Industrial Design Library Updates Using Generative AI
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Solution Overview
Problem
Industrial design applications face challenges in maintaining up-to-date designs due to changing industrial standards, leading to outdated designs being provided to users, which reduces design quality and is resource-intensive.
Innovation Solution
Utilizing a Generative Artificial Intelligence (GAI) model to update generic base designs in a repository based on user preferences and industry trends, ensuring designs align with current common selections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual database maintenance is used to update industrial designs, then design quality can be maintained, but resource consumption increases and maintenance becomes cumbersome
Solution Approach 1:
The system uses Generative AI to automatically update base designs by analyzing user selections and industry trends, eliminating the need for manual database maintenance. The AI model processes historical design data and automatically generates updated designs that reflect current industry standards, making the system self-maintaining and resource-efficient.
Solution Approach 2:
The patent replaces manual mechanical database maintenance with an automated Generative AI system. Instead of engineers manually updating designs in the database, the AI model processes data, identifies trends, and automatically generates updated base designs, substituting human labor with intelligent automation.
2Adaptability or versatility
If base designs are updated frequently to reflect industry changes, then design relevance improves, but system complexity increases
Solution Approach 1:
The system continuously monitors user selections and design submissions to identify industry trends. This feedback loop allows the Generative AI model to learn from actual usage patterns and automatically adjust base designs to reflect current industry standards, enabling adaptive updates without manual intervention.
Solution Approach 2:
The Generative AI model proactively analyzes historical design data and identifies trends before they become widespread. By performing preliminary analysis of user selections and industry patterns, the system can anticipate and prepare updated base designs in advance, maintaining relevance without requiring complex real-time updates.
3Measurement precision
If detailed manual tracking of design preferences is maintained, then design accuracy improves, but maintenance effort increases
Solution Approach 1:
The Generative AI model automatically processes and analyzes user selections, configuration data, and industry trends to maintain accurate design preferences. The system self-updates its understanding of industry standards by processing historical data, eliminating the need for manual tracking and reducing maintenance effort while preserving measurement precision.
Data Source
AI summary
The present disclosure describes systems and methods for updating industrial designs in a library of industrial designs. Embodiments include leveraging a Generative Artificial Intelligence (GAI) model to update the designs. The GAI model is trained to recognize common selections of configuration options among users of the industrial design application. The disclosure describes generating prompts requesting the GAI model to update the industrial designs based on the common selections of the users. The disclosure also describes leveraging the GAI model to update option packs within industrial designs, according to some embodiments.