An operation and maintenance management method and system based on AI semantic analysis

Abstract

The invention discloses an operation and maintenance management method and system based on AI semantic analysis. The method comprises the following steps: obtaining an inquiry instruction inputted bya person, wherein the query command includes an inquiry about related information of an object managed by the operation and maintenance, the query instruction being a natural language text;. The AI engine is utilized to parse the inquiry instruction to obtain an answer; The initial data in the AI engine is the input and output of the historical manual operation dimension data. An operation flow tobe executed is determined by using an operation and maintenance tool according to the answer; According to the operation flow to be executed, the on-line server executes sequentially. The invention can realize automatic mapping and triggering the operation and maintenance process to operate without manually inputting complex commands or parameters, and only inputting natural language.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an operation and maintenance management method and system based on AI semantic analysis. Background technique [0002] In order to manage and maintain various online software and hardware resources, modern Internet companies often adopt various operation and maintenance management methods and tools. For example, arrange operation and maintenance engineers to be on duty in the company during holidays, require operation and maintenance engineers to use remote login tools to log in to online machines, and use command lines to perform manual operations and maintenance. Although these traditional operation and maintenance management thinking have helped enterprises realize resource management, with the scale of online business of enterprises, the frequency of software deployment and the number of troubleshooting times have increased exponentially, and operation...

AI Technical Summary

Problems solved by technology

For some repetitive and complicated work, there is no good automation and process

[0004] 2. Geographical restrictions, mobile office is not friendly

These tasks are extremely boring for operation and maintenance personnel, and also increase the labor cost of the enterprise

[0005] 3. Information islands, the process of operation and maintenance personnel performing operation and maintenance management is like a black box, and this knowledge cannot be well accumulated and displayed to other personnel. For example, it is extremely difficult for new operation and maintenance personnel to inherit these experiences

[0006] 4. Responsibilities and concepts are outdated. Traditional operation and maintenance methods believe that these tasks belong only to operation and maintenance personnel

[0007] 5. Operation and maintenance commands are not natural language, which is inconvenient to remember

For example, like linux commands, the traditional operation and maintenance method requires the operation and maintenance personnel to memorize the commands by themselves, or use manuals and other things to assist them based on efficiency and easy to forget

Unable to use natural language to perform operation and maintenance operations

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