Low-voltage common fault studying and judging method and system based on power failure event big data analysis

• Main Authors: ZENG QINGLIN, CAI MULIANG, LIU BEI, GUO LIANG, CHENG MINJUN, AN YI
• Format: Patent
• Language: Chinese; English
• Published: 16.09.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TESTING

The invention discloses a low-voltage common fault studying and judging method and system based on power failure event big data analysis. The method comprises the steps of obtaining user power failure data and machine account data; associating the user power failure data with the machine account data according to the number of the transformer to obtain transformer area user power failure data; grouping the power failure data of the transformer area users according to the power failure user numbers and counting the power failure times of the users; screening the transformer area user power failure data of which the user power failure times are greater than a first preset threshold value to obtain user frequent power failure data, and aggregating the user frequent power failure data to obtain transformer area user frequent power failure data; and studying and judging the fault reason of the low-voltage power distribution network according to the frequent power failure data of the transformer area users. The pow