Gree Electric Appliances, Inc. of Zhuhai

Leayun Technology Co., Ltd. of Zhuhai

Zhuhai Leayun Technology Co., Ltd

Zhunai Leayun Technology Co., Ltd

Jutao Jia

Bo Liang

Wei Wu

Dechao Song

Zhihua Hu

Bin Yi

Shaobin Li

Yanyu Chen

Zirong Huang

Shaobo Wu

Zi Wang

Lin Dai

Guangxu Hu

Deping Wei

Mingjie Li

Yuhui Li

Junjie Xie

Yuehui Mao

Jingwen Gao

Tianyun Hu

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.

Method and apparatus for scheduling service, electronic device, and storage medium

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: S, establishing a knowledge graph of user conversation behavior information; S, 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; S, 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 S, 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.

Human-machine multi-turn conversation method and system for human-machine interaction, and intelligent apparatus

A resource scheduling method and system, and a computer-readable storage medium are provided. The method comprises: a control instruction inputted by a user (S) is acquired; on the basis of the control instruction, an intended device (S) 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 (S, S); and a device to be started is determined from all the alternative devices and starting the determined device (S). 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.

Starting an alternative device after querying a knowledge graph for alternative devices associated with an intended function

A method for controlling an electrical appliance, and a non-transitory computer-readable storage medium. The control method comprises: receiving a voice control instruction (S); when the identity of a user who issued the voice control instruction is determined to be a child, acquiring a child knowledge graph (S); 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 (S); 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 (S).

Method for controlling electrical appliance, and non-transitory computer-readable storage medium

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.

Method for controlling air conditioner, air conditioner

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.

Voice recognition method and apparatus, and air conditioner

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Zhuhai, China

Jutao Jia