Substation equipment defect early warning method and system based on dynamic closed-loop knowledge management

Substation equipment defect early warning method and system based on dynamic closed-loop knowledge management

The invention provides a substation equipment defect early warning method and system based on dynamic closed-loop knowledge management. The method comprises the steps of calculating a defect rate anda defect rate-of defect sample data in an area; sorting the correlation coefficients between the char...

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Hauptverfasser: LIU XIANGXING, CHEN XIAODONG, YAN XIAOTING, YAN DONG, CUI RONGHUA, LI YONGSHENG, XU WANSHU, LI XIN, NIU SHUOFENG, WANG ZHIJIE, NIU DONGTAO, JIA BIN, LI JIANFU, WANG SA, PENG HONGXIA, TANG YUQI, LI JIPAN, CHENG XU, YAN JINGJING
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
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 a substation equipment defect early warning method and system based on dynamic closed-loop knowledge management. The method comprises the steps of calculating a defect rate anda defect rate-of defect sample data in an area; sorting the correlation coefficients between the characteristic factors according to the sizes of the correlation coefficients to obtain a correlation coefficient sequence of the correlation strength between the defect rate and the characteristic factors; forming a region-level analysis layer knowledge base by the correlation coefficient sequence inthe region and the defect rate of the defect sample data, and uploading the region-level analysis layer knowledge base to a cloud intelligent analysis layer; enabling the cloud intelligent analysis layer to summarize the data, and calculate the correlation coefficients among the equipment defect rates and defect rate- characteristic factor under different characteristic factor combinations under the condition of considerin