The invention discloses an abnormal detection and processing method of electric energy data based on electric energy metering events, comprises the following steps: receiving and summarizing data information of electric energy metering system, specifically comprising: receiving and summarizing archive data, table code data, change table item data and change CT item data of all electric energy metering systems by the client, and simultaneously carrying out warehousing processing; Comparing the data information, judging whether the data is abnormal or not, recording and alarming if the data is abnormal, specifically including: comparing the data size of the bottom table code of the upper table and the bottom table code of the lower table, if the bottom table code of the lower table is smaller than the bottom table code of the upper table, writing the record into the abnormality table code event table; By comparing table code abnormal event table and change table item, change CT item model, judge whether there is change table item in abnormal event table or not, change CT item. The invention improves the work efficiency of the operation and maintenance personnel, and ensures the accuracy and availability of the data collected by the electric energy metering system.

Anomaly detection and processing method of electric energy data based on electric energy metering events

The invention provides an electric energy meter demand exception judging method based on collected data analysis and relates to the field of metering of electric energy meters. Electric energy meters may cause demand information error in steps such as transmission, storage and processing and thus influence data accuracy. The method comprises the steps of: 1) acquiring data; 2) judging whether electric energy meter demand is exceptional according to the acquired data, wherein the judging criteria include: whether the transfer day> the marketing system meter reading day, or the transfer day < the marketing system meter reading day-1; whether on the marketing meter reading day, the forward active total electric energy indicating value is non-null and the maximum demand of the last month is null; whether values of the maximum demand of the last month in a meter reading period of the current month are not equal; whether the generation time of the maximum demand of the last month falls into a meter reading period of the last month; whether the maximum demand of the current month decreases in the meter reading period of the current month; 3) performing exception processing if the demand of electric energy meters is exceptional. The method can avoid demand information error in processes of data transmission, storage and processing and improve the accuracy of data.

An electric energy meter demand exception judging method based on collected data analysis

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An electric energy meter demand exception judging method based on collected data analysis