Method for forecasting trend of health degree with intelligent electric meter based on GM (1,1)

Abstract

The invention relates to a method for forecasting trend of health with intelligent electric meter based on GM(1,1), specifically comprising the following steps of: step (1): carrying out evaluation onthe health degree of the intelligent electric meter, and obtaining the health degree indicator data of the intelligent electric meter; step (2): establishing a model for forecasting trend of health degree with intelligent electric meter based on GM(1,1) using the intelligent electric meter indicator data; step (3): carrying out trend prediction on the health degree of the intelligent electric meter. The method for forecasting trend of health degree with intelligent electric meter based on GM (1,1) obtains the overall health degree of the intelligent electric meter through the health degree comprehensive evaluation index of the intelligent electric meter, and provides effective suggestions and reliable guidance for the pre-judgment of the intelligent electric meter in the regional scope.

Description

technical field [0001] The invention belongs to the field of electric energy metering, and relates to a method for predicting the trend of the health degree of an intelligent electric energy meter, in particular to a method for predicting the trend of the health degree of the intelligent electric energy meter based on GM (1,1). Background technique [0002] In recent years, the comprehensive evaluation of the health of smart energy meters has provided a certain reference for the operation status forecast and fault warning of smart energy meters. It can first conduct a full-coverage health assessment on the same batch of smart energy meters, and then according to the evaluation score Value sorting is used to formulate a dynamic maintenance plan to replace the previous fixed-period maintenance mode, which improves the pertinence of smart energy meter operation and maintenance to a certain extent. In short, the higher the health rating score of the smart energy meter, the more ...

AI Technical Summary

Problems solved by technology

However, at present, the critical value of the smart energy meter health evaluation score is generally determined according to the management agreement or according to the experience of experts, and there is a lack of quantitative analysis means; High scores lead to too many smart energy meters requiring on-site maintenance at the same time, which will cause tension in human resources and inspection devices; in addition, for different batches and types of smart energy meters, according to their importance and production Different health score standards and inspection efforts should be adopted for the size of the hazard after the failure

For this reason, in view of the problem that the maintenance of a large number of smart energy meters is not targeted and the task is heavy, in order to effectively carry out accurate online operation and maintenance detection of smart energy meters, the present invention proposes a health trend prediction of smart energy meters based on gray model theory method

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