Goblet Imagery Mapping Model Using Genetic Algorithm
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Solution Overview
Problem
Current computer-aided design systems for goblets lack a unified method for curve modeling, making it difficult to accurately obtain user imagery and derive models, especially for curvilinear products, which are often dominated by subjective aesthetics and lack computer support, resulting in inadequate consumer needs fulfillment.
Innovation Solution
A method and system for generating imagery mapping modeling of goblets involving pre-processing goblet samples to establish a sample library of modeling features, performing dimension reduction on imagery vocabulary to create user imagery adjective pairs, and using a genetic algorithm to establish a relationship between goblet modeling and imagery adjectives, allowing for user-input imagery values to produce optimal goblet shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computer-aided design is used to generate product modeling solutions, then design efficiency and output are improved, but the ability to accurately obtain user images and their derived models deteriorates
Solution Approach 1:
The patent implements a feedback mechanism by collecting user imagery adjectives and using them to evaluate and optimize the generated goblet models. The system continuously refines its modeling by comparing generated results with user preferences, thereby improving the accuracy of obtaining user images while maintaining high design efficiency through automated computer-aided processes.
Solution Approach 2:
The system performs self-service by automatically generating multiple goblet modeling solutions based on collected user imagery adjectives and selecting the optimal model without requiring manual intervention. This self-service capability maintains high productivity while improving measurement precision through iterative optimization based on user feedback.
2Adaptability or versatility
If curve modeling and component modeling are performed with different methods due to large number of product bases, then modeling flexibility is improved, but modeling consistency and unified requirements deteriorate
Solution Approach 1:
The patent applies universality by establishing a unified imagery mapping modeling method that can handle both curve modeling and component modeling. The system uses a common set of imagery adjectives and evaluation criteria across different modeling types, ensuring consistency while maintaining the ability to adapt to various goblet designs through the flexible imagery vocabulary.
3Ease of manufacture
If design is dominated by personal subjective aesthetics and experience, then design creativity is improved, but understanding and fulfillment of consumer needs deteriorates
Solution Approach 1:
The system uses feedback from user imagery adjectives to guide and evaluate design creativity. Designers can explore creative solutions while the system provides feedback based on collected user preferences, ensuring that creative designs still fulfill consumer needs. This resolves the contradiction by maintaining design freedom while incorporating user-oriented evaluation.
4Adaptability or versatility
If no unified generation method exists for goblet modeling, then design diversity is improved, but research depth and systematic study deteriorate
Solution Approach 1:
The patent segments the goblet modeling process into distinct components: imagery vocabulary collection, imagery mapping model establishment, and model generation. This segmentation allows for systematic study of each component while maintaining overall design diversity. The unified methodology provides a structured framework that can be systematically researched and improved.
Data Source
AI summary
A method and a system for generating imagery mapping modeling of goblet. The method includes: pre-process collected goblets based on a height of each goblet, and establish a sample library of goblet modeling features; perform dimension reduction processing on the imagery vocabulary, and establish a goblet user imagery adjective pair based on the processing result; a relationship between the goblet modeling and imagery adjective is obtained through the sample library of goblet modeling features and the goblet user imagery adjective pair, and an optimal imagery value is established; input an user-entered imagery value into to the established optimal goblet imagery mapping modeling model, and produces a goblet shape meets an index. It realize users' demand for imagery modeling for the goblet and provide a fast and effective new idea for updating and iterating the goblet modeling scheme with a genetic algorithm and a computer programming technology.