WO2023005516A1 - Method and apparatus for controlling smart appliances, computer device, and storage medium - Google Patents

Abstract

The present application relates to a method and apparatus for controlling smart appliances, a system, a computer device, and a storage medium. The method comprises: receiving a query control text sent by a vehicle-mounted terminal cloud, the query control text being generated by the vehicle-mounted terminal cloud on the basis of a control instruction input by a vehicle-mounted terminal; according to scene control information comprised in the query control text, determining a target scene to be controlled and control information of smart appliances comprised in the target scene; and according to the target scene and the control information of the smart appliances comprised in the target scene, generating a control instruction set comprising multiple types of control instructions, sending the control instructions in the control instruction set to target smart appliances, and instructing the target smart appliances to perform corresponding operations. By using the method, multiple types of smart appliances in the target scene can be synchronously controlled by the vehicle-mounted terminal.

Description

Smart home appliance control method, device, computer equipment and storage medium

This application is based on a Chinese patent application with application number 202110873704.X and a filing date of July 30, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

The present application relates to the field of smart home appliance and smart car control, in particular to a smart home appliance control method, device, computer equipment and storage medium.

Background technique

With the improvement of residents' consumption level and the continuous improvement of mobile communication capabilities, cars and smart home appliances are gradually becoming networked and intelligent. Therefore, users' cross-demand for smart travel and smart home is also becoming stronger and stronger.

However, the current vehicle-end voice system of the car can only control the equipment in the car, such as listening to the radio, playing music and car navigation, etc., and cannot realize the control of smart home appliances. Therefore, it cannot meet the needs of smart travel and smart home. need.

Contents of the invention

Based on this, it is necessary to provide a smart home appliance control method, device, computer equipment and storage medium for the above technical problems.

A method for controlling a smart home appliance, the method comprising:

Receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

According to the scene control information included in the query control text, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene;

According to the target scene and the control information of each smart home appliance included in the target scene, generate a control command set including multiple types of control commands, and send the control commands in the control command set to the target smart home appliance, instructing the target smart home appliance Perform corresponding operations on the above-mentioned target smart home appliances.

In one of the embodiments, before determining the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information contained in the query control text, the method further includes:

According to the natural language analysis method, identify the target service field corresponding to the scene control information in the query control text;

If the target service field is the smart home appliance service field, perform the step of determining the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information contained in the query control text .

In one of the embodiments, the determining the target scene to be controlled and the control information of each smart home appliance contained in the target scene according to the scene control information contained in the query control text includes:

According to the natural speech analysis method, extracting the target features of the scene control information contained in the query control text;

Based on the target feature, in a preset semantic database, by performing intent recognition on the scene control information, determine the target scene corresponding to the scene control information;

According to the semantic template of the target scene included in the semantic database and the configuration parameter information of each smart home appliance, the semantic template is filled with configuration parameter information to obtain the control information of each smart home appliance included in the target scene.

In one of the embodiments, the control information of each smart home appliance included in the target scene includes the smart home appliance identifier and the corresponding smart home appliance control parameter information, and the The control information of each smart home appliance generates a control instruction set containing various types of control instructions, including:

For each type of smart home appliance, generate a control instruction including the corresponding smart home appliance identifier and control parameter information of the smart home appliance;

A set of control instructions for the target scene is generated by using each of the control instructions according to the trigger sequence included in the target scene.

In one embodiment, the method also includes:

receiving control feedback information sent by each of the smart home appliances in the target scene;

According to the control feedback information, determine the execution status of the control instruction set of the target scene;

Feedback the execution status of the control instruction set to the vehicle-machine cloud, instruct the vehicle-machine cloud to generate corresponding scenario execution information and output the scenario execution information through the vehicle-machine terminal.

A method for controlling smart home appliances, the method is applied to the car-machine cloud, and the method includes:

receiving an initial control instruction input by the vehicle end, the initial control instruction carrying scene control information;

generating query control text containing the scene control information in response to the initial control instruction;

sending the query control text to the smart home appliance cloud, instructing the smart home appliance cloud to generate a control instruction set containing multiple types of control instructions according to the scene control information contained in the query control text, and The control command is sent to the target smart home appliance.

In one embodiment, the method also includes:

Identifying the target service field corresponding to the scene control information in the query control text according to a natural language algorithm;

When the target service field is a smart home appliance service field, the step of sending the query control text to a smart home appliance cloud is performed.

A combined scene control system, said system comprising:

The car-machine terminal is configured to receive an initial control instruction and send the initial control instruction to the car-machine cloud;

The car-machine cloud is used to receive an initial control command input by the car-machine terminal, the control command carrying scene control information; responding to the control command, generating a query control text containing the scene control information; The query control text is sent to the smart home appliance cloud;

The smart home appliance cloud is used to receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal; according to the scene contained in the query control text Control information, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene; generate control instructions containing multiple types according to the target scene and the control information of each smart home appliance included in the target scene control instruction set, and send the control instructions in the control instruction set to the target smart home appliance, instructing the target smart home appliance to perform corresponding operations.

In one of the embodiments, the system also includes:

The mobile terminal is configured to receive a scene configuration instruction, and output a scene configuration interface according to the scene configuration instruction, and the scene configuration interface includes a smart home appliance identifier;

Receive a device configuration instruction, the device configuration instruction carries at least two types of smart home appliance identifiers and corresponding control parameter information of the smart home appliance;

An association relationship between each smart home appliance identifier and the corresponding smart home appliance control parameter information is established, a target scene is generated, and the target scene is stored in a semantic database of the smart home appliance cloud.

A smart home appliance control device, said device comprising:

The receiving module is used to receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

A determining module, configured to determine the target scene to be controlled and the control information of each smart home appliance contained in the target scene according to the scene control information contained in the query control text;

A control module, configured to generate a control instruction set including multiple types of control instructions according to the target scene and the control information of each smart home appliance contained in the target scene, and send the control instructions in the control instruction set to the target The smart home appliance instructs the target smart home appliance to perform a corresponding operation.

A computer device comprising a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

Receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

According to the scene control information included in the query control text, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene;

According to the target scene and the control information of each smart home appliance included in the target scene, generate a control command set including multiple types of control commands, and send the control commands in the control command set to the target smart home appliance, instructing the target smart home appliance Perform corresponding operations on the above-mentioned target smart home appliances.

A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

According to the scene control information included in the query control text, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene;

According to the target scene and the control information of each smart home appliance included in the target scene, generate a control command set including multiple types of control commands, and send the control commands in the control command set to the target smart home appliance, instructing the target smart home appliance Perform corresponding operations on the above-mentioned target smart home appliances.

In the above smart home appliance control method, system, computer equipment and storage medium, the smart home appliance cloud receives the query control text sent by the car-machine cloud, wherein the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal . The smart home appliance cloud determines the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information included in the query control text. Finally, according to the target scene and the control information of each smart home appliance included in the target scene, the smart home appliance cloud generates a control command set containing multiple types of control commands, and sends the control commands in the control command set to the target The smart home appliance instructs the target smart home appliance to perform a corresponding operation. Using this method, the cross-demand between smart home and smart car is realized through the communication between the smart home appliance cloud and the car machine cloud. At the same time, the smart home appliance cloud generates a control instruction set to realize the synchronous control of multiple smart home appliances in the target scene, improving the control Efficiency and target scene linkage.

Description of drawings

Fig. 1 is an application environment diagram of a smart home appliance control method in an embodiment;

Fig. 2 is a schematic flow chart of a smart home appliance control method of a smart home appliance cloud in an embodiment;

FIG. 3 is a schematic flow chart of the steps of identifying the service domain in one embodiment;

FIG. 4 is a schematic flowchart of the steps of semantic analysis of scene control information in an embodiment;

Fig. 5 is a schematic flow chart of the step of generating a control instruction set in an embodiment;

Fig. 6 is a schematic flowchart of the steps of executing information of the feedback control instruction set in an embodiment;

FIG. 7 is a schematic flowchart of a method for controlling smart home appliances in the car-machine cloud in an embodiment;

FIG. 8 is a schematic flowchart of a method for controlling smart home appliances at the mobile terminal in an embodiment;

FIG. 9 is a schematic diagram of a configuration template for a home scene in an embodiment;

FIG. 10 is a schematic diagram of a configuration template for a scene away from home in an embodiment;

Figure 11 is a schematic diagram of a custom scene configuration template in an embodiment;

Fig. 12 is a structural block diagram of a smart home appliance control device in an embodiment;

Figure 13 is a diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

The smart home appliance control method provided in this application can be applied to the application environment shown in FIG. 1 . Among them, the car-machine terminal 110 communicates with the car-machine cloud 120 through the network, and the smart home appliance cloud 130 communicates with each smart home appliance device 140 through the network, and the smart home appliance cloud 130 and the car-machine cloud 120 are connected in advance. Therefore, the smart home appliance cloud 130 receives the query control text sent by the car-machine cloud 120 , wherein the query control text is generated by the car-machine cloud 120 based on the control instruction input by the car-machine terminal 110 . Then, the smart home appliance cloud 130 determines the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information included in the query control text. Finally, the smart home appliance cloud 130 generates a control command set containing multiple types of control commands according to the target scene and the control information of each smart home appliance contained in the target scene, and sends the control commands in the control command set to the target smart home appliance, indicating that the target Smart home appliances perform corresponding operations.

Among them, the internal structure of the smart home appliance cloud 130 may include artificial intelligence (AI, Artificial Intelligence) cloud and Internet of Things (IOT, Internet Of Things) cloud, and the analysis and determination of the scene control information in the query control text are performed through the AI cloud. Based on the analyzed control information of each smart home appliance in the target scene, the cloud generates a control instruction set to control each smart home appliance in the target scene. In this application, the structure and function division of the smart home appliance cloud 130 are not limited.

In one embodiment, as shown in FIG. 2 , a method for controlling smart home appliances is provided, the method is applied to a cloud of smart home appliances, and the method includes the following steps:

Step 201, receiving the query control text sent by the car-machine cloud.

Among them, the query control text is generated by the car-machine cloud based on the initial control instructions input by the car-machine terminal.

In the implementation, the smart home appliance cloud and the car-machine cloud realize the state of cloud-to-cloud connection in advance. When the car-machine cloud receives the control command input by the user through the car-machine terminal, the car-machine cloud generates the algorithm of the control command according to the natural language generation algorithm. The scene control information generates query control text (query text), and sends the query control text to the smart home appliance cloud. Therefore, the smart home appliance cloud receives the query control text sent by the car-machine cloud.

Optionally, the initial control instruction based on the vehicle-machine terminal input may be a voice control instruction, or may be other forms of control instructions, which are not limited in this embodiment of the present application.

Step 202, according to the scene control information included in the query control text, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene.

In the implementation, the smart home appliance cloud will analyze and process the received query control text. Specifically, the AI cloud in the smart home appliance cloud performs natural language analysis on the scene control information contained in the query control text through a natural language algorithm, extracts the target features (for example, target keywords) in the scene control information, and uses the target The feature determines the corresponding target scene and the control information of each smart home appliance included in the target scene. Furthermore, within the smart home appliance cloud, the AI cloud sends the above analysis results of the query control text to the IOT cloud of the smart home appliance cloud for further processing.

Step 203, according to the target scene and the control information of each smart home appliance included in the target scene, generate a control command set including multiple types of control commands, send the control commands in the control command set to the target smart home appliance, and instruct the target smart home appliance to perform corresponding operation.

In the implementation, since a target scene usually includes many different types of smart home appliances, the IOT cloud in the smart home appliance cloud generates information one by one based on the analyzed target scene and the control information of each smart home appliance contained in the target scene. The control instructions that can be executed by the corresponding types of smart home appliances, and then the control instructions are summarized according to the preset rules to obtain the control instruction set corresponding to the target scene. The smart home appliance cloud synchronously sends the control commands in the set of control commands to corresponding target smart home appliances, and instructs each target smart home appliance to perform corresponding operations.

In the above smart home appliance control method, the smart home appliance cloud receives the query control text sent by the car machine cloud, and determines the target scene to be controlled and the control information of each smart home appliance contained in the target scene according to the scene control information contained in the query control text. According to the target scene and the control information of each smart home appliance contained in the target scene, a control command set including multiple types of control commands is generated, and the control commands in the control command set are sent to the target smart home appliance to instruct the target smart home appliance to perform corresponding operations. Using this method, the cross-demand between smart home and smart car is realized through the communication between the smart home appliance cloud and the car machine cloud. At the same time, the smart home appliance cloud generates a control instruction set to realize the synchronous control of multiple smart home appliances in the target scene, improving the control Efficiency and target scene linkage.

In one embodiment, as shown in FIG. 3, before step 202, the smart home appliance cloud also needs to identify the service area based on the received query control text, and determine whether the scene control information contained in the query control text is used to control smart appliances. appliance, therefore, the method also includes:

Step 301, according to the natural language analysis method, identify the target service field corresponding to the scene control information in the query control text.

In the implementation, the smart home appliance cloud extracts the feature information in the query control text according to the natural language analysis method, and then identifies the target service field corresponding to the scene control information in the query control text according to the extracted feature information. For example, in response to the scene control information of "start home scene" included in the query control text, the smart home appliance cloud extracts the key feature: "go home" feature. Then, the smart home appliance cloud identifies the target service domain corresponding to the scene control information in the query control text according to the key feature and the preset domain classification rules.

Step 302, if the target service field is the smart home appliance service field, go to step 202.

In implementation, if the target service field is the smart home appliance service field, the smart home appliance cloud executes step 202 to further determine the target scene to be controlled and the details of each smart home appliance included in the target scene according to the scene control information contained in the query control text. control information.

If the target service field is a non-smart home appliance service field, the smart home appliance cloud will not further process the query control text, and will feed back an error message to the car-machine cloud.

In one embodiment, as shown in FIG. 4 , the control information of each smart home appliance contained in the target scene includes the smart home appliance identifier and the corresponding smart home appliance control parameter information, and the specific processing of step 203 includes the following steps:

Step 401, according to the natural speech analysis method, extract the target features of the scene control information contained in the query control text.

In the implementation, the smart home appliance cloud extracts the target features of the scene control information contained in the query control text according to the natural language analysis method. For example, if the scene control information contained in the query control text is "execute home scene", the smart home appliance cloud will segment the scene control information by keywords based on the natural language analysis method: execute/go home/scenario, and perform feature extraction. The target features for obtaining the scene control information are "execute" and "go home".

Step 402: Based on the target feature, in the preset semantic database, the target scene corresponding to the scene control information is determined by performing intent recognition on the scene control information.

In implementation, the smart home appliance cloud determines the target scene corresponding to the scene control information by performing intent recognition on the scene control information in the preset semantic database based on the extracted target features.

Specifically, after determining that the query control text is in the service field of smart home appliances, the target scene corresponding to the scene control information is determined according to the target features such as "execution" and "going home" of the scene control information in the extracted query control text.

Table 1

Among them, for the target scene of each scene theme in this application, the semantic database in the smart home appliance cloud stores a large amount of related semantic data, and extends and generalizes the target feature information in the target scene. For example, for the opening operation, the corresponding The semantic features may include: open, open, open, execute, trigger, etc.; for the close operation, the corresponding semantic features may include: close, closed, off, stop, and so on. Therefore, it is ensured that the scene control information contained in the query control text can be recognized even if it is colloquial and routine.

Step 403, according to the semantic template of the target scene contained in the semantic database and the configuration parameter information of each smart home appliance, fill the semantic template with configuration parameter information to obtain the control information of each smart home appliance included in the target scene.

During implementation, the smart home appliance cloud fills the semantic template with configuration parameter information according to the semantic template of the target scene contained in the semantic database and the configuration parameter information of each smart home appliance, and obtains the control information of each smart home appliance contained in the target scene. The details are shown in Table 2 below:

Table 2

In one embodiment, as shown in FIG. 5, the specific processing of step 202 includes the following steps:

Step 501, for each type of smart home appliance, generate a control instruction including the corresponding smart home appliance identifier and smart home appliance control parameter information.

In implementation, the smart home appliance cloud generates control instructions including the corresponding smart home appliance identifier and smart home appliance control parameter information according to the analyzed control parameter information of each type of smart home appliance. For example, if a target scene includes smart refrigerators, smart air conditioners, and smart TVs, the smart home appliance cloud generates first control instructions that can be used to control smart refrigerators for each type of smart home appliance control parameter information, which can be used to control The second control command of the smart air conditioner and the third control command that can be used to control the smart TV.

Wherein, the first control instruction for the smart refrigerator includes a smart refrigerator identifier and corresponding smart refrigerator control parameter information. Specifically, the control parameter information of the smart refrigerator may include that the control command is an opening command, and after the opening, the cooling temperature of the refrigerator compartment of the smart refrigerator is 4 degrees, and the cooling temperature of the freezer compartment is minus 18 degrees. The second control instruction for the smart air conditioner includes the smart air conditioner identification and corresponding smart air conditioner control parameter information. Specifically, the control parameter information of the smart air conditioner includes that the control command is a turn-on command, and after turning on, the indoor adjustment temperature of the smart air conditioner is 24 degrees. The third control instruction for the smart TV includes the smart TV identification and corresponding smart TV control parameter information. Specifically, the smart TV control parameter information includes that the control instruction is an activation instruction.

Optionally, the smart devices in different target scenarios and the control parameter information of the smart devices may be different, which is not limited in this embodiment of the present application.

Step 502, generate a control instruction set of the target scene according to the trigger sequence included in the target scene with each control command.

In the implementation, the smart home appliance cloud will generate the control commands of various types of smart home appliances, and generate the control command set of the target scene according to the trigger sequence contained in the target scene. For example, for the three types of smart home appliances contained in the target scene, based on the pre-configured trigger sequence of each smart home appliance in the target scene, the control instruction set of the smart home appliance is generated, and then the smart home appliance cloud can sequentially read the control instruction set. The control command is sent to the target smart home appliance.

In this embodiment, each smart home appliance does not need to be individually controlled, and the control instruction set generated by the smart home appliance cloud based on the scene control information performs synchronous control on the smart home appliances in the target scene, improving the control efficiency of the smart home appliances.

In one embodiment, as shown in Figure 6, the method also includes:

Step 601, receiving control feedback information sent by each smart home appliance in the target scene.

In implementation, within a preset time period, the smart home appliance cloud receives the control feedback information sent by each smart home appliance in the target scene. For example, if there are 3 smart home appliances in the target scene, the smart home appliance cloud can receive 3 pieces of control feedback information. Each piece of control feedback information may represent the execution result of the control instruction of the target smart home appliance. Specifically, for example, each piece of control feedback information is 0 or 1 information, wherein the normal execution of the control instruction is 0 information; the non-normal execution of the control instruction is 1 information.

Step 602: According to the control feedback information, the execution status of the control instruction set of the target scene is judged.

During implementation, the smart home appliance cloud judges the execution status of the control instruction set of the target scene according to the control feedback information sent by each smart home appliance device. Specifically, the control feedback information received by the smart home appliance cloud within the preset time is 0001, Based on the control feedback information, the smart home appliance cloud judges that the overall execution of the control instruction set is 4 smart home appliances included in the target scene, there is 1 smart home appliance that is not executed normally, and 3 smart home appliances are executed normally. In addition, based on the preset feedback order of the control feedback information, the smart home appliances can identify the smart home appliances that do not normally execute the control instructions.

Step 603: Feedback the execution status of the control instruction set to the car-machine cloud, instruct the car-machine cloud to generate corresponding scene execution information and output the scene execution information through the car-machine terminal.

In the implementation, the smart home appliance cloud feeds back the execution of the control instruction set to the car-machine cloud. For example, the execution status of the control command set fed back from the smart home appliance cloud to the car-machine cloud is: 4 smart home appliances in the target scene, where, Smart refrigerators, smart TVs, and smart air conditioners have all executed control commands normally, while other smart curtains have not executed control commands normally. Furthermore, the car-machine cloud generates scene execution information that can be fed back to the user according to the execution of the control instruction set, and outputs the scene execution information through the car-machine terminal corresponding to the car-machine cloud. For example, according to the execution situation of the received control instruction set, the car-machine cloud determines the voice prompt information representing the execution situation of the control instruction set (that is, the scene execution information) in the preset voice database, and sends the voice prompt information to The in-vehicle terminal performs voice output to remind the user of the overall execution of the target scene.

In this embodiment, the smart home appliance cloud can judge the execution of the overall control instruction set of the target scene based on the control feedback information of each smart home appliance, and output prompt information through the car-machine cloud and the car-machine terminal to remind the user of the execution of the target scene .

In one embodiment, as shown in FIG. 7 , a smart home appliance control method is provided, the method is applied to the car-machine cloud, and the method includes the following steps:

Step 701, receiving an initial control command input from the vehicle end.

Wherein, the initial control instruction carries scene control information.

In the implementation, the user inputs scene control information through the car-machine terminal, and transmits the scene control information to the car-machine cloud corresponding to the car-machine terminal, and the car-machine cloud receives the control command for subsequent processing. Wherein, the scene control information carried by the control command may be: "going home scene" information, "leaving home scene" information, "special scene" information, "custom scene" information, etc., which are not limited in this embodiment of the application.

Optionally, the control instruction input by the user may be a voice control instruction input through the voice communication module at the vehicle end, for example, the voice control instruction is "start home scene". Control instructions generated in other trigger forms can also be used. For example, the user's finger triggers the display screen on the car terminal, or according to the geographical location of the user's driving vehicle, or based on the automatic identification of the vehicle transmitter device to generate initial control instructions, etc., this The application examples are not limited.

Step 702: Generate query control text containing scene control information in response to the control instruction.

In implementation, the vehicle-machine cloud generates query control text (query text) including scene control information in the initial control instruction in response to the initial control instruction. Specifically, based on the natural language analysis algorithm, Chejiyun converts the scene control information in the control command into query text format control information, and then generates the query control text. For example, when the voice control command is "start home scene", the car According to the natural language generation algorithm, Jiyun generates the query control text containing the content of "opening the home scene".

Step 703: Send the query control text to the smart home appliance cloud, instruct the smart home appliance cloud to generate a control instruction set containing multiple types of control instructions according to the scene control information contained in the query control text, and send the control instructions in the control instruction set to the target Smart Appliances.

In the implementation, the car machine cloud determines the transmission destination of the query control text, invokes the corresponding smart home appliance cloud service interface, and sends the query control text to the smart home appliance cloud to instruct the smart home appliance cloud to control the The information generates a control instruction set including multiple types of control instructions, and sends the control instructions in the control instruction set to the target smart home appliance.

In the above smart home appliance control method, the car-machine cloud and the smart home appliance cloud are connected cloud-to-cloud. When the cloud is connected, the serviceable field of the scene control information in the query control text is identified based on the car-machine cloud. If the identified target service field For the smart home appliance service field, the car machine cloud will send the query control text to the smart home appliance cloud corresponding to the target service field, so that the smart home appliance cloud can control the smart home appliance based on the scene control information in the query control text, so as to realize car machine End-to-end control of smart home appliances.

In one embodiment, the smart home appliance control method applied to the car-machine cloud further includes:

According to the natural language algorithm, identify the target service field corresponding to the scene control information in the query control text. When the target service field is the smart home appliance service field, step 703 is performed.

In the implementation, Chejiyun identifies the scene control information in the query control text according to the natural language algorithm, extracts the key features in the scene control information, and determines the corresponding target service field in the various service fields that can provide services according to the key features .

Specifically, the corresponding serviceable fields in the car-machine cloud include smart car service fields, smart home appliance service fields, etc., and the car-machine cloud extracts the feature of "going home" from the scene control information of "start home scene", based on For the "going home" feature, Chejiyun determines that the target service field corresponding to the query control text is the smart home appliance service field. Furthermore, the car machine cloud executes step 703, sends the query control text to the smart home appliance cloud corresponding to the target service field, and instructs the smart home appliance cloud to process, which will not be repeated in the embodiment of the present application.

In one embodiment, as shown in FIG. 8 , a smart home appliance control method is provided, the method is applied to a mobile terminal, and the method includes:

Step 801: Receive a scene configuration instruction, and output a scene configuration interface according to the scene configuration instruction.

Wherein, the scene configuration interface includes the identification of the smart home appliance.

In implementation, the mobile terminal receives a scene configuration instruction input by the user, and in response to the scene configuration instruction, the mobile terminal outputs a scene configuration interface, which includes a scene configuration template and various types of smart home appliance identifiers. Multiple types of smart appliance logos are included to provide users with choices.

Specifically, for scenario configuration templates, there are various template forms. Corresponding to different scene configuration templates, users can choose different forms of scene configuration templates. For example, the mobile terminal pre-stores scene configuration templates with various scene themes, and also stores custom scene configuration templates with or without scene themes. For the scene configuration templates of various scene themes stored in advance, the mobile terminal can output the target scene configuration template of the scene theme required by the user based on the trigger operation of the user. The target scene configuration template contains the target scene theme and corresponding Identification of types of smart home appliances. Specifically, as shown in Figure 9, the user triggers the scene configuration instruction to be a home theme scene configuration command, then in response to the scene configuration command, the mobile terminal outputs a scene configuration template of the home theme, and the scene configuration template of the home theme Including: smart air conditioner, smart TV, smart gauze curtain, smart cloth curtain and other identifiers. The embodiment of this application does not limit the candidate smart home appliance identifiers in the scene configuration template. As another example, the pre-configured scene theme also includes a scene configuration template of the theme of leaving home. As shown in Figure 10, the mobile terminal can output the corresponding scene configuration template of the theme of leaving home based on the user-triggered scene configuration command of leaving home. The scene configuration template of the theme of leaving home includes: smart air conditioner, smart TV, smart yarn Signs such as curtains and smart curtains (the signs of smart home appliances with the theme of leaving home can be consistent with the signs of smart home appliances with the theme of going home). Wherein, the candidate smart home appliance identifiers contained in the scenario configuration template of the pre-configured scenario theme can be added or deleted according to user requirements, so as to determine the final smart appliance identifier under the scenario theme.

Optionally, as shown in Figure 11, for the custom scene configuration template without scene theme stored on the mobile terminal, the mobile terminal outputs a scene configuration template without a theme based on the scene configuration command input by the user, and the user can customize it according to his own needs scene theme (for example, birthday scene theme, holiday scene theme, anniversary scene theme), and based on the scene theme, select the target smart home appliance under the scene theme, and add it to the custom theme in the form of a smart home appliance logo In the scene configuration template. Among them, the selection of smart home appliances can be realized by checking the corresponding smart home appliance logo, or by dragging the smart home appliance logo to the target area. The scene configuration interface diagram provided in the embodiment of this application is only an implementable The solution is used to explain the application, but not to limit the implementation of the application.

Step 802, receiving device configuration instructions, each device configuration instruction carrying one type of smart home appliance configuration information.

Wherein, the smart home appliance configuration information includes smart home appliance control parameter information corresponding to the smart home appliance identifier.

In the implementation, the user inputs the device configuration instruction of the smart home appliance corresponding to the smart home appliance identifier determined in the scene configuration template through the mobile terminal, and each device configuration instruction carries a type of smart home appliance configuration information, according to the smart home appliance The smart home appliance control parameters included in the configuration information complete the configuration of each smart home appliance in the target scene. For example, for the device configuration instruction of the smart air conditioner included in the home scene, the configuration information of the smart air conditioner included is: open (status parameter), temperature is 24 degrees, breeze, and wind direction is downward.

Step 803, according to the received device configuration instructions, generate a target scene including the smart home appliance configuration information carried by each device configuration command, and store the target scene in the semantic database of the smart home appliance cloud.

In the implementation, each device configuration command carries a type of smart home appliance configuration information, and the mobile terminal establishes the target smart home appliance identifier under the final target scene theme contained in the scene configuration template and according to the received device configuration command. The target scene under the target topic is generated by the association relationship between the smart home appliance identifier in the scene configuration template and the smart home appliance configuration information in the device configuration command. Then, the mobile terminal stores the target scene in the semantic database of the smart home appliance cloud, which can be used in the smart home appliance cloud to query all the smart home appliance identifiers and smart home appliance controls in the target scene based on the control instructions sent by the car terminal. Parameter information.

For example, the scene configuration template for the theme of going home contains three types of smart home appliance identifiers: smart air conditioners, smart TVs, and smart curtains. Based on the received first device configuration instruction, according to the smart air conditioner Configuration information (that is, the smart air conditioner ID and smart air conditioner control parameters: open, 26 degrees, breeze, wind direction down), establish the association between the smart air conditioner configuration information in the device configuration command and the smart air conditioner ID in the scene configuration template. Then, the mobile terminal receives the second device configuration command (smart TV configuration command) and the third device configuration command (smart curtain configuration command) respectively to establish the association relationship between the smart home appliance configuration information in the device configuration command and the smart home appliance identifier in the scene configuration template. Finally, the mobile terminal generates a target scene with the theme of going home including all the smart home appliance identifiers in the scene configuration template and the corresponding smart home appliance configuration information.

It should be understood that although the various steps in the flow charts of FIG. 2 to FIG. 8 are shown sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in FIGS. 2 to 8 may include multiple steps or stages. These steps or stages are not necessarily executed at the same time, but may be executed at different times. The steps or stages The order of execution is not necessarily performed sequentially, but may be performed alternately or alternately with other steps or at least a part of steps or stages in other steps.

In one embodiment, as shown in FIG. 1 , a smart home appliance control system 100 is provided, including:

The car-machine terminal 110 is configured to receive an initial control instruction and send the initial control instruction to the car-machine cloud;

The vehicle-machine cloud 120 is configured to receive an initial control instruction input by the vehicle-machine terminal, the control instruction carrying scene control information; responding to the control command, generating a query control text containing the scene control information; Send the above query control text to the smart home appliance cloud;

The smart home appliance cloud 130 is configured to receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal; according to the query control text contained in the query control text Scene control information, determining the target scene to be controlled and the control information of each smart home appliance contained in the target scene; according to the target scene and the control information of each smart home appliance contained in the target scene, generate a the control instruction set of the instruction, and send the control instruction in the control instruction set to the target smart home appliance, and instruct the target smart home appliance to perform corresponding operations.

In one of the embodiments, the smart home appliance control system 100 also includes:

The mobile terminal is configured to receive a scene configuration instruction, and output a scene configuration interface according to the scene configuration instruction, and the scene configuration interface includes a smart home appliance identifier;

Receive a device configuration instruction, the device configuration instruction carries at least two types of smart home appliance identifiers and corresponding control parameter information of the smart home appliance;

An association relationship between each smart home appliance identifier and the corresponding smart home appliance control parameter information is established, a target scene is generated, and the target scene is stored in a semantic database of the smart home appliance cloud.

In one embodiment, as shown in the figure, a smart home appliance control device 1200 is provided, including: a receiving module 1210, a determining module 1220 and a control module 1230, wherein:

The receiving module 1210 is configured to receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

A determining module 1220, configured to determine the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information contained in the query control text;

The control module 1230 is configured to generate a control instruction set including multiple types of control instructions according to the target scene and the control information of each smart home appliance included in the target scene, and send the control instructions in the control instruction set to The target smart home appliance instructs the target smart home appliance to perform a corresponding operation.

In one embodiment, the device 1200 also includes:

An identification module, configured to identify the target service field corresponding to the scene control information in the query control text according to a natural language analysis method;

If the target service field is the smart home appliance service field, perform the step of determining the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information contained in the query control text .

In one embodiment, the determination module 1220 is specifically configured to extract the target features of the scene control information contained in the query control text according to the natural speech analysis method;

Based on the target feature, in a preset semantic database, by performing intent recognition on the scene control information, determine the target scene corresponding to the scene control information;

According to the semantic template of the target scene included in the semantic database and the configuration parameter information of each smart home appliance, the semantic template is filled with configuration parameter information to obtain the control information of each smart home appliance included in the target scene.

In one embodiment, the control information of each smart home appliance included in the target scene includes the smart home appliance identifier and corresponding smart home appliance control parameter information, and the control module 1230 is specifically configured to target each type of smart home appliance generating a control instruction including the corresponding smart home appliance identifier and control parameter information of the smart home appliance;

A set of control instructions for the target scene is generated by using each of the control instructions according to the trigger sequence included in the target scene.

In one embodiment, the device 1200 also includes:

A receiving module, configured to receive control feedback information sent by each of the smart home appliances in the target scene;

A judging module, configured to judge the execution of the control instruction set of the target scene according to the control feedback information;

A feedback module, configured to feed back the execution of the control instruction set to the vehicle-machine cloud, instruct the vehicle-machine cloud to generate corresponding scenario execution information and output the scenario execution information through the vehicle-machine terminal.

For the specific definition of the smart home appliance control device 1200, reference may be made to the above-mentioned definition of the smart home appliance control method, which will not be repeated here. Each module in the above smart home appliance control device 1200 may be fully or partially implemented by software, hardware or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure may be as shown in FIG. 13 . The computer device includes a processor, memory and a network interface connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store the semantic template of the target scene and the configuration parameter information data of each smart home appliance. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an intelligent home appliance control method is realized.

Those skilled in the art can understand that the structure shown in Figure 13 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

In one embodiment, a computer device is also provided, including a memory and a processor, a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the foregoing method embodiments are implemented.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented through computer programs to instruct related hardware, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include at least one of non-volatile memory and volatile memory. Non-volatile memory may include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (12)

1. A smart home appliance control method, characterized in that the method is applied to a smart home appliance cloud, and the method includes:

   Receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

   According to the scene control information included in the query control text, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene;

   According to the target scene and the control information of each smart home appliance included in the target scene, generate a control command set including multiple types of control commands, and send the control commands in the control command set to the target smart home appliance, instructing the target smart home appliance Perform corresponding operations on the above-mentioned target smart home appliances.
2. The method according to claim 1, wherein, before determining the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information contained in the query control text, The method also includes:

   According to a natural language analysis method, identifying a target service field corresponding to the scene control information in the query control text;

   If the target service field is the smart home appliance service field, perform the step of determining the target scene to be controlled and the control information of each smart home appliance included in the target scene according to the scene control information contained in the query control text .
3. The method according to claim 1, wherein the determining the target scene to be controlled and the control information of each smart home appliance contained in the target scene according to the scene control information contained in the query control text includes:

   According to the natural speech analysis method, extracting the target features of the scene control information contained in the query control text;

   Based on the target feature, in a preset semantic database, by performing intent recognition on the scene control information, determine the target scene corresponding to the scene control information;

   According to the semantic template of the target scene included in the semantic database and the configuration parameter information of each smart home appliance, the semantic template is filled with configuration parameter information to obtain the control information of each smart home appliance included in the target scene.
4. The method according to claim 1, wherein the control information of each smart home appliance contained in the target scene includes the smart home appliance identifier and corresponding smart home appliance control parameter information, and the Control information of each smart home appliance included in the above target scene, and generate a control instruction set containing various types of control instructions, including:

   For each type of smart home appliance, generate a control instruction including the corresponding smart home appliance identifier and control parameter information of the smart home appliance;

   A set of control instructions for the target scene is generated by using each of the control instructions according to the trigger sequence included in the target scene.
5. The method according to claim 1, further comprising:

   receiving control feedback information sent by each of the smart home appliances in the target scene;

   According to the control feedback information, determine the execution status of the control instruction set of the target scene;

   Feedback the execution status of the control instruction set to the vehicle-machine cloud, instruct the vehicle-machine cloud to generate corresponding scenario execution information and output the scenario execution information through the vehicle-machine terminal.
6. A method for controlling smart home appliances, characterized in that the method is applied to a car-machine cloud, and the method includes:

   receiving an initial control instruction input by the vehicle end, the initial control instruction carrying scene control information;

   generating query control text containing the scene control information in response to the initial control instruction;

   sending the query control text to the smart home appliance cloud, instructing the smart home appliance cloud to generate a control instruction set containing multiple types of control instructions according to the scene control information contained in the query control text, and The control command is sent to the target smart home appliance.
7. The method according to claim 6, further comprising:

   Identifying the target service field corresponding to the scene control information in the query control text according to a natural language algorithm;

   When the target service field is a smart home appliance service field, the step of sending the query control text to a smart home appliance cloud is performed.
8. A combined scene control system, characterized in that the system includes:

   The car-machine terminal is configured to receive an initial control instruction and send the initial control instruction to the car-machine cloud;

   The car-machine cloud is used to receive an initial control command input by the car-machine terminal, the control command carrying scene control information; responding to the control command, generating a query control text containing the scene control information; The query control text is sent to the smart home appliance cloud;

   The smart home appliance cloud is used to receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal; according to the scene contained in the query control text Control information, determine the target scene to be controlled and the control information of each smart home appliance included in the target scene; generate control instructions containing multiple types according to the target scene and the control information of each smart home appliance included in the target scene and send the control instructions in the control instruction set to the target smart home appliance, instructing the target smart home appliance to perform corresponding operations.
9. The system according to claim 8, further comprising:

   The mobile terminal is configured to receive a scene configuration instruction, and output a scene configuration interface according to the scene configuration instruction, and the scene configuration interface includes a smart home appliance identifier;

   Receive a device configuration instruction, the device configuration instruction carries at least two types of smart home appliance identifiers and corresponding control parameter information of the smart home appliance;

   An association relationship between each smart home appliance identifier and the corresponding smart home appliance control parameter information is established, a target scene is generated, and the target scene is stored in a semantic database of the smart home appliance cloud.
10. A smart home appliance control device, characterized in that the device comprises:

    The receiving module is used to receive the query control text sent by the car-machine cloud, the query control text is generated by the car-machine cloud based on the initial control instruction input by the car-machine terminal;

    A determining module, configured to determine the target scene to be controlled and the control information of each smart home appliance contained in the target scene according to the scene control information contained in the query control text;

    A control module, configured to generate a control instruction set including multiple types of control instructions according to the target scene and the control information of each smart home appliance contained in the target scene, and send the control instructions in the control instruction set to the target The smart home appliance instructs the target smart home appliance to perform a corresponding operation.
11. A computer device, comprising a memory and a processor, the memory stores a computer program, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, wherein, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are realized.

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