A method of controlling a washing machine that includes a drum rotatably provided in a tub that receives water, at least one nozzle spraying water into the drum, a washing motor rotating the drum, and a circulation pump circulating water within the washing machine, the method including: operating the washing motor to rotate the drum in a first rotational direction while repeatedly alternating between an acceleration and a deceleration of the drum so that laundry in the drum alternates between maintaining contact with an inner surface of the drum during acceleration, and separates from the inner surface of the drum during deceleration; and operating a circulation pump motor in the circulation pump, while the drum rotates in the first rotational direction, to accelerate a pump speed of the circulation pump during the acceleration of the drum, and to decelerate the pump speed during deceleration of the drum.

Disclosed herein is a drum type washing machine capable of obtaining a high-water saving effect. The drum type washing machine comprises at least one processor configured to control a drive device configured to rotate a drum, a water supplier configured to supply water to a tub, and a sprinkler configured to spray water stored in the tub toward laundry accommodated in the drum. The drum comprises a lifter and a plurality of rear through-holes. The at least one processor is configured to perform a water spray process while rotating the drum in a state in which an amount of wash water absorbable by the laundry is maintained in the tub, in a washing cycle. In the water spray process, a waiting process, in which driving a circulation pump 91 is stopped, is intermittently and repeatedly performed.

A laundry washing machine and method automate the selection of a load type for a laundry washing machine based in part on sensing multiple times during an initial fill phase of a wash cycle and based in part on a fluid level sensed by a fluid level sensor operatively coupled to a wash tub. The dynamic selection may be based at least in part on a first time at which the fluid level sensor senses a predetermined fluid level while water is being dispensed into the wash tub and a peak time at which the fluid level sensor senses a stabilization of fluid level after water is not being dispensed into the wash tub. The dynamic selection may also be accelerated by skipping the sensing of one or more times in response to determining that an earlier reached time meets a predetermined criterion.

A laundry washing machine having an outer casing, a washing tub, a rotatable drum, a detergent dispenser, a fresh-water supply circuit, an internal water softening device filled with a water softening agent capable of reducing the hardness degree of the fresh water directed towards the detergent dispenser or the washing tub, a regeneration-agent reservoir located/recessed inside the outer casing and structured for being manually fillable with consumable salt or other regeneration agent, a first water-supply line for channeling fresh water into said regeneration-agent reservoir so as to form brine, a brine reservoir fluidically connected to said regeneration-agent reservoir for receiving and accumulating the brine arriving from said regeneration-agent reservoir, and a detector assembly for detecting when the salinity degree of the brine stored into brine reservoir exceeds a predetermined minimum salinity value.

A laundry treatment apparatus includes a tub that stores wash water; a drum rotatably disposed in the tub; a heater that heats wash water in the tub; a temperature sensor that senses a temperature of wash water; an output unit that displays at least one operation setting of the laundry treatment apparatus; and a controller configured to: determine an initial operation time based on the at least one operation setting; output the initial operation time through the output unit; determine an operation time based on (i) the temperature of wash water sensed by the temperature sensor during a supply of water to the tub and (ii) a level of wash water supplied to the tub; and output the operation time through the output unit.

A washing machine has a rotatable drum for receiving items to be washed and a tub in which the drum is mounted for rotation. A first water sensor is located at or towards the bottom of the tub and is arranged to measure the level of water collected at the bottom of the tub. A second water sensor is located at a part of the tub away from the first water sensor and measures the amount of water being thrown out of the drum as the drum rotates. The drum is rotated in accordance with a difference of the outputs of the sensors.

A laundry washing machine and method automate the selection of a load type for a laundry washing machine based in part on sensing multiple times during an initial fill phase of a wash cycle and based in part on a fluid level sensed by a fluid level sensor operatively coupled to a wash tub. The dynamic selection may be based at least in part on a first time at which the fluid level sensor senses a predetermined fluid level while water is being dispensed into the wash tub and a peak time at which the fluid level sensor senses a stabilization of fluid level after water is not being dispensed into the wash tub. The dynamic selection may also be accelerated by skipping the sensing of one or more times in response to determining that an earlier reached time meets a predetermined criterion.

A laundry washing machine and method adapt the operation of a laundry washing machine for a particular installation environment using a calibration process that may be performed at installation and/or at various times thereafter to determine one or more operational settings used to control the operation of the laundry washing machine. A calibration process, for example, may determine one or more of an ambient light characteristic, a water supply pressure, and an empty wash tub weight to generate one or more operational settings used by a controller of a laundry washing machine.

An apparatus, a system, and a method for detecting water supply based on a vision sensor by performing big data, an artificial intelligence (AI) algorithm, and/or a machine learning algorithm in a 5G environment connected for the Internet of things is provided. The apparatus for detecting water may be used for a washing machine and includes a vision sensor mounted on a tub or in the vicinity of the tub, directed toward at least one water supply region of interest in the tub, and configured to acquire an image of the water supply region of interest, and a water supply level determiner configured to detect a water supply level through a vision algorithm based on the image information acquired by the vision sensor. The determiner may predict water supply time to the point in time at which the water supply will be completed based on models trained by machine learning.

A washing machine appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A water supply adds water to the wash tub during a fill cycle and a camera assembly is used to monitor the water level. Specifically, the camera assembly obtains one or more images of the wash chamber during and/or after a fill cycle and a controller analyzes the images using a machine learning image recognition process to determine when the water within the wash tub has reached a predetermined water level, e.g., optimized based on load size or other load parameters. If the water in the wash tub is below or above the predetermined water level, the controller may implement responsive action, e.g., by adjusting at least one operating parameter of the washing machine appliance.