Dishwasher Feedback-Based Cycle Optimization for Cleaning Quality
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Solution Overview
Problem
Dishwashing machines lack effective mechanisms to adapt and improve their performance based on user feedback, leading to inconsistent cleaning quality, noise levels, and cycle duration, which can be unsatisfactory for users.
Innovation Solution
A method and system that solicits user input on dishwasher performance characteristics, identifies unsatisfactory aspects, and adjusts operational parameters such as wash pump pressure, cycle duration, and rinse aid usage, incorporating user preferences to optimize subsequent cycles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the dishwashing machine operates with fixed operational parameters, then the device complexity is reduced, but the cleaning quality and user satisfaction become inconsistent
Solution Approach 1:
The system solicits user feedback on cleaning quality and other performance characteristics after each cycle, then uses this feedback to automatically adjust operational parameters for subsequent cycles, creating a closed-loop system that improves cleaning quality without requiring complex manual intervention
Solution Approach 2:
The operational parameters (water temperature, spray pressure, cycle duration) are made dynamically adjustable based on user feedback rather than being fixed, allowing the system to adapt to varying user preferences and loading conditions while maintaining reasonable system complexity
2Adaptability or versatility
If the dishwashing machine adjusts multiple operational parameters based on user feedback, then the adaptability improves, but the ease of operation deteriorates due to additional user interaction requirements
Solution Approach 1:
The system performs self-adjustment of operational parameters automatically based on user feedback, eliminating the need for users to manually configure multiple settings. The machine serves itself by learning from user responses and making appropriate parameter adjustments without requiring user expertise or time
3Measurement precision
If the system collects and processes user feedback on multiple performance characteristics, then the measurement precision improves, but the loss of time increases due to additional solicitation steps
Solution Approach 1:
The system solicits user feedback on specific performance characteristics that are most relevant to operational parameter adjustment, rather than requiring comprehensive evaluation of all possible parameters. This partial action approach gathers sufficient data for effective adjustment while minimizing the time burden on users
Data Source
AI summary
A method of operating an appliance including determining user satisfaction with an operation cycle, adjusting at least one operational parameter of the cycle based on the user satisfaction, and incorporating the adjusted operational parameter into a subsequent cycle is disclosed along with the apparatus including a processor configured to perform the method.


