Web Product Log Tracking for Defect-Aware Rewinding
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Solution Overview
Problem
Existing production plants face challenges in managing defects in web products during the rewinding process, leading to downtime and productivity issues, as well as difficulties in handling and processing logs of varying dimensions.
Innovation Solution
A method and plant for producing logs of continuous thin products that involve tracking defects in surface and/or thickness by identifying product parameters, storing this information in a database, and using ID codes to associate defects with specific logs, thereby optimizing subsequent processing steps and reducing downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If defects in web products are detected during the rewinding process, then product quality can be monitored, but production downtime increases and productivity decreases
Solution Approach 1:
The system performs preliminary defect detection and records defect information in a database before the rewinding process completes. By detecting defects early and storing their positions, the system allows for planned interventions rather than reactive stoppages, maintaining continuous production flow while ensuring quality control.
Solution Approach 2:
A database system acts as an intermediary between defect detection and production control. The database stores defect information and enables traceability without causing direct production stoppages. This intermediary layer allows quality management to proceed independently from the production rhythm, resolving the contradiction between quality monitoring and productivity.
2Adaptability or versatility
If secondary logs of different dimensions are produced simultaneously for multiple clients, then customer-specific requirements are met, but warehouse management becomes complex and error-prone
Solution Approach 1:
The system implements feedback loops where defect information and product parameters are continuously recorded in the database and used to guide subsequent production and warehouse management decisions. This feedback mechanism enables automated tracking of logs with different dimensions, reducing manual intervention and errors in warehouse management while maintaining adaptability to customer requirements.
Solution Approach 2:
The patent replaces manual warehouse management processes with an automated electronic database system. Instead of relying on physical organization and manual tracking of logs with varying dimensions, the system uses digital records stored in a database, accessible via ID codes, to manage and track products efficiently. This substitution reduces complexity and error rates in warehouse operations.
3Loss of information
If defect information is stored externally in a database system, then data management and traceability are improved, but system complexity increases
Solution Approach 1:
The system creates simplified copies or representations of defect information in the database, linked to products through ID codes. Rather than storing complex raw data, the database maintains essential defect characteristics and positions that are sufficient for quality control and traceability purposes. This copying approach reduces information loss while keeping the database structure manageable and accessible.
Data Source
AI summary
Method for producing logs (B1, B2) of continuous thin products, or web products, in optimized manner by tracking defects in the surface and/or in the thickness detected on the products, comprising •—a step of continuously winding a thin product (T) into logs (B1, B2) on a winding machine, in order to produce at least one primary log, •—a step of identifying any defects in the surface and/or the thickness of said continuous thin product, •—a step of storing in a database system (31), outside the primary log, information related to said defects comprising at least the position of said defects with respect to a reference system associated with the primary log, •—a step of assigning a primary ID code to said primary log, •—a step of marking said primary log with said primary code, •—a step of associating, in said database system (31), information on said defects with the primary ID code of the primary log, so that, in said database, to a given primary ID code information are associated related to defects in the surface and/or the thickness of the respective primary log, that can be identified based on their position on the primary log, •—a step of using said information on the defects of the primary log, stored in the database system (31), in order to optimize at least one subsequent processing of the product wound into the respective primary log, said use providing for recognizing the primary code of the primary log being processed and the processing of the product based on the information on the surface defects associated to the primary log.