Method for operating a coffee machine
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Solution Overview
Problem
Coffee machines have limited variability in operating parameters, restricting their operation and resulting in suboptimal coffee quality, as parameters such as system pressure and water temperature are typically fixed for specific coffee drinks.
Innovation Solution
A method using a pomace model for simulating coffee drink preparation, allowing for variable setting of operating parameters based on simulation parameters, enabling improved quality and reduced resource usage by optimizing parameters like extraction and concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If parameters such as system pressure and water temperature are fixed for specific coffee drinks, then the coffee machine operates reliably with simple control, but the variability and adaptability of operating parameters are limited
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting operating parameters (pressure, temperature, flow rate) based on simulation results from the coffee grounds model. The system transitions from fixed parameters to variable parameters that are optimized in real-time according to the simulated extraction processes, enabling adaptability while maintaining manageable complexity through automated control.
Solution Approach 2:
The patent uses a coffee grounds model that creates a virtual copy of the actual coffee preparation process. This digital twin allows simulation and optimization of operating parameters before actual execution, enabling the system to explore parameter variability without directly complicating the physical machine's control structure.
2Manufacturing precision
If more coffee powder is used, then the quality and concentration of coffee beverage can be improved, but the resource consumption including energy, CO2 and water increases
Solution Approach 1:
The patent optimizes the quality-energy trade-off by changing operating parameters (pressure, temperature, flow rate, contact time) to maximize extraction efficiency. The coffee grounds model simulates different parameter combinations to identify optimal settings that achieve high beverage quality with minimal coffee powder usage, thereby reducing the energy required for heating water and processing.
Solution Approach 2:
The system implements feedback through the coffee grounds model that continuously simulates extraction processes and provides information on optimal parameter adjustments. This feedback loop enables the system to minimize resource consumption by precisely controlling parameters to achieve the desired quality threshold without excessive coffee powder usage.
3Productivity
If fixed parameters are used for coffee preparation, then the operation is simple and reliable, but the ability to optimize extraction and reduce waste is limited
Solution Approach 1:
The patent improves productivity by dynamically adjusting parameters to optimize extraction efficiency. The coffee grounds model simulates various parameter combinations to identify settings that maximize coffee yield per unit of powder, reducing waste while increasing production efficiency. Parameters such as contact time, pressure, and temperature are optimized to extract maximum value from each gram of coffee powder.
Solution Approach 2:
The system performs preliminary simulation using the coffee grounds model before actual coffee preparation. This preliminary action allows optimization of parameters to predict and prevent waste, ensuring that the actual preparation process uses minimal coffee powder to achieve the desired output, thereby improving productivity and reducing substance loss.
4Manufacturing precision
If simulation and automated control are implemented, then the quality and optimization of coffee preparation is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent manages complexity by creating a simplified digital copy (coffee grounds model) of the physical preparation process. This model uses mathematical representations of extraction phenomena to simulate outcomes without requiring complex physical modifications to the machine. The copy enables quality optimization through virtual experimentation while keeping the actual device relatively simple.
Solution Approach 2:
The patent replaces complex mechanical control adjustments with computational simulation and automated control algorithms. Instead of requiring complex mechanical systems to manually optimize each parameter, the system uses software-based coffee grounds modeling to determine optimal settings, substituting mechanical complexity with informational processing that achieves higher precision.
Data Source
Figure 1~2

AI summary
The present invention relates to a method for operating a coffee machine (1) which prepares coffee beverages during operation. Increased variability in the preparation of the coffee beverages and improved quality of the prepared coffee beverages are achieved by simulating the preparation of the coffee beverage using a coffee grounds model and determining at least one simulation parameter from the simulation, wherein the coffee machine (1) is operated depending on the simulation parameter. The invention also relates to a computer program for executing the method and to a coffee machine (1) operated in this manner.