PV Information Interface Using Natural Language for Chart and Control
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Solution Overview
Problem
Current PV information management systems lack user-friendly customization options for chart presentation and require professional technical proficiency for information extraction and analysis, making them inaccessible to ordinary users.
Innovation Solution
An interactive PV information processing system and method utilizing a cloud-side analysis and management unit with an LLM, enabling natural language-based input and output, allowing users to input instructions via voice or text, and generating customizable charts or control parameters through an APP terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional information management methods are used, then information extraction and analysis accuracy is improved, but system complexity and operational difficulty increase
Solution Approach 1:
The patent introduces an interactive voice processing system as an intermediary between the user and the PV power station management system. The system converts natural language voice inputs into structured control parameters through voice recognition and natural language processing modules, eliminating the need for users to directly interact with complex technical interfaces while maintaining accurate information extraction and analysis.
Solution Approach 2:
The patent replaces traditional manual operation interfaces (mechanical/physical interaction with control panels) with voice-based natural language processing. This substitution allows users to interact with the system using spoken commands rather than navigating complex menus or configuring technical parameters manually, significantly reducing operational difficulty while preserving analytical accuracy.
2Adaptability or versatility
If customized chart display options are provided, then user experience and information presentation flexibility are improved, but system complexity increases
Solution Approach 1:
The patent replaces complex manual chart configuration interfaces with voice-based natural language processing. Users can describe their desired chart specifications verbally (e.g., 'show power output over the past week'), and the system automatically translates these voice commands into appropriate chart configurations, eliminating the need for users to navigate complex customization menus or understand technical display parameters.
Solution Approach 2:
The system automatically generates and configures charts based on voice commands without requiring users to manually select parameters, configure axes, or choose display formats. The natural language processing system interprets user intent and autonomously configures the appropriate visualizations, making the system adaptable to user needs while keeping the interface simple.
3Ease of operation
If natural language processing is implemented, then ease of operation is improved, but information processing time and computational resources increase
Solution Approach 1:
The patent implements pre-configured voice command templates and patterns specific to PV power station management. Common operations (e.g., checking system status, viewing performance data, adjusting parameters) have predefined voice command structures that the system recognizes and processes efficiently. This preliminary structuring of expected inputs reduces the computational burden of natural language processing while maintaining ease of operation for routine tasks.
Solution Approach 2:
The patent divides the natural language processing system into modular components: voice recognition module, natural language interpretation module, parameter extraction module, and command execution module. Each module handles a specific aspect of processing, allowing parallel computation and reducing overall processing time. The segmentation also enables the system to handle simple commands quickly while reserving more computational resources for complex queries when necessary.
Data Source
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AI summary
Provided are an interactive photovoltaic (PV) information processing system and method, which simplify user input. A user inputs an instruction indicating a working requirement through voice or text, and an analysis and management unit analyzes the input instruction to generate an output instruction. According to the output instruction, a control parameter is generated to specifically configure a parameter of a device side. Alternatively, a working parameter or a control parameter is displayed in chart form on an application (APP) terminal. This reduces the technical threshold for the user of the system, enhances user experience, and enables better management of a PV power station. A large language model (LLM) is innovatively incorporated, which includes an input side for receiving a comprehensive input instruction in text form and an output side for providing the output instruction based on natural language. The entire process is implemented based on natural language, which aligns with user needs. In addition, the processing enables convenient user interaction, thereby improving the processing capability and expanding the scope of problems that can be addressed.