Region-based multi-industry object global meteorological risk early warning method and system

Region-based multi-industry object global meteorological risk early warning method and system

The invention discloses a region-based multi-industry object global meteorological risk early warning method and system. The method comprises the steps of obtaining boundary data of a target region and all meteorological factor data at a certain time point; dividing the target area into a plurality...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WU DEPING, ZHANG QIONGXIONG, ZHONG XIEFEI, LAO HANQIONG, CHEN HAILIANG, LIANG JING, WEN BIN, YU ZHOU, HUANG YUANFENG, ZHANG XINXIN, FU JINGRU
Format: Patent
Sprache:chi ; eng
Schlagworte:
ALARM SYSTEMS
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ORDER TELEGRAPHS
PHYSICS
SIGNALLING
SIGNALLING OR CALLING SYSTEMS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a region-based multi-industry object global meteorological risk early warning method and system. The method comprises the steps of obtaining boundary data of a target region and all meteorological factor data at a certain time point; dividing the target area into a plurality of grid areas according to the boundary data and the calibrated spatial resolution, and processing the meteorological factor data into meteorological factor gridding data; constructing a gridding time data layer of each meteorological factor at a certain time point; acquiring position information of multiple industry objects in the target area and risk thresholds of corresponding meteorological factors; and according to the position information, respectively determining the belonging grid areas, calling the grid data corresponding to the grid areas in the grid time data layers of different meteorological factors at the same time, comparing the grid data with corresponding industry object meteorological factor risk