Textile Machine Adjustment Guidance for Consistent Product Quality
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Solution Overview
Problem
The adjustment of textile machines for manufacturing high-quality textile products is complex and often requires extensive prior knowledge, making it difficult for inexperienced operators to achieve optimal settings, which can lead to suboptimal product quality and increased maintenance costs.
Innovation Solution
A data-based assistance system that receives input parameters such as starting material properties, machine type, production targets, and climatic conditions to automatically determine and provide adjustment recommendations for textile machine components and production parameters, enabling optimal machine adjustment without extensive prior knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If machine operators rely on general guides in service booklets for machine adjustments, then the machine can be operated with basic instructions, but the quality of the textile product deteriorates due to lack of expertise
Solution Approach 1:
The patent introduces a database as an intermediary between the service booklet and the machine operator. This database contains pre-stored, optimized adjustment parameters for different starting materials and production targets, acting as a mediator that translates general guidelines into specific, expert-level recommendations without requiring the operator to have extensive knowledge
Solution Approach 2:
The patent applies preliminary action by pre-calculating and storing optimal machine adjustments in a database before actual production occurs. The database contains adjustment parameters that have been predetermined based on various starting materials and production targets, allowing operators to retrieve ready-made recommendations rather than calculating adjustments in real-time
2Manufacturing precision
If extensive training is provided to machine operators to improve adjustment quality, then the quality of textile products improves, but training costs and time consumption increase
Solution Approach 1:
The patent uses copying by creating a digital repository of expert knowledge in the form of a database. Instead of transferring knowledge through time-consuming training programs, the system copies and stores optimized adjustment parameters that can be instantly retrieved and applied, effectively copying expert performance without the need to replicate the expert's training
3Manufacturing precision
If experienced machine operators and service staff are retained to maintain adjustment quality, then product quality is maintained, but costs increase due to limited availability and retirement
Solution Approach 1:
The patent implements self-service by enabling the machine operator to independently access and apply optimized adjustment parameters through the database system. The operator no longer needs to rely on experienced staff for guidance, as the system provides self-contained, expert-level recommendations that empower the operator to make quality adjustments autonomously
Data Source
AI summary
A control method obtains an adjustment recommendation for a textile machine by receiving input parameters and automatically determining an adjustment recommendation suitable for the manufacture of a textile product by the textile machine. The adjustment recommendation determined as a function of the input parameters and affects one or more production parameters of the textile machine. An output parameter that contains data information from the adjustment recommendation is generated and used to change operation of the textile machine.