LLM Network Operations Orchestration for Complex O&M Workflows
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Solution Overview
Problem
Network operation and maintenance is complex and inefficient due to the dependency on administrator familiarity with network operation and maintenance systems, leading to increased difficulty and reduced efficiency, especially when multiple operations or instructions are required.
Innovation Solution
A large language model-based network operation and maintenance method that identifies user intentions from dialog messages, orchestrates tasks, and executes them automatically, reducing the need for manual interaction and simplifying the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple network operation and maintenance systems are deployed with complex functions, then network operation and maintenance capability is enhanced, but operation complexity and difficulty increase
Solution Approach 1:
A large language model serves as an intermediary between the administrator and multiple network operation and maintenance systems. The model receives natural language input from the administrator, automatically identifies the target system and required operations, and executes tasks without requiring the administrator to navigate complex system interfaces or understand technical details of each system.
2Productivity
If administrators perform manual operations on multiple network operation and maintenance systems, then task execution is achieved, but time consumption and efficiency are reduced
Solution Approach 1:
The large language model autonomously performs the complete workflow of receiving administrator requests, parsing intent, selecting appropriate network operation and maintenance systems, constructing execution parameters, and carrying out tasks. The system serves itself by automatically completing operations without requiring repeated manual intervention from the administrator across multiple systems.
Solution Approach 2:
The large language model is pre-trained with extensive knowledge about multiple network operation and maintenance systems, their functions, and operational procedures. This preliminary knowledge acquisition enables the model to quickly understand and execute diverse tasks without requiring administrators to spend time learning each system's specific operations.
3Productivity
If administrators need to enter multiple instructions to complete operation and maintenance tasks, then task completion is achieved, but operation procedure complexity increases
Solution Approach 1:
The large language model merges multiple discrete operation steps into a single unified natural language interaction. Instead of requiring administrators to separately access different systems and enter multiple instructions, the model consolidates the entire operation workflow into one simple command that it processes and executes autonomously.
4Measurement precision
If network operation and maintenance systems require extensive administrator familiarity, then system control precision is improved, but accessibility and ease of use are reduced
Solution Approach 1:
The patent replaces the traditional mechanical interaction model (where administrators directly operate system interfaces and enter technical commands) with an intelligent language-based interaction model. The large language model translates natural language into precise system commands, maintaining accurate control while eliminating the need for administrators to have deep technical familiarity with system operations.
Data Source
AI summary
This application discloses a large language model-based network operation and maintenance method and apparatus. In this method, a network operation and maintenance intention of a user is identified from a dialog message of the user by using a large language model, to establish, based on the network operation and maintenance intention, an operation and maintenance task that the user expects to execute on a network. After execution of the operation and maintenance task is completed, an execution result of the operation and maintenance task is provided for a client. In this process, the user only needs to provide the dialog message in a form of dialog, and does not need to interact with the client for a plurality of times. This simplifies an operation procedure for network operation and maintenance, and can improve network operation and maintenance efficiency.