Control of a dishwasher
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Solution Overview
Problem
Current dishwasher programs cannot be effectively adapted to individual user preferences or habits, failing to utilize the full capabilities of the dishwasher, such as load sensors and zeolite drying, leading to suboptimal cleaning cycles.
Innovation Solution
A method that captures user preferences and satisfaction feedback to optimize dishwasher parameters, such as cycle time, water temperature, and detergent usage, by determining the importance of conflicting preferences and providing recommendations for manual adjustments or automatic optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dishwasher programs are fixed with standard parameters, then device complexity is reduced and ease of operation is improved, but adaptability to user preferences and optimization of cleaning capabilities are worsened
Solution Approach 1:
The system captures user feedback on cleaning results and uses this information to automatically adjust program parameters in subsequent cycles. The control device stores user inputs about satisfaction with cleaning results and modifies parameters such as water temperature, cycle time, and detergent dosage based on this feedback, enabling continuous optimization without increasing operational complexity for the user.
Solution Approach 2:
The dishwasher system performs self-adjustment of its cleaning programs by automatically processing user feedback and modifying its own operating parameters. The control device autonomously analyzes captured user preferences and satisfaction levels, then autonomously optimizes program parameters without requiring manual intervention or complex user configuration, allowing the system to serve itself in adapting to user needs.
2Reliability
If multiple parameters are optimized for user satisfaction, then cleaning quality and user preference matching are improved, but energy consumption and time requirements increase
Solution Approach 1:
The system dynamically adjusts multiple operating parameters including water temperature, cycle duration, water pressure, and detergent dosage based on captured user preferences and feedback. By optimizing these parameters interactively, the system achieves high cleaning quality while avoiding excessive energy consumption through intelligent parameter selection rather than always using maximum settings.
Solution Approach 2:
The system applies optimization selectively based on user preferences and captured feedback rather than always using maximum resource consumption. It adjusts parameters to the extent necessary to achieve user-satisfaction thresholds, avoiding unnecessary energy and time expenditure while maintaining reliable cleaning quality.
3Adaptability or versatility
If user feedback is captured and processed interactively, then program adaptation to user habits is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The control device captures user feedback on cleaning results and uses this information to automatically adjust program parameters in subsequent cycles. The system stores user inputs about satisfaction levels and automatically processes this feedback to modify parameters such as water temperature, cycle time, and detergent dosage, enabling continuous adaptation to user habits without requiring complex user configuration interfaces.
Solution Approach 2:
The dishwasher system performs self-adjustment of its cleaning programs by automatically processing user feedback and modifying its own operating parameters. The control device autonomously analyzes captured user preferences and satisfaction levels, then autonomously optimizes program parameters without requiring manual intervention or complex user configuration, allowing the system to serve itself in adapting to user needs.
4Productivity
If standard cleaning programs are used, then ease of operation is improved and device complexity is reduced, but productivity and efficient use of dishwasher capabilities are worsened
Solution Approach 1:
The dishwasher system performs self-adjustment of its cleaning programs by automatically processing user feedback and modifying its own operating parameters. The control device autonomously analyzes captured user preferences and satisfaction levels, then autonomously optimizes program parameters without requiring manual intervention or complex user configuration, allowing the system to serve itself in adapting to user needs.
Solution Approach 2:
The system dynamically adjusts multiple operating parameters including water temperature, cycle duration, water pressure, and detergent dosage based on captured user preferences and feedback. By optimizing these parameters interactively, the system achieves high cleaning quality while avoiding excessive energy consumption through intelligent parameter selection rather than always using maximum settings.
Data Source
AI summary
In a method for controlling a dishwasher, a user preference is captured for a cleaning cycle of the dishwasher. Parameters associated with a cleaning cycle of the dishwasher are read over a plurality of cleaning cycles, and a user input that indicates satisfaction by the user with one of the cleaning cycles is captured. An optimization is determined of a parameter of the parameters on the basis of the user input and the user preference.