Method for realizing operation and maintenance of auxiliary information system based on artificial intelligence

Abstract

The invention discloses a method for realizing auxiliary information system operation and maintenance based on artificial intelligence, and relates to the technical field of operation and maintenance management. Comprising the steps of 1, sorting knowledge based on information system operation and maintenance work, 2, constructing an information system operation and maintenance knowledge base, 3, performing model fine adjustment based on the operation and maintenance knowledge base, 4, generating an operation and maintenance model calling API interface, 5, integrating an information system AI assistant, and 6, outputting operation and maintenance information through the AI assistant. According to the method, operation and maintenance knowledge obtained through multiple channels is integrated, and an intelligent operation and maintenance knowledge base and an assistant are constructed by utilizing technologies such as machine learning and natural language processing, so that the limitation of the prior art is solved, more accurate, comprehensive and real-time operation and maintenance support is realized, and a solution is provided.

Description

Technical Field

[0001] The invention discloses a method, which relates to the technical field of operation and maintenance management, and specifically is a method for realizing auxiliary information system operation and maintenance based on artificial intelligence. Background Art

[0002] When operating and maintaining information systems, existing technologies and tools usually only monitor the system and perform log analysis, which cannot help administrators discover and solve potential problems in a timely manner. In addition, monitoring information and logs are usually unstructured, lack integration and accuracy, which is not conducive to information system operation and maintenance. Summary of the invention

[0003] In response to the problems of the prior art, the present invention provides a method for assisted information system operation and maintenance based on artificial intelligence. By integrating operation and maintenance knowledge acquired from multiple channels and utilizing technologies such as machine learning and natural language processing, an intelligent operation and maintenance knowledge base and assistant are constructed to address the limitations of the prior art, achieve more accurate, comprehensive and real-time operation and maintenance support, and provide solutions.

[0004] The specific scheme proposed by the present invention is:

[0005] The present invention provides a method for implementing auxiliary information system operation and maintenance based on artificial intelligence, comprising:

[0006] Step 1: Sort out knowledge based on information system operation and maintenance work.

[0007] Step 2: Build an information system operation and maintenance knowledge base: Combine the sorted knowledge, extract operation and maintenance related information, use natural language processing method NLP to convert unstructured data into structured knowledge, and establish relevant indexes and tags for subsequent query and retrieval.

[0008] Step 3: Fine-tune the model based on the operation and maintenance knowledge base: Use supervised learning and reinforcement learning algorithms in machine learning to establish an operation and maintenance model, fine-tune the operation and maintenance model based on the information in the operation and maintenance knowledge base, and verify the accuracy and efficiency of the operation and maintenance model through simulation tests and reviews of actual operation and maintenance scenarios.

[0009] Step 4: Generate an operation and maintenance model to call the API interface.

[0010] Step 5: Integrate the information system AI assistant: Integrate the AI ​​assistant with the information system management tool through plug-ins or middleware, obtain system status, submit operation commands, and call operation and maintenance model query solutions through the AI ​​assistant.

[0011] Step 6: Output operation and maintenance information through the AI ​​assistant.

[0012] Furthermore, in step 1 of the method for assisted information system operation and maintenance based on artificial intelligence, knowledge is sorted out according to information system operation and maintenance scenarios. The operation and maintenance scenarios include operating system configuration adjustment, network troubleshooting, database performance optimization and security incident response. For each operation and maintenance scenario, possible problems, common solution steps, related command line operations, SQL query statements and troubleshooting techniques are described.

[0013] Furthermore, when extracting operation and maintenance related information in step 2 of the method for implementing auxiliary information system operation and maintenance based on artificial intelligence, the operation and maintenance related information is preprocessed, including removing noise and extracting key information.

[0014] Furthermore, in step 4 of the method for implementing auxiliary information system operation and maintenance based on artificial intelligence, an API interface is generated based on the RESTful architecture, and future expansion is supported through API authentication mechanism and version control.

[0015] The present invention provides a device for realizing auxiliary information system operation and maintenance based on artificial intelligence, including an information management module, a knowledge base management module, a model fine-tuning module, an interface management module and an AI assistant management module.

[0016] The information management module organizes knowledge based on information system operation and maintenance work.

[0017] The knowledge base management module builds the information system operation and maintenance knowledge base: it combines the sorted knowledge, extracts operation and maintenance related information, uses the natural language processing method NLP to convert unstructured data into structured knowledge, and establishes relevant indexes and tags for subsequent query and retrieval.

[0018] The model fine-tuning module fine-tunes the model based on the operation and maintenance knowledge base: it uses supervised learning and reinforcement learning algorithms in machine learning to establish an operation and maintenance model, fine-tunes the operation and maintenance model based on the information in the operation and maintenance knowledge base, and verifies the accuracy and efficiency of the operation and maintenance model through simulation tests and reviews of actual operation and maintenance scenarios.

[0019] The interface management module generates the operation and maintenance model to call the API interface.

[0020] The AI ​​assistant management module integrates the information system AI assistant: the AI ​​assistant is integrated with the information system management tool through plug-ins or middleware, and the system status is obtained, operation commands are submitted, and operation and maintenance model query solutions are called through the AI ​​assistant, and operation and maintenance information is output through the AI ​​assistant.

[0021] Furthermore, the information management module of the device for assisting information system operation and maintenance based on artificial intelligence sorts out knowledge according to information system operation and maintenance scenarios, and the operation and maintenance scenarios include operating system configuration adjustment, network troubleshooting, database performance optimization and security incident response. For each operation and maintenance scenario, it describes the possible problems, common solution steps, related command line operations, SQL query statements and troubleshooting techniques.

[0022] Furthermore, when the knowledge base management module of the device for implementing auxiliary information system operation and maintenance based on artificial intelligence extracts operation and maintenance related information, the operation and maintenance related information is preprocessed, including removing noise and extracting key information.

[0023] Furthermore, the interface management module of the device for implementing auxiliary information system operation and maintenance based on artificial intelligence generates an API interface based on a RESTful architecture, and supports future expansion through an API authentication mechanism and version control.

[0024] The benefits of the present invention are:

[0025] Provide comprehensive information system operation and maintenance knowledge structured to help system administrators understand and solve problems efficiently;

[0026] Build a rich information system operation and maintenance knowledge base, integrate knowledge acquired from multiple channels, and improve the coverage and availability of the knowledge base;

[0027] Improve the accuracy and efficiency of the knowledge base through model fine-tuning, and provide precise suggestions and solutions based on specific situations;

[0028] Design easy-to-use API interfaces to facilitate user system integration and realize automated operation and maintenance and intelligent management;

[0029] The integrated AI assistant provides intelligent O&M support and suggestions, improving O&M efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION

[0031] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0032] Example 1

[0033] The present invention provides a method for implementing auxiliary information system operation and maintenance based on artificial intelligence, comprising:

[0034] Step 1: Organize knowledge based on information system operation and maintenance work.

[0035] The knowledge can be further sorted out according to the information system operation and maintenance scenarios, which include operating system configuration adjustment, network troubleshooting, database performance optimization and security incident response. For each operation and maintenance scenario, describe the possible problems, general solution steps, related command line operations, SQL query statements and troubleshooting techniques.

[0036] Step 2: Build an information system operation and maintenance knowledge base: Combine the sorted knowledge, extract operation and maintenance related information, use natural language processing (NLP) to convert unstructured data into structured knowledge, and establish relevant indexes and tags for subsequent query and retrieval. Information can also be extracted from public materials, professional forums, operation manuals, and historical operation and maintenance records.

[0037] Step 3: Fine-tune the model based on the operation and maintenance knowledge base: Use supervised learning and reinforcement learning algorithms in machine learning, such as decision trees, random forests, neural networks, etc. to build an operation and maintenance model, fine-tune the operation and maintenance model based on the information in the operation and maintenance knowledge base, and verify the accuracy and efficiency of the operation and maintenance model through simulation tests and reviews of actual operation and maintenance scenarios.

[0038] Step 4: Generate an operation and maintenance model to call the API interface.

[0039] Step 5: Integrate the information system AI assistant: Integrate the AI ​​assistant with the information system management tool through plug-ins or middleware, obtain system status, submit operation commands, and call operation and maintenance model query solutions through the AI ​​assistant.

[0040] Step 6: Output operation and maintenance information through the AI ​​assistant.

[0041] Example 2

[0042] Based on Example 1, when extracting operation and maintenance related information in step 2, the method of the present invention may further preprocess the operation and maintenance related information, including removing noise and extracting key information.

[0043] In step 4, you can further generate an API interface based on the RESTful architecture and define clear input and output parameters. And through API authentication mechanisms such as OAuth or JWT, and version control, support future expansion.

[0044] The method of the present invention can also evaluate and optimize the operation and maintenance model through operation and maintenance feedback, wherein appropriate algorithms and parameters are selected to evaluate the model effect.

[0045] Example 3

[0046] The present invention also provides a device for implementing auxiliary information system operation and maintenance based on artificial intelligence, including an information management module, a knowledge base management module, a model fine-tuning module, an interface management module and an AI assistant management module.

[0047] The information management module organizes knowledge based on information system operation and maintenance work.

[0048] The knowledge base management module builds the information system operation and maintenance knowledge base: it combines the sorted knowledge, extracts operation and maintenance related information, uses the natural language processing method NLP to convert unstructured data into structured knowledge, and establishes relevant indexes and tags for subsequent query and retrieval;

[0049] The model fine-tuning module fine-tunes the model based on the operation and maintenance knowledge base: it uses supervised learning and reinforcement learning algorithms in machine learning to establish an operation and maintenance model, fine-tunes the operation and maintenance model based on the information in the operation and maintenance knowledge base, and verifies the accuracy and efficiency of the operation and maintenance model through simulation tests and reviews of actual operation and maintenance scenarios.

[0050] The interface management module generates the operation and maintenance model to call the API interface.

[0051] The AI ​​assistant management module integrates the information system AI assistant: the AI ​​assistant is integrated with the information system management tool through plug-ins or middleware, and the system status is obtained, operation commands are submitted, and operation and maintenance model query solutions are called through the AI ​​assistant, and operation and maintenance information is output through the AI ​​assistant.

[0052] As the information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention, the specific contents can be found in the description of the embodiment of the method of the present invention and will not be repeated here.

[0053] Likewise, the device of the present invention provides a structured arrangement of comprehensive information system operation and maintenance knowledge, helping system administrators to understand and solve problems efficiently;

[0054] Build a rich information system operation and maintenance knowledge base, integrate knowledge acquired from multiple channels, and improve the coverage and availability of the knowledge base;

[0055] Improve the accuracy and efficiency of the knowledge base through model fine-tuning, and provide precise suggestions and solutions based on specific situations;

[0056] Design easy-to-use API interfaces to facilitate user system integration and realize automated operation and maintenance and intelligent management;

[0057] The integrated AI assistant provides intelligent O&M support and suggestions, improving O&M efficiency and accuracy.

[0058] It should be noted that not all steps and modules in the above-mentioned processes and device structures are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The system structure described in the above-mentioned embodiments can be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or some components in multiple independent devices may be implemented together.

[0059] The above-described embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or changes made by those skilled in the art based on the present invention are within the protection scope of the present invention. The protection scope of the present invention shall be subject to the claims.

Claims

1. A method for implementing auxiliary information system operation and maintenance based on artificial intelligence, characterized by include: Step 1: Sort out knowledge based on information system operation and maintenance work. Step 2: Build an information system operation and maintenance knowledge base: Combine the sorted knowledge, extract operation and maintenance related information, use natural language processing method NLP to convert unstructured data into structured knowledge, and establish relevant indexes and tags for subsequent query and retrieval. Step 3: Fine-tune the model based on the operation and maintenance knowledge base: Use supervised learning and reinforcement learning algorithms in machine learning to establish an operation and maintenance model, fine-tune the operation and maintenance model based on the information in the operation and maintenance knowledge base, and verify the accuracy and efficiency of the operation and maintenance model through simulation tests and reviews of actual operation and maintenance scenarios. Step 4: Generate an operation and maintenance model to call the API interface. Step 5: Integrate the information system AI assistant: Integrate the AI ​​assistant with the information system management tool through plug-ins or middleware, obtain system status, submit operation commands, and call operation and maintenance model query solutions through the AI ​​assistant. Step 6: Output operation and maintenance information through the AI ​​assistant.

2. According to claim 1, a method for realizing auxiliary information system operation and maintenance based on artificial intelligence is characterized by: In step 1, knowledge is sorted out according to information system operation and maintenance scenarios, which include operating system configuration adjustment, network troubleshooting, database performance optimization, and security incident response. For each operation and maintenance scenario, possible problems, general solution steps, related command line operations, SQL query statements, and troubleshooting techniques are described.

3. The method for realizing auxiliary information system operation and maintenance based on artificial intelligence according to claim 1, characterized in that When extracting operation and maintenance related information in step 2, the operation and maintenance related information is preprocessed, including removing noise and extracting key information.

4. The method for implementing auxiliary information system operation and maintenance based on artificial intelligence according to claim 1, characterized in that In step 4, an API interface is generated based on the RESTful architecture, and future expansion is supported through API authentication mechanism and version control.

5. A device for assisting information system operation and maintenance based on artificial intelligence, characterized in that It includes information management module, knowledge base management module, model fine-tuning module, interface management module and AI assistant management module. The information management module organizes knowledge based on information system operation and maintenance work. The knowledge base management module builds the information system operation and maintenance knowledge base: it combines the sorted knowledge, extracts operation and maintenance related information, uses the natural language processing method NLP to convert unstructured data into structured knowledge, and establishes relevant indexes and tags for subsequent query and retrieval. The model fine-tuning module fine-tunes the model based on the operation and maintenance knowledge base: it uses supervised learning and reinforcement learning algorithms in machine learning to establish an operation and maintenance model, fine-tunes the operation and maintenance model based on the information in the operation and maintenance knowledge base, and verifies the accuracy and efficiency of the operation and maintenance model through simulation tests and reviews of actual operation and maintenance scenarios. The interface management module generates the operation and maintenance model to call the API interface. The AI ​​assistant management module integrates the information system AI assistant: the AI ​​assistant is integrated with the information system management tool through plug-ins or middleware, and the system status is obtained, operation commands are submitted, and operation and maintenance model query solutions are called through the AI ​​assistant, and operation and maintenance information is output through the AI ​​assistant.

6. The device for implementing auxiliary information system operation and maintenance based on artificial intelligence according to claim 5, characterized in that The information management module organizes knowledge according to the information system operation and maintenance scenarios, which include operating system configuration adjustment, network troubleshooting, database performance optimization and security incident response. For each operation and maintenance scenario, it describes the possible problems, general solution steps, related command line operations, SQL query statements and troubleshooting techniques.

7. The device for implementing auxiliary information system operation and maintenance based on artificial intelligence according to claim 5, characterized in that When the knowledge base management module extracts operation and maintenance related information, it preprocesses the operation and maintenance related information, including removing noise and extracting key information.

8. The device for implementing auxiliary information system operation and maintenance based on artificial intelligence according to claim 5, characterized in that the interface The management module generates an API interface based on the RESTful architecture, and supports future expansion through API authentication mechanism and version control.

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