CN111464595A - Method and device for configuring personalized scene by cloud - Google Patents
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Abstract
The invention provides a method and a device for configuring an individualized scene by a cloud, which are used for a sound box terminal and a cloud platform and comprise the following steps: based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model; establishing a virtual personalized data space between a sound box terminal and the cloud, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters into the cloud; and the cloud terminal adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal. The invention has the beneficial effects that: by the method, the sound box terminal can select different scenes, and personalized content customization of the cloud platform can be completed according to the different scenes. The sound box terminal can carry out cloud platform expansion on the displayed content.
Description
Technical Field
The invention relates to the technical field of AI (artificial intelligence), in particular to a method and a device for configuring an individualized scene by a cloud.
Background
At present, in the field of AI technology, smart speakers are one of the most widely used fields. Can all carry out intelligent control through intelligent audio amplifier in hotel, intelligent house, intelligent official working and intelligent teaching field, but current intelligent audio amplifier content and AI ability all are controlled terminal APK customization content and audio amplifier hardware storage capacity, can not effectively expand. When the intelligent sound box needs to upgrade the content, the terminal APK needs to be upgraded, and the process is very complex. When the sound box is applied to the fields of hotels, intelligent teaching and the like, the intelligent sound box and a system or a teaching system of the hotels do not establish a binding relationship, and content interaction cannot be achieved.
Disclosure of Invention
The invention provides a method and a device for configuring personalized scenes by a cloud, wherein the contents and AI (Artificial intelligence) capabilities of some intelligent sound boxes are both limited by the contents customized by a terminal APK (android package) and the hardware storage capability of the sound boxes, and cannot be effectively expanded. When the intelligent sound box needs to upgrade the content, the terminal APK needs to be upgraded, and the process is very complex. When the sound box is applied to the fields of hotels, intelligent teaching and the like, the intelligent sound box and a system or a teaching system of the hotels do not establish a binding relationship, and the content interaction cannot be achieved.
A method for configuring personalized scenes by a cloud is used for a sound box terminal and a cloud platform, and is characterized by comprising the following steps:
based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model;
establishing a virtual personalized data space between a sound box terminal and the cloud platform, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters to the cloud platform;
and the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal.
As an embodiment of the present invention: the method for configuring the scene model based on semantic recognition on the cloud platform comprises the following steps:
acquiring scene elements through a cloud platform, and presetting a scene database according to the scene elements; wherein,
the scene element comprises a function element and a type element;
importing a scene dynamic script communicated with the scene database in the cloud platform to generate an initial frame of the scene model;
the initial frame extracts scene elements from a scene database, and builds a scene page and a scene function of the scene model;
the initial frame generates a scene name, a scene function text and a scene page text of the scene model according to the scene page and the scene function;
the initial frame constructs a semantic recognition mechanism according to the scene name, the scene function text and the scene page text;
the cloud platform forms the scene model through the semantic recognition mechanism, the scene page and the scene function.
As an embodiment of the present invention: configuring the customized content of the scene model according to the scene model, comprising:
a function of acquiring the scene model;
building a scene content database at the cloud platform according to the function of the scene model, wherein,
the scene content database comprises an encoding area for storing customized content and a non-encoding area for storing general content;
the coding region corresponds to the scene model through functions, each scene in the scene model has a unique corresponding region in the coding region, and a unique data channel is arranged in the coding region and the unique corresponding region;
the general content is provided with a common channel in the non-coding area and all scenes in the scene model;
the scene content database is also externally connected with a cloud network and is used for optimizing and updating the content stored in the coding region and the content stored in the non-coding region;
the scene model configures customized content according to the encoding regions in the scene content database.
As an embodiment of the present invention: the scene content database is also externally connected with a cloud network, and is used for optimizing and updating the content stored in the coding region and the content stored in the non-coding region, and the method comprises the following steps:
the cloud network extracts customized parameters through the customized content;
the cloud network extracts general parameters through the general content;
the cloud network acquires the updated content related to the customized content in the external network according to the customized parameters;
the cloud network acquires the updated content related to the general content in the external network according to the general parameters;
the cloud network stores the updated content of the customized content in the coding region through data filling, and updates and optimizes the customized content of the coding region;
and the cloud network stores the updated content of the general content in the non-coding region through data filling, and updates and optimizes the general content of the non-coding region.
As an embodiment of the present invention: the method further comprises the following steps:
a background control system of the cloud platform and the sound box terminal is constructed in advance;
constructing a virtual space system of the cloud platform through the background control system, and dividing the virtual space system into a plurality of virtual spaces;
setting a unique identification code of the sound box terminal through the background control system;
and binding the sound box terminal with the virtual space of the cloud platform through the unique identification code, and exchanging data through the virtual space.
As an embodiment of the present invention: when the speaker terminal receives an AI request from a user, generating a spatial parameter according to the virtual personalized data space, including:
the sound box terminal receives voice information of a user and generates an AI request according to the voice information, wherein,
the AI request comprises scene requirement information, content requirement information and function requirement information of a user;
the virtual personalized data space acquires scene space parameters according to the scene demand information;
the virtual personalized data space acquires content space parameters according to the content demand information;
the virtual personalized data space acquires function space parameters according to the function demand information;
and the virtual personalized data space synthesizes the scene space parameters, the content space parameters and the functional space parameters into personalized space parameters.
As an embodiment of the present invention: the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and the method comprises the following steps:
the cloud platform performs text processing on the personalized space parameters to obtain a scene text, a content text and a function text;
the scene model identifies the scene text to acquire personalized scene demand information and acquires a personalized scene according to the personalized scene demand information;
the scene model identifies the content text to acquire personalized content demand information and acquires personalized content according to the personalized content demand information;
the scene model identifies the function text to acquire personalized function demand information and acquires a personalized function according to the personalized function demand information;
and the cloud platform replaces different scenes, different contents and different functions in the personalized data space content according to the personalized scenes, the personalized contents and the personalized functions.
As an embodiment of the present invention: the method for generating personalized space parameters according to the virtual personalized data space further comprises the following steps
Step 1: the virtual personalized data space is segmented by the information content of the scene demand information and is divided into t segments, the overall information parameters of the scene demand information and the preset scene information are determined, and the scene space parameters are calculated according to the overall parameters;
wherein Bf represents the scene space parameter, pf represents the scene demand space size, inyjFor the scene requirement information parameter of section j, onyjPresetting information parameters for the scene of the j section; phi denotes a spatial coefficient; j ═ 1, 2, 3 … … j represents the j-th segment;
step 2: the virtual personalized data space divides the content demand information content into N types, and acquires the data related to the space occupation size of each type to determine the content space parameters;
where Nf is the content space parameter, W is the sum of the space occupied by the content, and ZmIs the size of the occupation space of the m-th type, EmPresetting the content occupation space size for the mth type, wherein m is 1, 2, 3 … … m and represents the mth type;
and step 3: the virtual personalized data space divides the information content of the function requirement into M types, acquires the data related to the space occupation size of each type and determines the parameters of the function space;
wherein Gf is the functional space parameter, Q is the sum of the size of the space that can be occupied by the function, DuFor the size of the functional space occupied by the u-th type of function, FuPresetting the space occupation size for the u-th type of the function, wherein u is 1, 2, 3 … … u and represents the u-th type;
and 4, step 4: the virtual personalized data space obtains the personalized space parameters by summing the scene demand space parameters, the content demand space parameters and the function demand space parameters;
wherein Yf is the personalized space parameter;
and 5: and extracting personalized scenes, personalized contents and personalized functions according to the personalized space parameters, and inputting the personalized scenes, the personalized contents and the personalized functions into the personalized data space to replace the original contents of the personalized data space.
An apparatus for configuring a personalized scene at a cloud, comprising:
a first processing module: based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model;
a second processing module: establishing a virtual personalized data space between a sound box terminal and the cloud platform, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters to the cloud platform;
a pushing module: and the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal.
As an embodiment of the present invention: the first processing module comprises:
a first processing unit: the system comprises a cloud platform, a scene database and a cloud server, wherein the cloud platform is used for acquiring scene elements and presetting the scene database according to the scene elements; wherein,
the scene element comprises a function element and a type element;
a second processing unit: the scene dynamic script communicated with the scene database is imported into the cloud platform, and an initial framework of the scene model is generated;
a third processing unit: the scene database is used for extracting scene elements from the scene database and building a scene page and a scene function of the scene;
a fourth processing unit: the scene page and the scene function are used for generating a scene name, a scene function text and a scene page text of the scene model;
a fifth processing unit: the semantic recognition mechanism is constructed according to the scene name, the scene function text and the scene page text;
a sixth processing unit: the method is used for forming the scene model on the cloud platform through the semantic recognition mechanism, the scene page and the scene function
The invention has the beneficial effects that: by the method, the sound box terminal can select different scenes, and personalized content customization of the cloud platform can be completed according to the different scenes. The sound box terminal can carry out cloud platform expansion with the content that shows to provide massive data and supply the terminal to use, sound box terminal content is provided by the cloud platform, and upgrading content only needs the cloud adjustment synchronous can be accomplished, does not need to upgrade APK, and sound box terminal can detect hotel user's change, the automatic default configuration that restores. The sound box terminal and the background system establish a binding relationship and can perform content interaction with the background system.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
fig. 1 is a flowchart illustrating a method for configuring a personalized scene in a cloud according to an embodiment of the present invention;
fig. 2 is a device structure diagram of a device for configuring a personalized scene in a cloud in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention is applied to the fields of hotels, smart homes and intelligent control platforms. The method is used for dynamically customizing the UI interface of the sound box, configuring the home page background picture and the related content display page and style, configuring the supported customer service and AI interaction field capacity, and no longer needing to customize and develop the corresponding APK installation package according to a specific environment.
As shown in fig. 1, a flowchart of a method for configuring a personalized scene in a cloud terminal according to an embodiment of the present invention is used for a speaker terminal and a cloud platform, and includes:
step 100: based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model;
step 101: establishing a virtual personalized data space between a sound box terminal and the cloud platform, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters to the cloud platform;
step 102: and the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal.
The principle of the invention is as follows: the intelligent principle of hardware composition is established by the cloud platform and the loudspeaker box terminal. According to the method, a scene model is firstly established on a cloud platform, scene change is carried out through semantic recognition, and contents required by a client in a scene can be customized through the scene model. The virtual personalized data space is constructed between the sound box terminal and the cloud platform, so that data exchange between the sound box terminal and the cloud platform is realized, and personalized space parameters are generated by the sound box terminal through the virtual personalized data space when the sound box terminal receives an AI request of a user. And finally, the cloud platform pushes the content of the personalized data space to the sound box terminal through the personalized space parameters and the corresponding scene model.
The invention has the beneficial effects that: according to the method, the cloud platform can be controlled to change different scenes through the loudspeaker box terminal, and personalized content customization of the cloud platform can be completed according to the different scenes. The sound box terminal is a sound box terminal with an AI function, man-machine interaction between the sound box terminal and a user can be realized, displayed contents can be expanded through the sound box terminal, the cloud platform is connected with a cloud network to expand the contents, mass data is provided for the sound box terminal to use, the contents of the sound box terminal are provided by the cloud platform, when the contents need to be upgraded, the user only needs to synchronously adjust the displayed contents of the sound box terminal through the AI function of the sound box terminal by the cloud user, APK of the sound box terminal does not need to be upgraded as in the prior art, the sound box terminal can detect user change, and default configuration is automatically restored. The sound box terminal and a background system for controlling the sound box terminal establish a binding relationship, perform content interaction with the background system, and control scene personalized configuration of the plurality of sound box terminals through the background system.
As an embodiment of the present invention: the method for configuring the scene model based on semantic recognition on the cloud platform comprises the following steps:
acquiring scene elements through a cloud platform, and presetting a scene database according to the scene elements; wherein,
the scene element comprises a function element and a type element;
importing a scene dynamic script communicated with the scene database in the cloud platform to generate an initial frame of the scene model;
the initial frame extracts scene elements from a scene database, and builds a scene page and a scene function of the scene model;
the initial frame generates a scene name, a scene function text and a scene page text of the scene model according to the scene page and the scene function;
the initial frame constructs a semantic recognition mechanism according to the scene name, the scene function text and the scene page text;
the cloud platform forms the scene model through the semantic recognition mechanism, the scene page and the scene function.
The principle of the invention is as follows: when the scene model is established, a scene database needs to be established, and scene data is extracted from the scene database to establish the scene model. The scenes contained in the scene database are, for example: in the style scene of a hotel, the style scene of various families in the intelligent field of the house, in various public service scenes of controlling a public service field through an intelligent AI sound box, introducing a scene dynamic script into a cloud platform to generate an initial frame of a scene model, extracting scene elements in a scene database through the initial frame, and building a preset scene; the initial frame generates a scene name, a scene function text and a scene text content of the scene model according to the scene page and the scene function, the initial frame can be controlled to be built through the sound box, and the semantic recognition mechanism can recognize the scene through the scene name, the scene function text and the scene text content to extract the scene in the scene model.
The invention has the beneficial effects that: the scene model is established according to the scene database, the scene model is provided with scene elements in the scene database, so that the scene database can be updated, and the scene framework is generated by the scene dynamic script, so that the scene database is updated by replacing and updating the scene model through the scene dynamic script. And the semantic recognition mechanism can realize the replacement and the update of the user application scene by replacing and updating the scene model.
As an embodiment of the present invention: configuring the customized content of the scene model according to the scene model, comprising:
a function of acquiring the scene model;
building a scene content database at the cloud platform according to the function of the scene model, wherein,
the scene content database comprises an encoding area for storing customized content and a non-encoding area for storing general content;
the coding region corresponds to the scene model through functions, each scene in the scene model has a unique corresponding region in the coding region, and a unique data channel is arranged in the coding region and the unique corresponding region;
the general content is provided with a common channel in the non-coding area and all scenes in the scene model;
the scene content database is also externally connected with a cloud network and is used for optimizing and updating the content stored in the coding region and the content stored in the non-coding region;
the scene model configures customized content according to the encoding regions in the scene content database.
The principle of the invention is as follows: according to the invention, the personalized data configuration is carried out on various scenes in the scene model, so that the user can select the personalized scenes. In the embodiment, the functions of the scenes comprise controlling other intelligent furniture and the like, when the functions are playing videos, music and electronic books, the scene content database needs to be established for playing the videos, the music and the electronic books, and in the scene content database, a coding region for storing customized contents can be established in the scene content database according to different scenes; for functions common to different scenes, a non-encoded region storing general content may be constructed in a scene content database. And the scenes correspond to the coding regions one by one, so that the personalized content configuration of the personalized scenes is realized. And finally, updating and optimizing data of the coding region and the non-coding region through a cloud network.
The invention has the beneficial effects that: different personalized contents are configured in different scenes through different personalized scenes by the established scene content database, so that the AI customized configuration function of the invention is realized. The coded regions can realize content differentiation of personalized scenes and update optimization of the personalized contents, and the non-coded regions realize update optimization of common contents of the scenes.
As an embodiment of the present invention: the scene content database is also externally connected with a cloud network, and is used for optimizing and updating the content stored in the coding region and the content stored in the non-coding region, and the method comprises the following steps:
the cloud network extracts customized parameters through the customized content;
the cloud network extracts general parameters through the general content;
the cloud network acquires the updated content related to the customized content in the external network according to the customized parameters;
the cloud network acquires the updated content related to the general content in the external network according to the general parameters;
the cloud network stores the updated content of the customized content in the coding region through data filling, and updates and optimizes the customized content of the coding region;
and the cloud network stores the updated content of the general content in the non-coding region through data filling, and updates and optimizes the general content of the non-coding region.
The principle of the invention is as follows: the scene content database is externally connected with the cloud network to update the scene content in the scene content database, and in the updating process, because the scene content database comprises customized content and common general content, when the updated content is acquired through the cloud network, the content updating optimization in the scene content database needs to judge whether the updated content is the customized content or the general content according to the customized parameters and the general parameters of different scenes through the parameters, so that the scene content data is filled.
The invention has the beneficial effects that: the invention introduces the updating optimization mode of the scene content data in detail, can realize the distinguishing and distinguishing of the customized content parameters and the general parameters when the updating content is obtained, and divides the updating content into the customized content and the general content for data filling.
As an embodiment of the present invention, the method further comprises:
a background control system of the cloud platform and the sound box terminal is constructed in advance;
constructing a virtual space system of the cloud platform through the background control system, and dividing the virtual space system into a plurality of virtual spaces;
setting a unique identification code of the sound box terminal through the background control system;
and binding the sound box terminal with the virtual space of the cloud platform through the unique identification code, and exchanging data through the virtual space.
The principle of the invention is as follows: the method comprises the steps of establishing a background control system, wherein the background control system is used for controlling a cloud platform and a sound box terminal, establishing a space system for respectively exchanging a large amount of data through establishing a virtual space system, dividing the virtual space system into a plurality of virtual spaces, exchanging different personalized contents in different virtual spaces, and connecting different virtual spaces with different sound box terminals, so that the background control system is connected with the sound box terminal and the cloud platform.
The invention has the beneficial effects that: by arranging the background control system, in one embodiment, the background control system can be a hotel control system, a public service control system or an intelligent home control system, and the like, and the background system is connected with the sound box terminals and the cloud platform, so that unified control over a plurality of sound boxes in a hotel, a public service place and an intelligent home environment can be realized, and background adjustment of each sound box terminal to change an individualized scene is realized.
As an embodiment of the present invention: when the speaker terminal receives an AI request from a user, generating a spatial parameter according to the virtual personalized data space, including:
the sound box terminal receives voice information of a user and generates an AI request according to the voice information, wherein,
the AI request comprises scene requirement information, content requirement information and function requirement information of a user;
the virtual personalized data space acquires scene space parameters according to the scene demand information;
the virtual personalized data space acquires content space parameters according to the content demand information;
the virtual personalized data space acquires function space parameters according to the function demand information;
and the virtual personalized data space synthesizes the scene space parameters, the content space parameters and the functional space parameters into personalized space parameters.
The principle of the invention is as follows: the sound box terminal has a voice conversion function, extracts information of the voice of a client according to the voice of the client so as to convert the voice into an AIII request, and converts scene demand information, content demand information and function demand information in the AI request into corresponding scene space parameters, content space parameters and function space parameters through a virtual personalized data space when the cloud platform receives the AI request; and synthesizing the personalized space parameters required by the customer through various space parameters.
The invention has the beneficial effects that: according to the invention, when a user carries out personalized setting through the sound box terminal, the sound box terminal can understand the voice of the user through an AI technology and convert the voice into an AI request, and the virtual personalized data space of the cloud platform enables the client to have unique and determined personalized space parameters required by the client according to the form of converting the AI request into the space parameters, and the scene, the function and the content are called and pushed to the sound box terminal according to the personalized space parameters required by the client.
As an embodiment of the present invention: the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and the method comprises the following steps:
the cloud end carries out text processing on the personalized space parameters to obtain a scene text, a content text and a function text;
the scene model identifies the scene text to acquire personalized scene demand information and acquires a personalized scene according to the personalized scene demand information;
the scene model identifies the content text to acquire personalized content demand information and acquires personalized content according to the personalized content demand information;
the scene model identifies the function text to acquire personalized function demand information and acquires a personalized function according to the personalized function demand information;
and the cloud replaces different scenes, different contents and different functions in the personalized data space content according to the personalized scenes, the personalized contents and the personalized functions.
The principle of the invention is as follows: the cloud platform performs text processing on the personalized space parameters to generate a scene text, a content text and a function text, so that the cloud platform can extract key information conveniently, the scene model identifies the personalized scene, the personalized function and the personalized content required by a user according to the semantics of the key information, and then the personalized scene, the personalized function and the personalized content are integrated to generate the personalized scene and the content required by the user and displayed in the sound box terminal.
The invention has the beneficial effects that: the cloud platform can call the individual scene content required by the user through a textualization mode and a semantic recognition mechanism. Therefore, scenes and functions required by a user can be customized and configured through AI.
As an embodiment of the present invention: the method for generating personalized space parameters according to the virtual personalized data space further comprises the following steps
Step 1: the virtual personalized data space is segmented by the information content of the scene demand information and is divided into t segments, the overall information parameters of the scene demand information and the preset scene information are determined, and the scene space parameters are calculated according to the overall parameters;
wherein Bf represents the scene space parameter, pf represents the scene demand space size, inyjFor the scene requirement information parameter of section j, onyjPresetting information parameters for the scene of the j section; phi denotes a spatial coefficient; j ═ 1, 2, 3 … … j represents the j-th segment;
step 2: the virtual personalized data space divides the content demand information content into N types, and acquires the data related to the space occupation size of each type to determine the content space parameters;
where Nf is the content space parameter, W is the sum of the space occupied by the content, and ZmIs the size of the occupation space of the m-th type, EmPresetting the content occupation space size for the mth type, wherein m is 1, 2, 3 … … m and represents the mth type;
and step 3: the virtual personalized data space divides the information content of the function requirement into M types, acquires the data related to the space occupation size of each type and determines the parameters of the function space;
wherein Gf is the functional space parameter, Q is the sum of the size of the space that can be occupied by the function, DuDo workSize of functional space occupied by the u-th type of energy, FuPresetting the space occupation size for the u-th type of the function, wherein u is 1, 2, 3 … … u and represents the u-th type;
and 4, step 4: the virtual personalized data space obtains the personalized space parameters by summing the scene demand space parameters, the content demand space parameters and the function demand space parameters;
wherein Yf is the personalized space parameter;
and 5: and extracting personalized scenes, personalized contents and personalized functions according to the personalized space parameters, and inputting the personalized scenes, the personalized contents and the personalized functions into the personalized data space to replace the original contents of the personalized data space.
The method comprises the steps of 1, acquiring scene space parameters according to scene demand information; acquiring content space parameters according to the content demand information through the step 2; acquiring a function space parameter according to the function requirement information through the step 3; the virtual personalized data space extracts scenes, scene contents and scene functions in a scene database and a scene content database according to the scene model through the scene space parameters, the content space parameters and the function space parameters, and replaces the extracted scenes, the extracted scene contents and the extracted scene functions with the contents in the virtual personalized data space to form a new virtual personalized data space capable of being configured in a customized manner.
An apparatus for configuring personalized scenes in a cloud, as shown in fig. 2, includes:
a first processing module: based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model;
a second processing module: establishing a virtual personalized data space between a sound box terminal and the cloud platform, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters to the cloud platform;
a pushing module: and the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal.
The principle of the invention is as follows: the intelligent principle of hardware composition is established by the cloud platform and the loudspeaker box terminal. According to the method, a scene model is firstly established on a cloud platform, scene change is carried out through semantic recognition, and contents required by a client in a scene can be customized through the scene model. The virtual personalized data space is constructed between the sound box terminal and the cloud platform, so that data exchange between the sound box terminal and the cloud platform is realized, and personalized space parameters are generated by the sound box terminal through the virtual personalized data space when the sound box terminal receives an AI request of a user. And finally, the cloud platform pushes the content of the personalized data space to the sound box terminal through the personalized space parameters and the corresponding scene model.
The invention has the beneficial effects that: according to the method, the cloud platform can be controlled to change different scenes through the loudspeaker box terminal, and personalized content customization of the cloud platform can be completed according to the different scenes. The sound box terminal is a sound box terminal with an AI function, man-machine interaction between the sound box terminal and a user can be realized, displayed contents can be expanded through the sound box terminal, the cloud platform is connected with a cloud network to expand the contents, mass data is provided for the sound box terminal to use, the contents of the sound box terminal are provided by the cloud platform, when the contents need to be upgraded, the user only needs to synchronously adjust the displayed contents of the sound box terminal through the AI function of the sound box terminal by the cloud user, APK of the sound box terminal does not need to be upgraded as in the prior art, the sound box terminal can detect user change, and default configuration is automatically restored. The sound box terminal and a background system for controlling the sound box terminal establish a binding relationship, perform content interaction with the background system, and control scene personalized configuration of the plurality of sound box terminals through the background system.
As an embodiment of the present invention, the first processing module includes:
a first processing unit: the system comprises a cloud platform, a scene database and a cloud server, wherein the cloud platform is used for acquiring scene elements and presetting the scene database according to the scene elements; wherein,
the scene element comprises a function element and a type element;
a second processing unit: the scene dynamic script communicated with the scene database is imported into the cloud platform, and an initial framework of the scene model is generated;
a third processing unit: the scene database is used for extracting scene elements from the scene database and building a scene page and a scene function of the scene;
a fourth processing unit: the scene page and the scene function are used for generating a scene name, a scene function text and a scene page text of the scene model;
a fifth processing unit: the semantic recognition mechanism is constructed according to the scene name, the scene function text and the scene page text;
a sixth processing unit: the system is used for forming the scene model on the cloud platform through the semantic recognition mechanism, the scene page and the scene function.
The principle of the invention is as follows: when the scene model is established, a scene database needs to be established, and scene data is extracted from the scene database to establish the scene model. The scenes contained in the scene database are, for example: in the style scene of a hotel, the style scene of various families in the intelligent field of the house, in various public service scenes of controlling a public service field through an intelligent AI sound box, introducing a scene dynamic script into a cloud platform to generate an initial frame of a scene model, extracting scene elements in a scene database through the initial frame, and building a preset scene; the initial frame generates a scene name, a scene function text and a scene text content of the scene model according to the scene page and the scene function, the initial frame can be controlled to be built through the sound box, and the semantic recognition mechanism can recognize the scene through the scene name, the scene function text and the scene text content to extract the scene in the scene model.
The invention has the beneficial effects that: the scene model is established according to the scene database, the scene model is provided with scene elements in the scene database, so that the scene database can be updated, and the scene framework is generated by the scene dynamic script, so that the scene database is updated by replacing and updating the scene model through the scene dynamic script. And the semantic recognition mechanism can realize the replacement and the update of the user application scene by replacing and updating the scene model.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for configuring personalized scenes by a cloud is used for a sound box terminal and a cloud platform, and is characterized by comprising the following steps:
based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model;
establishing a virtual personalized data space between a sound box terminal and the cloud platform, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters to the cloud platform;
and the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal.
2. The method of claim 1, wherein the configuring of the scene model based on semantic recognition on the cloud platform comprises:
acquiring scene elements through a cloud platform, and presetting a scene database according to the scene elements; wherein,
the scene element comprises a function element and a type element;
importing a scene dynamic script communicated with the scene database in the cloud platform to generate an initial frame of the scene model;
the initial frame extracts scene elements from a scene database, and builds a scene page and a scene function of the scene model;
the initial frame generates a scene name, a scene function text and a scene page text of the scene model according to the scene page and the scene function;
the initial frame constructs a semantic recognition mechanism according to the scene name, the scene function text and the scene page text;
the cloud platform forms the scene model through the semantic recognition mechanism, the scene page and the scene function.
3. The method of claim 1, wherein configuring customized content of the scene model according to the scene model comprises:
a function of acquiring the scene model;
building a scene content database at the cloud platform according to the function of the scene model, wherein,
the scene content database comprises an encoding area for storing customized content and a non-encoding area for storing general content;
the coding region corresponds to the scene model through functions, each scene in the scene model has a unique corresponding region in the coding region, and a unique data channel is arranged in the coding region and the unique corresponding region;
the general content is provided with a common channel in the non-coding area and all scenes in the scene model;
the scene content database is also externally connected with a cloud network and is used for optimizing and updating the content stored in the coding region and the content stored in the non-coding region;
the scene model configures customized content according to the encoding regions in the scene content database.
4. The method for cloud configuration of personalized scenes according to claim 3, wherein the scene content database further connects with an external cloud network, and the optimization and update of the content stored in the encoded region and the content stored in the non-encoded region comprises:
the cloud network extracts customized parameters through the customized content;
the cloud network extracts general parameters through the general content;
the cloud network acquires the updated content related to the customized content in the external network according to the customized parameters;
the cloud network acquires the updated content related to the general content in the external network according to the general parameters;
and the cloud network stores the updated content of the general content in the non-coding region through data filling, and updates and optimizes the general content of the non-coding region.
5. The method for cloud configuring personalized scenes of claim 1, wherein the method further comprises:
a background control system of the cloud platform and the sound box terminal is constructed in advance;
constructing a virtual space system of the cloud platform through the background control system, and dividing the virtual space system into a plurality of virtual spaces;
setting a unique identification code of the sound box terminal through the background control system;
and binding the sound box terminal with the virtual space of the cloud platform through the unique identification code, and exchanging data through the virtual space.
6. The method for cloud configuration of personalized scenes according to claim 1, wherein the generating of personalized space parameters according to the virtual personalized data space when the speaker terminal receives an AI request from a user comprises:
the sound box terminal receives voice information of a user and generates an AI request according to the voice information, wherein,
the AI request comprises scene requirement information, content requirement information and function requirement information of a user;
the virtual personalized data space acquires scene space parameters according to the scene demand information;
the virtual personalized data space acquires content space parameters according to the content demand information;
the virtual personalized data space acquires function space parameters according to the function demand information;
and the virtual personalized data space synthesizes the scene space parameters, the content space parameters and the functional space parameters into personalized space parameters.
7. The method for cloud configuration of personalized scenes according to claim 1, wherein the cloud platform adjusts the content of the personalized data space in the speaker terminal according to the personalized space parameters and the scene model, and the method comprises:
the cloud platform performs text processing on the personalized space parameters to obtain a scene text, a content text and a function text;
the scene model identifies the scene text to acquire personalized scene demand information and acquires a personalized scene according to the personalized scene demand information;
the scene model identifies the content text to acquire personalized content demand information and acquires personalized content according to the personalized content demand information;
the scene model identifies the function text to acquire personalized function demand information and acquires a personalized function according to the personalized function demand information;
and the cloud platform replaces different scenes, different contents and different functions in the personalized data space content according to the personalized scenes, the personalized contents and the personalized functions.
8. The method of claim 1, wherein the generating personalized space parameters according to the virtual personalized data space further comprises the following steps
Step 1: the virtual personalized data space is segmented by the information content of the scene demand information and is divided into t segments, the overall information parameters of the scene demand information and the preset scene information are determined, and the scene space parameters are calculated according to the overall parameters;
wherein Bf represents the scene space parameter, pf represents the scene demand space size, inyjFor the scene requirement information parameter of section j, onyjPresetting information parameters for the scene of the j section; phi denotes a spatial coefficient; j ═ 1, 2, 3 … … j represents the j-th segment;
step 2: the virtual personalized data space divides the content demand information content into N types, and acquires the data related to the space occupation size of each type to determine the content space parameters;
where Nf is the content space parameter, W is the sum of the space occupied by the content, and ZmIs the size of the occupation space of the m-th type, EmPresetting the content occupation space size for the mth type, wherein m is 1, 2, 3 … … m and represents the mth type;
and step 3: the virtual personalized data space divides the information content of the function requirement into M types, acquires the data related to the space occupation size of each type and determines the parameters of the function space;
wherein Gf is the functional space parameter, Q is the sum of the size of the space that can be occupied by the function, DuFor the size of the functional space occupied by the u-th type of function, FuPresetting the space occupation size for the u-th type of the function, wherein u is 1, 2, 3 … … u and represents the u-th type;
and 4, step 4: the virtual personalized data space obtains the personalized space parameters by summing the scene demand space parameters, the content demand space parameters and the function demand space parameters;
wherein Yf is the personalized space parameter;
and 5: and extracting personalized scenes, personalized contents and personalized functions according to the personalized space parameters, and inputting the personalized scenes, the personalized contents and the personalized functions into the personalized data space to replace the original contents of the personalized data space.
9. An apparatus for configuring a personalized scene at a cloud, comprising:
a first processing module: based on semantic recognition, configuring a scene model on a cloud platform and configuring customized content of the scene model according to the scene model;
a second processing module: establishing a virtual personalized data space between a sound box terminal and the cloud platform, generating personalized space parameters according to the virtual personalized data space when the sound box terminal receives an AI (artificial intelligence) request of a user, and transmitting the personalized space parameters to the cloud platform;
a pushing module: and the cloud platform adjusts the content of the personalized data space in the sound box terminal according to the personalized space parameters and the scene model, and pushes the adjusted content to the sound box terminal.
10. The cloud configuration personalized scene device of claim 9, wherein the first processing module comprises:
a first processing unit: the system comprises a cloud platform, a scene database and a cloud server, wherein the cloud platform is used for acquiring scene elements and presetting the scene database according to the scene elements; wherein,
the scene element comprises a function element and a type element;
a second processing unit: the scene dynamic script communicated with the scene database is imported into the cloud platform, and an initial framework of the scene model is generated;
a third processing unit: the scene database is used for extracting scene elements from the scene database and building a scene page and a scene function of the scene;
a fourth processing unit: the scene page and the scene function are used for generating a scene name, a scene function text and a scene page text of the scene model;
a fifth processing unit: the semantic recognition mechanism is constructed according to the scene name, the scene function text and the scene page text;
a sixth processing unit: the system is used for forming the scene model on the cloud platform through the semantic recognition mechanism, the scene page and the scene function.
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