Region line loss abnormity automatic analysis method based on RPA

Abstract

The invention discloses an RPA-based transformer area line loss abnormity automatic analysis method, which is characterized by comprising the following steps: S1, traversing a transformer area list, selecting a transformer area with abnormal power consumption information, and exporting abnormal transformer area user data to the next step; s2, traversing abnormal electricity utilization users, setting a data set, and exporting user data meeting conditions to the next step; s3, classifying and analyzing the user data meeting the conditions, determining whether the user data needs to be checked, exporting the user data needing to be checked, and giving an alarm; on-line big data analysis is carried out through an RPA technology, so that the time for checking line loss abnormity in an acquisition system manually in the prior art can be effectively shortened; timed analysis can be realized; the transformer area line loss can be predicted according to the electricity consumption of users, and the line loss analysis reliability is improved.

Description

technical field [0001] The invention relates to the technical field of power information, in particular to an RPA-based automatic analysis method for abnormal line loss in a station area. Background technique [0002] As one of the important indicators of the power supply station, the line loss in the Taiwan area is one of the focus of the power supply station's work in recent years. At present, through the comparison between the various systems, it is possible to initially compare and find the abnormality of the station area such as excessive line loss, too small and incalculable, and then eliminate the abnormality through the actual inspection on site. However, due to the large number of majors involved, it is often necessary to query and compare data between multiple systems to sort out the initial cause of abnormal line loss. For example, it is necessary to first use the system to check whether the line loss rate in the station area is qualified, whether there are missin...

AI Technical Summary

Problems solved by technology

In order to accurately judge the abnormal situation of line loss, the amount of data that needs to be queried is large and repetitive. At the same time, due to some system reasons, the operation is slow. Therefore, the current common phenomenon is that the full-time line loss and management personnel of the power supply station go to work every day. It basically takes a few hours to compare the operation of the abnormal line loss, and then notify the abnormal station manager to conduct on-site investigation. However, due to the long inspection time in the morning, only a small number of abnormal sites can be checked every day, which not only causes The work efficiency is relatively low, and it is often impossible to check all abnormal points in time due to time reasons, resulting in ineffective abnormality control. It is urgent to use intelligent means to shorten the time for abnormal inspection and improve the efficiency of abnormal line loss inspection

[0003] For example, a "A Line Loss Change Analysis Module and Its Operation Method" disclosed in the Chinese patent literature, its announcement number: CN110806518, discloses a line loss analysis unit, a change analysis unit and a meter management unit, which can Obtain relevant information and import it, but this solution does not solve the problem of detailed user line loss anomaly analysis, which is not very practical

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