Material-Aware Sewing Information Generation Across Multiple Machines
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Solution Overview
Problem
In existing sewing machine systems, generating data for sewing patterns and operation settings for each machine is manually performed for each process, which is time-consuming and complicated, especially when the same process is repeated across multiple machines.
Innovation Solution
A sewing system that includes an item information acquisition unit to gather data on materials and a sewing information generation unit to generate operating conditions for sewing machines, reducing the need for manual input and streamlining the preparation process across multiple machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data generation is performed for each sewing machine, then data accuracy can be maintained, but the time required and labor intensity increase significantly
Solution Approach 1:
The patent uses a database to store sewing data that can be copied and applied across multiple sewing machines. Instead of manually creating data for each machine, the system copies verified data from the database, ensuring accuracy while reducing preparation time and labor intensity.
Solution Approach 2:
The patent replaces manual mechanical data entry processes with an automated information processing system. The control device automatically acquires item information, generates sewing information, and manages data across multiple machines, eliminating time-consuming manual operations while maintaining data accuracy through systematic processing.
2Reliability
If manual operation settings are created for each machine, then machine-specific optimization is achieved, but the complexity and labor required increase
Solution Approach 1:
The patent creates a universal database that stores sewing information applicable to multiple machines. The control device can acquire item information and generate sewing settings for any machine in the system, providing machine-specific optimization through a single unified system rather than separate manual configurations for each device.
Solution Approach 2:
The control device performs self-service by automatically acquiring item information, generating appropriate sewing information, and managing settings without requiring manual intervention. The system optimizes machine-specific parameters automatically based on the item information, reducing both labor and system complexity.
3Manufacturing precision
If separate data is created for each sewing machine, then data specificity is maintained, but the time required for preparation increases
Solution Approach 1:
The patent maintains data specificity by copying verified item information and generating machine-specific sewing information from a centralized database. This approach preserves the precision needed for each machine while eliminating the time-consuming process of creating separate data from scratch for each device.
Solution Approach 2:
The patent implements preliminary action by pre-storing verified sewing data in the database before actual production. The control device can quickly acquire and apply pre-processed information, maintaining data specificity for each machine while dramatically improving preparation efficiency by avoiding redundant data creation during setup.
Data Source
AI summary
A sewing system includes an item information acquisition unit that acquires item information including material information indicating information on materials including fabric to be sewn and thread used for sewing, and a sewing information generation unit that generates sewing information based on the item information. The sewing information includes operating conditions of a sewing machine that performs sewing.


