Patent classifications
D06F105/56
Laundry appliance drum motor fault detection using a camera and artificial intelligence
A laundry appliance includes a camera for determining whether the drum is rotating during operation of the appliance. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of the drum during operation of the appliance. An artificial intelligence image recognition process is used to perform image classification and determine whether a drum rotation fault has occurred. In the event of a drum rotation fault, operation of the laundry appliance is adjusted.
Prediction method, recording medium, prediction system, server, and display device
A prediction method includes acquisition step, prediction step, determination step, and processing step. In acquisition step, parameters for a drying operation are acquired. In prediction step, based on the acquired parameters, a drying time required for the drying operation is predicted by a first prediction method. In determination step, when the restart of the drying operation is detected while the drying operation is stopped, whether the first prediction method performed in prediction step is applicable is determined. In processing step, when the first prediction method is determined to be applicable, the first prediction method is continued and when the first prediction method is determined not to be applicable, predetermined processing is performed.
Control method of washing machine and washing machine
The washing machine includes control buttons controlling the washing machine to operate, and the washing machine is controlled to be connected/disconnected with a WiFi/to enter in a WiFi configuration mode by obtaining a trigger duration of one of the control buttons. The washing machine is controlled to be connected/disconnected with the WiFi/to enter in the WiFi configuration mode through the trigger duration of the control buttons, which realizes connection controllability of the washing machine and the WiFi, a user can control whether the washing machine is connected with the WiFi and enters in the WiFi configuration mode to configure a connection of the washing machine and the WiFi according to his/her own needs, which avoids conditions that the washing machine is directly connected with the WiFi and the user controls the washing machine mistakenly, and the safety of remote control of the washing machine is improved.
Laundry dryer control system
A laundry dryer control method comprising: setting the dryer to a default drying operation; performing the default drying operation when a user selects the default setting and does not select a dry boost setting; and performing a non-default drying operation when a user selects the default setting and does select a dry boost setting. In default operation, the dryer operates the drum and fan, and operates supplemental drying mechanism according to a predetermined schedule of on cycles and off cycles. If dry boost is selected, or if another non-default cycle is selected, the dryer operates the drum, fan and supplemental drying mechanism using a temperature feedback control loop, and operates until the laundry reaches a first dryness threshold.
SYSTEM AND METHOD FOR OPERATING A WASHER APPLIANCE
A system for appliance communication and method for washer appliance operation include determining a fault condition at a dryer appliance, transmitting to the washer appliance a communications signal corresponding to the fault condition at the dryer appliance, and adjusting, at the washer appliance, a washer mode based on the communications signal. The system includes a washer appliance having a first controller having a first communications device, and a dryer appliance having a second controller having a second communications device configured to communicatively couple to the first communications device to form an interconnected pair of washer and dryer appliances.
Drying time prediction method, drying time prediction system, and dryer
A drying time prediction method includes: obtaining an operation condition set at the start of operation of a first dryer; obtaining the first actual operation time period of each of at least one first operation performed by the first dryer; obtaining operation finish time information from a learned model by inputting, to the learned model, the operation condition and first actual information that is based on the first actual operation time period, the operation finish time information being related to the finish time of the operation started under the operation condition; and outputting first information based on the operation finish time information.
Laundry treatment appliance and method of estimating drying time based on laundry load size
A laundry treatment appliance includes a tub; a laundry basket rotatably mounted within the tub; a sensor positioned within the laundry basket; and a controller operably coupled to the sensor and configured to perform an operation. The operation includes detecting a load size of the laundry load at a completion of a recently performed washing cycle; obtaining a plurality of operational parameters from the recently performed washing cycle; determining a maximum drying cycle length of time for the laundry load based on the detected load size and the plurality of operational parameters; detecting a failure of the sensor; and directing a drying cycle according to the maximum drying cycle length of time in response to detecting the failure of the sensor.
Method and system for setting parameters of a treatment cycle
A method and system for setting parameters of a treatment cycle in a household appliance is provided. First a model establishing a relationship between sets of configuration parameter values of achievable treatment performance is obtained. Then a target treatment performance for the treatment cycle is obtained. Values for a subset of a configuration parameter are fixed, the subset comprising at most all configuration parameters but a remaining configuration parameter. Then, a value for the remaining configuration parameter is determined. For this value, a difference between the target treatment performance and an achievable treatment performance predicted by the model using said value is below a predetermined threshold. Finally, the parameters of the treatment cycle, which can be setting parameters of the treatment cycle in the household appliance are output. The parameters comprise the determined value and the fixed values.
Method for controlling a spin cycle of a washing machine and washing machine
Method for controlling a spin cycle of a washing machine and washing machine comprising a suspended group (10) including a rotative drum (11) contained in a dampened enclosure (12) supported on a suspension mechanism (20), a two axes accelerometer (30) supported on the suspended group (10), the method comprises the steps of capturing and analyzing vibration data (40) relative to the vibration of the suspended group (10) detecting a vibration data variation (43) over time indicative of a weight variation of the clothes due to the loss of water and determining a stabilization of the vibration data variation (43) over time indicative of the steadiness of the weight variation of the clothes due to end of the loss of water.
Combination laundry appliance with heat pump assembly
A combination laundry appliance includes a cabinet, a drum disposed within the cabinet, a fluid directing system for directing wash fluid into the drum during a wash cycle and directing air into the drum during a dry cycle, and a heat pump assembly operably coupled to the fluid directing system. The heat pump assembly includes a first condenser, a second condenser, and a three-way valve. The three-way valve is configured to direct refrigerant to the first condenser during the wash cycle to heat the wash fluid and to the second condenser during the dry cycle to heat the air. A controller is communicatively coupled to the heat pump assembly. The controller is configured to control the three-way valve to direct the refrigerant based on a laundry cycle.