mid-term exhibition early warning information rapid query system, which comprises: an information collection module for reading sea level air pressure field forecast information of future 384 hours given by a GFS developed by the National Environmental Forecasting Center of America every 12 hours; a data processing module for receiving data informationtransmitted by the information collection module, wherein the data processing module performs feature extraction on the received image of the sea level air pressure field forecast information so as toobtain typhoon grade information, a typhoon geographic position and a typhoon near-center air pressure value and perform visual display on the obtained information; and a user service module which isused for receiving typhoon-related information transmitted by the data processing module and carrying out tropical cyclone geographic position search, tropical cyclone strength type prediction and evaluation and tropical low-pressure near-center air pressure value release.

Description

technical field [0001] The invention relates to the technical field of typhoon monitoring, in particular to a rapid query system for typhoon generation mid-term outlook early warning information. Background technique [0002] Tropical cyclones pose a great threat to maritime navigation and operations. For shipping safety management personnel and offshore operation dispatching management personnel, it is of great significance to ensure the safety of maritime navigation and offshore operations to prepare the navigation plan and typhoon prevention and early warning planning for offshore operations in advance. [0003] At present, on typhoon monitoring and forecasting websites at home and abroad, most of the monitoring and early warning information about typhoon generation, especially the mid-term outlook and early warning information of typhoon generation for more than 10 days, is mostly for professional meteorologists, and even for professional typhoon forecasters to analyze, ...

AI Technical Summary

Problems solved by technology

Due to the limitations of the knowledge structure of shipping safety managers and offshore operation scheduling managers, it is difficult for them to distinguish and select the monitoring and early warning information generated by these typhoons, so that they cannot effectively use these information to prevent typhoons in advance for navigation plans and offshore operations. Early warning planning

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