Container Treatment Tracking for Rejected Bottle Quality Correlation
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Solution Overview
Problem
Current beverage container production processes lack efficient inline measurement capabilities for quality control and process optimization, relying on destructive and complex offline methods that are time-consuming and do not allow for precise association of working parameters with container performance data.
Innovation Solution
A method and apparatus that uniquely identify and associate container performance characteristics with working parameters using identification information, enabling continuous storage of production and performance data, and using a model to optimize container performance automatically or semi-automatically in real-time by correlating inline and offline measurements.
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 because containers are destroyed and cannot be used
Solution Approach 1:
The patent uses service rejections (containers that would otherwise be discarded) as disposable test specimens for quality measurements. These rejected containers are specifically designated for laboratory testing, allowing destructive measurements to be performed on containers that have already been removed from the production line, thus not affecting overall productivity while maintaining measurement precision
2Device complexity
If random container sampling is used for quality assurance, then measurement complexity is reduced, but measurement precision deteriorates because specific working parameters cannot be accurately associated with test results
Solution Approach 1:
The patent implements a feedback system where test results from laboratory measurements are fed back to identify and record the specific working parameters (pressure, temperature, time) that produced each tested container. This creates a closed-loop system where measurement data is continuously correlated with process parameters, enabling precise parameter-result associations while maintaining relatively simple measurement procedures
Solution Approach 2:
The patent performs preliminary recording of working parameters and container identification data before the actual quality measurements are taken. By pre-associated metadata (timestamp, pressure curve, temperature profile) with each container, the system ensures that when a container is tested, all relevant process data is already available, eliminating the need for complex real-time data correlation during measurement
3Device complexity
If manual recording of working parameters is used, then device complexity is reduced, but loss of information increases because data may be lost or incorrectly associated with containers
Solution Approach 1:
The patent replaces manual mechanical recording processes with automated electronic data capture and processing systems. Working parameters are automatically recorded by sensors and control systems, and container identification data is electronically linked to process data through automated timestamping and database management, eliminating human error while maintaining system accessibility
Solution Approach 2:
The patent creates electronic copies of working parameter data and container identification information that can be stored, retrieved, and analyzed without affecting the original production process. These digital copies enable multiple users to access and analyze the same data simultaneously, and provide backup protection against data loss while keeping the primary recording system relatively simple
4Ease of operation
If service rejections are used for quality assurance without time stamping, then ease of operation is improved, but loss of time increases because identifying corresponding production data becomes time-consuming
Solution Approach 1:
The patent performs preliminary time-stamping of container identification data and working parameter recordings at the moment of container production. This pre-associated temporal data allows operators to instantly retrieve all relevant process information for any tested container by simply querying the database with the container ID, eliminating time-consuming manual searches while keeping the measurement operation itself simple and straightforward
Data Source
AI summary
Disclosed is a method for treating containers, wherein the containers are transported along a predetermined transport path by a transport device and are treated in a predetermined manner by a first treatment device, wherein predetermined working parameters are used for the treatment of the container, wherein individual containers being inspected after their treatment and at least one variable characteristic of a quality of this container being determined, wherein that at least one identification information is generated by an inspected container and/or an inspection operation can be uniquely identified.