AI Voice Washing Control for Mixed Loads and Stain Removal
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Solution Overview
Problem
Washing machines face difficulties in determining the optimal laundry course when multiple types of laundry are inputted simultaneously, leading to conflicting recommendations and inadequate handling of contaminants, resulting in prolonged washing times and incomplete stain removal.
Innovation Solution
A speech recognition system that identifies cloth-words and stain-words to determine appropriate laundry courses, configures separate washing units, and provides guidance for effective contaminant removal, allowing for simultaneous washing of different laundry types without dye migration or contamination spread.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the washing machine notifies the user to remove laundry relating to conflicting laundry courses, then the washing machine can avoid washing conflicts, but the total washing time increases and productivity decreases
Solution Approach 1:
The washing machine divides the washing process into separate washing units (main washing unit and auxiliary washing unit) that can operate independently and simultaneously. This allows different types of laundry with conflicting course requirements to be washed in parallel, resolving the contradiction between washing correctness and washing efficiency.
2Reliability
If the washing machine washes different kinds of laundry by separate laundry courses sequentially, then the washing correctness is maintained, but the total washing time is lengthened
Solution Approach 1:
The patent transitions from sequential washing (one-dimensional time progression) to parallel washing by introducing a spatial dimension with multiple washing units. This allows the washing machine to maintain high washing quality for different laundry types while significantly reducing the total washing time by operating multiple units simultaneously.
3Device complexity
If the washing machine uses a single washing unit for all laundry types, then the device complexity is reduced, but the washing quality for specific contaminants deteriorates
Solution Approach 1:
The auxiliary washing unit is designed with multi-functionality, capable of performing various specialized washing tasks such as stain removal, delicate fabric washing, and rapid washing. This allows the system to maintain simplicity in the main washing unit while achieving high contaminant removal effectiveness through the versatile auxiliary unit.
4Ease of operation
If the washing machine provides detailed washing method guidance for each contaminant, then the user satisfaction improves, but the information processing complexity increases
Solution Approach 1:
The washing machine automatically detects the type of laundry and contaminants, then autonomously selects and executes the appropriate washing course without requiring complex user input or decision-making. This self-service capability improves user convenience while avoiding the need for complex information processing and user guidance systems.
Data Source
AI summary
The present invention relates to a washing machine and a server system that recommend a laundry course and washing tip information in consideration of information on a kind of laundry and a degree of contamination inputted by using artificial intelligence through speech recognition, and a method for controlling such washing machine and server system. The present invention extracts a cloth-word indicating a kind of clothes of laundry and a stain-word indicating a kind of contaminant. Then, the present invention determines a laundry course in consideration of the cloth-word. Then, washing tip information on the stain-word is searched in a pre-stored database and the searched washing tip information is provided to a user. As a result, the user can be notified of a washing method capable of effectively removing the contaminant.