Crayfish full-chain data acquisition and intelligent detection method and device

The invention relates to a crayfish full-chain data acquisition and intelligent detection method and device. The method comprises the following steps: acquiring crayfish images, node operation images and node numerical parameters; performing image processing on the crayfish images to determine crayf...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	YOU JUAN, LI XIAODING, ZHANG XINCAN, XIONG SHANBAI, HUANG HANYING, ZHAO SIMING, LI PENGFEI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES HANDLING RECORD CARRIERS INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The invention relates to a crayfish full-chain data acquisition and intelligent detection method and device. The method comprises the following steps: acquiring crayfish images, node operation images and node numerical parameters; performing image processing on the crayfish images to determine crayfish quality grades; identifying the node operation images, outputting corresponding abnormal areas and operator numbers, generating operation abnormity early warning information, issuing the operation abnormity early warning information to corresponding nodes, performing statistics on issuing frequency, and determining operation specification grades; inputting the node numerical parameters into corresponding standard libraries, generating parameter abnormity early warning information, issuing the parameter abnormity early warning information to corresponding nodes, performing statistics on issuing frequency, and determining production link quality grades; and classifying crayfishes into different grade batches acco