Container Identification for Inline Quality Parameter Correlation
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Solution Overview
Problem
Current methods for quality control and optimization of beverage container production are inefficient, relying on destructive and complex offline measurements that do not allow for real-time data correlation and parameter optimization, leading to difficulties in identifying optimal working parameters and environmental conditions.
Innovation Solution
A method and device that transport containers along a predetermined path, treat them with specific parameters, and use identification information to link performance characteristics with working parameters, enabling continuous data storage and real-time optimization through a model that correlates production and performance data, allowing for inline and offline measurement integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If destructive laboratory measurements are used for quality control, then measurement precision is improved, but productivity deteriorates due to container destruction and inability to perform inline measurements
Solution Approach 1:
The patent uses optical copying methods (photography, videography) to create images of containers at different production stages. These images serve as non-destructive copies that can be analyzed for quality control without destroying the actual containers, allowing inline measurement and maintaining production throughput.
Solution Approach 2:
The patent replaces mechanical/physical destructive testing methods with optical field-based measurement methods. Instead of applying mechanical stress or chemical analysis that destroys samples, the system uses light-based imaging and optical measurement techniques to assess container quality non-destructively.
2Measurement precision
If complex offline measurement methods are used, then measurement precision is improved, but device complexity deteriorates and inline measurement becomes impossible
Solution Approach 1:
The patent replaces complex mechanical measurement devices with optical measurement systems. Cameras, lights, and image processing algorithms substitute for complex mechanical testing equipment, reducing mechanical complexity while enabling inline measurement capabilities.
Solution Approach 2:
The patent introduces images as an intermediary between the container and the measurement system. Instead of direct complex physical measurement, the system captures optical images and uses image processing to extract quality parameters, simplifying the measurement pathway.
3Measurement precision
If containers are randomly removed for inspection, then measurement precision is improved, but loss of time increases due to inability to trace back working parameters
Solution Approach 1:
The patent implements a feedback system where images and measurement data are continuously captured and linked to production parameters in real-time. This creates a traceable feedback loop that allows immediate retrieval of working parameters associated with each inspected container, eliminating time delays.
Solution Approach 2:
The patent performs preliminary capture and storage of production parameters and images during the manufacturing process itself. By recording all relevant data upfront and linking it to container identifiers, the system eliminates the need for time-consuming parameter retrieval after inspection.
4Manufacturing precision
If multiple pressure levels and stretch rod movements are applied, then manufacturing precision is improved, but device complexity deteriorates with multitude of operating parameters
Solution Approach 1:
The patent uses images as intermediaries to capture and analyze the effects of complex manufacturing parameters. Instead of directly measuring and controlling each pressure and movement parameter, the system captures optical images that reflect the cumulative effect of all parameters, simplifying the control and monitoring process.
Solution Approach 2:
The patent replaces complex mechanical parameter measurement and control systems with optical measurement systems. Cameras and image processing algorithms substitute for numerous sensors and control devices, reducing device complexity while maintaining manufacturing precision through visual feedback.
Data Source
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AI summary
Method for treating containers, wherein the containers are transported along a predetermined transport path by means of a transport device (2) and are treated by a first treatment device in a predetermined manner, wherein predetermined working parameters (P1, P2, P3) are used for the treatment of the container, wherein individual containers are inspected after their treatment and at least one characteristic parameter for the quality of this container is determined, characterized in that at least one identification piece of information is generated by means of which an inspected container and/or an inspection process can be uniquely identified.