An extension pipe (30) is configured to allow a suction tool (70) to be connected to one end side in a pipe axis direction and a vacuum cleaner main body (10) to be connected to another end. The extension pipe (30) includes a power-receiving portion (36) configured to receive and supply electric power to be fed to a battery (17a) provided to the vacuum cleaner main body (10).

An upright surface cleaning apparatus comprises rear wheels that are moveable in a longitudinal direction and/or a lateral direction, which is transverse to the longitudinal direction, upon reconfiguring the upright surface cleaning apparatus between a storage position and an floor cleaning position.

A method for adjusting at least one parameter range of a device parameter of a floor treatment device for treating a surface. The parameter range is available on the floor treatment device and depends on a floor type of the surface to be treated. The parameter range comprises a defined scope of values of the device parameter selected by the user for the treatment of the surface. The user moves the floor treatment device over the surface to be treated during an adjustment process, wherein a limiting device parameter, which is dependent on the nature of the surface and upon its use for the treatment of the surface leads to a predefined fault, is automatically determined during the movement of the floor treatment device, and wherein the parameter range is automatically adjusted based on the determined limiting device parameter which defines a range end of the parameter range.

An information presentation method that is executed by a computer includes acquiring travelling path information that includes a cleaning path and a relocation path, the cleaning path showing positions cleaned by a self-propelled vacuum cleaner in each of a plurality of regions included in a specific area, and the relocation path showing a route of the self-propelled vacuum cleaner that has travelled from one region to another region different from the one region out of the regions, the route being included in the specific area; generating presentation information that includes the cleaning path and the relocation path and that changes the mode of display of at least one of the cleaning path or the relocation path when a specific condition is satisfied; and presenting the presentation information to the user as the travelling path of the self-propelled vacuum cleaner in the specific area.

A self-propelled, dust-collecting robot includes a main-body part including a dust collection box, and a first battery pack, which has a case, at least one battery cell in the case, a control circuit board having a controller mounted in the case, and a discharge terminal. The main body part includes a first battery pack mount having a connector to which the first battery pack is removably connectable. The first battery pack is configured for use in an electric power tool.

A method for operating a vacuum cleaning appliance, having a filter element, a filter element cleaning device, a control device, a turbine, a first pressure sensor and a second pressure sensor. The method includes operating the vacuum cleaning appliance to suck in the air stream through the filter element; determining a first pressure reference value; measuring the pressure difference between the first and second pressure values; dedusting the filter element with the aid of the filter element cleaning device if the value of the pressure difference between the first and second pressure values reaches a first threshold value; determining a second pressure reference value after the end of the dedusting of the filter element; determining a difference value between the second and first pressure reference values; and dedusting the filter element if the difference value between the second and first pressure reference values reaches a second threshold value, or switching off the vacuum cleaning appliance if the difference value between the second and first pressure reference values reaches a third threshold value. A vacuum cleaning appliance for carrying out the method.

Disclosed is a central vacuum system. The central vacuum system comprises a first vacuum device, a second vacuum device, and a hose connected between the first vacuum device and the second vacuum device; the first vacuum device and the second vacuum are controlled by a linked switch, interior of the hose remains positive or slightly negative pressure. A self-operated differential pressure regulating valve arranged at the end of the hose is capable of generating corresponding air resistance under different airflow rate so as to maintain the interior pressure of the hose at a stable slightly positive or negative pressure.

A vacuum cleaner for air pollution prevention includes a main body, a blower, a filtering and cleaning assembly, and a gas detection module. The main body is configured to form a flow-guiding path. The blower is disposed in the flow-guiding path to guide air convection. The filtering and cleaning assembly is disposed in the flow-guiding path to filter and clean the air pollution source in the air guided by the blower. The gas detection module is disposed in the flow-guiding path to detect the air pollution source and transmits a gas detection data.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

An intelligent robot cleaner setting a travel path based on a video learning includes a travel driver, a suction unit, an image acquisition unit, and a controller. The travel driver moves to an area to be cleaned along the travel path. The suction unit sucks foreign substances on the travel path. The image acquisition unit acquires an image on the travel path. The controller analyzes the image, decides whether an object is present on the travel path, classifies a type of the object, and sets a bypass travel path that avoids the object if the object is an avoidance object.