Distribution network reliability analysis method based on big data visualization technology

Distribution network reliability analysis method based on big data visualization technology

The invention belongs to an analysis method, and particularly relates to a distribution network reliability analysis method based on a big data visualization technology. The method comprises the stepsof 1, data collection, namely obtaining and storing public transformer operation data, 2, data proce...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: SUI SHIWEI, QI MENGYI, LIANG XIAOWEI, WU KE, WANG JIWEN, ZHAO YONGSHENG, HE YIYUN, LIU YUN, TANG LIANG
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 belongs to an analysis method, and particularly relates to a distribution network reliability analysis method based on a big data visualization technology. The method comprises the stepsof 1, data collection, namely obtaining and storing public transformer operation data, 2, data processing, namely calculating a public transformer collection rate and a public transformer integrity rate, and 3, reliability analysis, namely performing reliability analysis on the public transformer collection rate and the public transformer integrity rate. Step 4, visual output: outputting the public transformer collection rate and the integrity rate on output equipment; displaying credibility of the public transformer collection rate by using green numbers, otherwise, displaying the public transformer collection rate by using red numbers; and displaying the integrity rate credibly by using green numbers, otherwise, displaying the integrity rate by using red numbers. The method has the advantages that reliability a