Textile Product Data Model for Manufacturing and Visualization
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Solution Overview
Problem
Current textile product specification methods are incomplete, lacking details such as button placement, zipper type, rivet placement, seam location, and textile choices, leading to labor-intensive processes and inefficiencies in both manufacturing and visualization, especially in electronic commerce.
Innovation Solution
A comprehensive system that establishes data types, valid values, and relationships for textile products, allowing for the creation of a common model that can be translated into destination-specific models for both manufacturing and visualization systems, including instructions for CNC cutters and sewing stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a common specification model is established for both manufacturing and visualization, then labor intensity is reduced and efficiency is improved, but the complexity of the system increases due to establishing data types, valid values, and relationships
Solution Approach 1:
The patent establishes a universal data model that serves dual purposes: manufacturing instructions and visualization specifications. This single model structure can be adapted to generate both manufacturing output (G-code, cutting instructions) and visualization output (rendering, simulation), eliminating the need for separate specification systems and reducing overall labor intensity despite the initial complexity of model creation
Solution Approach 2:
The patent introduces an intermediary layer (the structured data model with defined data types, valid values, and relationships) that mediates between user input and multiple output systems. This intermediary structure standardizes information flow and enables automated translation to both manufacturing and visualization formats, improving efficiency while managing complexity through abstraction
2Ease of manufacture
If existing standards like ASTM D6673-10 are used for pattern data exchange, then pattern piece data transfer is facilitated, but the specification remains incomplete lacking details such as button placement, zipper type, rivet placement, seam location, and textile choices
Solution Approach 1:
The patent segments the product specification into distinct, structured data types (e.g., button placement, zipper type, rivet placement, seam location, textile choices) that can be independently defined and validated. This segmentation allows comprehensive coverage of all product details while maintaining organized, manageable data structures that build upon existing pattern exchange capabilities
Solution Approach 2:
The patent extends the traditional 2D pattern exchange framework by adding another dimension of product specification details (fasteners, seams, materials, etc.) through a structured data model. This additional dimension captures comprehensive product information without disrupting the established pattern data exchange workflow, enabling both complete specification and ease of manufacture
Data Source
AI summary
Preparing textile products by establishing, by a textile product system, data types, valid values for each data type, and valid relationships between the data types encompassing specification of textile products for manufacturing and visualization of the textile products. Receiving, from a user, a first data set comprising values of data types and relationships between the data types associated with at least one of manufacturing of a particular textile product and visualization of the particular textile product. Determining whether the received first data set conforms to the data type, data value, and data relationships valid for at least one of the manufacturing of textile products and the visualization of textile products.