Aquatic animal disease early warning method and system

Aquatic animal disease early warning method and system

The invention provides an aquatic animal disease early warning method and system, and relates to the field of aquatic animal breeding. The aquatic animal disease early warning method specifically comprises the following steps of S1, survival area determination, S2, area division, S3, dynamic acquisi...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: JIN FANLI, WANG JIANFU, GAO WENHUI, WANG XIUQIN, YANG JUAN, CHANG KUO-WEI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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 provides an aquatic animal disease early warning method and system, and relates to the field of aquatic animal breeding. The aquatic animal disease early warning method specifically comprises the following steps of S1, survival area determination, S2, area division, S3, dynamic acquisition and analysis, S4, risk analysis and S5, monitoring and early warning, and comprises an intelligent early warning system. The intelligent early warning system comprises a data acquisition module, a data uploading module, a data analysis module, a data comparison and matching module, a big database, an interactive display terminal and an early warning module. Risk division is carried out on a target area by tracking an aquatic animal survival area, when the risk level of a target monitoring area changes or is higher than a set threshold value, early warning is generated, so that when large-scale biological invasion occurs, warning can be effectively given out, prevention treatment can be carried out in time, and