CN113412457A - Scene pushing method, device and system, electronic equipment and storage medium - Google Patents

Scene pushing method, device and system, electronic equipment and storage medium Download PDF

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Publication number
CN113412457A
CN113412457A CN201980091539.3A CN201980091539A CN113412457A CN 113412457 A CN113412457 A CN 113412457A CN 201980091539 A CN201980091539 A CN 201980091539A CN 113412457 A CN113412457 A CN 113412457A
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scene
target
intelligent
basic information
target scene
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CN201980091539.3A
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CN113412457B (en
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黄诚
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Guangdong Oppo Mobile Telecommunications Corp Ltd
Shenzhen Huantai Technology Co Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
Shenzhen Huantai Technology Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • User Interface Of Digital Computer (AREA)
  • Selective Calling Equipment (AREA)

Abstract

The application discloses a scene pushing method, a scene pushing device, a scene pushing system, electronic equipment and a storage medium, and relates to the technical field of Internet of things. The method comprises the following steps: when the intelligent device to be configured is detected to be successfully accessed to a network for the first time, the basic information of the intelligent device to be configured is obtained, a target scene comprising the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured, and the target scene is pushed. According to the method and the device, when the intelligent device to be configured successfully accesses the network for the first time, the target scene including the intelligent device to be configured is obtained and pushed based on the basic information of the intelligent device to be configured, so that the target scene is automatically obtained, user operation is reduced, and user experience is improved.

Description

Scene pushing method, device and system, electronic equipment and storage medium Technical Field
The present application relates to the field of internet of things technology, and more particularly, to a scene pushing method, apparatus, system, electronic device, and storage medium.
Background
In an intelligent home, a scene means that when a certain trigger condition occurs, a plurality of intelligent devices execute corresponding actions, so that the user experience can be greatly improved.
Disclosure of Invention
In view of the foregoing problems, the present application provides a scene pushing method, apparatus, system, electronic device, and storage medium to solve the foregoing problems.
In a first aspect, an embodiment of the present application provides a scene pushing method, which is applied to an electronic device, and the method includes: when detecting that the intelligent equipment to be configured is successfully accessed to a network for the first time, acquiring basic information of the intelligent equipment to be configured; acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured; and pushing the target scene.
In a second aspect, an embodiment of the present application provides a scene pushing method, which is applied to a scene pushing system, where the scene pushing system includes an electronic device and a cloud server that are communicatively connected, and the method includes: when the cloud server detects that the electronic equipment successfully accesses the intelligent equipment to be configured to the network for the first time, acquiring basic information of the intelligent equipment to be configured; the cloud server acquires a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured; the electronic equipment receives and pushes the target scene sent by the cloud server.
In a third aspect, an embodiment of the present application provides a scene pushing apparatus, which is applied to an electronic device, and the apparatus includes: the information acquisition module is used for acquiring basic information of the intelligent equipment to be configured when the intelligent equipment to be configured is detected to be successfully accessed to a network for the first time; the scene acquisition module is used for acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured; and the scene pushing module is used for pushing the target scene.
In a fourth aspect, an embodiment of the present application provides a scene pushing system, including an electronic device and a cloud server that are connected in a communication manner, where: the cloud server is used for acquiring basic information of the intelligent device to be configured when the electronic device is detected to successfully access the intelligent device to be configured to the network for the first time; the cloud server is used for acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured; the electronic device is used for receiving and pushing the target scene sent by the cloud server.
In a fifth aspect, embodiments of the present application provide an electronic device, including a memory and a processor, the memory being coupled to the processor, the memory storing instructions, the processor performing the above method when the instructions are executed by the processor.
In a sixth aspect, the present application provides a computer-readable storage medium, where a program code is stored in the computer-readable storage medium, and the program code can be called by a processor to execute the above method.
According to the scene pushing method, the scene pushing device, the scene pushing system, the electronic device and the storage medium, when it is detected that the intelligent device to be configured is successfully accessed to the network for the first time, basic information of the intelligent device to be configured is obtained, a target scene including the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured, and the target scene is pushed, so that when the intelligent device to be configured is successfully accessed to the network for the first time, the target scene including the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured and pushed, and therefore the target scene is automatically obtained, user operation is reduced, and user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of an application environment that can be used in the scene pushing method provided by the embodiment of the present application;
FIG. 2 is a schematic diagram of another application environment that can be used in the scene pushing method provided by the embodiment of the present application;
fig. 3 shows a timing diagram of a scene pushing method provided in an embodiment of the present application;
fig. 4 is a flowchart illustrating a scene pushing method according to an embodiment of the present application;
fig. 5 is a flowchart illustrating a scene pushing method according to another embodiment of the present application;
fig. 6 shows a flowchart of step S303 of the scene pushing method provided by the embodiment shown in fig. 5 of the present application;
fig. 7 is a flowchart illustrating a scene pushing method according to still another embodiment of the present application;
fig. 8 is a flowchart illustrating a scene pushing method according to another embodiment of the present application;
fig. 9 is a flowchart illustrating a scene pushing method according to still another embodiment of the present application;
fig. 10 is a flowchart illustrating a scene pushing method according to yet another embodiment of the present application;
fig. 11 shows a flowchart of step S705 of the scene pushing method provided by the embodiment shown in fig. 10 of the present application;
fig. 12 shows a block diagram of a scene pushing apparatus provided in an embodiment of the present application;
fig. 13 is a block diagram illustrating an electronic device for executing a scene pushing method according to an embodiment of the present application;
fig. 14 illustrates a storage unit for storing or carrying program codes for implementing a scene pushing method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
With the progress of the technology level, the smart home goes deep into each family, and is popular among multiple families due to the convenience brought by the smart home. The intelligent home is characterized in that various intelligent devices (such as an air conditioner, an illuminating lamp, a refrigerator, a washing machine and the like) in the home are connected together through the Internet of things technology, and various controls such as household appliance control, illumination control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating and ventilation control, infrared forwarding, programmable timing control and the like are provided.
With the development of science and technology, various intelligent devices can be controlled by electronic devices, for example, applications are installed on the electronic devices to realize various management and control functions, and application programs for managing and controlling the intelligent devices are installed on the electronic devices to realize remote management and control of the intelligent devices. At present, after a user acquires the intelligent device, the intelligent device can be added at an electronic device end, and then the use scene of the intelligent device is generated manually or according to the preset application environment of the intelligent device, however, the application environment needs to be preset for the newly added intelligent device in the mode, if the type of the preset application environment is not comprehensive enough, the user requirement cannot be met completely, and the mode of the preset application environment is not flexible enough, and in addition, if the newly added intelligent device does not correspond to the preset application environment, the use scene cannot be recommended for the user.
In view of the above problems, the inventor finds, through long-term research, and provides a scene pushing method, an apparatus, a system, an electronic device, and a storage medium provided in an embodiment of the present application, when an intelligent device to be configured first successfully accesses a network, a target scene including the intelligent device to be configured is obtained based on basic information of the intelligent device to be configured and pushed, so that the target scene is automatically obtained, user operations are reduced, and user experience is improved. The specific scene pushing method is described in detail in the following embodiments.
An application environment to which the present application relates is described below.
Referring to fig. 1, fig. 1 is a schematic view illustrating an application environment that can be used in the scenario pushing method provided in the embodiment of the present application, where an electronic device 100 can implement data interaction between the electronic device 100 and an intelligent device 200 by establishing a wireless connection with an intelligent gateway 300, and the intelligent device 200 establishes a wireless connection with the intelligent gateway 300, where the number of the intelligent devices 200 may be one or multiple. In addition, the electronic device 100 and the intelligent gateway 300 are communicatively connected to the cloud server 400, it is understood that the electronic device 100 may be communicatively connected to the cloud server 400 through a wireless network, for example, through WIFI, and the electronic device 100 may also be communicatively connected to the cloud server 400 through a data network, for example, through a 2G/3G/4G/5G network, and the electronic device 100 may be communicatively connected to the cloud server 400 through the server 400 and the intelligent gateway 300, but not limited thereto, and perform data interaction with the intelligent device 200 through the server 400 and the intelligent gateway 300.
Referring to fig. 2, fig. 2 is a schematic view of another application environment that can be used in the scene pushing method provided in the embodiment of the present application, where the electronic device 100 may be communicatively connected to the first cloud server 402 to implement data interaction with the first cloud server 402, and likewise, the electronic device 100 may be communicatively connected to the first cloud server 402 through a wireless network, for example, through WIFI, and the electronic device 100 may also be communicatively connected to the first cloud server 402 through a data network, for example, through a 2G/3G/4G/5G network, which is not limited herein. The intelligent device 200 is in communication connection with the second cloud server 401 through the intelligent gateway 300, and data interaction between the second cloud server and the second cloud server 401 is achieved. In addition, data interaction can be performed between the first cloud server 402 and the second cloud server 401, so that the electronic device 100 can implement data interaction with the smart device 200 through the first cloud server 402, the second cloud server 401 and the smart gateway 300.
Examples
Referring to fig. 3, fig. 3 is a timing diagram illustrating a scene pushing method according to an embodiment of the present disclosure. As will be described in detail with respect to the flow shown in fig. 3, the scene pushing method is applied to a scene pushing system, where the scene pushing system includes an electronic device and a cloud server that are in communication connection, and the scene pushing method may specifically include the following steps:
step S101: when the cloud server detects that the electronic equipment successfully accesses the intelligent equipment to be configured to the network for the first time, the cloud server acquires basic information of the intelligent equipment to be configured.
As a mode, the electronic device may be installed with an application program for managing and controlling the intelligent device, and accordingly, the user may access the intelligent device to the network through the application program, and implement data interaction between the intelligent device and a vendor server corresponding to the intelligent device. In this embodiment, a user may operate, through an application program of the electronic device or in another manner, the to-be-configured intelligent device to access the network, where the to-be-configured intelligent device may be an intelligent device newly purchased by the user or an intelligent device newly added by the user, and then the user may operate, through the application program of the electronic device or in another manner, the to-be-configured intelligent device to access the network for the first time. For example, a user purchases the to-be-configured intelligent device in an online store corresponding to the intelligent device through the electronic device, then, after the purchase is completed, the application program of the electronic device may correspondingly display information of the to-be-configured intelligent device, so that the user performs an operation based on the information of the to-be-configured intelligent device, for example, first accessing the to-be-configured intelligent device to a network, operating a usage scenario of the to-be-configured intelligent device, operating parameter setting of the to-be-configured intelligent device, and the like, which is not limited herein.
In particular, an HTML5 mall page may be embedded within a client of the electronic device. It can be understood that the HTML5 mall page refers to a HyperText Markup Language 5 (HTML 5) page implementing the mall function, a control corresponding to the HTML5 mall page may be set in the client of the electronic device, the control may correspond to a link of the HTML5 mall page, and when the control is triggered by the triggering operation, the HTML5 mall page may be accessed and the HTML5 mall page is rendered, so that the HTML5 mall page is displayed in the client. After the HTML5 mall page is displayed, the purchase of merchandise, for example, the purchase of the smart device to be configured, can be realized through the HTML5 mall page.
In the embodiment of the application, the HTML5 shopping mall page corresponds to a server of a shopping mall, and when the HTML5 shopping mall page is accessed, the server of the shopping mall is accessed to purchase the online commodities. The HTML5 mall page is used for providing the user with a purchase device, and after the user purchases the device through the HTML5 mall page, a server of the mall can obtain a record of the purchase device. Wherein the purchased device may be a device that can be managed and controlled by an application of the electronic device. The purchase record may include device information, quantity, price, etc. of the purchased device, and the device information may include manufacturer information, type information, model information, etc. of the device. Of course, the specific purchase record may not be limited in the embodiments of the present application.
In this embodiment of the application, a client of the electronic device may obtain, from a server in a mall, a purchase record of a device purchased through the HTML5 mall page through a server corresponding to the client, so as to monitor the purchase record of the device purchased through the HTML5 mall page. The acquisition of the purchase record of the shopping device through the HTML5 mall page may be real-time acquisition, or acquisition at a specified interval duration, or acquisition according to a detected control operation. Of course, the specific manner of obtaining the purchase record may not be limited in the embodiment of the present application. Optionally, the client may obtain, in real time, a purchase record of the device purchased through the HTML5 mall page from the mall server through the server corresponding to the client, so as to accurately monitor the purchase record, and after it is determined that the purchase is completed, display information of the smart device to be configured in the application program of the electronic device, so that the user performs subsequent operations based on the display.
In this embodiment, the cloud server detects whether the to-be-configured intelligent device is successfully accessed to the network for the first time, wherein the cloud server may receive a message of the electronic device, and when the received message of the electronic device indicates that the to-be-configured intelligent device is successfully accessed to the network for the first time, it may be determined that the to-be-configured intelligent device is successfully accessed to the network for the first time, and basic information of the to-be-configured intelligent device is acquired; in addition, the cloud server can monitor the access state of the intelligent device to be configured in real time, and when the fact that the intelligent device to be configured is successfully accessed is detected, the fact that the intelligent device to be configured is successfully accessed to the network for the first time can be determined, and basic information of the intelligent device to be configured is obtained. The basic information of the intelligent device to be configured may include at least a name of the intelligent device to be configured, a model of the intelligent device to be configured, a parameter of the intelligent device to be configured, a function of the intelligent device to be configured, and the like, which is not limited herein. Further, the cloud server may detect whether the to-be-configured smart device is first accessed, and as a mode, the cloud server or the electronic device may mark the smart device that is successfully accessed to the network, and therefore, the to-be-configured smart device does not carry the mark, and when the cloud server detects that the to-be-configured smart device does not carry the mark, it may be determined that the to-be-configured smart device is first accessed to the network, and of course, in this embodiment, it may also be determined whether the to-be-configured smart device is first accessed to the network through other more modes, which is not described herein again.
Step S102: and the cloud server acquires a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured.
Further, after obtaining the basic information of the intelligent device to be configured, the cloud server may obtain a target scene including the intelligent device to be configured based on the basic information of the intelligent device to be configured. For example, when the smart device to be configured is an air conditioner, then the cloud server may acquire a target scene including the air conditioner, for example, the target scene may include "turn on the air conditioner when the user goes home", "turn on the air conditioner and turn the air conditioner to 27 ° when the user goes home", and the like; when the smart device to be configured is a television, then, the cloud server may obtain a target scene including the television, for example, the target scene may include "turn on the television when the user goes home", "turn on the television and tune the television to a target channel when the user goes home", and the like, which is not limited herein.
As a manner, the cloud server may select a target scene including the to-be-configured smart device from a plurality of preset scenes based on the basic information of the to-be-configured smart device, may calculate and generate the target scene including the to-be-configured smart device through a preset algorithm based on the basic information of the to-be-configured smart device, may also output the target scene through a trained scene generation model based on the basic information of the to-be-configured smart device, and the like, which is not limited herein.
Step S103: the electronic equipment receives and pushes the target scene sent by the cloud server.
After the cloud server acquires the target scene comprising the intelligent device to be configured, the target scene is sent to the electronic device, and the electronic device pushes the target scene as a response to be selected by a user, so that the automatic configuration of the use scene of the intelligent device to be configured is realized, the user operation is reduced, and the user experience is improved. The method for pushing the target scene by the electronic device may be, but is not limited to, a voice pushing target scene, a text pushing target scene, a picture pushing target scene, and the like, and is not limited herein.
According to the scene pushing method provided by the embodiment of the application, when the cloud server detects that the electronic device successfully accesses the intelligent device to be configured to the network for the first time, the basic information of the intelligent device to be configured is obtained, the cloud server obtains the target scene comprising the intelligent device to be configured based on the basic information of the intelligent device to be configured, the electronic device receives and pushes the target scene sent by the cloud server, and when the intelligent device to be configured successfully accesses the network for the first time, the target scene comprising the intelligent device to be configured is obtained and pushed based on the basic information of the intelligent device to be configured, so that the target scene is automatically obtained, user operation is reduced, and user experience is improved.
Referring to fig. 4, fig. 4 is a schematic flowchart illustrating a scene pushing method according to an embodiment of the present application. In a specific embodiment, the scene pushing method is applied to the scene pushing apparatus 500 shown in fig. 12 and the electronic device 100 (fig. 13) configured with the scene pushing apparatus 500, and the present embodiment will take the electronic device as an example to describe a specific flow of the present embodiment, where the electronic device may include an electronic device, a tablet computer, a wearable electronic device, a vehicle-mounted device, and the like, which is not limited herein, and the following will describe in detail with respect to the flow shown in fig. 4, and the scene pushing method may specifically include the following steps:
step S201: when detecting that the intelligent equipment to be configured is successfully accessed to the network for the first time, acquiring basic information of the intelligent equipment to be configured.
Step S202: and acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured.
Step S203: and pushing the target scene.
For detailed description of steps S201 to S203, please refer to steps S101 to S103, which are not described herein again.
According to the scene pushing method provided by the embodiment of the application, when the situation that the intelligent device to be configured is successfully accessed to the network for the first time is detected, the basic information of the intelligent device to be configured is obtained, the target scene comprising the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured, and the target scene is pushed, so that when the intelligent device to be configured is successfully accessed to the network for the first time, the target scene comprising the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured and pushed, the target scene is automatically obtained, user operation is reduced, and user experience is improved.
Referring to fig. 5, fig. 5 is a flowchart illustrating a scene pushing method according to another embodiment of the present application. The method is applied to the electronic device, and will be described in detail with reference to the flow shown in fig. 5, where the scene pushing method may specifically include the following steps:
step S301: when detecting that the intelligent equipment to be configured is successfully accessed to the network for the first time, acquiring basic information of the intelligent equipment to be configured.
For detailed description of step S301, please refer to step S101, which is not described herein again.
Step S302: and acquiring attribute information of a target user, wherein the target user is a user corresponding to a user account logged in by the electronic equipment.
In this embodiment, when detecting that the intelligent device to be configured is successfully accessed to the network for the first time, the electronic device may obtain, in addition to the basic information of the intelligent device to be configured, attribute information of a target user, where the target user is a user corresponding to a user account to which the electronic device logs in, where the user account is a user account to which the electronic device logs in. The electronic device may record a plurality of user accounts at the same time, and select one of the user accounts to be online, so that the target user may be a user corresponding to the user account selected to be online in the electronic device. It can be understood that the electronic device may first obtain the basic information of the intelligent device to be configured, and then obtain the attribute information of the target user; the attribute information of the target user can be obtained first, and then the basic information of the intelligent device to be configured is obtained; the basic information of the intelligent device to be configured and the attribute information of the target user may also be obtained at the same time, which is not limited herein.
As one way, the attribute information of the target user may include at least basic information of the target user and behavior information of the target user, where the basic information of the target user may include an age of the target user, a sex of the target user, an address of the target user, hobbies of the target user, and the like; the behavior information of the target user includes the historical time of the target user going out, the historical time of the target user going home, the historical sleeping time of the target user, the historical time of the target user getting up, and the like, which is not limited herein.
Step S303: and calculating the basic information of the intelligent equipment to be configured and the attribute information of the target user through a preset algorithm to generate the target scene.
Further, the electronic device may preset and store a preset algorithm, and the preset algorithm may be an intelligent scene generation algorithm. As a manner, after obtaining the basic information of the to-be-configured intelligent device and the attribute information of the target user, the basic information of the to-be-configured intelligent device and the attribute information of the target user may be calculated based on a preset algorithm to generate a target scene. For example, the basic information of the smart device to be configured is "air conditioner-XX model", and the attribute information of the target user is "man-42 year-time of returning home 7 pm", then, the "air conditioner-XX model" and "man-42 year-time of returning home 7 pm" may be calculated by a preset algorithm to generate a target scene, where the generated target scene may include "7 pm-XX model air conditioner on", "7 pm-XX model air conditioner on and adjusted to 27 °", and the like, which is not limited herein.
Referring to fig. 6, fig. 6 is a flowchart illustrating a step S303 of the scene pushing method according to the embodiment shown in fig. 5 of the present application. As will be explained in detail with respect to the flow shown in fig. 6, the method may specifically include the following steps:
step S3031: a plurality of scene data is obtained from a scene database.
As an implementation manner, when detecting that the intelligent device to be configured successfully accesses the network for the first time, the electronic device may obtain, in addition to the basic information of the intelligent device to be configured and the attribute information of the target user, a plurality of pieces of scene data from a scene database, where the scene database may be a database stored in a server or a database stored in the electronic device, and optionally, the scene database is a database stored in the server, and is updated by the server in real time or on time and then is read by the plurality of electronic devices. The sequence of acquiring, by the electronic device, the basic information of the intelligent device to be configured, the attribute information of the target user, and the plurality of scene data from the scene database is not limited herein, that is, the electronic device may acquire the basic information of the intelligent device to be configured, then acquire the attribute information of the target user, and finally acquire the plurality of scene data from the scene database; the method comprises the steps of firstly obtaining a plurality of scene data from a scene database, then obtaining basic information of the intelligent device to be configured, and finally obtaining attribute information of a target user; the basic information of the intelligent device to be configured, the attribute information of the target user and the plurality of scene data can also be simultaneously obtained, and are not repeated herein.
The plurality of scene data may include scene data set or used by each of the plurality of users, or scene data set or used by a majority of the plurality of users, for example, the plurality of scene data may include an air conditioner temperature set by each user, an air conditioner temperature set by a majority of users, an air conditioner on time set by each user, an air conditioner on time set by a majority of users, and the like, which are not limited herein.
Step S3032: and calculating the basic information of the intelligent equipment to be configured, the attribute information of the target user and the plurality of scene data through the preset algorithm to generate the target scene.
Further, the electronic device may preset and store a preset algorithm, and the preset algorithm may be an intelligent scene generation algorithm. As a mode, after obtaining the basic information of the device to be configured, the attribute information of the target user, and the plurality of scene data, the basic information of the smart device to be configured, the attribute information of the target user, and the plurality of scene data may be calculated based on a preset algorithm to generate the target scene. For example, the basic information of the smart device to be configured is "air conditioner-XX model", the attribute information of the target user is "male-42 years old", the plurality of scene data includes "most of male users 42 years old return home at 7 pm, and turn on the air conditioner to 27 °" after returning home ", then the" air conditioner-XX model "and" male-42 years old "and the plurality of scene data may be calculated by a preset algorithm to generate the target scene, where the generated target scene may include" air conditioner 7 pm-XX model, and turn to 27 ° "and so on. For another example, the basic information of the smart device to be configured is "air conditioner-XX model", the attribute information of the target user is "male-42 years old-shenzhen", the plurality of scene data includes "male user in most shenzhen region returns home at 10 pm, and turns on the air conditioner to 24 °" after returning home, then "air conditioner-XX model" and "male-42 years old-shenzhen" and the plurality of scene data may be calculated by a preset algorithm to generate the target scene, where the generated target scene may include "air conditioner in 10 pm-XX model", "air conditioner in 10 pm-XX model and turns to 24 °" and so on.
Step S304: and pushing the target scene.
For detailed description of step S304, please refer to step S103, which is not described herein.
Step S305: and receiving the determined information triggered by the target user based on the target scene.
In this embodiment, after the electronic device pushes the target scenario, the user may select the target scenario, for example, the user may select to determine the target scenario, and characterize that the user agrees to configure the target scenario for the smart device to be configured, for example, the user may select to deny the target scenario, and characterize that the user does not agree to configure the target scenario for the smart device to be configured, for example, the user may select to modify the target scenario, characterize that the user desires to perform modification editing on the basis of the target scenario, and the like, which is not limited herein. As a mode, after pushing a target scene, when receiving determination information triggered by a target user based on the target scene, the electronic device may determine that the target user agrees to configure the target scene for the smart device to be configured.
Step S306: and responding to the determined information to take the target scene as the current scene of the intelligent equipment to be configured.
Further, the electronic device determines the target scene as the current scene of the smart device to be configured based on the determination information as a response, for example, if the target scene is "turn on the air conditioner at 7 pm" and confirmation information triggered by the user is received, then the current scene of the smart device to be configured may be "turn on the air conditioner at 7 pm".
Step S307: and adding the target scene as the scene data to the scene database and storing the scene data.
As a mode, after the target scene is determined, the target scene can be added to the scene database as scene data for storage, so as to enrich the scene database for reference by other users, and improve user experience.
Step S308: and receiving modification information triggered by the target user based on the target scene.
In this embodiment, after the electronic device pushes the target scene or after the electronic device determines the target scene, if modification information triggered by the target user based on the target scene is received, it may be determined that the user desires to modify and edit the target scene. As a first mode, after the electronic device pushes a target scene, if modification information triggered by a target user based on the target scene is received, it may be considered that the user desires to modify and edit the pushed target scene; as a second mode, when the electronic device pushes a target scene and receives confirmation information triggered by a target user, the target scene is used as a current scene of the intelligent device to be configured, and when the user uses the target scene as the current scene in the use process of the intelligent device to be configured, if there is a modification suggestion for the target scene, the modification information may be triggered, and correspondingly, when the electronic device receives modification information triggered by the target user based on the target scene, the user may think that the user desires to modify and edit the target scene used as the current scene.
Step S309: and updating the target scene in response to the modification information.
Further, the electronic device modifies the target scene based on the modification information and updates the target scene in response. For example, if the target scene is "turn on the air conditioner at 7 pm and turn the air conditioner to 27 °", and the modification information is "lower the air conditioner by 1 °", the electronic device may modify the target scene based on the modification information and update to "turn on the air conditioner at 7 pm and turn the air conditioner to 26 °".
Step S310: and taking the updated target scene as the current scene of the intelligent equipment to be configured.
In this embodiment, after determining the updated target scene, the updated target scene is determined as the current scene of the smart device to be configured, for example, if the updated target scene is "turn on the air conditioner at 7 pm and turn the air conditioner to 26 °", then the current scene of the smart device to be configured may be determined as "turn on the air conditioner at 7 pm and turn the air conditioner to 26 °".
Step S311: and adding the updated target scene as the scene data to the scene database and storing the scene data.
As a way, after the updated target scene is obtained, the updated target scene can be added to the scene database as scene data for storage, so as to enrich the scene database for reference by other users, and improve user experience.
In another embodiment of the scene pushing method provided in this application, when it is detected that a device to be configured successfully accesses a network for the first time, basic information of the device to be configured is obtained, and attribute information of a target user is obtained, where the target user is a user corresponding to a user account logged in by an electronic device, and the basic information of the intelligent device to be configured and the attribute information of the target user are calculated through a preset algorithm to generate a target scene, and the target scene is pushed. And receiving the determination information triggered by the target user based on the target scene, responding to the determination information, taking the target scene as the current scene of the intelligent equipment to be configured, and adding the target scene as scene data to a scene database and storing the scene data. And receiving modification information triggered by the target user based on the target scene, responding to the modification information to update the target scene, taking the updated target scene as the current scene of the intelligent equipment to be configured, and adding the updated target scene as scene data to a scene database and storing the scene data. Compared with the scene pushing method shown in fig. 3, in the embodiment, the attribute information of the target user is also obtained, the target scene is obtained based on the basic information of the intelligent device to be configured and the attribute information of the target user, and the effectiveness of the obtained target scene is improved; in addition, the present embodiment further receives determination information or modification information of the target user to select the pushed target scene, and adds the determined target scene or the updated target scene to the scene database to enrich the scene database.
Referring to fig. 7, fig. 7 is a flowchart illustrating a scene pushing method according to still another embodiment of the present application. The method is applied to the electronic device, and will be described in detail with reference to the flow shown in fig. 7, where the scene pushing method may specifically include the following steps:
step S401: when detecting that the intelligent equipment to be configured is successfully accessed to the network for the first time, acquiring basic information of the intelligent equipment to be configured.
For detailed description of step S401, please refer to step S101, which is not described herein again.
Step S402: a plurality of preset scenes are obtained.
In this embodiment, the electronic device may obtain a plurality of preset scenes from the cloud server, or may obtain a plurality of preset scenes locally. When the electronic equipment acquires a plurality of preset scenes from the cloud server, the preset scenes can be stored in the cloud server in advance and updated in real time or at preset time intervals, and the electronic equipment can acquire the preset scenes from the cloud server through a wireless network or a data network so as to reduce the occupation of the storage space of the electronic equipment; in addition, when the electronic device acquires a plurality of preset scenes from the local, the preset scenes can be acquired in advance and then stored in the local of the electronic device, and are updated in real time or at preset time intervals, so that the influence of a network on the acquisition speed of the preset scenes is reduced, and the acquisition speed of the preset scenes is increased.
Step S403: and selecting a target preset scene from the plurality of preset scenes based on the basic information of the intelligent equipment to be configured.
Further, after determining the basic information and the multiple preset scenes of the intelligent device to be configured, a target preset scene may be selected from the multiple preset scenes based on the basic information of the intelligent device to be configured, where the number of the selected target preset scenes may be one or multiple, and is not limited herein. For example, when the basic information of the smart device to be configured is "air conditioner-XX model", then, a preset scene including an XX model of an air conditioner may be selected from a plurality of preset scenes as a target preset scene, and for example, "7 o 'clock in the evening controls the XX model of the air conditioner to be turned on" and/or "7 o' clock in the morning controls the XX model of the air conditioner to be turned off" is selected as the target preset scene.
The method includes the steps that all target preset scenes meeting conditions are selected from a plurality of preset scenes based on basic information of the intelligent device to be configured, and if all preset scenes including the intelligent device to be configured are selected as the target preset scenes from the plurality of preset scenes; the method for selecting the target preset scene from the plurality of preset scenes can be random selection, sequential selection according to the sequence of the plurality of preset scenes, reverse selection and the like, of course, the preset scene with the largest number of selected times, the highest user evaluation and/or the largest number of used times can be selected from the plurality of preset scenes according to the condition as the target preset scene, and no limitation is made herein.
Step S404: and determining the target preset scene as the target scene.
Further, after the target preset scenes are obtained, the target preset scenes may be determined as the target scenes, where when one target preset scene is provided, the one target preset scene may be determined as the target scene, and when a plurality of target preset scenes are provided, one, a part, or all of the plurality of target preset scenes may be determined as the target scenes.
Step S405: and pushing the target scene.
For detailed description of step S405, please refer to step S103, which is not described herein again.
In a scenario push method provided by another embodiment of the present application, when it is detected that an intelligent device to be configured is successfully accessed to a network for the first time, basic information of the intelligent device to be configured is obtained, a plurality of preset scenarios are obtained, a target preset scenario is selected from the plurality of preset scenarios based on the basic information of the intelligent device to be configured, the target preset scenario is determined as a target scenario, and the target scenario is pushed. Compared with the scene pushing method shown in fig. 3, in the embodiment, a plurality of preset scenes are preset, and a target preset scene is selected from the plurality of preset scenes as a target scene based on the basic information of the intelligent device to be configured, so that the acquisition speed of the target scene is increased.
Referring to fig. 8, fig. 8 is a schematic flowchart illustrating a scene pushing method according to another embodiment of the present application. The method is applied to the electronic device, and will be described in detail with reference to the flow shown in fig. 8, where the scene pushing method may specifically include the following steps:
step S501: the method comprises the steps of obtaining basic information and a plurality of scenes of a plurality of intelligent devices, wherein the basic information and the scenes of the intelligent devices correspond to each other one by one.
In this embodiment, a plurality of training data sets are first collected, where the plurality of training data sets include basic information and a plurality of scenes of a plurality of smart devices, where the basic information and the plurality of scenes of the plurality of smart devices correspond to each other one-to-one, that is, each of the plurality of smart devices corresponds to one of the plurality of scenes, and of course, the plurality of scenes may be the same or different. For example, the basic information of the plurality of intelligent devices includes "a living room television" and "a living room lighting lamp", then, a scene corresponding to the living room television may be "a living room television is turned on at 7 pm", a scene corresponding to the living room lighting lamp may be "a living room lighting lamp is turned on at 7 pm", and then, the living room television and the living room lighting lamp correspond to different scenes; for another example, the plurality of intelligent devices include a "living room television" and a "living room lighting lamp", then, the scene corresponding to the living room television may be "the living room television and the living room lighting lamp are turned on at 7 pm", the scene corresponding to the living room lighting lamp is "the living room television and the living room lighting lamp are turned on at 7 pm", and then the living room television and the living room lighting lamp correspond to the same scene.
Step S502: training a preset neural network based on the basic information of the intelligent devices and the scenes to obtain the trained scene generation model.
As a mode, after obtaining the basic information and the scenes of the multiple intelligent devices, the basic information and the scenes of the multiple intelligent devices are used as a training data set to train a preset neural network, so as to obtain a trained scene generation model. As can be appreciated, the basic information of a plurality of intelligent devices and a plurality of scenes, which correspond to each other one by one, may be input to a preset neural network for training, so as to obtain a trained scene generation model. In addition, after the trained scene generation model is obtained, the accuracy of the trained scene generation model may be verified, and it is determined whether the output information of the trained scene generation model based on the input data meets the preset requirement, and when the output information of the trained scene generation model based on the input data does not meet the preset requirement, the training data set may be collected again to train the preset neural network, or a plurality of training data sets may be obtained to correct the trained scene generation model, which is not limited herein.
Step S503: when detecting that the intelligent equipment to be configured is successfully accessed to the network for the first time, acquiring basic information of the intelligent equipment to be configured.
For detailed description of step S503, please refer to step S101, which is not described herein again.
Step S504: and inputting the basic information of the intelligent equipment to be configured into the trained scene generation model.
As a mode, after obtaining the basic information of the intelligent device to be configured, the basic information of the intelligent device to be configured may be input into the trained scene generation model GAN. The trained scene generation model can be stored locally in the electronic device after being trained in advance. Based on this, after the electronic device obtains the basic information of the intelligent device to be configured, the trained scene generation model may be directly invoked locally, for example, an instruction may be directly sent to the scene generation model to instruct the trained scene generation model to read the basic information of the intelligent device to be configured in a target storage area, or the electronic device may directly input the intelligent device to be configured into the trained scene generation model stored locally, so that the speed of inputting the trained scene generation model into the preview image is effectively prevented from being reduced due to the influence of network factors, the speed of obtaining the basic information of the intelligent device to be configured by the trained scene generation model is increased, and user experience is improved.
In addition, the trained scene generation model may be stored in a server in communication with the electronic device after training is completed in advance. Based on this, after the electronic device acquires the basic information of the intelligent device to be configured, an instruction may be sent to the trained scene generation model stored in the server through the network to instruct the trained scene generation model to read the basic information of the intelligent device to be configured acquired by the electronic device through the network, or the electronic device may send the basic information of the intelligent device to be configured to the trained scene generation model stored in the server through the network, so that the occupation of the storage space of the electronic device is reduced and the influence on the normal operation of the electronic device is reduced by storing the trained scene generation model in the server.
As a mode, the specific meaning of each layer in the generated network corresponding to the scene generation model may be: the layer 1 InputLR represents the basic information of the intelligent device to be configured; layers 2 and 3 represent a convolution layer and a ReLU (Rectified linear unit, which is one of deep learning activation functions) activation function layer, where the step size of the convolution operation is 1, the convolution kernel size is 3 × 3, and the number of convolution kernels is 64; the layers 4 to 9 are residual network function blocks, two groups of convolution layers are used and are followed by a batch normalization layer, a ReLU is used as an activation function, and finally an element-level addition layer is used, wherein the step length of convolution operation is 1, the size of a convolution kernel is 3 x 3, and the number of the convolution kernels is 64; layers 10 to 33 are 4 residual network function blocks, each of which is the same as above; layers 34 to 37 are two sets of deconvolution units for image upsampling. The step size of the deconvolution layer operation is 0.5, the convolution kernel size is 3 x 3, and the number of convolution kernels is 64; layer 38 is a convolutional layer, the convolution operation step size is 1, the convolution kernel size is 3 × 3, and the number of convolution kernels is 3, in order to generate 3 channels of RGB data. The last layer of the generating network processes basic information of the intelligent device to be configured to generate a target scene comprising the intelligent device to be configured.
Step S505: and acquiring the target scene output by the trained scene generation model.
Step S506: and pushing the target scene.
For a detailed description of step S506, please refer to step S103, which is not described herein.
The method for pushing a scene, provided by another embodiment of the present application, includes obtaining basic information and multiple scenes of multiple intelligent devices, where the basic information and the multiple scenes of the multiple intelligent devices correspond to each other one to one, training a preset neural network based on the basic information and the multiple scenes of the multiple intelligent devices to obtain a trained scene generation model, obtaining the basic information of the intelligent device to be configured when it is detected that the intelligent device to be configured is successfully accessed to a network for the first time, inputting the basic information of the intelligent device to be configured into the trained scene generation model, obtaining a target scene output by the trained scene generation model, and pushing the target scene. Compared with the scene pushing method shown in fig. 3, in the embodiment, the target scene is output through the trained scene generation model based on the input basic information of the intelligent device to be configured, and the speed and the accuracy of the obtained target scene are improved through artificial intelligence.
Referring to fig. 9, fig. 9 is a schematic flowchart illustrating a scene pushing method according to yet another embodiment of the present application. The method is applied to the electronic device, wherein in this embodiment, the number of the target scenes is multiple, at least one target scene includes a first target scene and a second target scene, and the priority of the first target scene is higher than the priority of the second target scene, which will be described in detail with reference to the flow shown in fig. 9, and the scene pushing method may specifically include the following steps:
step S601: when detecting that the intelligent equipment to be configured is successfully accessed to the network for the first time, acquiring basic information of the intelligent equipment to be configured.
Step S602: and acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured.
Step S603: and pushing the target scene.
For detailed description of steps S601 to S603, refer to steps S101 to S103, which are not described herein again.
Step S604: selection information triggered by the target user based on the plurality of target scenes is received.
In this embodiment, the number of target scenes pushed by the electronic device may be multiple, for example, the electronic device may push multiple target scenes, such as "turn on the air conditioner at 7 pm", "turn on the air conditioner at 7 pm and turn the air conditioner to 27 °", "turn off the air conditioner at 7 am", and the like. Further, the user may select multiple target scenes, and specifically, after the multiple target scenes are pushed, when receiving selection information that a target uses to trigger based on the multiple target scenes, the electronic device may determine that the target user is performing a selection operation on the multiple target scenes. As one mode, the electronic device may display the multiple target scenes on the display interface, and the user may select the multiple target scenes through touch operation, for example, the user may click the target scene to be selected with a single finger, press the target scene to be selected with a double finger, delete other target scenes except the target scene to be selected from the multiple target scenes, and the like, which is not limited herein. As another mode, the electronic device may number a plurality of target scenes, and display the plurality of numbers in the display interface or simultaneously display the plurality of target scenes and the plurality of numbers, and the user may select a target scene by selecting a number, for example, the plurality of target scenes include a target scene numbered 1, a target scene numbered 2, a target scene numbered 3, a target scene numbered 4, and a target scene numbered 5, and when it is detected that the user selects the number 2 and the number 4, it may be determined that the user selects the target scene numbered 2 and the target scene numbered 4 from the plurality of target scenes.
Step S605: determining at least one target scene from the plurality of target scenes as a current scene of the intelligent device to be configured based on the selection information.
Further, the electronic device responds to selection information triggered by a user, at least one target scene in a plurality of target scenes is determined as a current scene of the intelligent device to be configured, for example, the target scenes comprise that "7 pm air conditioner is turned on", "7 pm air conditioner is turned on and air conditioner is adjusted to 27 °", "7 am air conditioner is turned off", and when the selection information of the user selects at least "7 pm air conditioner is turned on and air conditioner is adjusted to 27 °", "7 am air conditioner is turned off", then the "7 pm air conditioner is turned on and air conditioner is adjusted to 27 °", "7 am air conditioner is turned off" is determined as the current scene of the intelligent device to be configured to manage and control the intelligent device to be configured.
Step S606: receiving instruction information for instructing to set a priority of each of the at least one target scene.
It can be understood that each target scenario in the at least one target scenario includes a control of the to-be-configured smart device, and therefore, when any two target scenarios in the at least one target scenario invoke the to-be-configured smart device at the same time, a response conflict of the to-be-configured smart device may occur. For example, the at least one target scene includes a first target scene "turn on the air conditioner and turn the air conditioner to 27 ° at 7 pm" and a second target scene "turn on the air conditioner and turn the air conditioner to 26 ° at home by the user", when the user goes home at 7 pm, both the first target scene and the second target scene call the air conditioner, but the first target scene needs to turn the air conditioner to 27 °, and the second target scene needs to turn the air conditioner to 26 °, so a response conflict may occur to the smart device to be configured.
As a mode, a priority of each target scene in the at least one target scene selected by the user may be set, that is, when any two target scenes in the at least one target scene call the to-be-configured smart device, the to-be-configured smart device may respond according to the priority selection of the any two target scenes. After determining the at least one selected target scene, the user may send instruction information to the electronic device based on the at least one target field, where the instruction information is used to indicate a priority of each target scene in the at least one target scene, and then the electronic device receives the instruction information.
Step S607: setting the priority of each target scene in response to the instruction information.
After receiving the instruction information, the electronic device may set the priority of each target scene in response to the instruction information, so as to avoid execution conflict of the intelligent device to be configured.
Step S608: and when the first target scene and the second target scene call the intelligent equipment to be configured at the same time, controlling the intelligent equipment to be configured to respond to the call of the first target scene.
As an implementable manner, the at least one target scene includes a first target scene and a second target scene, and the priority of the first target scene is higher than the priority of the second target scene, so when the first target scene and the second target scene call the smart device to be configured at the same time, the smart device to be configured is controlled to respond to the call of the first target scene. For example, the priority of the first target scenario "turn on the air conditioner at 7 pm and turn the air conditioner to 27 °" is higher than the priority of the second target scenario "turn on the air conditioner home and turn the air conditioner to 26 °" by the user ", then the smart device to be configured may respond to the call of the first target scenario" turn on the air conditioner at 7 pm and turn the air conditioner to 27 ° "when the first target scenario and the second target scenario call the smart device to be configured at the same time.
In another scenario pushing method provided by this application, when it is detected that an intelligent device to be configured is successfully accessed to a network for the first time, basic information of the intelligent device to be configured is obtained, a target scenario including the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured, and the target scenario is pushed. The method comprises the steps of receiving selection information triggered by a target user based on a plurality of target scenes, determining at least one target scene from the plurality of target scenes as a current scene of the intelligent device to be configured based on the selection information, receiving instruction information, wherein the instruction information is used for indicating the setting of the priority of each target scene in the at least one target scene, setting the priority of each target scene in response to the instruction information, and controlling the intelligent device to be configured to respond to the calling of the first target scene when the intelligent device to be configured is called by the first target scene and the second target scene simultaneously. Compared with the scene pushing method shown in fig. 3, in this embodiment, the number of the pushed target scenes is multiple, the user can select at least one required target scene from the multiple target scenes, in addition, the user can set the priority of the at least one target scene, and the to-be-configured intelligent device selects a response according to the priority of the target scene, so that the conflict generated when the multiple target scenes call the to-be-configured intelligent device is effectively avoided, and the practicability of the multiple target scenes is improved.
Referring to fig. 10, fig. 10 is a schematic flowchart illustrating a scene pushing method according to yet another embodiment of the present application. The method is applied to the electronic device, and will be described in detail with reference to the flow shown in fig. 10, where the scene pushing method may specifically include the following steps:
step S701: when detecting that the intelligent equipment to be configured is successfully accessed to the network for the first time, acquiring basic information of the intelligent equipment to be configured.
Step S702: and acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured.
Step S703: and pushing the target scene.
For detailed description of steps S701 to S703, please refer to steps S101 to S103, which are not described herein again.
Step S704: when the target scene comprising the intelligent device to be configured cannot be obtained based on the basic information of the intelligent device to be configured, the electronic device receives a reference scene shared by another electronic device.
As a mode, when the electronic device cannot automatically acquire a target scene including the to-be-configured intelligent device based on the basic information of the to-be-configured intelligent device, a reference scene shared by another electronic device may be received, and it can be understood that the electronic device may receive the reference scene shared by another electronic device through a data network, a wireless network, a bluetooth, or the like, where the reference scene may be presented in a text form or in a picture form, which is not limited herein.
Step S705: and judging whether the reference scene comprises the intelligent equipment to be configured.
Further, the electronic device analyzes the reference scene, for example, the electronic device obtains the trigger device and the controlled device in the reference scene, and detects whether the intelligent device to be configured is included in the trigger device and the controlled device, and when the intelligent device to be configured is included in the trigger device or the controlled device, it may be determined that the intelligent device to be configured is included in the reference scene; when the intelligent device to be configured is not included in both the trigger device and the controlled device, it may be determined that the intelligent device to be configured is not included in the reference scene.
Referring to fig. 11, fig. 11 is a flowchart illustrating a step S705 of the scene pushing method according to the embodiment shown in fig. 10 of the present application. As will be described in detail with respect to the flow shown in fig. 11, the method may specifically include the following steps:
step S7051: acquiring a function identifier of each intelligent device in the plurality of intelligent devices in the reference scene.
As an embodiment, after receiving a reference scene sent by another electronic device, a function identifier of each of a plurality of smart devices in the reference scene is obtained, where the function identifier of the smart device may be used to characterize functions that can be implemented by the smart device. For example, when the smart device is an air conditioner, the function identifier of the smart device may be cooling; when the smart device is a lighting lamp, then the function identifier of the smart device may be lighting.
Step S7052: and acquiring the function identifier of the intelligent equipment to be configured.
Further, a function identifier of the intelligent device to be configured is obtained, where the function identifier of the intelligent device may be used to represent functions that can be implemented by the intelligent device to be configured.
Step S7053: and judging whether the function identifier of the intelligent equipment to be configured is consistent with the function identifier of any intelligent equipment in the plurality of intelligent equipment.
In this embodiment, after the function identifier of the intelligent device to be configured and the function identifiers of the plurality of intelligent devices are obtained, the function identifier of the intelligent device to be configured and the function identifiers of the plurality of intelligent devices may be compared to determine whether the function identifier of the intelligent device to be configured is consistent with the function identifier of any one of the plurality of intelligent devices, and it can be understood that when the function identifier of the intelligent device to be configured is consistent with the function identifier of any one of the plurality of intelligent devices, the reference scene may be considered to include the intelligent device to be configured; when the function identifier of the intelligent device to be configured is inconsistent with the function identifier of any one of the plurality of intelligent devices, it may be considered that the intelligent device to be configured is not included in the reference scene.
For example, if the to-be-configured smart device is an air conditioner, then the function identifier of the to-be-configured smart device may include cooling, and then, when the function identifiers of the plurality of smart devices in the reference scene include cooling, it may be determined that the function identifier of the to-be-configured smart device is consistent with the function identifier of any one of the plurality of smart devices, for example, when the plurality of smart devices include an air conditioner and/or a fan, it may be determined that the function identifier of the to-be-configured smart device is consistent with the function identifier of any one of the plurality of smart devices. It can be understood that, when the function identifier of the intelligent device to be configured is consistent with the function identifier of the intelligent device, the intelligent device to be configured is not completely the same as the intelligent device, but the intelligent device in the reference scene may be replaced by the intelligent device to be configured, so as to improve the success rate of automatic acquisition of the use scene of the intelligent device to be configured.
Step S706: and when the reference scene comprises the intelligent equipment to be configured, pushing the reference scene.
Further, when it is determined that the reference scene includes the intelligent device to be configured, the reference scene may be pushed to implement automatic configuration of the use scene of the intelligent device to be configured, reduce user operations, and improve user experience.
In another scenario push method provided by this application, when it is detected that an intelligent device to be configured is successfully accessed to a network for the first time, basic information of the intelligent device to be configured is obtained, a target scenario including the intelligent device to be configured is obtained based on the basic information of the intelligent device to be configured, and the target scenario is pushed. When a target scene including the intelligent device to be configured cannot be acquired based on basic information of the intelligent device to be configured, the electronic device receives a reference scene shared by another electronic device, judges whether the intelligent device to be configured is included in the reference scene, and pushes the reference scene when the intelligent device to be configured is included in the reference scene. Compared with the scene pushing method shown in fig. 3, the embodiment may also receive a reference scene shared by another electronic device when the target scene cannot be acquired, and push the reference scene when the reference scene includes the to-be-configured intelligent device, so as to promote automatic configuration of the scene of the to-be-configured intelligent device.
Referring to fig. 12, fig. 12 is a block diagram illustrating a scene pushing apparatus 500 according to an embodiment of the present application. The scene pushing apparatus 500 is applied to the electronic device 100, and will be explained with reference to the block diagram shown in fig. 12, where the scene pushing apparatus 500 includes: an information acquisition module 510, a scene acquisition module 520, and a scene push module 530, wherein:
the information obtaining module 510 is configured to obtain basic information of the to-be-configured smart device when it is detected that the to-be-configured smart device successfully accesses the network for the first time.
A scene obtaining module 520, configured to obtain a target scene including the to-be-configured smart device based on the basic information of the to-be-configured smart device. Further, the scene acquiring module 520 includes: the system comprises an attribute information acquisition submodule, a target scene generation submodule, a preset scene acquisition submodule, a target preset scene selection submodule, a target scene determination submodule, a basic information input submodule, a target scene output submodule, a scene acquisition submodule and a model training submodule, wherein:
and the attribute information acquisition submodule is used for acquiring the attribute information of a target user, wherein the target user is a user corresponding to the user account number logged in by the electronic equipment.
And the target scene generation submodule is used for calculating the basic information of the intelligent equipment to be configured and the attribute information of the target user through a preset algorithm to generate the target scene. Further, the object scene generation sub-module includes: a scene data acquisition unit and a target scene generation unit, wherein:
a scene data acquiring unit for acquiring a plurality of scene data from a scene database.
And the target scene generation unit is used for calculating the basic information of the intelligent device to be configured, the attribute information of the target user and the plurality of scene data through the preset algorithm to generate the target scene.
And the preset scene acquisition submodule is used for acquiring a plurality of preset scenes.
And the target preset scene selection submodule is used for selecting a target preset scene from the plurality of preset scenes based on the basic information of the intelligent equipment to be configured.
And the target scene determining submodule is used for determining the target preset scene as the target scene.
And the basic information input submodule is used for inputting the basic information of the intelligent equipment to be configured into the trained scene generation model.
And the target scene output submodule is used for acquiring the target scene output by the trained scene generation model.
The scene obtaining sub-module is used for obtaining basic information and a plurality of scenes of a plurality of intelligent devices, wherein the basic information and the scenes of the intelligent devices correspond to each other one by one.
And the model training submodule is used for training a preset neural network based on the basic information of the intelligent devices and the scenes to obtain the trained scene generation model.
A scene pushing module 530, configured to push the target scene.
Further, the scene pushing device 500 further includes: the method comprises the following steps of determining an information receiving module, a first response module, a first adding module, a modified information receiving module, an updating module, a second response module and a second adding module, wherein:
and the determination information receiving module is used for receiving the determination information triggered by the target user based on the target scene.
And the first response module is used for responding to the determination information and taking the target scene as the current scene of the intelligent device to be configured.
And the first adding module is used for adding the target scene as the scene data to the scene database and storing the scene data.
And the modification information receiving module is used for receiving the modification information triggered by the target user based on the target scene.
And the updating module is used for responding to the modification information to update the target scene.
And the second response module is used for taking the updated target scene as the current scene of the intelligent device to be configured.
And the second adding module is used for adding the updated target scene as the scene data to the scene database and storing the scene data.
Further, the scene pushing device 500 further includes: the system comprises a selection information receiving module, a current scene determining module, an instruction information receiving module, a third response module and a control module, wherein:
and the selection information receiving module is used for receiving the selection information triggered by the target user based on a plurality of target scenes.
And the current scene determining module is used for determining at least one target scene from the plurality of target scenes as the current scene of the intelligent device to be configured based on the selection information.
And the instruction information receiving module is used for receiving instruction information, and the instruction information is used for indicating the setting of the priority of each target scene in the at least one target scene.
And the third response module is used for setting the priority of each target scene in response to the instruction information.
And the control module is used for controlling the intelligent equipment to be configured to respond to the calling of the first target scene when the intelligent equipment to be configured is called by the first target scene and the second target scene simultaneously.
Further, the scene pushing device 500 further includes: reference scene receiving module, reference scene judging module and reference scene pushing module, wherein:
the reference scene receiving module is configured to, when a target scene including the to-be-configured smart device cannot be acquired based on the basic information of the to-be-configured smart device, receive, by the electronic device, a reference scene shared by another electronic device.
And the reference scene judging module is used for judging whether the intelligent equipment to be configured is included in the reference scene.
And the reference scene pushing module is used for pushing the reference scene when the reference scene comprises the intelligent equipment to be configured.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other type of coupling.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The embodiment of the present application further provides a scene pushing system, including an electronic device and a cloud server which are in communication connection, wherein: the cloud server is used for acquiring basic information of the intelligent device to be configured when the electronic device is detected to successfully access the intelligent device to be configured to the network for the first time; the cloud server is used for acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured; the electronic device is used for receiving and pushing the target scene sent by the cloud server.
Referring to fig. 13, a block diagram of an electronic device 100 according to an embodiment of the present disclosure is shown. The electronic device 100 may be a smart phone, a tablet computer, an electronic book, or other electronic devices capable of running an application. The electronic device 100 in the present application may include one or more of the following components: a processor 110, a memory 120, a screen 130, and one or more applications, wherein the one or more applications may be stored in the memory 120 and configured to be executed by the one or more processors 110, the one or more programs configured to perform the methods as described in the aforementioned method embodiments.
Processor 110 may include one or more processing cores, among other things. The processor 110 connects various parts within the overall electronic device 100 using various interfaces and lines, and performs various functions of the electronic device 100 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 120 and calling data stored in the memory 120. Alternatively, the processor 110 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 110 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 110, but may be implemented by a communication chip.
The Memory 120 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 120 may be used to store instructions, programs, code sets, or instruction sets. The memory 120 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the terminal 100 in use, such as a phonebook, audio-video data, chat log data, and the like.
The screen 130 is used for displaying information input by a user, information provided to the user, and various graphic user interfaces of the electronic device 100, which may be composed of graphics, text, icons, numbers, video, and any combination thereof, and in one example, the screen 130 may be a Liquid Crystal Display (LCD) or an Organic Light-Emitting Diode (OLED), which is not limited herein.
Referring to fig. 14, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable medium 600 has stored therein program code that can be called by a processor to perform the method described in the above-described method embodiments.
The computer-readable storage medium 600 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 600 includes a non-volatile computer-readable storage medium. The computer readable storage medium 600 has storage space for program code 610 for performing any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code 610 may be compressed, for example, in a suitable form.
To sum up, according to the scene pushing method, the apparatus, the system, the electronic device, and the storage medium provided in the embodiments of the present application, when it is detected that the to-be-configured intelligent device successfully accesses the network for the first time, the basic information of the to-be-configured intelligent device is obtained, the target scene including the to-be-configured intelligent device is obtained based on the basic information of the to-be-configured intelligent device, and the target scene is pushed, so that when the to-be-configured intelligent device successfully accesses the network for the first time, the target scene including the to-be-configured intelligent device is obtained based on the basic information of the to-be-configured intelligent device and pushed, thereby automatically obtaining the target scene, reducing user operations, and improving user experience.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (20)

  1. A scene pushing method is applied to an electronic device, and comprises the following steps:
    when detecting that the intelligent equipment to be configured is successfully accessed to a network for the first time, acquiring basic information of the intelligent equipment to be configured;
    acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured;
    and pushing the target scene.
  2. The method according to claim 1, wherein the obtaining a target scene including the smart device to be configured based on the basic information of the smart device to be configured comprises:
    acquiring attribute information of a target user, wherein the target user is a user corresponding to a user account logged in by the electronic equipment;
    and calculating the basic information of the intelligent equipment to be configured and the attribute information of the target user through a preset algorithm to generate the target scene.
  3. The method according to claim 2, wherein the calculating the basic information of the smart device to be configured and the attribute information of the target user through a preset algorithm to generate the target scene comprises:
    acquiring a plurality of scene data from a scene database;
    and calculating the basic information of the intelligent equipment to be configured, the attribute information of the target user and the plurality of scene data through the preset algorithm to generate the target scene.
  4. The method of claim 3, wherein after pushing the target scene, further comprising:
    receiving determination information triggered by the target user based on the target scene;
    and responding to the determined information to take the target scene as the current scene of the intelligent equipment to be configured.
  5. The method according to claim 4, wherein the determining information is used for determining the target scene as a current scene of the smart device to be configured, and further comprising:
    and adding the target scene as the scene data to the scene database and storing the scene data.
  6. The method of claim 3, wherein after pushing the target scene, further comprising:
    receiving modification information triggered by the target user based on the target scene;
    updating the target scene in response to the modification information;
    and taking the updated target scene as the current scene of the intelligent equipment to be configured.
  7. The method according to claim 6, wherein after the taking the updated target scene as the current scene of the smart device to be configured, further comprising:
    and adding the updated target scene as the scene data to the scene database and storing the scene data.
  8. The method according to any one of claims 1 to 7, wherein the obtaining a target scene including the smart device to be configured based on the basic information of the smart device to be configured comprises:
    acquiring a plurality of preset scenes;
    selecting a target preset scene from the plurality of preset scenes based on the basic information of the intelligent equipment to be configured;
    and determining the target preset scene as the target scene.
  9. The method according to any one of claims 1 to 8, wherein the obtaining a target scene including the smart device to be configured based on the basic information of the smart device to be configured comprises:
    inputting the basic information of the intelligent equipment to be configured into a trained scene generation model;
    and acquiring the target scene output by the trained scene generation model.
  10. The method according to claim 9, wherein before inputting the basic information of the smart device to be configured into the trained scene generation model, the method further comprises:
    acquiring basic information and a plurality of scenes of a plurality of intelligent devices, wherein the basic information and the scenes of the intelligent devices correspond to each other one by one;
    training a preset neural network based on the basic information of the intelligent devices and the scenes to obtain the trained scene generation model.
  11. The method according to any one of claims 2-7, wherein the number of the target scenes is multiple, and after the pushing the target scenes, the method further comprises:
    receiving selection information triggered by the target user based on a plurality of target scenes;
    determining at least one target scene from the plurality of target scenes as a current scene of the intelligent device to be configured based on the selection information.
  12. The method according to claim 11, wherein after determining at least one target scene from the plurality of target scenes as the current scene of the smart device to be configured based on the selection information, further comprising:
    receiving instruction information for instructing to set a priority of each of the at least one target scene;
    setting the priority of each target scene in response to the instruction information.
  13. The method according to claim 12, wherein the at least one object scene includes a first object scene and a second object scene, the first object scene has a higher priority than the second object scene, and wherein the setting of the priority of each object scene in response to the instruction information further comprises:
    and when the first target scene and the second target scene call the intelligent equipment to be configured at the same time, controlling the intelligent equipment to be configured to respond to the call of the first target scene.
  14. The method according to any one of claims 1-13, further comprising:
    when a target scene comprising the intelligent device to be configured cannot be acquired based on the basic information of the intelligent device to be configured, the electronic device receives a reference scene shared by another electronic device;
    judging whether the reference scene comprises the intelligent equipment to be configured or not;
    and when the reference scene comprises the intelligent equipment to be configured, pushing the reference scene.
  15. The method of claim 14, wherein the determining whether the smart device to be configured is included in the reference scene comprises:
    acquiring a function identifier of each intelligent device in a plurality of intelligent devices in the reference scene;
    acquiring a function identifier of the intelligent equipment to be configured;
    judging whether the function identifier of the intelligent device to be configured is consistent with the function identifier of any intelligent device in the plurality of intelligent devices;
    when the reference scene includes the to-be-configured smart device, pushing the reference scene includes:
    and when the function identifier of the intelligent device to be configured is consistent with the function identifier of any one of the intelligent devices, pushing the reference scene.
  16. A scene pushing method is applied to a scene pushing system, the scene pushing system comprises an electronic device and a cloud server which are in communication connection, and the method comprises the following steps:
    when the cloud server detects that the electronic equipment successfully accesses the intelligent equipment to be configured to the network for the first time, acquiring basic information of the intelligent equipment to be configured;
    the cloud server acquires a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured;
    the electronic equipment receives and pushes the target scene sent by the cloud server.
  17. A scene pushing device is applied to an electronic device, and the scene pushing device comprises:
    the information acquisition module is used for acquiring basic information of the intelligent equipment to be configured when the intelligent equipment to be configured is detected to be successfully accessed to a network for the first time;
    the scene acquisition module is used for acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured;
    and the scene pushing module is used for pushing the target scene.
  18. A scene pushing system is characterized by comprising an electronic device and a cloud server which are in communication connection, wherein:
    the cloud server is used for acquiring basic information of the intelligent device to be configured when the electronic device is detected to successfully access the intelligent device to be configured to the network for the first time;
    the cloud server is used for acquiring a target scene comprising the intelligent equipment to be configured based on the basic information of the intelligent equipment to be configured;
    the electronic device is used for receiving and pushing the target scene sent by the cloud server.
  19. An electronic device comprising a memory and a processor, the memory coupled to the processor, the memory storing instructions that, when executed by the processor, the processor performs the method of any of claims 1-15.
  20. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 15.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114124692A (en) * 2021-10-29 2022-03-01 青岛海尔科技有限公司 Intelligent device skill access method and device, electronic device and storage medium
CN115167161A (en) * 2022-06-27 2022-10-11 青岛海尔科技有限公司 Method and device for determining association relation of lamp, storage medium and electronic device
CN115361247A (en) * 2022-07-05 2022-11-18 芜湖美的厨卫电器制造有限公司 Scene recommendation method and device, storage medium and electronic equipment
WO2023221995A1 (en) * 2022-05-19 2023-11-23 华为技术有限公司 Intelligent device control method and electronic device

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112596410A (en) * 2020-12-24 2021-04-02 深圳市欧瑞博科技股份有限公司 Function updating method and device of intelligent switch, electronic equipment and storage medium
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CN114968011A (en) * 2022-05-10 2022-08-30 深圳康佳电子科技有限公司 Scene-based infinite screen splicing window combination processing method and related equipment

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104394045A (en) * 2014-10-29 2015-03-04 小米科技有限责任公司 Scene mode recommending method and device for an intelligent device
CN105207863A (en) * 2015-08-31 2015-12-30 青岛海尔智能家电科技有限公司 Method for controlling heterogeneous intelligent home electric appliances, cloud platform and home gateway
CN105278986A (en) * 2015-09-30 2016-01-27 小米科技有限责任公司 Control method and apparatus of electronic device
CN105306318A (en) * 2015-11-09 2016-02-03 小米科技有限责任公司 Intelligent scene configuration method and device and server
US20160127145A1 (en) * 2014-10-29 2016-05-05 Xiaomi Inc. Method and server for controlling smart devices based on predefined scenario mode
CN105634881A (en) * 2014-10-30 2016-06-01 腾讯科技(深圳)有限公司 Application scene recommending method and device
CN106597865A (en) * 2016-12-15 2017-04-26 北京小米移动软件有限公司 Information sharing method and information sharing device
CN108183843A (en) * 2017-12-28 2018-06-19 惠州Tcl家电集团有限公司 Sharing method, server and the computer readable storage medium of intelligent scene pattern
CN108845503A (en) * 2018-08-11 2018-11-20 深圳市百创网络科技有限公司 The providing method and its system of Intelligent household scene service
CN109299384A (en) * 2018-11-02 2019-02-01 北京小米智能科技有限公司 Scene recommended method, apparatus and system, storage medium
CN109683576A (en) * 2019-01-18 2019-04-26 爱图智能(深圳)有限公司 A kind of intelligent home furnishing control method based on artificial intelligence, system and device
CN109725541A (en) * 2018-12-12 2019-05-07 深圳绿米联创科技有限公司 Generation method, device, electronic equipment and the storage medium of automation

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105631069B (en) * 2014-10-30 2019-06-18 腾讯科技(深圳)有限公司 Smart machine control method and device
CN104881015B (en) * 2015-05-29 2017-11-24 四川长虹电器股份有限公司 A kind of information processing method and smart home control device
CN105099840A (en) * 2015-07-31 2015-11-25 小米科技有限责任公司 Setting method and device of intelligent household scene

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104394045A (en) * 2014-10-29 2015-03-04 小米科技有限责任公司 Scene mode recommending method and device for an intelligent device
US20160127145A1 (en) * 2014-10-29 2016-05-05 Xiaomi Inc. Method and server for controlling smart devices based on predefined scenario mode
CN105634881A (en) * 2014-10-30 2016-06-01 腾讯科技(深圳)有限公司 Application scene recommending method and device
CN105207863A (en) * 2015-08-31 2015-12-30 青岛海尔智能家电科技有限公司 Method for controlling heterogeneous intelligent home electric appliances, cloud platform and home gateway
CN105278986A (en) * 2015-09-30 2016-01-27 小米科技有限责任公司 Control method and apparatus of electronic device
CN105306318A (en) * 2015-11-09 2016-02-03 小米科技有限责任公司 Intelligent scene configuration method and device and server
CN106597865A (en) * 2016-12-15 2017-04-26 北京小米移动软件有限公司 Information sharing method and information sharing device
CN108183843A (en) * 2017-12-28 2018-06-19 惠州Tcl家电集团有限公司 Sharing method, server and the computer readable storage medium of intelligent scene pattern
CN108845503A (en) * 2018-08-11 2018-11-20 深圳市百创网络科技有限公司 The providing method and its system of Intelligent household scene service
CN109299384A (en) * 2018-11-02 2019-02-01 北京小米智能科技有限公司 Scene recommended method, apparatus and system, storage medium
CN109725541A (en) * 2018-12-12 2019-05-07 深圳绿米联创科技有限公司 Generation method, device, electronic equipment and the storage medium of automation
CN109683576A (en) * 2019-01-18 2019-04-26 爱图智能(深圳)有限公司 A kind of intelligent home furnishing control method based on artificial intelligence, system and device

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114124692A (en) * 2021-10-29 2022-03-01 青岛海尔科技有限公司 Intelligent device skill access method and device, electronic device and storage medium
CN114124692B (en) * 2021-10-29 2024-03-22 青岛海尔科技有限公司 Intelligent equipment skill access method and device, electronic equipment and storage medium
WO2023221995A1 (en) * 2022-05-19 2023-11-23 华为技术有限公司 Intelligent device control method and electronic device
CN115167161A (en) * 2022-06-27 2022-10-11 青岛海尔科技有限公司 Method and device for determining association relation of lamp, storage medium and electronic device
CN115361247A (en) * 2022-07-05 2022-11-18 芜湖美的厨卫电器制造有限公司 Scene recommendation method and device, storage medium and electronic equipment
CN115361247B (en) * 2022-07-05 2023-12-08 芜湖美的厨卫电器制造有限公司 Scene recommendation method and device, storage medium and electronic equipment

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