An intelligent parameterized UI generation system and method for professional analysis software
The AI-driven parametric UI generation system solves the fragmentation problem in UI development of professional analysis software, achieves efficient and standardized interface generation and modular decoupling, improves development efficiency and interface consistency, reduces maintenance costs, and enhances functional expansion capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 粤港澳大湾区(广东)国创中心
- Filing Date
- 2026-02-11
- Publication Date
- 2026-06-05
AI Technical Summary
The parametric UI development of various functional modules in professional analysis software is highly customized and fragmented, resulting in low development efficiency, difficulty in ensuring interface consistency, high maintenance costs, and poor flexibility in functional expansion.
The system employs an AI-powered intelligent processing layer to analyze user interaction needs, generate structured instructions, automatically generate initial UI configuration files by combining them with a domain knowledge base, and automatically construct UI components and interaction logic through a parameterized UI generation layer, achieving modular decoupling and automated generation.
It significantly improves development efficiency, ensures consistency between interface style and operation logic, reduces maintenance costs, and enhances the flexibility of software function expansion.
Smart Images
Figure CN122152308A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of interface generation technology, and in particular to an intelligent parametric UI generation system and a method for generating intelligent parametric UIs suitable for professional analysis software. Background Technology
[0002] In professional software, the parameterized UI development model for various functional modules exhibits highly customized and fragmented characteristics: the parameter interaction interface for each type of functional module requires developers to manually customize it entirely, and the UI code systems of different functional modules are independent and non-reusable. Specifically, the development process requires writing a complete set of front-end code independently for the parameter interaction requirements of a single functional module, covering the UI component layer (such as numeric input boxes, enumerated drop-down selectors, range selection controls, Boolean selection switches, text input fields, date pickers, etc.), the layout logic layer (component arrangement rules, responsive adaptation logic, interface hierarchy design, multi-parameter grouping display logic, etc.), the parameter validation layer (data type validation, value range validation, logical correlation validation between parameters, null / abnormal value validation, format compliance validation, etc.), and the interaction logic layer (parameter linkage triggering, real-time validation feedback, response logic for operations such as submit / reset / cancel, and instant preview logic after parameter input, etc.).
[0003] Even if the parameter types (such as numeric, option, boolean, range, and text) involved in different functional modules are highly similar, or even if there are only differences in parameter names, value ranges, or display text, existing technologies still cannot reuse the implemented interface elements, validation rules, and interaction logic of the same type. It is necessary to repeatedly code and implement the same type of interface components and business logic. This development model leads to a series of common industry problems: First, development efficiency is low. A large amount of repetitive work significantly increases the development cycle and manpower costs of parameterized UIs, hindering the overall iteration speed of professional software functions. Second, interface consistency is difficult to guarantee. UI components written by different developers for the same parameters are prone to differences in interaction logic, visual style, and operation flow, reducing the usability and user experience of professional software. Especially for professional software using multiple modules in collaboration, inconsistent interface styles and operation logic significantly increase the user's learning cost. Third, maintenance costs are high. When iterative updates to parameter validation rules, interaction logic, or interface styles are needed, the independent code modules of each functional module must be modified one by one, easily leading to version inconsistencies, missed modifications, and cross-module compatibility issues. Fourth, functional expansion flexibility is poor. When adding new functional modules or adjusting existing parameter configuration logic, it is impossible to quickly generate standardized UIs based on existing parameter types. The entire process, including interface component selection, layout design, validation rule writing, and interaction logic development, must be completed from scratch, limiting the rapid expansion and scenario adaptation capabilities of professional software functional systems. Summary of the Invention
[0004] In view of the above problems, the present invention is proposed to provide an intelligent parameterized UI generation system and a corresponding intelligent parameterized UI generation method for professional analysis software that overcomes or at least partially solves the above problems.
[0005] This invention discloses an intelligent parameterized UI generation system suitable for professional analysis software, the system comprising:
[0006] The user interaction layer is used to receive UI generation requests from users and provide UI configuration editing operations and previewing of UI generation results; The AI intelligent processing layer is used to parse the UI generation requirements received by the user interaction layer into structured instructions, and automatically generate the initial UI configuration file based on the structured instructions; the initial UI configuration file includes at least the UI components, styles and logic information; The configuration editing and parsing layer is used to respond to user editing operations on the initial UI configuration file or supplementary descriptions of UI generation requirements in the user interaction layer, generate personalized UI configuration files, and parse the personalized UI configuration files into structured configuration data; The parameterized UI generation layer receives structured configuration data and automatically builds UI components, configures the interaction logic and data association rules between components based on the structured configuration data, and outputs renderable UI structure information. The UI rendering layer is used to receive UI structure information and render it into an interactive front-end interface.
[0007] Optionally, the AI intelligent processing layer includes: The AI semantic parsing module is used to parse the UI generation requirements input by users into structured instructions that can be recognized by machines, and to obtain common UI styles in the market and commonly used UI styles in professional fields. It also performs style analysis and feature extraction on common UI styles in the market and commonly used UI styles in professional fields to obtain UI style feature information. The AI configuration generation module uses an LLM multimodal model to automatically generate an initial UI configuration file based on structured instructions and UI style feature information for UI generation requirements, combined with a professional analysis software UI generation specification knowledge base corresponding to the professional field.
[0008] Optionally, the AI intelligent processing layer further includes: The UI preview module receives the output of the parameterized UI generation layer and displays the generated UI preview effect in the user interaction layer, allowing users to view and judge whether it meets their needs.
[0009] Optionally, the parameterized UI generation layer includes: The component infrastructure module is used to parse the structured configuration data and construct a tree-like hierarchical structure of UI controls; The GUI initialization and management module is used to create graphical user interface instances and global parameter objects, and manage the lifecycle of the graphical user interface. The parameter processing module is used to set default values for parameters for each UI control in the tree hierarchy, process dynamic fields and complex parameter types, and bind parameters to a global parameter object. The GUI control building module is used to dynamically generate UI controls based on their type by calling the corresponding creation function, and to register listener callbacks for changes in user input for each UI control.
[0010] Optionally, the parameterized UI generation layer further includes: The field information processing module is used to identify professional domain-specific fields in the structured configuration data, automatically obtain the data corresponding to the professional domain-specific fields of the current analysis model based on the professional domain-specific fields, and set the obtained data corresponding to the professional domain-specific fields of the current analysis model for the UI control.
[0011] Optionally, the parameterized UI generation layer further includes: The application and parameter passing module is used to respond to the user's confirmation operation on the current UI parameter configuration, flatten all current UI parameter configurations into a standard format, and publish events to pass the new configuration parameters to downstream functional modules.
[0012] Optionally, the parameterized UI generation layer further includes: The data synchronization module is used to realize bidirectional synchronization between the graphical user interface and the backend data, and to update the corresponding internal state and interface display in response to changes in parameters input by the user through UI controls or changes in backend data.
[0013] Optionally, the parameterized UI generation layer further includes: The property management module is used to uniformly manage the properties of UI controls and manage the dependencies between controls; The event handling module is used to listen for and process external events, as well as to trigger the data synchronization module to synchronize data.
[0014] Optionally, the configuration editing and parsing layer includes: The personalized configuration file editing module is used to respond to user UI configuration editing operations or UI generation requirements in the user interaction layer, adjust the initial UI configuration file generated by the AI intelligent processing layer, and generate a personalized UI configuration file. The configuration parsing module is used to parse the UI personalization configuration file into structured configuration data that can be recognized by the parameterized UI generation layer.
[0015] This invention also discloses an intelligent parameterized UI generation method suitable for professional analysis software, the method comprising: Receive user input for UI generation requirements; The UI generation requirements are parsed into structured instructions, and an initial UI configuration file is automatically generated based on these instructions. The initial UI configuration file includes at least the UI components, styles, and logic information. In response to user requests to edit the initial UI configuration file or to supplement the UI generation requirements, generate a personalized UI configuration file and parse the personalized UI configuration file into structured configuration data; UI components are automatically built based on structured configuration data, the interaction logic between components and the data association rules are configured, and renderable UI structure information is output. Receive UI structure information and render it into an interactive front-end interface.
[0016] This invention has the following advantages: This invention receives UI requests in the form of natural language or images through a user interaction layer. An AI intelligent processing layer performs semantic parsing and, combined with a domain knowledge base and reference styles, automatically generates an initial configuration file containing components, styles, and logic. Users can adjust and parse the configuration file through a configuration editing and parsing layer. The parameterized UI generation layer dynamically constructs UI components with a tree-like hierarchical relationship based on the parsed structured data, automatically configures interaction logic, data binding, and professional field processing, and achieves bidirectional synchronization between the GUI and backend data. Finally, the UI rendering layer outputs an interactive interface. This invention transforms highly customized and fragmented UI development into an automated and standardized generation process, significantly improving development efficiency, ensuring consistency in interface style and operational logic, significantly reducing maintenance costs, and enhancing the flexibility of software function expansion. Attached Figure Description
[0017] Figure 1 This is an architecture diagram of the intelligent parameterized UI generation system for professional analysis software, applicable to the present invention. Figure 2 This is a module logic diagram of the parameterized UI generation layer of this invention; Figure 3 This is a flowchart illustrating the operation of the intelligent parameterized UI generation system for professional analysis software, as described in this invention. Detailed Implementation
[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0019] Figure 1This is an architecture diagram of the intelligent parameterized UI generation system for professional analysis software, as described in this invention. Figure 1 The module composition, functions, and relationships of the intelligent parameterized UI generation system applicable to professional analysis software of this invention are as follows: 1. User Interaction Layer It is the interaction entry module between the software and the user. As the front-end operation carrier, it undertakes interactive functions such as user input, configuration editing, and UI preview. It is the operation connection layer between the user and the software's back-end modules.
[0020] 2. AI Intelligent Processing Layer AI semantic parsing module: Responsible for receiving requests (such as natural language and images) from the user interaction layer, parsing them into machine-recognizable structured instructions, and providing basic input for subsequent configuration generation.
[0021] AI configuration generation module: Based on the parsed requirement instructions and combined with preset rules / knowledge base, automatically generate the initial configuration file (containing information such as components, styles, and logic) corresponding to the UI.
[0022] UI Preview Module: Receives the output of the parameterized UI generation layer and displays the generated UI preview effect in the user interaction layer, allowing users to view and judge whether it meets their needs.
[0023] This level is the core of demand-to-configuration, leveraging AI to analyze and implement user needs. 3. Configure the editing and parsing layer Personalized configuration file editing module: It supports manual editing operations in the user interaction layer, allowing users to adjust the initial configuration file generated by AI (such as modifying component styles and parameter rules) to achieve personalized customization of UI configuration.
[0024] Configuration parsing module: Parses the edited configuration file into a structured data format that can be recognized by the parameterized UI generation layer. It is the conversion node for passing configuration information to the generation layer.
[0025] 4. Parameterized UI Generation Layer It is the core execution module of the software. It receives structured data from the configuration parsing module, automatically completes tasks such as building UI components, configuring interaction logic, and setting data association rules, and outputs renderable UI structure information.
[0026] Figure 2 This is the module logic diagram of the parameterized UI generation layer, see reference. Figure 2 The module composition and module logic of the parameterized UI generation layer are as follows: (1) Component basic structure module Define the basic structure of UI components, including the hierarchy of controls, parent-child nesting, etc. This module receives configuration parameters passed in from the previous module. Based on the parsed configuration, a tree structure of controls is constructed. For example, a dropdown list may contain child controls (such as sliders, checkboxes, etc.).
[0027] Each control has its own properties (such as type, name, label, options, etc.) for subsequent rendering.
[0028] (2) GUI initialization and management module Initializes the graphical user interface (GUI) and manages its lifecycle. This module creates a dat.GUI instance and mounts it to the specified container for the page.
[0029] Initialize the global parameter object `guiParams` to store user input. Set up event listeners to ensure the GUI responds to user actions (such as clicks, slider drags, etc.). Clean up resources when the component is destroyed (e.g., remove subscriptions, destroy the GUI instance).
[0030] (3) Parameter processing module This module handles various parameters from configuration, geometry, and user input. It needs to set default values for each control, process dynamic fields (such as physics field selection), and automatically populate available options based on model information. It supports complex parameter types (such as arrays and objects) and generates corresponding controls for them.
[0031] Bind the parameters to the guiParams object for use by the GUI.
[0032] (4) GUI control construction module Based on the control configuration, specific UI controls are dynamically generated. This module iterates through each control in `engineConfig` and calls the corresponding creation function based on the control type. An `onChange` callback is registered for each control to capture changes in user input.
[0033] (5) Data synchronization module This implements bidirectional synchronization between the GUI and backend data. When a user modifies a GUI control, the function is triggered to update its internal state. For example, when the geometry changes (e.g., a new geometry is passed in from another module), or after a change in the physics field, the function will synchronize these changes back to the GUI.
[0034] (6) Attribute Management Module This module provides unified management of UI control properties (such as labels, visibility, and disabled status). It controls whether controls are displayed, dynamically updates control labels, and manages dependencies between controls (e.g., the "Select All" button affects checkboxes).
[0035] (7) Event handling module Listen for external events (such as changes to geometry properties) and respond accordingly. Listen for and process various events and trigger data synchronization processes to keep the GUI consistent with the actual data.
[0036] (8) Field Information Processing Module The "special fields" processed in this module refer to fields with special significance in a professional field, such as scalars, vectors, tensors, fixed numerical ranges (such as the effective range of a pressure field, the reasonable threshold of a velocity vector), and specific dimensional attributes (such as the number of components in a vector field, the number of tuples in a tensor field, etc.) in the field of CAE post-processing.
[0037] The module categorizes and identifies special fields according to business needs and professional types. For example, for a physics field, it retrieves the physics data of the currently imported model and accurately sets the maximum, minimum, and default values for that parameter. This approach greatly enhances the professionalism and practical significance of the parameters, enabling users to control the data visualization or analysis process more intuitively and accurately, and providing parameters with greater practical engineering value.
[0038] (9) Application and parameter passing module The system applies user-configured parameters and passes them to downstream modules. When a user clicks the "Apply" button, the "Apply" button click function is triggered. The current GUI parameters are flattened into a standard format, and an event is published to notify other modules to apply the new configuration.
[0039] 5. UI rendering layer It receives the UI structure information output by the parameterized UI generation layer and renders it into the final displayable and interactive front-end interface, which is the final presentation carrier of software functions.
[0040] The operation process of the intelligent parameterized UI generation system for professional analysis software, applicable to this invention, is as follows: Step 1: Input Processing Users input their UI requirements through natural language descriptions or images. The system obtains commonly used UI styles in the market and professional fields as references, and uses the MCP toolset for style analysis and feature extraction.
[0041] Step Two: Intelligent Generation Input user input, market style, and professional style into the existing LLM multimodal model, and use the UI generation specifications in the RAG knowledge base to perform reasoning to generate an initial configuration file containing UI structure and parameter definitions.
[0042] Step 3: Parametric UI Generation Parse the initial configuration file and enter the parameterized UI generation module. Dynamically build GUI controls based on the configuration file, supporting multiple control types: checkboxes, sliders, dropdown lists, text boxes, array sliders, etc., and realize the linkage relationship and data binding between controls.
[0043] Step 4: Interaction and Optimization Generate a UI preview for users to view. Users can choose whether to apply the current configuration. If not, they can choose to modify it: customize the configuration or add a description to optimize the generated result. After modification, re-enter the generation process.
[0044] Step 5: Final Rendering After the application is configured, it is processed by the configuration parsing module and then enters the UI rendering layer to complete the final interface display, supporting real-time updates and responsive design.
[0045] Figure 3 This is a flowchart of the intelligent parameterized UI generation system for professional analysis software, as described in this invention. The process nodes are explained below: 1. START (Process Initiation) → 2. Obtain General UI Styles + Professional Software Domain UI Styles → 3. User Inputs Natural Language / Image Description of UI Requirements → 4. MCP Toolset Integrates Style Resources → 5. LLM Multimodal Model Combined with RAG Knowledge Base (UI Generation Specification) to Analyze Requirements → 6. Generate Initial Configuration File → 7. Parametric UI Generation Module Generates UI Preview Image → 8. Determine "Apply?" → 9. Select Modification Method (Custom Edit Configuration / Supplemental Description) → 10. Configuration Parsing Module Analyzes Final Configuration → 11. Parametric UI Generation Module Processes Parsed Configuration → 12. UI Rendering Layer Outputs Interactive UI → 13. END (Process End) The present invention has the following technical effects: This invention significantly improves the efficiency and quality of professional analysis software UI development through an AI-driven, parameterized, fully automated UI generation system and a modular, decoupled architecture. The AI semantic parsing and configuration generation module transforms unstructured requirements into structured instructions, and, combined with the MCP toolset, achieves intelligent style fusion. This greatly shortens the UI development cycle for individual functional modules, significantly improves code reusability, and substantially reduces labor costs and project timelines. The modular, decoupled design, through functional decoupling and cross-domain adaptation mechanisms, enables independent reuse and maintenance of sub-modules. This reduces expansion costs while promoting industry standardization, allowing non-front-end engineers to generate professional UIs using natural language. This frees up manpower to focus on core algorithms, accelerating the iterative innovation of professional analysis software in fields such as engineering and healthcare.
[0046] This invention provides a method for generating intelligent parameterized UIs suitable for professional analysis software, which may specifically include: Receive user input for UI generation requirements; The UI generation requirements are parsed into structured instructions, and an initial UI configuration file is automatically generated based on these instructions. The initial UI configuration file includes at least the UI components, styles, and logic information. In response to user requests to edit the initial UI configuration file or to supplement the UI generation requirements, generate a personalized UI configuration file and parse the personalized UI configuration file into structured configuration data; UI components are automatically built based on structured configuration data, the interaction logic between components and the data association rules are configured, and renderable UI structure information is output. Receive UI structure information and render it into an interactive front-end interface.
[0047] Optionally, the UI generation requirements are parsed into structured instructions, and an initial UI configuration file is automatically generated based on these structured instructions, including: The user's input UI generation requirements are parsed into machine-readable structured instructions; Acquire common UI styles in the market and commonly used UI styles in professional fields, and perform style analysis and feature extraction on these common UI styles to obtain UI style feature information; Using the LLM multimodal model, based on structured instructions and UI style feature information, and combined with the UI generation specification knowledge base of professional analysis software corresponding to the professional field, the initial UI configuration file is automatically generated.
[0048] Optionally, the method further includes: Display a UI preview of the generated UI structure information on the user interface to allow users to view and determine whether it meets their needs.
[0049] Optionally, UI components are automatically constructed based on structured configuration data, and the interaction logic and data association rules between the components are configured to output renderable UI structure information, including: Parse the structured configuration data and construct a tree-like hierarchical structure for UI controls; Creates graphical user interface instances and global parameter objects, and manages the lifecycle of the graphical user interface; Set default values for parameters for each UI control in the tree hierarchy, handle dynamic fields and complex parameter types, and bind the parameters to the global parameter object; Based on the type of each UI control, the corresponding creation function is called to dynamically generate the UI control, and a listener callback for changes in user input is registered for each UI control.
[0050] Optionally, the method further includes: Identify the domain-specific fields in the structured configuration data, automatically obtain the data corresponding to the domain-specific fields of the current analysis model based on the domain-specific fields, and set the obtained data corresponding to the domain-specific fields of the current analysis model for the UI control.
[0051] Optionally, the method further includes: In response to the user's confirmation of the current UI parameter configuration, flatten all current UI parameter configurations into a standard format and publish a new configuration parameter event.
[0052] Optionally, the method further includes: In response to user input of parameters via UI controls or changes in backend data, the corresponding internal state and interface display are updated to achieve bidirectional synchronization between the graphical user interface and backend data.
[0053] Optionally, the method further includes: Unified management of UI control properties and management of dependencies between controls; Listen for and process external events, and trigger bidirectional synchronization between the graphical user interface and backend data.
[0054] Optionally, in response to user edits to the initial UI configuration file or supplementary descriptions of UI generation requirements, a personalized UI configuration file is generated, and the personalized UI configuration file is parsed into structured configuration data, including: In response to user UI configuration editing operations or UI generation requests, adjust the initial UI configuration file to generate a personalized UI configuration file; The UI personalization configuration file is parsed into structured configuration data that can be recognized by the UI building process.
[0055] As the method embodiments are basically similar to the system embodiments, the description is relatively simple, and relevant parts can be found in the description of the method embodiments.
[0056] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.
[0057] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0058] The various embodiments in this specification are described in a related manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.
[0059] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.
Claims
1. An intelligent parameterized UI generation system suitable for professional analysis software, characterized in that, The system includes: The user interaction layer is used to receive UI generation requests from users and provide UI configuration editing operations and previewing of UI generation results; The AI intelligent processing layer is used to parse the UI generation requirements received by the user interaction layer into structured instructions, and automatically generate the initial UI configuration file based on the structured instructions; the initial UI configuration file includes at least the UI components, styles and logic information; The configuration editing and parsing layer is used to respond to user editing operations on the initial UI configuration file or supplementary descriptions of UI generation requirements in the user interaction layer, generate personalized UI configuration files, and parse the personalized UI configuration files into structured configuration data; The parameterized UI generation layer receives structured configuration data and automatically builds UI components, configures the interaction logic and data association rules between components based on the structured configuration data, and outputs renderable UI structure information. The UI rendering layer is used to receive UI structure information and render it into an interactive front-end interface.
2. The system according to claim 1, characterized in that, The AI intelligent processing layer includes: The AI semantic parsing module is used to parse the UI generation requirements input by users into structured instructions that can be recognized by machines, and to obtain common UI styles in the market and commonly used UI styles in professional fields. It also performs style analysis and feature extraction on common UI styles in the market and commonly used UI styles in professional fields to obtain UI style feature information. The AI configuration generation module uses an LLM multimodal model to automatically generate an initial UI configuration file based on structured instructions and UI style feature information for UI generation requirements, combined with a professional analysis software UI generation specification knowledge base corresponding to the professional field.
3. The system according to claim 1, characterized in that, The AI intelligent processing layer also includes: The UI preview module receives the output of the parameterized UI generation layer and displays the generated UI preview effect in the user interaction layer, allowing users to view and judge whether it meets their needs.
4. The system according to claim 1, characterized in that, The parameterized UI generation layer includes: The component infrastructure module is used to parse the structured configuration data and construct a tree-like hierarchical structure of UI controls; The GUI initialization and management module is used to create graphical user interface instances and global parameter objects, and manage the lifecycle of the graphical user interface. The parameter processing module is used to set default values for parameters for each UI control in the tree hierarchy, process dynamic fields and complex parameter types, and bind parameters to a global parameter object. The GUI control building module is used to dynamically generate UI controls based on their type by calling the corresponding creation function, and to register listener callbacks for changes in user input for each UI control.
5. The system according to claim 4, characterized in that, The parameterized UI generation layer also includes: The field information processing module is used to identify professional domain-specific fields in the structured configuration data, automatically obtain the data corresponding to the professional domain-specific fields of the current analysis model based on the professional domain-specific fields, and set the obtained data corresponding to the professional domain-specific fields of the current analysis model for the UI control.
6. The system according to claim 4, characterized in that, The parameterized UI generation layer also includes: The application and parameter passing module is used to respond to the user's confirmation operation on the current UI parameter configuration, flatten all current UI parameter configurations into a standard format, and publish events to pass the new configuration parameters to downstream functional modules.
7. The system according to claim 4, characterized in that, The parameterized UI generation layer also includes: The data synchronization module is used to realize bidirectional synchronization between the graphical user interface and the backend data, and to update the corresponding internal state and interface display in response to changes in parameters input by the user through UI controls or changes in backend data.
8. The system according to claim 7, characterized in that, The parameterized UI generation layer also includes: The property management module is used to uniformly manage the properties of UI controls and manage the dependencies between controls; The event handling module is used to listen for and process external events, as well as to trigger the data synchronization module to synchronize data.
9. The system according to claim 1, characterized in that, The configuration editing and parsing layer includes: The personalized configuration file editing module is used to respond to user UI configuration editing operations or UI generation requirements in the user interaction layer, adjust the initial UI configuration file generated by the AI intelligent processing layer, and generate a personalized UI configuration file. The configuration parsing module is used to parse the UI personalization configuration file into structured configuration data that can be recognized by the parameterized UI generation layer.
10. A method for generating intelligent parameterized UIs suitable for professional analysis software, characterized in that, The method includes: Receive user input for UI generation requirements; The UI generation requirements are parsed into structured instructions, and an initial UI configuration file is automatically generated based on these instructions. The initial UI configuration file includes at least the UI components, styles, and logic information. In response to user requests to edit the initial UI configuration file or to supplement the UI generation requirements, generate a personalized UI configuration file and parse the personalized UI configuration file into structured configuration data; UI components are automatically built based on structured configuration data, the interaction logic between components and the data association rules are configured, and renderable UI structure information is output. Receive UI structure information and render it into an interactive front-end interface.