Intelligent agricultural energy consumption analysis method based on electric power big data

Intelligent agricultural energy consumption analysis method based on electric power big data

The invention discloses a smart agricultural energy consumption analysis method based on electric power big data. Comprising the steps of intelligent agriculture distribution analysis, intelligent agriculture yield analysis, intelligent agriculture energy consumption condition analysis, intelligent...

Ausführliche Beschreibung

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Hauptverfasser: PAN PENG, ZHANG JUN, CHANG SHENGYONG, LI MIN, LIU SUHUI, XU FAN, RUAN ZHAOWEN, ZHANG ZEQUN, ZHANG LU, ZHANG JINGNONG, ZHANG JIN, ZHA XIANJIE, SUN JIAN, ZHU ZHONGQUAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
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 discloses a smart agricultural energy consumption analysis method based on electric power big data. Comprising the steps of intelligent agriculture distribution analysis, intelligent agriculture yield analysis, intelligent agriculture energy consumption condition analysis, intelligent agriculture power supply service reliability analysis, intelligent agriculture electric energy alternative scheme recommendation, intelligent agriculture yield prediction and rural revitalizing implementation scheme effect display and prediction. Based on agricultural enterprise archive data and agricultural enterprise yield data, the agricultural enterprise distribution situation in the jurisdiction is analyzed, enterprise space distribution characteristics are described, agricultural product yield data of all enterprises are utilized, the agricultural enterprise yield development situation is analyzed, and a theoretical basis is provided for government departments to optimize intelligent agricultural layout. The