A control method and apparatus of a laundry treating apparatus, and a laundry treating apparatus

By using infrared temperature sensors to detect temperature matrix data in garment processing equipment and calculating indicators such as range and rate of change, high-accuracy empty bin detection is achieved, solving the problem that weighing sensors are easily affected by the environment, and improving the energy efficiency of the equipment and the user experience.

CN122169308APending Publication Date: 2026-06-09QINGDAO HAIER WASHING ELECTRIC APPLIANCES CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINGDAO HAIER WASHING ELECTRIC APPLIANCES CO LTD
Filing Date
2024-12-06
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In existing garment processing equipment, the weighing sensors are easily affected by environmental factors when detecting empty bins, resulting in low detection accuracy and complex maintenance. This also fails to effectively avoid unnecessary heating and rotation, leading to energy waste and safety hazards.

Method used

Infrared temperature sensors are used to detect temperature data in the inner drum of the garment processing equipment. By calculating statistical indicators such as temperature range and rate of change, it is determined whether the equipment is empty, thus avoiding reliance on and maintenance of weighing sensors.

Benefits of technology

It improves the accuracy of empty bucket detection, reduces energy waste and noise, enhances user experience and satisfaction, and avoids safety hazards caused by empty bucket operation.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a control method, apparatus, and garment processing device for a garment processing equipment, relating to the field of smart home technology. The method includes: when the garment processing equipment is detected to be activated, first executing a heating program for a first duration, followed by a second duration of rest, and then collecting temperature matrix data of the garment processing equipment's drum over a third duration; calculating statistical values ​​of statistical indicators based on the temperature matrix data; comparing the statistical values ​​with reference values ​​corresponding to an empty drum state, and determining whether the drum is empty based on the comparison result. The technical solution provided by this application can improve the accuracy of empty drum detection, and eliminates the need for calibration and maintenance, thereby enhancing the user experience and satisfaction of using the garment processing equipment.
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