Abstract: Disclosed in the present disclosure are a method and system for controlling an air conditioner, the air conditioner, and a household appliance. The method comprises: data collected by a control device during an operation of the air conditioner is received, wherein the data comprises question information, and at least one of indoor image data and an operation status diagram of the air conditioner located indoors; the collected data is input to a training model to obtain an answer that corresponds to the question information; and the answer is played.

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: 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: 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: A resource scheduling method and system, and a computer-readable storage medium are provided. The method comprises: a control instruction inputted by a user (S101) is acquired; on the basis of the control instruction, an intended device (S102) is determined; in the case where the intended device is not able to be started, with regard to each function of the intended device, a constructed knowledge graph is queried for alternative devices associated with the function, the knowledge graph having a plurality of functions stored therein as well as devices associated with the plurality of functions (S103, S105); and a device to be started is determined from all the alternative devices and starting the determined device (S106). In the resource scheduling method, in the case where an intended device specified by a user is not able to be started, alternative devices are appropriately determined.

Abstract: A method for controlling an electrical appliance, and a non-transitory computer-readable storage medium. The control method comprises: receiving a voice control instruction (S101); when the identity of a user who issued the voice control instruction is determined to be a child, acquiring a child knowledge graph (S102); when determined that a control object is a first electrical appliance, determining whether a knowledge expression corresponding to the first electrical appliance exists in the child knowledge graph (S103); if a knowledge expression corresponding to the first electrical appliance doesn't exist in the child knowledge graph, then not responding to the voice control instruction; otherwise, carrying out processing on the voice control instruction according to the knowledge expression corresponding to the first electrical appliance in the child knowledge graph (S104).

Abstract: The present disclosure relates to a human-machine multi-turn conversation method and system for human-machine interaction, and an intelligent apparatus. The method includes: S1, establishing a knowledge graph of user conversation behavior information; S2, determining, according to information currently input by a user, a node corresponding to the information currently input and at least one child node of the node in the knowledge graph; S3, calculating a support degree of the at least one child node relative to the node according to the number of times of querying the node and the number of times of querying both the at least one child node and the node in a historical query record of the knowledge graph; and S4, determining whether to output semantic information of the at least one child node by determining a size relation between the support degree and a preset support degree threshold value.

Abstract: Disclosed in the present disclosure are a method and system for controlling an air conditioner, the air conditioner, and a household appliance. The method comprises: data collected by a control device during an operation of the air conditioner is received, wherein the data comprises question information, and at least one of indoor image data and an operation status diagram of the air conditioner located indoors; the collected data is input to a training model to obtain an answer that corresponds to the question information; and the answer is played.

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.