An intelligent electric meter state evaluation method based on neural network health degree evaluation

Abstract

The invention provides an intelligent electric meter state evaluation method based on neural network health degree evaluation, which is a method for establishing and applying a model based on a neuralnetwork, and comprises the steps of A1 a model initial data acquisition method of acquiring network-accessed intelligent electric meter operation related data as initial input data of a neural network model through a power grid marketing business system; A2 screening model input data; A3 model parameter optimization of determining each parameter of the neural network model, and performing parameter training on the neural network model to establish an evaluation model based on the neural network, wherein the evaluation model comprises an electric meter index evaluation model and an electric meter state comprehensive evaluation model; A4 in the application of the state evaluation structure, according to the evaluation result of the evaluation model and the operation cycle of the electric meter participating in evaluation, analyzing the internal relation between the evaluation model and the operation cycle, and predicting the operation sampling inspection time and replacing selection parameters of the electric meter. According to the invention, the electric meter big data accumulated in power grid operation can be utilized to evaluate the on-grid electric meter.

Description

technical field [0001] The invention relates to the technical field of electric power facilities, in particular to a state evaluation method of a smart electric meter based on a neural network health degree evaluation. Background technique [0002] As the most important part of the smart grid construction, smart meters have a direct impact on the stability and security of the grid data collection system in terms of their quality and operating status. At present, in terms of the acquisition and management of data related to the quality information of smart energy meters, the electrical information collection system developed and put into use by the State Grid has accumulated a large number of data on the real-time operation status and quality of smart energy meters. These data cover more comprehensively All aspects of the quality management of smart energy meters. [0003] However, these large amounts of quality data and monitoring data have not been fully valued and rationa...

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Problems solved by technology

[0003] However, these large amounts of quality data and monitoring data have not been fully valued and rationally utilized. There is no scientific and authoritative method at home and abroad on how to use a large amount of basic data as a support to objectively evaluate the operating status of electric energy meters.

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