Natural Language Interface for CAD Systems

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Solution Overview

Problem

Computer-aided design (CAD) systems lack user-friendly natural language interfaces, making it difficult for designers to interact with complex systems due to specialized language and context-specific terminology with multiple meanings.

Innovation Solution

A method is implemented to provide a natural language interface for CAD systems, allowing users to select locations on a CAD model using a GUI and input voice commands, which are parsed to determine meanings related to specific features, program actions, and command topics, identifying compatible components based on attribute information and displaying compatible components for selection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If natural language interface is implemented for CAD systems, then ease of operation is improved, but device complexity increases

Engineering Contradiction:
Improveease of operationVSAvoiddevice complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces a natural language processing intermediary layer between the user and the CAD system. This intermediary translates spoken natural language into CAD commands, acting as a mediator that converts human speech into system-executable instructions without requiring users to learn specialized CAD terminology or interfaces

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical interaction methods (mouse clicks, keyboard inputs, menu navigation) with voice-based natural language processing. This substitution eliminates the need for users to physically navigate complex graphical interfaces while maintaining full CAD functionality through speech recognition and natural language interpretation

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If natural language processing is added to CAD systems, then productivity is improved, but device complexity increases

Engineering Contradiction:
ImproveproductivityVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-processing and understanding natural language commands before executing CAD operations. The natural language processing component analyzes and interprets user intent in advance, preparing appropriate CAD commands and parameters before the actual design operations are performed, thereby streamlining the workflow and improving productivity

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If voice input recognition is implemented, then ease of operation is improved, but measurement precision deteriorates

Engineering Contradiction:
Improveease of operationVSAvoidmeasurement precision
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent implements feedback mechanisms where the system confirms interpreted voice commands to users before execution. This feedback loop allows users to verify that their spoken input was correctly understood and translated into the intended CAD operations, enabling correction of any misinterpretations and ensuring precision in design specifications

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10095217B2Natural language user interface for computer-aided design systems
Publication Date: 2018.10.09 DESPREZ LLC
  • US10095217B2 patent drawing
  • US10095217B2 patent drawing
  • US10095217B2 patent drawing

AI summary

A method of providing a natural language interface for a CAD system includes receiving a user selection through a GUI of a particular location of a CAD model, receiving a user voice input including a plurality of words and referring to the particular location, parsing the user voice input, determining a meaning for the parsed user voice input that includes a reference to the particular location, one or more words associated with one or more program actions, and one or more words associated with one or more command topics, each related to a specific feature of the CAD model, identifying one or more attributes of the specific feature based on the meaning, identifying from several candidate components at least a component compatible with the specific feature using the one or more attributes and the attribute information of the candidate components, and displaying an indication of the at least a component.