A dryer appliance includes a microphone for monitoring sound generated during operation of the dryer appliance and a controller is operably coupled to the microphone. The controller is configured for obtaining a sound signal generated during operation of the dryer appliance and converting the sound signal into a spectrogram that represents a sound frequency and a sound amplitude over time. An artificial intelligence image recognition process is used to analyze the spectrogram to identify one or more sound signatures that are associated with particular operating conditions, and operation of the dryer appliance is adjusted based at least in part on the identification of the sound signature.

A laundry appliance may include a cabinet, a drum, a door, a transmitter power coil, a receiver power coil, and an electronic component. The drum may be mounted within the cabinet. The drum may define a space for the receipt of articles therein. The door may be movably mounted to the cabinet to selectively restrict access to the drum. The transmitter power coil may be mounted to the cabinet proximal to the door. The receiver power coil may be mounted to the door in selective electromagnetic communication with the transmitter power coil to receive an electromagnetic field therefrom. The electronic component may be in electrical communication with the receiver power coil to receive power therefrom.

A laundry appliance may include a cabinet, a drum, a door, a transmitter power coil, a receiver power coil, and an electronic component. The drum may be mounted within the cabinet. The drum may define a space for the receipt of articles therein. The door may be movably mounted to the cabinet to selectively restrict access to the drum. The transmitter power coil may be mounted to the cabinet proximal to the door. The receiver power coil may be mounted to the door in selective electromagnetic communication with the transmitter power coil to receive an electromagnetic field therefrom. The electronic component may be in electrical communication with the receiver power coil to receive power therefrom.

A consumer appliance or touch panel interface, as provided herein, may include a substrate panel, a flexible capacitance touch circuit, a deformable conductive joint, and a rigid circuit board. The flexible capacitance touch circuit may be joined to the substrate panel. The deformable conductive joint may extend from a first end to a second end. The first end may be bonded to the flexible capacitance touch circuit. The rigid circuit board may be bonded to the deformable conductive joint at the second end, the rigid circuit board being positioned behind the substrate panel along the axial direction.

The present disclosure belongs to the technical field of smart homes, and particularly relates to a detergent recommendation method and equipment. The detergent recommendation method of the present disclosure includes: obtaining usage numbers respectively corresponding to various types of washing programs used by a user where the various types of washing programs respectively correspond to different types of detergents, selecting N types of washing programs with a maximum usage number from various types of washing programs according to the usage numbers, and pushing a prompt information of detergents respectively corresponding to the N types of the washing programs to the user, and can preferentially recommend the detergent suitable for the washing program with higher operating frequency to the user based on the usage number of the user using different washing programs.

The present disclosure belongs to the technical field of smart homes, and particularly relates to a detergent recommendation method and equipment. The detergent recommendation method of the present disclosure includes: obtaining usage numbers respectively corresponding to various types of washing programs used by a user where the various types of washing programs respectively correspond to different types of detergents, selecting N types of washing programs with a maximum usage number from various types of washing programs according to the usage numbers, and pushing a prompt information of detergents respectively corresponding to the N types of the washing programs to the user, and can preferentially recommend the detergent suitable for the washing program with higher operating frequency to the user based on the usage number of the user using different washing programs.

An information processing method includes: selecting M blocks as M selected blocks from among N blocks for driving at least one of an actuator or a heater included in an apparatus, in accordance with an input operation performed by an operator; generating an application, by setting the order of the M selected blocks in accordance with an input operation performed by the operator; consulting a rule that prohibits two or more given blocks from being executed in a given order, and when information included in the application that indicates the order of the M selected blocks correlates with the given order, modifying the application by changing the order in which each of the M selected blocks is executed; and outputting the modified application.

An apparatus includes at least one of an actuator or a heater, and a controller that controls the at least one of the actuator or the heater. The controller: obtains an application defined by a plurality of blocks that drive the at least one of the actuator or the heater; consults a rule that when one block included in two or more given blocks is executed, prohibits at least one of remaining blocks included in the two or more given blocks from not being executed, and modifies the application when the rule applies to a plurality of blocks included in the application; and drives the at least one of the actuator or the heater based on the modified application.

Disclosed is an electronic device. The electronic device includes a memory storing information on a trained artificial intelligence model, a communication interface, and a processor configured to obtain recommended process information by using the artificial intelligence model and control the communication interface to transmit the obtained recommended process information to a washing related machine, and the processor is configured to, based on usage information of each of a plurality of washing related machines, group the plurality of washing related machines into a plurality of groups and obtain tendency information of a group to which the washing related machine belongs among the plurality of groups. The artificial intelligence model is trained based on the usage information received from the washing related machine and the obtained tendency information.

Disclosed is an electronic device. The electronic device includes a memory storing information on a trained artificial intelligence model, a communication interface, and a processor configured to obtain recommended process information by using the artificial intelligence model and control the communication interface to transmit the obtained recommended process information to a washing related machine, and the processor is configured to, based on usage information of each of a plurality of washing related machines, group the plurality of washing related machines into a plurality of groups and obtain tendency information of a group to which the washing related machine belongs among the plurality of groups. The artificial intelligence model is trained based on the usage information received from the washing related machine and the obtained tendency information.