Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: Door lock shielding cover, which includes a shielding cover body, an attraction member, and blocking portions. The shielding cover body is configured to be movably installed onto a lock panel of a smart door lock. The attraction member is installed on a side of the shielding cover body adjacent to the lock panel of the smart door lock. A plurality of through holes is defined in the attraction member. The blocking portions correspond to the through holes in a one-to-one manner. Each of the blocking portions is fixed to the shielding cover body through a connecting portion that penetrates the through hole, thereby fixing the attraction member to the shielding cover body. The fixing between the shielding cover body and the attraction member in the door lock shielding cover is firm and durable.

Abstract: The Internet of Things device monitoring method includes that: device information of each of a plurality of online Internet of Things devices present in any one of the plurality of constructed Internet of Things device groups is acquired; group ring information is generated according to the device information of each of the plurality of the online Internet of Things devices; the group ring information is sent to the plurality of online Internet of Things devices offline device sent by any one of the plurality of the online Internet of Things devices in the online Internet of Things device ring, offline detection data is sent to each of the plurality of the online Internet of Things devices in the online Internet of Things device ring; and an actual offline Internet of Things device in the online Internet of Things device ring is determined according to response data corresponding to the offline detection data.

Abstract: This application provides a method and an apparatus for establishing a scene. The method for establishing the scene includes: receiving current state information of all devices in a target folder sent by a terminal, and the target folder is a set of devices that support scene establishment; establishing a target scene according to the current state information; and sending state information corresponding to the target scene to the terminal, and the state information corresponding to the target scene is locally pre-stored according to user demands.

Abstract: Provided is a voice recognition method and a voice recognition apparatus, and an air conditioner. The method includes: acquiring first voice data; adjusting, according to the first voice data, a collection state of second voice data to obtain an adjusted collection state, and acquiring the second voice data based on the adjusted collection state; and performing far-field voice recognition on the second voice data using a preset far-field voice recognition model so as to obtain semantic information corresponding to the acquired second voice data. The application can solve the problem in which far-field voice recognition performance is poor when a deep learning method or a microphone array method is used to remove reverberation and noise from far-field voice data, thereby enhancing far-field voice recognition performance.

Abstract: Disclosed are a method and device for recognizing a two-dimensional bar code for improving the efficiency of recognizing the two-dimensional bar code. The method comprises: a relative position of a household appliance and a terminal device is determined during network configuration of the household appliance; a display parameter for displaying the two-dimensional bar code is determined according to the relative position, wherein the display parameter comprises a size of the two-dimensional bar code to be displayed and the two-dimensional bar code carries device information of the household appliance; the display parameter is sent to the household appliance to enable the household appliance to display a two-dimensional bar code picture according to the display parameter; and the two-dimensional bar code picture is recognized to obtain the device information of the household appliance.

Abstract: A smart toilet (100) includes an information acquisition device (110) and a control device (120). The information acquisition device (110) is configured to acquire feature information of the smart toilet (100) in a working state, the feature information at least including voiceprint information and odor information, or voiceprint information, or odor information of a human body using the smart toilet (100). The control device (120) includes an identity recognition component (121) configured to recognize, according to the feature information, the identity of the human body using the smart toilet (100). An electric appliance system including the smart toilet (100) is further included.

Abstract: Disclosed by the present disclosure is a refrigerant leak detection method and device for an air conditioner. The method includes: acquiring current operating parameters of an air conditioner and environment information of a surrounding environment of the air conditioner; inputting the current operating parameters and the environment information into a trained neural network model to obtain an amount of remaining refrigerant outputted by the neural network model; and determining, according to the amount of the remaining refrigerant, whether there is a refrigerant leak in the air conditioner. The present disclosure improves accuracy of detecting a refrigerant leak in the air conditioner by means of an artificial neural network algorithm.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for scheduling a service, an electronic device, and a storage medium. The method includes: a service scheduling task is acquired, the service scheduling task is composed of a first identifier corresponding to a service request, and a second identifier corresponding to a device receiving the service request; a third identifier corresponding to a service associated with the service scheduling task is searched in a preset service scheduling knowledge graph; at least one service scheduling sequence is generated on the basis of the service scheduling task and the third identifier corresponding to the service; a target service scheduling sequence is determined from the at least one service scheduling sequence; and the device is notified to access a service corresponding to the third identifier in the target service scheduling sequence.

Abstract: Disclosed are a method and device for recognizing a two-dimensional bar code for improving the efficiency of recognizing the two-dimensional bar code. The method comprises: a relative position of a household appliance and a terminal device is determined during network configuration of the household appliance; a display parameter for displaying the two-dimensional bar code is determined according to the relative position, wherein the display parameter comprises a size of the two-dimensional bar code to be displayed and the two-dimensional bar code carries device information of the household appliance; the display parameter is sent to the household appliance to enable the household appliance to display a two-dimensional bar code picture according to the display parameter; and the two-dimensional bar code picture is recognized to obtain the device information of the household appliance.

Abstract: The present disclosure discloses an interface service function monitoring method and system based on data acquisition. The method includes the following steps: initiating, by a monitoring device, a service function monitoring request for an interface; determining whether the interface makes a response to the monitoring request; in a case that a response is made, determining whether the response content of the interface is expected; in a case that an abnormality occurs, analyzing, according to abnormality information, a cause of the abnormality, forming an abnormality analysis report, storing the abnormality information and the abnormality analysis report to a target server, and sending, by the target server, the abnormality information and the abnormality analysis report to an administrator; and determining, by the administrator, at least one of current service function states of the interface according to a monitoring record and the abnormality analysis report which are stored in the target server.

Abstract: The present disclosure discloses a human detection method and device, an electronic apparatus, and a storage medium. The method includes: a millimeter-wave radar signal of a target environment (101) is obtained; information of a moving point in the target environment (102) is extracted from the millimeter-wave radar signal; a micro-Doppler feature of each target in the target environment (103) is determined according to the information of the moving points in the target environment, wherein the target is formed by at least one moving point; and a target whose category is human in the target environment (104) is identified according to the micro-Doppler feature of each target in the target environment. The millimeter-wave radar technology is combined with artificial intelligence technology, so as to enable human detection in the target environment without invading human privacy, thus providing the possibility of achieving automatic control, monitoring and other operations of the target environment.

Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: An abnormality prompting method and an intelligent socket (30) are provided. Prompting is performed when a home appliance runs abnormally by means of the intelligent socket (30). The method includes: the intelligent socket (30) receives a state message from a first home appliance (S202), and the state message includes indication information used for indicating a current working mode of the first home appliance; the intelligent socket (30) obtains an actual value of a working parameter of the first home appliance (S203); the intelligent socket (30) determines a working state of the first home appliance according to the actual value of the working parameter and a maximum value of the working parameter allowed by the working mode (S204); when determining that the working state of the first home appliance is an abnormal state, the intelligent socket (30) outputs a prompt message (S205).

Abstract: The present disclosure provides a method and device for sharing control rights of appliances, a storage medium, and a server. The method includes that: a sharing request is received from a first user for sharing a control right of at least one appliance with at least one second user; and in response to the sharing request, a sharing operation of sharing the control right of the at least one appliance with the at least one second user is performed, so that both the first user and the at least one second user share the control right of the at least one appliance.

Abstract: Door lock shielding cover, which includes a shielding cover body, an attraction member, and blocking portions. The shielding cover body is configured to be movably installed onto a lock panel of a smart door lock. The attraction member is installed on a side of the shielding cover body adjacent to the lock panel of the smart door lock. A plurality of through holes is defined in the attraction member. The blocking portions correspond to the through holes in a one-to-one manner. Each of the blocking portions is fixed to the shielding cover body through a connecting portion that penetrates the through hole, thereby fixing the attraction member to the shielding cover body. The fixing between the shielding cover body and the attraction member in the door lock shielding cover is firm and durable.

Abstract: Provided is a voice recognition method and a voice recognition apparatus, and an air conditioner. The method includes: acquiring first voice data; adjusting, according to the first voice data, a collection state of second voice data to obtain an adjusted collection state, and acquiring the second voice data based on the adjusted collection state; and performing far-field voice recognition on the second voice data using a preset far-field voice recognition model so as to obtain semantic information corresponding to the acquired second voice data. The application can solve the problem in which far-field voice recognition performance is poor when a deep learning method or a microphone array method is used to remove reverberation and noise from far-field voice data, thereby enhancing far-field voice recognition performance.

Abstract: A smart toilet (100) includes an information acquisition device (110) and a control device (120). The information acquisition device (110) is configured to acquire feature information of the smart toilet (100) in a working state, the feature information at least including voiceprint information and odor information, or voiceprint information, or odor information of a human body using the smart toilet (100). The control device (120) includes an identity recognition component (121) configured to recognize, according to the feature information, the identity of the human body using the smart toilet (100). An electric appliance system including the smart toilet (100) is further included.

Abstract: An abnormality prompting method and an intelligent socket (30) are provided. Prompting is performed when a home appliance runs abnormally by means of the intelligent socket (30). The method includes: the intelligent socket (30) receives a state message from a first home appliance (S202), and the state message includes indication information used for indicating a current working mode of the first home appliance; the intelligent socket (30) obtains an actual value of a working parameter of the first home appliance (S203); the intelligent socket (30) determines a working state of the first home appliance according to the actual value of the working parameter and a maximum value of the working parameter allowed by the working mode (S204); when determining that the working state of the first home appliance is an abnormal state, the intelligent socket (30) outputs a prompt message (S205).

Abstract: Embodiments of the present disclosure provide a device control apparatus, a method, and a device including the apparatus. The device control apparatus includes a Bluetooth MESH module and a networking module, wherein: the Bluetooth MESH module is configured to receive a voice control instruction and send the received voice control instruction to the networking module; the networking module is configured to send the received voice control instruction to a recognition device for voice recognition, and send control data to the Bluetooth MESH module according to a recognition result returned from the recognition device; the Bluetooth MESH module is further configured to: send the control data from the networking module to a target device to implement control of the target device.