Server fault prediction method and device, equipment and storage medium

A technology of fault prediction and prediction method, applied in the field of server operation and maintenance, which can solve the problems of server predictive maintenance technology without reliable security mechanism and hidden danger of server security.

Pending Publication Date: 2020-06-19
上海上大鼎正软件股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing server predictive maintenance technology does not have

Method used

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  • Server fault prediction method and device, equipment and storage medium
  • Server fault prediction method and device, equipment and storage medium
  • Server fault prediction method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0025] Embodiment 1 of the present invention provides a server failure prediction method. The method can be performed by a server failure prediction device, wherein the device can be implemented by software and / or hardware, and generally can be integrated into a device with a server failure prediction function, such as can be integrated into a power supply device of a server or based on an electrical connection In the third-party equipment between the server and its power supply equipment, typically, it can be integrated into the power supply equipment (such as power supply) of the server. figure 1 A schematic flowchart of a method for predicting server failures provided by Embodiment 1 of the present invention, as shown in figure 1 As shown, the method includes:

[0026] S110. Acquire working status data of the server, where the working status data includes power consumption data and / or electromagnetic leakage data.

[0027] In this embodiment, the fault prediction device c...

Embodiment 2

[0037] figure 2 It is a schematic flowchart of a method for predicting a server failure provided by Embodiment 2 of the present invention. In this embodiment, on the basis of the above-mentioned embodiments, the "failure prediction of the server based on the working status data" is optimized as: calculating the working status data and the pre-stored standard status data that the server is in a normal state If the deviation value is greater than the preset deviation threshold, it is determined that the server is in an abnormal state, and a maintenance reminder message is sent to the monitoring terminal to remind the monitoring personnel to maintain the server. Fault state and Fault state.

[0038] Further, before sending the maintenance reminder message to the monitoring terminal, it also includes: comparing the working state data with the pre-stored non-standard state data that the server is in an abnormal state, and obtaining the most Approaching target non-standard status...

Embodiment 3

[0058] Embodiment 3 of the present invention provides a server failure prediction device. The device can be implemented by software and / or hardware, and generally can be integrated into a device with a server failure prediction function, such as a server power supply device or a third-party device based on an electrical connection between the server and its power supply device, typically It can be integrated in the power supply equipment (such as power supply) of the server, and the failure of the server can be predicted by implementing the prediction method of the server failure. image 3 The structural block diagram of the device for predicting server failure provided by Embodiment 3 of the present invention, as shown in image 3As shown, the device includes a data acquisition module 301 and a fault prediction module 302, wherein,

[0059] A data acquisition module 301, configured to acquire working status data of the server, the working status data including power consumpt...

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PUM

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Abstract

The embodiment of the invention discloses a server fault prediction method and device, equipment and a storage medium. The method comprises the following steps: acquiring working state data of a server, wherein the working state data comprises power consumption data and/or electromagnetic leakage data; and performing fault prediction on the server according to the working state data. By the adoption of the technical scheme, predictive maintenance of the server can be achieved, and the downtime rate of the server and the maintenance cost of the server are effectively reduced; and the data security of the server can be effectively guaranteed, and heavy loss is avoided. Moreover, since the server is subjected to fault prediction through the fault maintenance equipment, hardware of the serverdoes not need to be modified, and a software program does not need to be additionally installed on the server, occupation of internal resources of the server by fault prediction can be avoided, and the running speed of the server is increased.

Description

technical field [0001] The present invention relates to the technical field of server operation and maintenance, in particular to a server failure prediction method, device, equipment and storage medium. Background technique [0002] With the rapid development of the Internet and the continuous improvement of functions such as cloud computing and big data, the number of server applications in my country is also increasing. [0003] During the working process of the server, due to some failure reasons, the loss of the established work function or the occurrence of information leakage and data loss due to hacker attacks occur from time to time. Therefore, it is necessary to predict the potential failure and reliable working life of the server through predictive maintenance technology. Realize the transition from "after-event maintenance" and "regular maintenance" to "condition-based maintenance" and "predictive maintenance" to improve server security. Most of the existing ser...

Claims

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Application Information

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IPC IPC(8): G06F11/30G06F11/32
CPCG06F11/3024G06F11/3051G06F11/3058G06F11/3062G06F11/327Y02D10/00
Inventor 段璞刘春江韩东升陈国炜
Owner 上海上大鼎正软件股份有限公司
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