Metering device clock error trend prediction method based on time sequence evolution gene model

Abstract

The invention discloses a metering device clock error trend prediction method based on a time sequence evolution gene model, and relates to the field of electric power operation and maintenance. Existing work can only solve the clock error problem of a specific scene and is not universal enough. According to the invention, a time sequence evolution gene model is adopted, the time sequence evolution gene model divides an ammeter clock error into a plurality of sub-sequences on a certain window, the model can analyze the characteristics of window sub-sequence error change, and the sub-sequenceswith similar distribution are divided into blocks through a classifier of the model; through the generative adversarial network, genes generating the subsequence distribution characteristics are mined; and combining genes of each subsequence in history, analyzing an evolution process through a recurrent neural network, analyzing an evolution mode of the subsequence, and predicting a future clock error trend of the subsequence. The technical scheme is not limited to specific devices and causes of errors, and can be adaptive to different scenes, so that a more universal scheme is provided, and the clock error problem of the generalized electric energy device is solved.

Description

technical field [0001] The invention relates to the field of electric power operation and maintenance, in particular to a method for predicting the clock error trend of a metering device based on a time series evolution gene model. Background technique [0002] The normal and stable operation of electric energy metering equipment affects the development of power grid companies and the economic benefits of their operations. Among them, the clock is one of the basic components of the metering device, and its accuracy is directly related to whether the metering device can accurately measure data in different periods. However, due to many reasons such as inaccurate clock synchronization signals, device crystal oscillator clock frequency not meeting the requirements of regulations, communication delays, device response delays, and different implementation methods of time calibration software, it is inevitable that the time of the energy metering device will be different from the ...

AI Technical Summary

Problems solved by technology

However, due to many reasons such as inaccurate clock synchronization signals, device crystal oscillator clock frequency not meeting the requirements of regulations, communication delays, device response delays, and different implementation methods of time calibration software, it is inevitable that the time of the energy metering device will be different from the standard time. Deviation occurred

[0003]However, the existing works can only solve the clock error

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