Laundry Treating Apparatus with User-Customizable Treatment Courses
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Solution Overview
Problem
Existing laundry treating apparatuses are inconvenient for users as they require predetermined treatment courses and option settings, which do not reflect individual user preferences or tendencies.
Innovation Solution
A laundry treating apparatus that allows users to create and store custom treatment courses, with options set according to personal preferences, and retains these settings even after power cycles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predetermined treatment courses and option settings are provided in the controller, then the apparatus can perform standardized laundry treatment, but the user convenience deteriorates because the settings do not reflect individual user preferences
Solution Approach 1:
The controller automatically performs preliminary actions by storing and recalling user-preferred setting values for each treatment course. When a user selects a treatment course, the controller automatically applies the previously stored preferred settings for options such as water level, temperature, and wash time, eliminating the need for users to re-adjust settings each time they use the apparatus.
Solution Approach 2:
The apparatus implements feedback by detecting which option settings users repeatedly adjust or prefer during treatment courses. The controller monitors user interactions with the control panel and automatically updates the stored preferred values based on these interactions, creating a self-learning system that adapts to individual user preferences over time.
2Adaptability or versatility
If users must change option setting values each time they use the apparatus, then the treatment can be customized, but the time required for operation increases
Solution Approach 1:
The controller performs preliminary action by pre-storing optimal setting values for each treatment course based on user preferences. When a treatment course is selected, the system automatically retrieves and applies these pre-stored settings, eliminating the need for users to manually adjust each option and significantly reducing operation time.
Solution Approach 2:
The apparatus provides self-service by automatically managing the setting values without requiring continuous user intervention. The system autonomously recalls preferred settings, applies them to the selected treatment course, and maintains these preferences across multiple uses, allowing users to simply select the treatment course without further configuration.
3Device complexity
If only existing preset courses are provided, then the device complexity is low, but the adaptability to user needs is insufficient
Solution Approach 1:
The control system transitions from a static preset course structure to a dynamic adaptive system. The controller automatically updates the preferred setting values for each treatment course based on user interactions, allowing the system to evolve and adapt to individual user preferences while maintaining the simple existing course framework.
Solution Approach 2:
The apparatus implements parameter changes by storing and modifying numerical setting values for various treatment options (water level, temperature, time, etc.) within each treatment course. The controller automatically adjusts these parameters based on user preferences, transforming the fixed preset courses into flexible, user-adapted treatment profiles without requiring additional hardware complexity.
Data Source
AI summary
A clothes treatment apparatus is disclosed, and the clothes treatment apparatus according to one embodiment of the present invention comprises: a cabinet; a drum, which can rotate inside the cabinet and accommodates clothes; and a control unit, which is provided inside the cabinet and has a plurality of treatment courses for treating the clothes, wherein the plurality of treatment courses include conventional courses preset in the control unit, and further include a user course, created in addition to the conventional courses, that allows a user to set options.