Digital Denim Laundry Equalizer for Predictive Wash Effect Modeling
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Solution Overview
Problem
Traditional denim fabric washing processes require physical treatment and manual adjustments, leading to inefficiencies, human errors, and excessive design samples, which increase costs and waste.
Innovation Solution
A denim laundry equalizer with a user interface and AI-driven synchronization model that allows for predictive modeling of washing processes, enabling synchronization between digital design and physical production, using sliders to adjust parameters like enzyme wash, stone wash, bleaching, and dyeing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If physical washing processes are used to achieve specific aesthetic effects, then the visual effects and styles can be determined, but excessive design samples are required and human error increases
Solution Approach 1:
The patent creates a digital copy of the physical denim fabric and washing processes. The synchronization model generates a digital twin that replicates the visual effects of physical washing, allowing designers to preview and adjust results virtually before physical production, thereby eliminating the need for multiple physical design samples
Solution Approach 2:
The system performs preliminary digital simulation of washing effects before actual physical washing. By using the synchronization model to predict and visualize outcomes in advance, designers can make adjustments digitally, preventing the need for repeated physical sampling and reducing time loss
2Adaptability or versatility
If manual adjustments are used in washing processes, then flexibility in design is achieved, but human error increases
Solution Approach 1:
The synchronization model establishes a feedback loop between digital parameters and physical washing outcomes. The system continuously synchronizes digital simulations with actual washing results, allowing real-time adjustment and prediction, which maintains design flexibility while reducing human error through automated parameter control
Solution Approach 2:
The patent replaces manual mechanical adjustments with a digital synchronization system. The equalizer uses automated algorithms to control washing parameters based on digital models, substituting human manual operations with precise computational control, thereby maintaining adaptability while improving reliability
3Manufacturing precision
If physical treatment processes are used, then true visual effects can be determined, but production efficiency decreases
Solution Approach 1:
The system creates a digital copy that accurately replicates physical washing visual effects. The synchronization model generates realistic digital representations of denim fabric after various washing treatments, allowing immediate visualization without waiting for physical processing, thus maintaining accuracy while improving efficiency
Solution Approach 2:
The patent performs preliminary digital visualization of washing effects before physical treatment. By predicting and displaying visual outcomes in advance through the synchronization model, the system allows immediate assessment and adjustment, eliminating the time delay associated with waiting for physical washing results
4Manufacturing precision
If excessive design samples are produced, then design accuracy is improved, but waste increases
Solution Approach 1:
The synchronization model creates accurate digital copies of physical denim fabric and washing effects, replacing the need for multiple physical design samples. This digital replication maintains design accuracy while eliminating the material waste associated with producing and discarding physical samples
Data Source
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AI summary
A denim laundry equalizer includes a user interface for receiving a editing command from users; a data input port for receiving an input data of the fabric; a data output port for outputting an output data of the fabric; a synchronization model for generating the output data of the fabric, based on the editing commands; wherein the output data is configured to form fabric visual effects matching the editing commands. The synchronization model allows for predictive modeling of denim fabric washing processes. This enables synchronization of the washing process formulations with a visualized digital model of the fabric, contributing to improved consistency, efficiency, and quality of the final product.