A Prediction Method of Smart Watch Rotation Time
A forecasting method and smart meter technology, applied in forecasting, data processing applications, calculations, etc., can solve problems such as weak accuracy, achieve the effect of reducing losses, reducing the interference of personnel subjectivity, and high forecasting accuracy
Active Publication Date: 2021-07-30
STATE GRID ZHEJIANG ELECTRIC POWER +3
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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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[0025] The technical solutions of the embodiments of the present invention will be explained and described below in conjunction with the drawings of the embodiments of the present invention, but the following embodiments are only preferred embodiments of the present invention, not all of them. Based on the examples in the implementation manners, other examples obtained by those skilled in the art without making creative efforts all belong to the protection scope of the present invention.
[0026] Such as figure 1 As shown, the present invention discloses a method for predicting the rotation time of a smart watch, and the method for predicting includes:
[0027] 11. Obtain the voltage qualification rate β of the smart meter and the temperature value T, humidity value P and altitude value H in the current working environment;
[0028] 12. Obtain the comprehensive failure rate of the smart meter;
[0029] 13. Calculate the voltage qualification rate, comprehensive failure rate,...
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The invention discloses a method for predicting the rotation time of smart watches, which belongs to the field of equipment life prediction and solves the technical problem of inaccurate prediction of the rotation time of smart meters in the prior art. The method for predicting the rotation time of smart meters of the present invention includes: Obtain the voltage qualification rate of the smart meter and the temperature value, humidity value and altitude value in the current working environment; obtain the comprehensive failure rate of the smart meter; calculate the voltage qualification rate, comprehensive failure rate, temperature value, humidity value and altitude value to the Preset voltage qualification rate benchmark, preset comprehensive failure rate benchmark, preset temperature difference benchmark, preset humidity benchmark and preset altitude benchmark, determine the per unit value of voltage qualification rate, comprehensive failure rate, temperature, humidity and altitude; obtain The weight parameters of voltage qualification rate, comprehensive failure rate, temperature, humidity and altitude, and determine the smart meter rotation time according to the per unit value of voltage qualification rate, comprehensive failure rate, temperature, humidity and 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...
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IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 夏洪涛袁雪枫牛东晓杨扬姚多朵王亿张旭东王龙戴波王锋华张文军陈新叶烨项弋力丁小杨少杰施婧方刚毅
Owner STATE GRID ZHEJIANG ELECTRIC POWER