Digital Static Test Design for Inertia-Based Container Treatment Tuning
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Solution Overview
Problem
Generating a digital static test design (STD) for container treatment machines is time-consuming due to the varying dynamic behavior of these machines in response to changes in operating parameters, which affects the production quality and efficiency.
Innovation Solution
A computer-implemented method that predicts operating parameters based on target values of characteristic variables by varying operating parameters according to their inertia, allowing for a more efficient generation of the digital STD by minimizing the time required to reach stable states during parameter changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operating parameters are varied to generate digital STD, then prediction accuracy of the model is improved, but the time required to generate the STD increases
Solution Approach 1:
The patent segments the operating parameters into different groups based on their inertia characteristics (first operating parameters with larger inertia, second operating parameters with smaller inertia). This segmentation allows the generation process to be divided into phases where parameters with smaller inertia are varied more frequently, reducing the overall time required while maintaining sufficient data coverage for accurate prediction.
Solution Approach 2:
The patent implements periodic variation of operating parameters during the STD generation process. Parameters with smaller inertia are varied periodically and more frequently, while parameters with larger inertia are varied less frequently. This periodic action optimizes the balance between exploring the parameter space sufficiently for accurate predictions and minimizing the time required for generation.
2Adaptability or versatility
If operating parameters are varied frequently to improve model coverage, then the comprehensiveness of the digital STD is improved, but the energy consumption increases
Solution Approach 1:
The patent segments operating parameters into first operating parameters (larger inertia) and second operating parameters (smaller inertia). This segmentation enables differentiated variation strategies where parameters with smaller inertia are varied more frequently to achieve comprehensive model coverage, while parameters with larger inertia are varied less frequently, thereby reducing overall energy consumption during the STD generation process.
Solution Approach 2:
The patent changes the variation frequency of operating parameters based on their inertia characteristics. By adjusting how frequently each parameter is varied according to its inertia properties, the system achieves comprehensive model coverage for accurate predictions while optimizing energy consumption by avoiding unnecessary frequent variations of parameters that require more energy and have larger inertia.
Data Source
AI summary
A computer-implemented method for generating a digital static test design (STD) of a container treatment machine. The digital STD can predict a value of an operating parameter of the container treatment machine based on a target value of a characteristic variable of a container to be treated. The method includes obtaining a obtaining a parameter inertia for operating parameters of the container treatment machine; operating the container treatment machine with a fixed operating parameter value of a first operating parameter with a first parameter inertia and varying at least one second operating parameter with a smaller second parameter inertia than the first parameter inertia; determining at least one characteristic variable of a treated container depending on the operating parameter value of the first operating parameter and the operating parameter values of the second operating parameter; and generating the digital STD based on the operating parameter values and the characteristic variable.