Equipment life prediction system and method based on big data

Abstract

The invention belongs to the technical field of big data. The invention specifically discloses an equipment life prediction system and method based on big data. The service life prediction system comprises a data collection module and a data processing module, a prediction updating module and a display module, the data collection module is electrically connected with the data processing module; and the data processing module is electrically connected with the prediction updating module and the display module. Safe and convenient use, a data replacement unit and a data updating unit are arranged. Therefore, the static power consumption rate and the dynamic power consumption rate of the communication equipment battery in the actual use process can be used for calculating the original predicted static power consumption rate and dynamic power consumption rate at the time point; according to the method, the data can be updated, large deviation of the prediction result caused by complete prediction is avoided, the prediction data is replaced with the actual use data, prediction can better fit the actual use condition, and the prediction result can gradually become accurate.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a system and method for predicting equipment life based on big data. Background technique [0002] With the continuous development of society and the continuous advancement of science and technology, the era of big data has come towards us. Using the analysis of big data to draw conclusions has become the focus of people's use; [0003] In the prior art, the use of equipment usually has a certain service life. If the user still uses the equipment when he cannot know that the service life of the equipment is approaching, it will cause failures and accidents, which will affect normal plans and arrangements. Among them, the equipment Including mechanical equipment, transportation equipment and communication equipment, among which the use of communication equipment is becoming more and more extensive. In modern society, almost everyone has a communication equipment, and one of the c...

AI Technical Summary

Problems solved by technology

[0004] 1. During the use of the communication equipment battery, after predicting its service life, the service life of the battery may be further reduced due to some improper operations during use, and the predicted service life cannot be reached, resulting in inaccurate prediction results ;

[0005] 2. The existing technology only considers the power consumption rate of the dynamic state for the prediction of the communication equipment battery, but does not comprehensively consider the static power consumption rate and the dynamic power consumption rate, making the prediction result inaccurate

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