Strategy generation method and system for intelligent perception service, and intelligent device

Abstract

The invention discloses a strategy generation method and system for an intelligent perception service and intelligent equipment. The method comprises the following steps: constructing intelligent perception capability and intelligent agent service of the intelligent equipment; a user perception feature library is constructed according to the intelligent perception ability, and the user perception feature library has user attributes; obtaining perception information of a user according to the user perception feature library; and generating a service response strategy according to the perception information and the agent service, so as to control the intelligent equipment according to the service response strategy. According to the invention, reasoning is carried out through the constructed user perception database and the collected user perception information so as to formulate the corresponding service response strategy, so that the user demand and preference are accurately understood, the intelligent perception ability for the user is improved, and personalized intelligent services are provided.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent perception services, and in particular to a strategy generation method, system and intelligent device for intelligent perception services. Background Art

[0002] With the development of science and technology, especially the rapid progress of AI technology in recent years, the AI ​​big model is expected to bring a series of improvements to traditional smart products in terms of functions, experience, service quality, etc. As AI big models are popularized, traditional smart TVs can provide users with basic voice interaction and voice control, and provide AI voice assistant capabilities such as question query and knowledge encyclopedia. With the support of AI big models, through the reasoning and content generation of AI big models, the previous dull interaction experience of AI voice assistants has been greatly improved.

[0003] The AI ​​voice assistant supported by the current AI big model, because the training data of the AI ​​big model is general data, it does not have the user's usage environment elements, nor can it perceive the user's usage environment and the data of the user's daily interaction scenarios for support. Therefore, although the AI ​​voice assistant has improved its intelligence, it is still not considerate enough, does not know how to listen to users, and cannot provide intelligent services centered on user perception.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of this application is to provide a strategy generation method, system and intelligent device for intelligent perception services, aiming to solve the problem in the prior art that the AI ​​large model trained by intelligent devices using general data does not have the user's usage environment elements, resulting in poor intelligent perception of the user.

[0006] A first aspect of an embodiment of the present application provides a policy generation method for an intelligent perception service, the policy generation method for an intelligent perception service comprising the following steps: constructing intelligent perception capabilities and intelligent agent services of an intelligent device; constructing a user perception feature library based on the intelligent perception capabilities, wherein the user perception feature library has user attributes; acquiring user perception information based on the user perception feature library; generating a service response strategy based on the perception information and the intelligent agent service to control the intelligent device according to the service response strategy.

[0007] In a possible implementation, the constructing of the intelligent perception capability and intelligent agent service of the intelligent device specifically includes: acquiring perception parameters of the intelligent device; and constructing the intelligent agent service and intelligent perception capability of the intelligent device according to the perception parameters.

[0008] In a possible implementation, the constructing of the intelligent perception capability and intelligent agent service of the intelligent device further includes: when the perception parameters are updated, dynamically constructing the intelligent agent service and intelligent perception capability of the intelligent device according to the updated perception parameters.

[0009] In a possible implementation, constructing a user perception feature library based on the intelligent perception capability specifically includes: acquiring user data, and distinguishing user attributes based on the user data to obtain identification data; if the intelligent device has the ability to represent user attributes, generating a user perception feature library corresponding to the user attributes based on the identification data.

[0010] In a possible implementation, the user perception feature library includes sound information, image information, environmental information, application usage information, and service preference information perceived by the smart device.

[0011] In a possible implementation, the perception information is user perception data; and obtaining the user's perception information according to the user perception feature library specifically includes: determining perception accuracy and information collection dimensions according to the user perception feature library; and performing information collection processing according to the perception accuracy and the information collection dimensions to obtain user perception data.

[0012] In a possible implementation, generating a service response strategy based on the perception information and the intelligent agent service specifically includes: determining the type of intelligent agent service in the user's current intelligent perception scenario based on the user perception data and the intelligent agent service; and generating a service response strategy based on the intelligent agent service type.

[0013] The second aspect of the embodiment of the present application further provides a policy generation system for intelligent perception services, wherein the policy generation system for intelligent perception services includes:

[0014] Capability and service building modules are used to build intelligent perception capabilities and intelligent agent services for intelligent devices;

[0015] A feature library construction module, used to construct a user perception feature library according to the intelligent perception capability, wherein the user perception feature library has user attributes;

[0016] A perception information acquisition module, used to acquire the user's perception information according to the user perception feature library;

[0017] A policy response module is used to generate a service response policy based on the perception information and the intelligent agent service, so as to control the intelligent device according to the service response policy.

[0018] The third aspect of an embodiment of the present application also provides an intelligent device, wherein the intelligent device includes: a memory, a processor, and a policy generation program for an intelligent perception service stored in the memory and executable on the processor, wherein the policy generation program for the intelligent perception service implements the steps of the policy generation method for the intelligent perception service as described above when executed by the processor.

[0019] The fourth aspect of the embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a policy generation program for intelligent perception services, and when the policy generation program for intelligent perception services is executed by a processor, the steps of the policy generation method for intelligent perception services as described above are implemented.

[0020] Beneficial effects: This application provides a strategy generation method, system and intelligent device for intelligent perception services. Through the constructed user perception database and the collected user perception information, reasoning is performed to formulate corresponding service response strategies, so as to accurately understand user needs and preferences, improve the intelligent perception ability of users, and provide personalized intelligent services. This application can provide users with a more intimate and listenable intelligent perception service through scene analysis, information construction and service response of the intelligent perception large model based on the user's usage environment, device AI capabilities, user interaction and other influencing factors. This intelligent perception service greatly improves the AI ​​service response experience of existing smart devices, makes the user's intelligent experience more perceptual, and enhances the user's sense of happiness in interacting with smart devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a flow chart of a preferred embodiment of the strategy generation method of the intelligent perception service of the present application;

[0023] Figure 2 It is a schematic diagram of the intelligent perception service in a preferred embodiment of the strategy generation method of the intelligent perception service of the present application;

[0024] Figure 3 It is a schematic diagram of the intelligent perception workflow in a preferred embodiment of the strategy generation method for the intelligent perception service of the present application;

[0025] Figure 4 It is a structural diagram of a preferred embodiment of the strategy generation system for the intelligent perception service of the present application;

[0026] Figure 5 This is a structural diagram of a preferred embodiment of the smart device of the present application.

[0027] Description of reference numerals:

[0028] 100. Capability and service building module; 200. Feature library building module; 300. Perception information acquisition module; 400. Policy response module. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical scheme and effect of the present application clearer and more specific, the technical scheme in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. The described embodiments are only possible technical implementations of the present application, not all possible implementations. Based on the embodiments in the present application, those skilled in the art can completely combine the embodiments of the present application to obtain other embodiments without creative work, and these embodiments are also within the scope of protection of the present application.

[0030] In related technologies, with the improvement of the software and hardware capabilities of smart TVs, especially the upgrade of hardware with perception capabilities, current users are in urgent need of a product that is based on intelligent perception scenarios, can "listen" to users, and provide users with a better quality intelligent service experience with personalized characteristics. Therefore, the current AI large model intelligent service technology (such as AI voice assistants) needs to be improved.

[0031] The following describes the strategy generation method, system and intelligent device for the intelligent perception service of the embodiment of the present application with reference to the accompanying drawings. In view of the problem that the AI ​​big model trained by the intelligent device using general data in the above-mentioned related technology does not have the user's usage environment elements, resulting in poor intelligent perception of the user, the present application provides a strategy generation method for intelligent perception service. In this method, through the constructed user perception database and the collected user perception information, reasoning is performed to formulate corresponding service response strategies, so as to accurately understand user needs and preferences, improve the intelligent perception of users, and provide personalized intelligent services. Thus, the technical problem that the AI ​​big model trained by the intelligent device using general data in the related technology does not have the user's usage environment elements, resulting in poor intelligent perception of users, is solved.

[0032] The intelligent perception big model of the present application collects the user's environmental information, scene information, interaction information, etc. (perception information collection dimension) based on the TV's voice, image, millimeter wave and other hardware facilities with information perception capabilities, and constructs perception service information for the above information through the perception big model, and constructs a perception feature library with user attributes (user perception feature library, used for information collection, identification, analysis, and reasoning of user attributes to provide users with intelligent perception services of personal attributes, which belongs to the big model application based on personal attribute perception).

[0033] The specific process is as follows: During the construction phase of the user perception feature library, the intelligent perception service obtains the intelligent perception capabilities of the intelligent devices (such as TVs) through the system perception parameters of the intelligent devices (such as hardware configuration, system and application, AI capability parameters, etc.), confirms the service type and quantity of the intelligent agent services of the current intelligent devices (constructs intelligent agent services), and constructs an intelligent perception information collection model that matches the intelligent perception features; the intelligent perception information collection model collects user perception information in real time through the perception information collection dimension (this dimension is constructed through intelligent perception parameters) and the intelligent perception big model (such as user information, environmental information, scene information, interaction information and other dimensions for data collection, mainly depending on what kind of intelligent perception data the intelligent agent service needs), and the collected data is used to construct user perception information through the perception big model (using A user perception feature library is constructed based on the type of intelligent agent services that can be provided by the intelligent perception service (the service type is used to confirm what kind of intelligent perception service is provided, which service or application is used to provide it, when it is provided, in what scenario it is provided, who the service object is, etc.) (through this feature library, the collected user perception information is confirmed, the scope of the intelligent perception large model reasoning is clarified (reasoning within the scope of the intelligent agent service), and it is confirmed to which intelligent agent the result of the reasoning will be sent to respond); after receiving the reasoning result of the intelligent perception service, the intelligent agent sends the reasoning conclusion to the corresponding intelligent agent according to the intelligent agent service type, and returns the execution instruction of the intelligent agent, constructs the service scenario corresponding to the intelligent agent execution instruction (calls the corresponding system, service, application in the instruction) to provide intelligent perception services to users.

[0034] This application is based on user perception data, collects and analyzes perception data through AI big models, builds a user perception feature library, and then uses the AI ​​big model as a basis for user scene perception, recognition, reasoning, and providing personalized scene applications with "listening" functions.

[0035] The technical solution of the present application is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0036] The strategy generation method of the intelligent perception service described in the preferred embodiment of the present application is as follows: Figure 1 As shown, the strategy generation method of the intelligent perception service includes the following steps:

[0037] In step S101, the intelligent perception capability and intelligent agent service of the intelligent device are constructed.

[0038] In a possible implementation, perception parameters of a smart device are obtained; and based on the perception parameters, intelligent agent services and intelligent perception capabilities of the smart device are constructed.

[0039] Specifically, when a smart device (such as a TV) is turned on, the smart perception service is started; the smart perception service obtains and analyzes the system perception parameters of the smart device, which include hardware configuration, system configuration, application information, AI capabilities, etc. The smart perception service determines the smart perception capability of the smart device based on the system perception parameters, that is, what smart perception data can be collected; the smart perception capability determines the data dimension and accuracy that can be collected by the smart perception large model.

[0040] Further, if Figure 2 As shown, read system information, including hardware configuration (such as far-field voice module, camera module, etc.); read application information, including installed applications and their versions (such as a certain player video, sports health, etc.); read AI information, including available AI services and their capabilities (such as AI voice, voiceprint recognition, etc.); integrate this information into system perception parameters for use in subsequent steps.

[0041] Furthermore, based on the system perception parameters, the types of intelligent agent services that can be provided (such as intelligent chatting, intelligent companionship, etc.) are determined; users can choose to subscribe to or turn off specific intelligent agent services; if the user allows the recommendation of new intelligent agent services, new services are dynamically generated based on the update of system perception parameters; each time the device is turned on, it is checked whether the application information and AI information are updated, and the intelligent agent services are adjusted according to the update.

[0042] Furthermore, based on the system perception parameters, determine the intelligent perception capabilities of the device (such as voice acquisition, image acquisition, etc.); determine which intelligent perception data can be collected by the intelligent perception large model, and build perception information services; determine which intelligent agents can respond to intelligent perception services.

[0043] In a possible implementation, when the perception parameters are updated, the intelligent agent service and intelligent perception capability of the intelligent device are dynamically constructed according to the updated perception parameters.

[0044] Specifically, based on the system perception parameters, the intelligent perception service builds a list of intelligent agent services that the current intelligent device can provide; users can subscribe to or turn off these intelligent agent services, and the intelligent agent services will be dynamically generated and updated according to the user's settings.

[0045] Furthermore, based on the comprehensive capabilities of system information, application information and AI information, the intelligent perception big model is used to infer the intelligent perception services that can be provided; if the necessary response environment (such as a camera) is missing, the relevant intelligent agent services will not be built.

[0046] In step S102, a user perception feature library is constructed according to the intelligent perception capability, wherein the user perception feature library has user attributes.

[0047] In a possible implementation, user data is obtained, and user attributes are distinguished according to the user data to obtain identification data; if the smart device has the ability to represent user attributes, a user perception feature library corresponding to the user attributes is generated according to the identification data. The user perception feature library includes sound information, image information, environmental information, application usage information, and service preference information perceived by the smart device.

[0048] Specifically, the intelligent perception service builds a user perception feature library based on the intelligent perception capabilities. The library includes information collection, identification, analysis and reasoning of user attributes. The user perception feature library distinguishes the intelligent perception needs of different users through information perceived by hardware, applications and AI services.

[0049] Furthermore, user data is collected through system information, application information and AI services; user attributes are distinguished using technologies such as voiceprint recognition and face recognition; if the device has the ability to represent user attributes, a user perception feature library corresponding to the user attributes is generated.

[0050] In step S103, user perception information is acquired according to the user perception feature library.

[0051] In a possible implementation, the perception information is user perception data. According to the user perception feature library, the perception accuracy and information collection dimension are determined; and information collection processing is performed according to the perception accuracy and information collection dimension to obtain the user perception data.

[0052] Specifically, the intelligent perception service constructs an intelligent perception information collection model that matches the user perception feature library; the model determines the depth of data collection, the type of intelligent perception service, etc. according to the user's perception characteristics.

[0053] Furthermore, based on the user perception feature library, determine the perception accuracy and the dimension of information collection; determine which hardware devices need to be driven for data collection; determine which AI services need to give the collected data to for data processing and reasoning operations; use the intelligent perception big model to process information and generate user perception information data.

[0054] In step S104, a service response strategy is generated according to the perception information and the intelligent agent service, and the intelligent device is controlled according to the service response strategy.

[0055] In a possible implementation, the type of the intelligent agent service in the user's current intelligent perception scenario is determined based on the user perception data and the intelligent agent service; and a service response strategy is generated based on the intelligent agent service type.

[0056] Specifically, the intelligent perception service formulates the agent service response strategy based on the reasoning results, including determining the agent providing the service, service type, time, scene, and service object. After receiving the reasoning results of the intelligent perception service, the agent sends the reasoning conclusion to the corresponding agent according to the agent service type; the agent executes the instructions and calls the corresponding system, service, or application to provide the user with intelligent perception services; the user can adjust or optimize the settings and effects of the intelligent perception service through the feedback mechanism.

[0057] Furthermore, based on the user perception data, the intelligent perception big model is used for reasoning; the intelligent agent service type and intelligent agent corresponding to the current user's intelligent perception scenario are confirmed; the intelligent agent service response strategy is formulated and sent to the intelligent perception service; the intelligent perception service calls the system perception parameter response of the smart device and executes the corresponding intelligent agent service (such as opening an AI pet cat in the TV window, etc.).

[0058] It should be noted that the present application constructs a perception feature library with user attributes through a perception big model; the intelligent perception service confirms the type and quantity of intelligent agent services through the system perception parameters of smart devices (such as TVs), and constructs an intelligent perception information collection model that matches the system perception capabilities; through the perception information collection dimension, the user's perception information is collected in real time, and the user perception information is constructed and the intelligent agent service type is confirmed through the perception big model; after receiving the reasoning results of the intelligent perception service, the intelligent agent sends the reasoning conclusion to the corresponding intelligent agent according to the intelligent agent service type, and provides intelligent perception services to users.

[0059] This application can provide users with a more intimate and audible intelligent perception service through scene analysis, information construction, and service response of the intelligent perception big model based on the user's usage environment, device AI capabilities, user interaction and other influencing factors. This intelligent perception service greatly improves the AI ​​service response experience of existing smart devices, making the user's intelligent experience more perceptual and improving the user's sense of happiness in interacting with smart devices.

[0060] See also Figure 3 , the specific implementation of this application is described below in conjunction with a specific application scenario.

[0061] K1. The smart device (such as TV) is turned on and the smart sensing service is started;

[0062] K2. Intelligent perception service obtains the system perception parameters of intelligent devices, which are stored in the system of intelligent devices. According to the hardware configuration, system configuration, service type, application data, AI capabilities, intelligent body services, etc. of the intelligent devices, the software, hardware and AI services that can be provided to the intelligent perception system are composed of. When the intelligent device is turned on, the system perception parameters of the current device are obtained through system information (hardware configuration, such as whether there is a far-field voice module, whether there is a camera module, whether there is a millimeter wave module, whether there is a light sensing module and other hardware devices), application information (which applications are installed, such as Tencent Video, sports health, information applications, AI creation applications, screen projection, multi-windows, etc.), AI information (such as AI voice, voiceprint recognition, lip movement recognition, voice large model, AI image, image large model, face recognition, gesture recognition, emotion recognition, intelligent scene recognition, AI image creation, AI smart assistant, intelligent perception large model, etc.).

[0063] K3. Through system perception parameters, construct intelligent body services that can be provided by current smart devices (such as: smart chatting, smart companionship, smart scenario interaction, smart learning, smart listening, smart voice, game assistant, video assistant, casual interaction, etc.). Users of the above intelligent body services can subscribe or close them. If closed, no intelligent perception service response will be generated with the intelligent body service. The intelligent agent service will dynamically generate intelligent agent services based on the user's intelligent perception service status. If the user allows the recommendation of new intelligent agent services, the new intelligent agent service can be received. Otherwise, no new intelligent agent service will be provided. The default setting is on. The intelligent agent service is dynamically updated according to the system perception parameters. In particular, the update of application information and AI information has a great impact on the service construction of its intelligent agent. Therefore, each time the intelligent perception service is initialized at startup, it is necessary to dynamically obtain whether the application information and AI information are updated (the application and AI service have the output of intelligent perception service parameters, which are placed in the application and service information, and their parameters are registered in the intelligent perception service after installation), as well as the updated parameters (updated to the intelligent perception service). The impact of the updated parameters on intelligent perception is inferred through the intelligent perception large model, and the intelligent perception capability and the type and service of the intelligent service body are re-optimized and adjusted according to the updated parameters.

[0064] K4. The number and type of intelligent agent services are provided based on the intelligent perception services inferred based on the intelligent perception large model according to the comprehensive capabilities of the system information, application information, and AI information of the intelligent device. If the intelligent perception service inferred by the intelligent agent service lacks the necessary response environment, the intelligent agent service will not be constructed (for example: if the intelligent device does not have a camera, it must not have the ability to recognize faces based on the camera, and the intelligent agent will not have intelligent agent services that require face recognition to respond. For example (example) intelligent agent service-intelligent companionship [camera (system information, necessary), face recognition (AI information, necessary), emotion recognition (AI information, necessary), AI pet (application information, non-essential), music (application information, non-essential)] (need to recognize the user's face, build perception information services through the user's face and emotions, infer companionship that requires emotional value, and interact by opening the AI ​​pet application\music application) If the necessary camera is not available, then the intelligent agent service will not have intelligent companionship intelligent agent services);

[0065] K5. After confirming the system perception parameters of the smart device, the smart perception service builds the smart perception capabilities of the device (i.e., what smart perceptions the current device can perform, what smart perception data the smart perception big model can collect, according to which dimension the smart perception feature library matches the smart perception information collection model, to build the perception information service, which intelligent agents can respond to the smart perception service, etc.). This capability is determined by the above-mentioned system perception parameters. Please refer to the example of the intelligent agent service-intelligent companionship and the following examples for understanding, such as:

[0066] Intelligent perception capabilities; if the hardware configuration of the smart device includes a far-field voice module, a camera module, and a millimeter wave module, the application information includes Tencent video, sports health, and multi-window applications, the AI ​​information includes AI voice, voice large model, voiceprint recognition, lip movement recognition, emotion recognition, face recognition, image large model, and image creation capabilities, and the intelligent body services include intelligent chatting, intelligent companionship, intelligent learning, and intelligent listening. The most basic intelligent perception includes collecting the user's voice data and voiceprint data through the far-field voice module, collecting the user's face data and image data through the camera module, collecting the user's identity data and home environment data through the millimeter wave module, etc., processing (recognition and labeling) the voice data recognized by the far-field voice module through the voice big model, inferring intelligent chatting through the voice big model, and identifying, labeling, and inferring user usage scenarios through the image big model. If the device is not equipped with a camera module, camera-related face recognition, lip movement recognition, gesture recognition, scene recognition and other AI capabilities and intelligent agent services will not appear, nor will it build a user-perceived feature library, nor will it collect camera-related perception information, let alone build camera-related user perception information services.

[0067] K6. Intelligent perception service builds a user perception feature library based on the intelligent perception capability of intelligent devices. The user perception feature library includes: information collection, identification, analysis, and reasoning of user attributes, providing users with intelligent perception services of personal attributes. The user perception feature library includes the sound, image, environment, etc. that can be perceived by the hardware of system information, the user's application usage habits on intelligent devices perceived by application information, and the AI ​​service preferences and habits perceived by AI services. The above user perception feature library distinguishes user attributes through voiceprint recognition, face recognition, millimeter wave marking, etc. If the intelligent device does not have the ability to distinguish user attributes, all data of the intelligent terminal is regarded as belonging to one user, and user attributes are not distinguished. If the intelligent device has the ability to represent user attributes, such as through voiceprint identification, face identification, and millimeter wave feature identification, a user perception feature library corresponding to the user attributes is generated to distinguish the intelligent perception of different users.

[0068] K7. Intelligent perception service - The intelligent perception big model builds an intelligent perception information collection model that matches the above user perception feature library (the intelligent perception model determines the perception accuracy and information collection dimension based on the user's perception features. Different users have different requirements for intelligent perception services, so the depth of data collection, the type of intelligent perception service, and the intelligent perception service to be applied will be different. For example: in the same scenario (the user is sitting in front of the TV and daydreaming), if it is user A, his perception feature library shows that it is necessary to pay attention to his facial expressions and whether he is talking to himself, then data collection needs to call far-field voice to collect the user's voice data, the camera captures the user's facial data, and analyzes it through emotion recognition. If it is user B, his perception feature library shows that the user is daydreaming in front of the TV, and only needs to play a soothing piece of music to complete the task well. Then when perceiving this scene, there is no need to call the perception hardware and AI service, only need to open the application that meets the needs according to the user's application habits). Confirm which hardware devices need to be driven for data collection, which AI services need to provide the collected data for data processing and reasoning operations, and according to which dimensions the data needs to be processed by the intelligent perception model to generate perception information service data with user attributes (user perception information data);

[0069] K8. Intelligent perception service performs intelligent perception large model inference based on user perception data, confirms the intelligent agent service type and intelligent agent corresponding to the current user's intelligent perception scenario, and formulates an intelligent agent service response strategy (such as the intelligent agent service response strategy of intelligent companionship: open the AI ​​pet application (application service-AI pet-pet cat (user perception feature library, obtain the user's favorite pet type as cat, and the production of pet cat comes from AI image creation)), and output a piece of soothing music that the user is accustomed to (application service-music), and add a background picture corresponding to the application (AI service-AI image creation (creation parameters come from soothing music));

[0070] K9. The corresponding intelligent body service strategy is sent to the intelligent perception service through the intelligent body service. The intelligent perception service calls the system perception parameter response of the smart device (open the AI ​​pet cat in the TV window. The cat is created by AI image and accompanied by a background picture of soothing music created by AI image, and the corresponding soothing music is played).

[0071] Next, a strategy generation system for intelligent perception services proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0072] Figure 4 It is a structural diagram of the strategy generation system of the intelligent perception service of the embodiment of the present application.

[0073] like Figure 4As shown, the strategy generation system of the intelligent perception service includes: a capability and service construction module 100, a feature library construction module 200, a perception information acquisition module 300 and a strategy response module 400.

[0074] Specifically, the capability and service building module 100 is used to build the intelligent perception capability and intelligent agent service of the intelligent device;

[0075] A feature library construction module 200 is used to construct a user perception feature library according to the intelligent perception capability, wherein the user perception feature library has user attributes;

[0076] A perception information acquisition module 300 is used to acquire user perception information according to the user perception feature library;

[0077] The policy response module 400 is used to generate a service response policy according to the perception information and the intelligent agent service, so as to control the intelligent device according to the service response policy.

[0078] Figure 5 This is a structural diagram of a smart device provided in an embodiment of the present application. The smart device may include:

[0079] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0080] When the processor 502 executes the program, the strategy generation method for the intelligent perception service provided in the above embodiment is implemented.

[0081] Furthermore, the smart device also includes:

[0082] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0083] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0084] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0085] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EIS) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0086] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0087] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0088] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned intelligent perception service policy generation method is implemented.

[0089] One embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the present application Figure 1 A strategy generation method for intelligent perception services provided by any embodiment in the corresponding embodiments.

[0090] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0091] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0092] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0093] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable storage medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or N wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary, and then storing it in a computer memory.

[0094] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0095] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0096] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0097] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

[0098] It should be understood that the application of the present application is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to this application.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A strategy generation method for intelligent perception service, characterized in that: The strategy generation method of the intelligent perception service includes: Build intelligent perception capabilities and intelligent agent services for smart devices; Building a user perception feature library according to the intelligent perception capability, wherein the user perception feature library has user attributes; Acquiring user perception information according to the user perception feature library; A service response strategy is generated according to the perception information and the intelligent agent service, and the intelligent device is controlled according to the service response strategy.

2. The strategy generation method for intelligent perception service according to claim 1, characterized in that: The construction of intelligent perception capabilities and intelligent agent services of intelligent devices specifically includes: Obtain the perception parameters of smart devices; According to the perception parameters, the intelligent agent service and intelligent perception capability of the intelligent device are constructed.

3. The strategy generation method for intelligent perception service according to claim 2, characterized in that: The construction of intelligent perception capabilities and intelligent agent services of intelligent devices further includes: When the perception parameters are updated, the intelligent agent service and intelligent perception capability of the intelligent device are dynamically constructed according to the updated perception parameters.

4. The strategy generation method for intelligent perception service according to claim 1, characterized in that: The step of constructing a user perception feature library according to the intelligent perception capability specifically includes: Acquire user data, and distinguish user attributes according to the user data to obtain identification data; If the smart device has the ability to represent user attributes, a user perception feature library corresponding to the user attributes is generated according to the identification data.

5. The strategy generation method for intelligent perception service according to claim 4, characterized in that: The user perception feature library includes sound information, image information, environmental information, application usage information and service preference information perceived by the smart device.

6. The strategy generation method for intelligent perception service according to claim 1, characterized in that: The perception information is user perception data; The acquiring the user's perception information according to the user perception feature library specifically includes: Determining perception accuracy and information collection dimensions according to the user perception feature library; Information collection and processing is performed according to the perception accuracy and information collection dimension to obtain user perception data.

7. The strategy generation method for intelligent perception service according to claim 6, characterized in that: The generating of a service response strategy according to the perception information and the agent service specifically includes: Determine the type of agent service in the user's current intelligent perception scenario according to the user perception data and the agent service; Generate a service response strategy based on the agent service type.

8. A strategy generation system for intelligent perception services, characterized in that: The strategy generation system of the intelligent perception service includes: Capability and service building modules are used to build intelligent perception capabilities and intelligent agent services for intelligent devices; A feature library construction module, used to construct a user perception feature library according to the intelligent perception capability, wherein the user perception feature library has user attributes; A perception information acquisition module, used to acquire the user's perception information according to the user perception feature library; A policy response module is used to generate a service response policy based on the perception information and the intelligent agent service, so as to control the intelligent device according to the service response policy.

9. A smart device, characterized in that: The smart device includes: a memory, a processor, and a policy generation program for an intelligent perception service stored in the memory and executable on the processor. When the policy generation program for the intelligent perception service is executed by the processor, the steps of the policy generation method for the intelligent perception service as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a policy generation program for an intelligent perception service, and when the policy generation program for an intelligent perception service is executed by a processor, the steps of the policy generation method for an intelligent perception service according to any one of claims 1 to 7 are implemented.

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