Method, device, and apparatus for hard disk maintenance, and readable storage medium
A hard disk and preset technology, applied in the storage field, can solve the problems of low hard disk failure rate, difficult maintenance work for hard disk operation and maintenance personnel, and low single hard disk failure rate, so as to reduce workload, improve hard disk maintenance efficiency, and solve the problem of inconvenient maintenance Effect of comprehensive or redundant repairs
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Embodiment 1
[0052] Please refer to figure 1 , figure 1 It is a flow chart of a hard disk maintenance method in an embodiment of the present invention, the method includes the following steps:
[0053] S101. Obtain the target index data of the hard disk and input them into different prediction sub-models to perform fault prediction, and obtain initial prediction results output by each prediction sub-model.
[0054]In the embodiment of the present invention, the target index data refers to various performance data of the hard disk, such as the underlying data read error rate, seek error rate, seek performance, and the like. Each prediction sub-model can be obtained by training with different machine learning methods, and the specific learning method corresponding to each prediction sub-model can be determined according to the actual operating environment and training effect, which is not limited here. It should be noted that different prediction sub-models mean that each prediction sub-mo...
Embodiment 2
[0064] Please refer to figure 2 , figure 2 It is a flowchart of another hard disk maintenance method in an embodiment of the present invention, and the method includes the following steps:
[0065] S201. Obtain the target index data of the hard disk and input them into different prediction sub-models for failure prediction, and obtain initial prediction results output by each prediction sub-model.
[0066] S202. Perform fault pre-analysis by using the fault prediction model in combination with the accuracy rates of each prediction sub-model and the corresponding initial prediction results, and obtain a fault prediction result including a fault occurrence rate.
[0067] When using each initial prediction result to determine the failure occurrence rate, the failure prediction model may be used in combination with the accuracy of each prediction sub-model and the corresponding initial prediction result for analysis. Specifically, it is assumed that there are j (j>=2) predicti...
Embodiment 3
[0073] Please refer to image 3 , image 3 It is a flow chart of a hard disk maintenance method in an embodiment of the present invention, the method includes the following steps:
[0074] S301. Obtain target index data of the hard disk.
[0075] S302. Input the target index data into different prediction sub-models including decision tree prediction sub-model, Bayesian network prediction sub-model, neural network prediction sub-model and support vector machine prediction sub-model to perform fault prediction, and obtain each Predict the initial prediction output by the submodel.
[0076] Among them, the decision tree prediction sub-model, the Bayesian network prediction sub-model, the neural network prediction sub-model and the support vector machine prediction sub-model use the principle of decision tree, Bayesian network, neural network and vector machine for fault prediction respectively. model. Decision tree, Bayesian network, neural network and vector machine are com...
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