Washing Machine Course Prioritization for Diverse Laundry Requirements
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional washing and drying machines struggle to accommodate the diverse and evolving needs of users with complex and subdivided laundry requirements, making it difficult to select appropriate washing and drying courses.
Innovation Solution
An electronic device that identifies and prioritizes washing or drying courses based on input conditions, allowing users to customize lists according to factors like required time, completion time, object type, color, soil level, energy consumption, and damage sensitivity, and provides animation images for progress tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple washing and drying courses are provided to accommodate diverse user needs, then the adaptability and versatility improve, but the device complexity and difficulty of operation increase
Solution Approach 1:
The system automatically identifies and prioritizes object treating courses based on input conditions without requiring manual configuration. The processor autonomously generates a prioritized list of washing and drying courses by analyzing user inputs such as required time, completion time, object type, color, soil level, energy consumption preferences, and damage sensitivity, thereby resolving the contradiction between providing diverse courses and maintaining simplicity.
Solution Approach 2:
The system dynamically adjusts and prioritizes courses based on multiple parameters including required time, completion time, object characteristics, energy consumption, and damage sensitivity. By changing and optimizing these parameters automatically, the system adapts to diverse user needs while keeping the user interface simple and easy to operate.
2Adaptability or versatility
If multiple washing and drying courses are provided to accommodate diverse user needs, then the adaptability and versatility improve, but the ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically generating and prioritizing the list of object treating courses based on user inputs. Users simply need to provide basic conditions, and the processor autonomously handles the complex task of course selection and prioritization, making the system both versatile and easy to operate.
Solution Approach 2:
The system performs preliminary action by pre-identifying and prioritizing all possible object treating courses before the user makes a selection. This preliminary processing of multiple parameters and courses prepares a ready-to-use prioritized list, eliminating the need for users to manually evaluate complex options and thereby improving ease of operation while maintaining versatility.
3Measurement precision
If the system provides detailed prioritization based on multiple parameters, then the measurement precision and information quality improve, but the device complexity increases
Solution Approach 1:
The processor performs self-service by automatically analyzing and prioritizing courses based on multiple parameters including required time, completion time, object characteristics, energy consumption, and damage sensitivity. This autonomous parameter analysis achieves high measurement precision without increasing user-facing complexity, as the system handles the complex calculations internally.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously analyzing user inputs and adjusting the prioritization of object treating courses accordingly. The processor uses feedback from multiple parameters to dynamically refine the prioritization, achieving high precision in course recommendations while maintaining a simple user interface that does not expose the underlying complexity.
Data Source
AI summary
Disclosed is an electronic device. The electronic device comprises: a display and a processor, wherein, when at least one condition among the time required to treat an object and an object treatment completion time is input, the processor identifies a plurality of object treatment courses that comply with the condition, identifies the order of priority of the plurality of object treatment courses according to predetermined criteria, and controls the display to provide a list listing information about the plurality of object treatment courses on the basis of the identified order of priority, wherein the object treatment is a process in which an object is cleaned or dried by means of at least one among a cleaning operation and a drying operation.