Refrigeration and/or freezer device
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Solution Overview
Problem
Existing refrigerators and freezers operate with pre-defined parameters that do not account for varying user conditions, leading to suboptimal energy consumption and noise levels throughout their service life due to production tolerances and environmental factors.
Innovation Solution
A refrigerator or freezer with adjustable components and a control unit that measures operating parameters like energy consumption and noise emission, autonomously optimizing settings to achieve a global or local optimum over time, using sensor-based measurements and adaptive algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-defined parameters are used during production, then device complexity is reduced and ease of manufacture is improved, but energy consumption increases and operating efficiency deteriorates
Solution Approach 1:
The control unit performs preliminary measurements of operating parameters (energy consumption, noise emission) during a defined time period after device installation, then automatically optimizes component settings based on these measurements. This preliminary action allows the device to adapt to specific installation conditions and usage patterns, achieving optimal energy efficiency without increasing manufacturing complexity.
Solution Approach 2:
The device autonomously optimizes its own operating parameters by having the control unit automatically adjust component settings (compressor speed, fan speed, valve positions) based on measured performance data. This self-service capability enables the device to continuously improve its energy efficiency and operating characteristics without requiring manual intervention or complex factory programming.
2Manufacturing precision
If fixed parameter settings are applied, then manufacturing precision requirements are relaxed, but adaptability to different operating conditions deteriorates
Solution Approach 1:
The device transitions from static factory-defined parameters to dynamic adaptive parameters. The control unit continuously measures operating parameters and automatically adjusts component settings in real-time based on actual operating conditions, installation location, and usage patterns. This dynamic approach allows the device to adapt to varying conditions while accepting standard manufacturing tolerances.
Solution Approach 2:
The system changes operational parameters (component speeds, valve positions, timing) based on measured performance data collected during actual use. By monitoring energy consumption, noise emission, and other operating parameters, the control unit identifies optimal parameter combinations for specific installation conditions, enabling the device to achieve high adaptability without requiring precision manufacturing.
3Use of energy by moving object
If automated optimization is implemented, then energy consumption is reduced and operating efficiency is improved, but device complexity increases
Solution Approach 1:
The control unit implements a feedback mechanism by continuously measuring operating parameters (energy consumption, noise emission, temperature) and using this information to automatically adjust component settings. The system monitors performance during a defined time period, identifies optimal operating points, and applies corrections to component parameters, creating a closed-loop control system that reduces energy consumption without requiring complex manual intervention.
4Adaptability or versatility
If measurements are taken during operation, then adaptability to real conditions is improved, but measurement precision requirements increase
Solution Approach 1:
The control unit performs measurements of operating parameters during a defined time period that is longer than immediately necessary, collecting sufficient data to identify optimal operating conditions with high confidence. By measuring energy consumption, noise emission, and other parameters over an extended period, the system accumulates enough data to make accurate optimizations even with moderate measurement precision, avoiding the need for excessively precise measurement equipment.
Data Source
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AI summary
A refrigerator and/or freezer with at least one component adjustable with respect to at least one parameter, and a control unit configured to measure an operating parameter of the refrigerator and/or freezer and/or the at least one component and to automatically adapt and/or optimize a setting of the at least one component with respect to the at least one parameter such that the setting corresponds to a preferably global optimum detected within a specific time period. A method for optimizing the operating parameters of a refrigerator and/or freezer to a preferably global optimum occurring within a specific time period.