Automobile part management method and system based on big data and computer readable medium

Automobile part management method and system based on big data and computer readable medium

The embodiment of the invention provides an automobile part management method and system based on big data and a computer readable medium. The accessory management method based on the big data comprises the steps that maintenance data and automobile accessory data of all maintenance units are obtain...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ZENG ZHUANGJUN, TAN ZHIJUN, XU HONG, YANG SHANGFU, RONG SUOLIN, SONG YUE
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 embodiment of the invention provides an automobile part management method and system based on big data and a computer readable medium. The accessory management method based on the big data comprises the steps that maintenance data and automobile accessory data of all maintenance units are obtained, data analysis based on the big data is carried out, information such as maintenance attributes and automobile accessory attributes corresponding to the maintenance units is obtained through analysis, and the maintenance attributes comprise service types; the automobile accessory attributes comprise automobile accessory circulation efficiency, high-frequency automobile accessory information and high-demand automobile accessory information; and updating the automobile accessory demand of the maintenance unit based on the analysis result so as to uniformly distribute and schedule the automobile accessories of each maintenance unit, and synchronizing the automobile accessory demand analysis result to an upstream su