Method for predicting alternating time of intelligent meter

Abstract

The invention discloses a method for predicting the alternating time of an intelligent meter and belongs to the field of equipment life prediction. The method solves the technical problem of the inaccurate prediction of the alternating time of the intelligent meter in the prior art. The method for predicting the alternating time of the intelligent meter comprises the following steps of acquiring the voltage qualified rate of the intelligent meter, and acquiring the temperature value, the humidity value and the altitude value of the intelligent meter in the current working environment; acquiring the comprehensive fault rate of the intelligent meter; conducting the naturalization calculation of a preset voltage qualified rate reference, a preset comprehensive fault rate reference, a preset temperature difference reference, a preset humidity reference and a preset altitude reference for the intelligent meter based on the voltage qualified rate, the comprehensive fault rate, the temperature value, the humidity value and the altitude value; determining the per-unit values of the voltage qualified rate, the comprehensive fault rate, the temperature, the humidity and the altitude; acquiring the weight parameters of the voltage qualified rate, the comprehensive fault rate, the temperature, the humidity and the altitude; and determining the alternating time of the intelligent meter according to the per-unit values of the voltage qualified rate, the comprehensive fault rate, the temperature, the humidity and the altitude.

Description

【Technical field】 [0001] The invention relates to the field of equipment life prediction, in particular to a method for predicting the rotation time of a smart watch. 【Background technique】 [0002] There are two ways to determine the physical life of the equipment: one is given by the equipment manufacturer. For a manufacturer who produces a certain equipment all year round, because of years of production experience, a large amount of data accumulation, and user feedback, the life of its equipment can be determined. For newly developed equipment, it is also possible to make a correct estimate of the life value based on the equipment of the same type; the second is to use the Delphi method to predict the life of the equipment. The materials and the purpose of forecasting are sent to relevant experts respectively, and they are required to evaluate the life of the equipment with their own experience on time, and then summarize and sort out the opinions of the experts, and sen...

AI Technical Summary

Problems solved by technology

The above two methods are highly subjective. In order to comprehensively consider various objective factors, the accuracy of equipment life prediction is relatively weak.

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