A control method for a garment processing device, the garment processing device, and a terminal device.
By acquiring detergent information from garment processing equipment, user historical cleaning information, and environmental information, and using a deep learning model to calculate recommended cleaning temperature and dosage, the problem of unintelligent detergent dispensing in existing technologies is solved, achieving efficient cleaning at the optimal enzyme activity temperature.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUXI FILIN ELECTRONICS CO LTD
- Filing Date
- 2024-12-31
- Publication Date
- 2026-06-30
AI Technical Summary
Existing garment cleaning equipment is not intelligent enough in terms of detergent dispensing, resulting in a large discrepancy between the actual amount dispensed and the actual needs of the garments and user expectations, thus reducing the cleaning effect.
By acquiring information on cleaning agents, users' historical cleaning information, load capacity, and environmental information of the area where the laundry processing equipment is located, a deep learning model is used to calculate the recommended cleaning temperature and recommended cleaning agent dosage, and the target cleaning agent dosage is determined based on the cleaning temperature selected by the user.
It achieves a more intelligent detergent dispensing method, ensuring that the minimum amount of detergent is used to achieve the best cleaning effect at the temperature of optimal enzyme activity, reducing waste and improving cleaning results.
Smart Images
Figure CN122304133A_ABST