A drum washing machine and a control method for opening a door of the drum washing machine during running are provided. The control method comprises the following steps: S1, receiving a door opening instruction sent by a user; S2, judging whether a water level at a front end of a drum assembly of the drum washing machine satisfies a condition of opening the door, if yes, entering step S4, if no, entering step S3; S3, tilting the drum assembly with a tilting mechanism, and then returning to step S2; and S4, unlocking a door lock. Through a manner of lifting a front end of the drum assembly, the operation of opening the door during running is realized. In this way, the original parts of the washing machine do not need to be changed.

A water ozonation system (18) that receives source water (16) from a water source (14) and converts it to ozonated water (20) for use in a washing machine (12) includes a system body (30), an ozone generator (38), a sensor assembly (21), and a controller (46). The system body (30) receives the source water (16) from the water source (14). The ozone generator (38) is configured to generate ozone. The ozone generator (38) is coupled the system body (30). The sensor assembly (21) is also coupled to the system body (30). The sensor assembly (21) is configured to sense at least one ambient environmental condition and generate at least one electronic data signal based on the sensed at least one ambient environmental condition. The controller (46) receives the at least one electronic data signal from the sensor assembly (21) and regulates a level of ozone that is generated by the ozone generator (38) based at least in part on the at least one electronic data signal.

In any type of washing machine, an amount of laundry introduced into the washing machine may be measured in a short time with high accuracy. A washing machine includes a rotational spin tub into which laundry is introduced; a driving unit including a motor for rotating the spin tub; and at least one processor configured to control the driving unit to rotate the spin tub at first rotational speed, control the driving unit to rotate the spin tub at second rotational speed, and identify weight of the laundry based on acceleration at the time of changing of rotational speed of the spin tub from the first rotational speed to the second rotational speed and the second rotational speed.

Disclosed is an artificial intelligence (AI) apparatus comprising: a short-range communication module configured for sensing a plurality of laundry treatment apparatuses positioned around the AI apparatus; and a processor configured for: acquiring laundry information about laundry and characteristic information of each of the detected laundry treatment apparatuses; determining a laundry group corresponding to the laundry, based on the acquired laundry information; comparing characteristic information of the determined laundry group and characteristic information of each of the plurality of laundry treatment apparatuses with each other; and determining a laundry treatment apparatus for washing the laundry among the plurality of laundry treatment apparatuses based on the comparison result.

A dynamically adjustable textile dryer and method of controlling a conveyor belt speed of the textile dryer is provided. The speed of the belt is utilized to more quickly adjust the temperature of the drying chamber.

The disclosure provides a washing machine capable of preventing abnormal vibration caused by waterproof clothing during the spin-dry. The washing machine according to the disclosure includes a spin tub receiving laundry; a vibration sensor attached to a water tub that supports the spin tub inside the water tub and capable of detecting vibrations in a plurality of directions; and a processor configured to control rotation of the spin tub and determine a vibration type based on a detection value of the vibration sensor to determine whether there is waterproof clothing in the laundry.

A washing machine capable of operating in an IoT environment through a 5G communication network and estimating the type and amount of injected detergent through a neural network model created according to machine learning, and a method of controlling the washing machine, are provided. The washing machine may include a first tub into which laundry is loaded, a water supplier configured to supply washing water to the first tub, a detergent detection sensor configured to detect first conductivity and first turbidity of the washing water, and a processor configured to determine a washing cycle of the washing machine based on detected information.

A method of detecting a mechanical decoupling in a laundry appliance is provided. The laundry appliance includes a rotatable basket and a motor configured to drive the rotatable basket. The method includes determining a target rotational speed and activating the motor at a first rotational speed proportional to the determined target rotational speed. The method further includes determining an actual rotational speed after activating the motor at the first rotational speed and comparing the actual rotational speed to the target rotational speed. When the actual rotational speed is greater than the target rotational speed, the method determines that the motor is decoupled from the basket.

Disclosed are a method and apparatus for washing machine dehydration, and a washing machine. The method includes: step 1, detecting a current eccentricity value to serve as a first eccentricity value, and determining a first dehydration rotational speed value corresponding to the first eccentricity value; step 2, performing a corresponding dehydration operation; step 3, detecting another current eccentricity value to serve as a second eccentricity value, and determining a second dehydration rotational speed value corresponding to the second eccentricity value; step 4, if the second eccentricity value is smaller than the first eccentricity value, performing a corresponding dehydration operation, assigning the value of the second eccentricity value to the first eccentricity value and then performing the step 3; and step 5, if the second eccentricity value is greater than or equal to the first eccentricity value, performing a leveling operation, and then performing the step 3.

A method is provided for monitoring a supply of a cleaning agent. The method includes performing a check of whether the supply of the cleaning agent is likely to be used up. The check is based, at least in part, on quantity information which is representative of an amount of the cleaning agent in a user's supply and on consumption information which is indicative of the user's expected consumption behavior with respect to the cleaning agent. Further, a device is provided for performing the method for monitoring the supply of the cleaning agent.