Method for analyzing user electricity utilization data abnormity based on electricity utilization information acquisition

Abstract

The invention provides a method for analyzing user electricity utilization data abnormity based on electricity utilization information acquisition. The method comprises: extracting voltage, current, power, and electric energy indicating value and other data in a user electricity utilization information acquisition, exporting to obtain a corresponding Excel table file, to perform statistics and analysis, to find whether a user electricity utilization metering device has abnormity. The method is relatively high in accuracy, and is simple and fast, and can effectively solve problems that abnormity monitoring of a meter in an acquisition system is not accurate enough and some abnormity cannot be monitored, and a conventional metering abnormity finding method is difficult and not timely to findabnormity. The method has good effects on finding faults of a metering device in time and reducing electric charge risk caused by error charge implementation, and has good effect of stealing electricity prevention.

Description

technical field [0001] The invention relates to the technical field of database software system development, in particular to a method for abnormal analysis of user electricity consumption data based on electricity consumption information collection. Background technique [0002] Electric energy metering device is the only basis for trade settlement between power supply companies and power customers. Whether it is accurate or not will directly affect the normal recovery of funds of power companies and fair transactions with power customers. If the measurement is abnormal and cannot be dealt with in time, firstly, it will affect the high-quality service image of the power supply company; As a result, it is difficult to replenish the power according to the actual situation, especially for customers with more power). Therefore, how to discover and quickly deal with the abnormality of electric energy measurement in time is a very important task for power supply enterprises. ...

AI Technical Summary

Problems solved by technology

However, in actual operation, the metering monitoring and statistical functions in the electricity consumption information collection system of power users are relatively limited, and the analysis of the user's electricity consumption data is not comprehensive enough, so it is difficult to quickly and easily locate a certain area or a certain location based on the metering monitoring data. The measurement abnormalities of a building or even a certain user are difficult to meet the detailed discovery and statistical work of electric energy measurement abnormalities

However, due to the complex construction structure of the electricity consumption information collection system for power users, if the data analysis layer of the power consumption information collection system for power users is directly transformed to meet the detailed work requirements, it will take a very high cost, and if the transformation is not done properly Errors in metering and monitoring will affect the overall operation of the electricity consumption information collection system for power users

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