Control method of clothes care system

Through real-time monitoring and machine learning evaluation, dynamically divide the accuracy and risk levels of sensor identification results, solving the problem that scale deposition in hard water affects the accuracy of clothing care systems, and achieving optimized washing effects and extending equipment life.

CN119711107AInactive Publication Date: 2025-03-28SHANGHAI KEYU HEALTH TECH CO LTD
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Patent Information

Application Number
CN202411855174.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Calcium and magnesium ions in hard water precipitate to form scale after heating, which adheres to the sensors of the clothing care system, resulting in a decrease in sensor sensitivity and accuracy, and the degree of stains on the clothing cannot be accurately identified, which will affect the correct estimation of detergent and water volume, resulting in poor washing effect.

Method used

By monitoring the optical signal detection information and spectral absorption analysis information of the sensor in real time, using machine learning models for intelligent evaluation, dynamically divide the accuracy and risk levels of identification results, timely warnings and maintenance measures are issued to avoid identification errors caused by scale deposition.

Benefits of technology

It effectively avoids identification errors caused by scale deposition, prevents the system from misaligning the detergent dosage or water amount, optimizes the washing effect, reduces the waste of repeated cleaning, and intervenes in the early stage of sensor problems, reduces maintenance costs, and extends the service life of the equipment.

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Abstract

The invention discloses a control method of a clothes care system, and relates to the technical field of clothes care, and the method comprises the following steps: during the operation of an intelligent washing machine clothes care system, various parameter information generated by a sensor in a clothes stain identification process is obtained in real time, and the parameter information comprises optical signal detection information and spectral absorption analysis information; according to the invention, optical signal detection information and spectral absorption analysis information of the sensor are monitored in real time, and intelligent evaluation is carried out by using a machine learning model, so that the system can dynamically divide the accuracy and risk level of an identification result, and it is ensured that early warning is given out and maintenance measures are taken in time in a low-accuracy or abnormal state. In this way, identification errors caused by scale deposition are effectively avoided, mistaken adjustment of the detergent dosage or the water amount is prevented, the washing effect is optimized, and waste caused by repeated washing is reduced. In addition, a risk early warning mechanism can intervene in the early stage of sensor problems, the maintenance cost is reduced, the service life of equipment is prolonged, and the user experience is improved.
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