An electrostatic protection system for hand-held wireless vacuum cleaner comprises an electrostatic collecting unit and an electrostatic dissipating unit. The electrostatic collecting unit comprises an electrostatic collecting device; the electrostatic dissipating unit comprises a battery pack assembly, and the electrostatic collecting device is electrically connected to a negative electrode of the battery pack assembly. The electrostatic collecting unit is electrically connected to the electrostatic dissipating unit, and an electrostatic charge is transmitted to the negative electrode of the battery pack assembly through the electrostatic collecting device to realize electrostatic charge transfer. The electrostatic protection system effectively transfers the accumulated electrostatic charge, thereby avoiding the phenomenon of electrostatic shock, e.g. on the human's hand, and also protecting important components inside a machine from electrostatic damage.

The present disclosure discloses a method for reminding a replacement of a filter of a vacuum cleaner, including: obtaining a rotating speed difference of a motor within a set time interval; comparing, according to a working parameter of the vacuum cleaner, the rotating speed difference with a preset rotating speed difference threshold, to obtain a comparison result; and determining whether to remind a user to replace the filter according to the comparison result. With the method provided by the present disclosure, the vacuum cleaner may timely and automatically remind the user to replace the filter during the use of the vacuum cleaner, thereby reducing power loss, maintaining the normal use of the vacuum cleaner, and prolonging the service life of the motor.

A combination surface type sensor may include a housing including a first receptacle, a second receptacle, a third receptacle, and a fourth receptacle, a first surface type detector disposed within the first receptacle, a second surface type detector disposed within the fourth receptacle, an emitter disposed within the second receptacle, and a drop-off detector disposed within the third receptacle.

An autonomous cleaning device is provided. The autonomous cleaning device includes: a device body; and a drive module, a cleaning module and a sensing module, wherein the drive module, the cleaning module and the sensing module are detachably assembled to the device body, respectively.

The present disclosure provides a floor cleaner that includes a replaceable component, such as a brushroll or a filter. The floor cleaner has a detection mechanism comprising a magnet on the replaceable component and a Hall Effect sensor positioned to detect the permanent magnet when the replaceable component is correctly installed on the floor cleaner. Operation of one or more electrically-powered components of the floor cleaner is prevented when the permanent magnet is not detected by the Hall Effect sensor.

The present disclosure provides a floor cleaner that includes a replaceable component, such as a brushroll or a filter. The floor cleaner has a detection mechanism comprising a magnet on the replaceable component and a Hall Effect sensor positioned to detect the permanent magnet when the replaceable component is correctly installed on the floor cleaner. Operation of one or more electrically-powered components of the floor cleaner is prevented when the permanent magnet is not detected by the Hall Effect sensor.

A task performing method for a cleaning robot, according to the disclosure, comprises the operations of: photographing an object in proximity to the cleaning robot includes obtaining recognition information of the object included in the photographed image, by applying the photographed image to a trained artificial intelligence model, obtaining, from among a plurality of sensors, additional information of the object by using a result obtained by detecting the object by at least one sensor selected, based on the recognition information of the object, and performing a task of the cleaning robot based on the additional information of the object. The trained artificial intelligence model, for example, a deep learning neural network model, in which a plurality of network nodes having weights are located in different layers so as to exchange data according to a convolution relationship, can be used, but is not limited to the aforementioned example.

The present disclosure relates to a flow guiding structure and a mite remover. A housing of the mite remover has a first cavity for accommodating an airflow generating unit and a second cavity for accommodating a heat source. The flow guiding structure includes a cold-air pipeline assembly communicated with an air output side of the airflow generating unit to send a part of an airflow into the second cavity, and a hot-air pipeline at least partially arranged in the second cavity to receive a heating element of the mite remover. The housing has a first air output side for discharging the airflow sent into the second cavity, and a second air output side connected with the hot-air pipeline. The hot-air pipeline is communicated with the air output side of the airflow generating unit for discharging another part of the airflow out of the housing through the second air output side.

A power tool has a drive unit and an operating handle. At least one electrical line connects the operating handle and the drive unit to each other. The at least one electrical line is fastened at a first electrical connection location to the operating handle and at a second electrical connection location to the drive unit. A safety cable extends along the at least one electrical line between operating handle and drive unit. The safety cable has a first end section and a second end section. The first end section is connected mechanically fixed at a first fixation location to the operating handle. The second end section is connected mechanically fixed at a second fixation location to the drive unit. The at least one electrical line and the safety cable are guided together such that the safety cable forms a tear-off protection for the at least one electrical line.

An automatically moving floor treatment appliance has an appliance housing, a drive, a computing element and a plurality of fall sensors. The computing element compares a detection result of a fall sensor with a known reference result, and when the detection result does not correspond with the reference result, determines a malfunctioning of the fall sensor. The computing element determines distances detected chronologically successively by the same fall sensor during a movement of the appliance with one another, and when the distances are identical, determines a malfunctioning of the fall sensor, and/or compares a detection result of the leading fall sensor with a detection result of a trailing fall sensor and when the trailing fall sensor detects a slope without the leading fall sensor having detected the slope before, determines a malfunctioning of the leading fall sensor and the trailing fall sensor takes over the from the leading fall sensor.