Patent classifications
D06F2103/00
CHEMICAL DOSING SYSTEM
Disclosed herein is a chemical dosing system for an appliance, such as a laundry washing machine or a dishwashing machine, having a water inlet, the system comprising a meter for determining the volume of water supplied to the appliance, a pump for dispensing a quantity of a chemical to the appliance and a control unit arranged to receive a signal from the meter and to cause to be dispensed to the appliance a volume of chemical that is proportional to the quantity of water supplied to the appliance. The disclosed system may enable a correct quantity of chemical to be automatically dispensed to many types of appliance, without the need to know anything about the appliance, or to derive electrical signal from the appliance.
Washing machine and method for controlling washing machine
Disclosed herein are a washing machine and a method for controlling a washing machine. The washing machine may include: a body; a tub provided inside of the body to store water; a detergent supply unit disposed adjacent to the tub to supply detergent to the tub during an operating mode for washing laundry and to receive water during a cleaning mode; and a controller configured to allow a cleaning of the detergent supply unit to be performed by controlling a flow of water of the detergent supply unit and the tub during the cleaning mode of the detergent supply unit. The present disclosure may be possible to keep the washing machine clean by automatically cleaning a detergent supply unit. In addition, it may be possible to improve the quality and the reliability of the product by automatically cleaning a detergent supply unit by using an input.
Chemical dosing system
Disclosed herein is a chemical dosing system for an appliance, such as a laundry washing machine or a dishwashing machine, having a water inlet, the system comprising a meter determining the volume of water supplied to the appliance, a pump for dispensing a quantity of a chemical to the appliance and a control unit arranged to receive a signal from the meter and to cause to be dispensed to the appliance a volume of chemical that is proportional to the quantity of water supplied to the appliance. The disclosed system may enable a correct quantity of chemical to be automatically dispensed to many types of appliance, without the need to know anything about the appliance, or to derive an electrical signal from the appliance.
OZONE LAUNDRY SYSTEM
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.
Clothing treatment apparatus and controlling method thereof
A clothing treatment apparatus and method thereof is provided. The clothing treatment apparatus according to an embodiment includes a main body formed with a space to accommodate clothing, a sprayer disposed inside the main body and configured to spray at least one of steam or air toward the clothing while the clothing is accommodated in the space, and a door connectable to the main body to open and close the space, wherein the door includes a first inlet to allow air from an outside to flow, a second inlet connectable to the first inlet and through which the air from the first inlet flows to the space while the second inlet is connected to the first inlet, and a shutter configured to selectively move toward the second inlet to close the second inlet and move away from the second inlet to open the second inlet.
System for monitoring a drying process and method for the operation thereof
A system for monitoring a drying process for damp laundry items outside a laundry treatment appliance includes, as components to be located in a plurality of appliances that are spatially separate from one another, at least one sensor device including at least one air humidity sensor and a first radio unit for a wireless information exchange with an external evaluation unit and/or an external display device which, to this end, have at least one second radio unit and a first sensor device to be placed in the vicinity of the damp laundry items. An evaluation unit is provided for sensor signals from the sensor device. A display device displays information for a user of the system. A method for operating the system is also provided.
Washing machine based on artificial intelligence and method of controlling the same
Disclosed herein is a washing machine including a door including an external cover and an internal glass to open and close a laundry entrance, at least one image sensor disposed to face the internal glass to acquire image data, a detergent bubble recognizer configured to recognize detergent bubble from the image data through a machine learning based image recognition model, and a controller configured to perform control to perform an additional rinsing cycle based on a result of recognition.
Laundry machine having induction heater and control method of the same
A laundry machine includes a tub; a drum that is rotatably mounted in the tub and holds laundry; an induction heater that is provided in the tub and configured to heat an outer circumferential surface of the drum located in opposite; a motor that is configured to drive so as to rotate the drum; a temperature sensor that is configured to sense the temperature inside the tub; and a processor that is implemented to control drum RPM in spinning based on a preset spinning target RPM and control heat-spinning based by controlling the drive of the induction heater, wherein the processor controls the drive of the induction heater by setting a heating target temperature that is raised by the drive of the induction heater to be higher as the preset spinning target RPM is set to be lower.
ARTIFICIAL INTELLIGENCE LAUNDRY TREATMENT APPARATUS
An artificial intelligent laundry treatment apparatus according to an embodiment of the present invention includes: a door including an external cover and an internal glass and configured to open and close a laundry entrance; a gasket formed on an inner circumferential surface of the laundry entrance; a door imaging sensor disposed to face the internal glass and configured to acquire a door image; a gasket imaging sensor configured to acquire a gasket image including a region of the gasket; and a processor configured to classify a state of the door on the basis of the door image, to acquire a gasket contamination degree on the basis of the gasket image, and to determine whether inside cleansing is required for a region including an inside of a drum on the basis of at least one of the classification result of the state of the door or the acquired gasket contamination degree.
INTELLIGENT WASHING MACHINE AND CONTROL METHOD THEREOF
Disclosed herein is a method of controlling an intelligent washing machine includes: obtaining a laundry image of laundry placed in a washing tub; extracting laundry classification information from the laundry image; calculating an estimated water supply time on the basis of the laundry classification information; and extending the reference water supply time if the estimated water supply time exceeds a predetermined reference water supply time, and supplying water to the washing tub for the extended reference water supply time. The washing machine may be associated with an artificial intelligence (AI) module, an unmanned aerial vehicle (UAV) (or drone), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.