Device maintenance information processing method and device, computer device and storage medium

Abstract

The present invention provides a device maintenance information processing method and device, a computer device and a storage medium. The method comprises the steps of: obtaining model input data of aplurality of devices according to faults having happened in each device in the devices, inputting the model input data of each device into a prediction model for training, employing a trained prediction model to perform prediction and obtain one prediction fault frequency and prediction maintenance cost of each device in a future observation time quantum, and determining total cost data of each device according to the prediction fault frequency and the prediction maintenance cost of each device. The prediction model is employed to perform prediction of the fault frequency and the maintenancecost of each device in the future observation time quantum to determine the total maintenance cost of each device, and therefore, the problem is solved prediction is inaccurate caused by predication of fault frequency and the maintenance cost of each device through people's experience or simple algorithms.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to an equipment maintenance information processing method, device, computer equipment and storage medium. Background technique [0002] Large-scale computer rooms, factories and some infrastructures, etc., inevitably have equipment failure and maintenance. As the service life of equipment increases, the failure rate will change to a certain extent, and some maintenance costs will occur at the same time. The company also needs to estimate the maintenance expenditure for a period of time in the future, or estimate whether the equipment needs to be replaced with new equipment, so as to report or financial audit, etc. . [0003] In related technologies, a conventional method for estimating equipment maintenance costs is commonly used, that is, to estimate future equipment maintenance costs based on past equipment damage frequency and costs through simple formulas...

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Problems solved by technology

[0005] For this reason, the first object of the present invention is to propose a kind of equipment maintenance information processing method, to realize the prediction model through SMC or NBD, and the interval time length of equipment failure in the prediction model is set to obey the Weibull distribution of failure rate λ , to predict the failure frequency and maintenance cost of each equipment in the future observation period, which improves the accuracy of the model prediction and solves the problem of predicting the failure frequency and maintenance cost of equipment through human experience or simple algorithms in the prior art. Problems that lead to inaccurate predictions

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