Context-Aware Plant Planning Interface for Complex Industrial Layouts
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Solution Overview
Problem
Existing planning tools for industrial plants are often complicated, time-consuming, and lack automated functions for special circumstances and conditions, limiting their functionality and efficiency.
Innovation Solution
A software platform with a user interface and an assistance module, potentially incorporating a Large Language Model (LLM) and knowledge graph, processes user input to generate context-aware responses for plant planning, including design, modification, and evaluation, optimizing the planning process through automated interaction and adaptive suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing planning tools are used for industrial plant planning, then plant planning can be automated to some extent, but the operation and interaction become complicated and time-consuming
Solution Approach 1:
The patent introduces a natural language processing intermediary that mediates between the user and the complex planning tool system. Users can interact with the planning system through natural language queries and conversations, which the NLP component translates into structured planning operations, eliminating the need for users to navigate complicated interfaces while maintaining automated planning capabilities
Solution Approach 2:
The patent replaces the mechanical interaction system (complex graphical interfaces, menu navigation, and manual configuration) with an intelligent language-based system. The NLP engine and AI assistant automatically interpret user intent and execute planning tasks through language processing, substituting the traditional mechanical interaction paradigm with a more efficient cognitive interface
2Extent of automation
If existing planning tools are used for industrial plant planning, then some automation is achieved, but the functionality is limited and lacks automated functions for special circumstances and conditions
Solution Approach 1:
The patent implements a dynamic planning system where the AI assistant can adapt its behavior and capabilities based on the specific planning context. The system dynamically adjusts its response strategies, retrieves relevant information from knowledge graphs based on current planning needs, and evolves its assistance approach according to the complexity and特殊性 of each planning scenario, enabling versatile handling of special circumstances
Solution Approach 2:
The patent changes the fundamental parameter of user-system interaction from structured menu-based input to flexible natural language input. This parameter change enables the system to process diverse and complex planning requirements that were previously impossible to handle, as the NLP system can interpret and adapt to various expressions of special circumstances and conditions
3Ease of operation
If existing planning tools are used for industrial plant planning, then basic planning functions are available, but the operation and interaction are complicated
Solution Approach 1:
The patent extracts the complex interface interaction layer from the core planning functionality. By separating the user interaction layer (handled by NLP and AI assistant) from the underlying planning engine, the system presents a simplified natural language interface to users while maintaining the full complexity of planning capabilities in the background, effectively hiding interface complexity from users
Solution Approach 2:
The patent creates a universal natural language interface that can handle multiple planning tasks and functions through a single consistent interaction paradigm. Instead of requiring different interfaces for different planning functions, the AI assistant provides a unified language-based interface that adapts to various planning operations, making the system easier to operate while maintaining full functionality
Data Source
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AI summary
The invention relates to a method (100) for the computer-aided creation of a plan for an industrial plant (300) using a software platform (10), comprising: - receiving (101) user input (25) via at least one user interface (20) of the software platform (10), - assigning (102) the user input (25) to a context (210) of a plant plan (200), by which at least a part of the industrial plant (300) is planned, - processing (103) the user input (25) by an assistance module (50), wherein a response (55) of the assistance module (50) is generated based on the user input (25) and taking into account the context (210), wherein the response (55) specifies a design and/or a modification and/or an extension and/or an evaluation of at least a part of the plant plan (200), - initiating (104) an output (26) of the response (55) to the user via at least one user interface (20).