System fault diagnosis intelligent operation and maintenance method and system based on machine learning

Abstract

The invention discloses a system fault diagnosis intelligent operation and maintenance method and system based on machine learning. The method comprises the steps of obtaining index data and annotation data of a system; respectively training data models of different use scenes according to the index data and the annotation data; According to the collected current index data and the data model, calculating and analyzing a system operation health condition, and triggering fault diagnosis and alarm on the captured abnormal index data; And diagnosing the fault cause according to the relation graphestablished by machine learning and the abnormal stack labeling data. The machine learning model is applied to an automatic operation and maintenance system, such as each operation and maintenance link of monitoring, fault diagnosis and operation and maintenance decision, so that faults can be quickly discovered and causes of the faults can be diagnosed, meanwhile, an operation and maintenance decision assembly is provided, self-repairing actions are completed according to diagnosis results of all parties, and real unattended operation and maintenance are achieved.

Description

technical field [0001] The invention relates to the technical field of intelligent operation and maintenance, in particular to a method and system for intelligent operation and maintenance of system fault diagnosis based on machine learning. Background technique [0002] With the rapid development of the Internet, the product scale and the number of servers have grown exponentially, and the number of servers has grown from a few in the early days to hundreds, thousands, and tens of thousands. The operation and maintenance personnel have also upgraded from the early manual operation and maintenance to the current tool-based and semi-automatic operation and maintenance. With the rapid growth of business and the number of servers, technicians are faced with this huge challenge, mainly in the following aspects: [0003] 1. There are more and more monitoring indicators. It takes a long time for the operation and maintenance personnel to find out the indicators that the operation...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problems of the prior art, the embodiment of the present invention provides a method and system for intelligent operation and maintenance of system fault diagnosis based on machine learning, so as to overcome the inability to quickly find the fault and diagnose the cause of the fault in the prior art, and cannot automatically Complete self-repair and other issues

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