House scene generation method and device and storage medium

Abstract

The invention relates to a house scene generation method and device and a storage medium. The house scene generation method comprises the following steps: acquiring house scene demand information set on a webpage display interface by a user; generating house scene recommendation information matched with the house scene demand information, wherein the house scene recommendation information comprises recommended house scene generation parameter information and information of equipment recommended to be arranged in the house scene; and based on the house scene recommendation information, generating and displaying a house scene matched with the house scene recommendation information. House decoration requirements of users are comprehensively known, and house decoration experience of the users is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of smart homes, and particularly to a method, device, and storage medium for generating a house scene. Background Art

[0002] With the continuous development of smart homes, people are increasingly pursuing high-quality one-stop home improvement services.

[0003] In related technologies, for one-stop home improvement services, designers use dedicated software to design according to user needs. However, due to the inability to accurately understand the user's design needs, users are often dissatisfied with the design scheme, and designers are also unable to accurately apply smart devices to the home improvement environment. Summary of the Invention

[0004] To overcome the problems existing in related technologies, the present disclosure provides a method, device, and storage medium for generating a house scene.

[0005] According to the first aspect of the embodiments of the present disclosure, a method for generating a house scene is provided, including: obtaining house scene requirement information set by a user on a web display interface; generating house scene recommendation information that matches the house scene requirement information, where the house scene recommendation information includes recommended house scene generation parameter information and device information recommended to be arranged in the house scene; and generating and displaying a house scene that matches the house scene recommendation information based on the house scene recommendation information.

[0006] In one implementation, the generating of the house scene recommendation information that matches the house scene requirement information includes: loading scene knowledge model information and device knowledge model information; determining, based on the scene knowledge model information, house scene information that matches the house scene requirement information, and determining, based on the device knowledge model information, device information that matches the house scene requirement information; and obtaining the house scene recommendation information based on the house scene information and the device information.

[0007] In one implementation, the loading of the scene knowledge model information and the device knowledge model information includes: loading the scene knowledge model information in a first Jason format and loading the device knowledge model information in a second Jason format; where the house scene information that matches the house scene requirement information has the first Jason format, and the device information that matches the house scene requirement information has the second Jason format.

[0008] In one implementation, the method further includes: loading house scene model information; before generating and displaying a house scene that matches the house scene recommendation information based on the house scene recommendation information, the method further includes: verifying that the house scene recommendation information is in Jason format based on the house scene model information.

[0009] In one implementation, the house scene generation model information includes at least one of the following: background knowledge generation model information; house scene generation task information; JSON format information loaded by the knowledge model.

[0010] In one implementation, the method further includes: generating a report including the generated house scene content, and the report supports being downloaded.

[0011] According to a second aspect of the embodiments of the present disclosure, there is provided a house scene generation device, including:

[0012] An acquisition unit, configured to acquire house scene requirement information set by a user on a web display interface;

[0013] A generation unit, configured to generate house scene recommendation information that matches the house scene requirement information, where the house scene recommendation information includes recommended house scene generation parameter information and device information recommended to be arranged in the house scene;

[0014] A display unit, configured to generate and display a house scene that matches the house scene recommendation information based on the house scene recommendation information.

[0015] In one implementation, the generation unit generates the house scene recommendation information that matches the house scene requirement information in the following manner: loading scene knowledge model information and device knowledge model information; determining house scene information that matches the house scene requirement information based on the scene knowledge model information, and determining device information that matches the house scene requirement information based on the device knowledge model information; obtaining the house scene recommendation information based on the house scene information and the device information.

[0016] In one implementation, the generation unit loads the scene knowledge model information and the device knowledge model information in the following manner: loading the scene knowledge model information in a first Jason format, and loading the device knowledge model information in a second Jason format; where the house scene information that matches the house scene requirement information has the first Jason format, and the device information that matches the house scene requirement information has the second Jason format.

[0017] In one implementation, the generating unit is further configured to: load house scene model information; before generating and displaying a house scene that matches the house scene recommendation information based on the house scene recommendation information, the method further includes: verifying that the house scene recommendation information is in Jason format based on the house scene model information.

[0018] In one implementation, the house scene generation model information includes at least one of the following: background knowledge generation model information; house scene generation task information; JSON format information loaded by the knowledge model.

[0019] In one implementation, the generating unit is further configured to: generate a report including the generated house scene content, and the report supports being downloaded.

[0020] According to a third aspect of the embodiments of the present disclosure, there is provided a terminal device, including: a processor; a memory for storing processor-executable instructions; wherein, the processor is configured to execute the executable instructions to be able to execute the display control method in the first aspect or any one of the implementations in the first aspect.

[0021] According to a fourth aspect of the embodiments of the present disclosure, there is provided a storage medium, in which instructions are stored, and when the instructions in the storage medium are executed by a processor of a terminal, the terminal device is enabled to execute the house scene generation method in the first aspect or any one of the implementations in the first aspect.

[0022] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: By obtaining the house scene requirement information input by the user on the web display interface, the user's needs can be comprehensively understood. According to the obtained user needs, an interface that conforms to the user's home decoration scene can be accurately generated, and the information of intelligent devices in the home decoration scene is displayed on this interface, facilitating the user's understanding of the intelligent devices. Furthermore, a house scene that meets the user's needs can be directly generated, reducing the design cycle and enhancing the user's decoration experience.

[0023] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0025] Figure 1 is a flowchart of a house scene generation method shown according to an exemplary embodiment.

[0026] Figure 2It is a flowchart of loading model information shown according to an exemplary embodiment.

[0027] Figure 3 It is a flowchart of loading model information shown according to an exemplary embodiment.

[0028] Figure 4 It is a flowchart of verifying house scene model information shown according to an exemplary embodiment.

[0029] Figure 5 It is a flowchart of a whole-house intelligent scene and device recommendation method shown according to an exemplary embodiment.

[0030] Figure 6 It is a block diagram of a house scene generation device shown according to an exemplary embodiment.

[0031] Figure 7 It is a block diagram of a house scene generation device shown according to an exemplary embodiment. Detailed implementation mode

[0032] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure.

[0033] The scene generation method provided by the embodiments of the present disclosure is applied to the intelligent home decoration scene. The house scene generation method involved in the embodiments of the present disclosure is mainly applied to the one-stop intelligent home decoration scene.

[0034] In the related art, for home decoration design, usually two methods are adopted. One method is that the designer designs a home decoration plan that meets the user's needs manually according to the user's needs and designs the home decoration scene using proprietary design software. The other method is to design the home decoration scene relying on established rule templates.

[0035] For the above two home decoration design methods, in the scenario of artificially designing a home decoration plan, it is difficult for designers to accurately understand the home decoration needs of users. For example, they cannot fully meet the user's needs for design plans, home decoration budgets, etc. Moreover, when designing, designers cannot accurately apply intelligent devices to the home decoration scenario and reflect the functions of intelligent devices in the home decoration scenario. In addition, in the case of relying on established rule templates, the intelligent scene templates used are manually written based on device characteristics. In the initial stage of scene establishment, the overall user needs, such as intelligent device needs, home decoration style needs, actual usable area needs of the house, multi-device linkage needs, and intelligent decoration budget needs, cannot be considered properly. As a result, an intelligent scene that directly synthesizes many factors to obtain the user's intention cannot be fully generated to meet the user's decoration needs.

[0036] In view of this, the present disclosure provides a scene generation method that combines artificial intelligence (AI) model technology with an intelligent home decoration scenario. By means of a personalized design plan and full integration of intelligent products, a home decoration scene is directly generated at the stage when the user first inputs home decoration needs, and a professional decoration report is provided to create a more convenient, intelligent, comfortable, and satisfactory home environment for the user.

[0037] Figure 1 It is a flowchart of a method for generating a house scene shown according to an exemplary embodiment. As Figure 1 shown, the method for generating a house scene is used in a terminal and includes the following steps.

[0038] In step S11, obtain the house scene requirement information set by the user on the web display interface.

[0039] In one implementation, obtain the requirement information of the house decoration scene input by the user on the decoration page, such as the user's requirement for the home decoration style and the required type of intelligent home decoration.

[0040] Among them, the house scene requirement information can be understood as information such as the user's demand for intelligent devices, home decoration style, house size, and intelligent decoration budget.

[0041] In step S12, generate house scene recommendation information that matches the house scene requirement information.

[0042] In one implementation, according to the house scene requirement information set by the user obtained on the web display interface, generate house scene recommendation information that matches the house scene requirement information.

[0043] Among them, the house scene recommendation information can be understood as existing in the same data format and including the recommended house scene generation parameter information and the device information recommended to be arranged in the house scene.

[0044] In step S13, based on the house scene recommendation information, a house scene that matches the house scene recommendation information is generated and displayed.

[0045] In one implementation, according to the recommendation information of the house scene, a house scene that matches the house scene recommendation information is generated.

[0046] Among them, the house scene can be understood as the house scene information that the user needs to decorate.

[0047] In one implementation, by obtaining the user's requirements information for house decoration through a web page, the labor cost is saved, the user's requirements for the home decoration plan are comprehensively understood, the recommended information that matches the house scene is generated in one stop, the design cycle is reduced, and the situation where the user is dissatisfied with the home decoration plan due to the designer's incomplete understanding of the user's home decoration requirements is avoided, the communication cost is saved, and the user experience is improved.

[0048] Figure 2 It is a flowchart of loading model information shown according to an exemplary embodiment. As Figure 2 shown, it includes the following steps:

[0049] In step S21, the scene knowledge model information and the device knowledge model information are loaded.

[0050] In one implementation, the scene knowledge model and the device knowledge model information input by the user are loaded.

[0051] Among them, the scene knowledge model information can be understood as the home decoration requirement information input by the user, such as home decoration style information, house type information, house status information, or house perspective information.

[0052] The device knowledge model information can be understood as the scene information required to add devices, device application scenarios, device application information, or device price information, etc.

[0053] In step S22, based on the scene knowledge model information, the house scene information that matches the house scene requirement information is determined, and based on the device knowledge model information, the device information that matches the house scene requirement information is determined.

[0054] In one implementation, according to the scene knowledge model information, the house scene information that matches the house scene requirements is selected from the model, and according to the device knowledge model information, the devices required by the user are added to the house scene.

[0055] In step S23, based on the house scene information and the device information, the house scene recommendation information is obtained.

[0056] In one implementation, based on the added general scenario information and device information, house scenario recommendation information is obtained.

[0057] Among them, the house scenario recommendation information can be understood as the scenario information recommended to match the user's decoration needs and the information showing the application scenarios of intelligent devices.

[0058] In one implementation, the recommendation system is further optimized based on the scenario generation model. By adding intelligent scenario-specific device information, the recommendation becomes more intelligent and personalized, and can more accurately meet the user's needs. According to the present disclosure, when it is detected that intelligent devices need to be added to the house scenario, relevant devices can be intelligently recommended in the house scenario.

[0059] Figure 3 It is a flowchart showing the loading of model information according to an exemplary embodiment. As Figure 3 shown, it includes the following steps:

[0060] In step S31, the scenario knowledge model information and the device knowledge model information are loaded.

[0061] In one implementation, the scenario knowledge model and the device knowledge model information input by the user are loaded.

[0062] In step S32, the scenario knowledge model information is loaded in the first Jason format.

[0063] In one implementation, according to a fixed data format, such as the Jason format, the scenario knowledge model information is loaded.

[0064] Among them, the first Jason format can be understood as the area information of intelligent devices in the scenario, the application information of intelligent devices in the application scenario, the application detail information, the application description information, etc.

[0065] In step S33, the device knowledge model information is loaded in the second Jason format.

[0066] In one implementation, according to a fixed data format, such as the Jason format, the device knowledge model information is loaded.

[0067] Among them, the second Jason format can be understood as the device name of intelligent devices in the scenario, the price of intelligent devices, etc.

[0068] In one implementation, using the data statements in the Jason format, the professional algorithm adopted can effectively process and analyze user data, solve the problem of formatting output of intelligent home decoration scenarios and devices, not only improve the accuracy of model output, but also provide a reliable basis for in-depth analysis of the generation and application of scenarios in the model.

[0069] Figure 4 is a flowchart showing the verification of house scene model information according to an exemplary embodiment. As Figure 4 shown, it includes the following steps:

[0070] In one implementation, load the house scene model information.

[0071] In step S41, based on the house scene model information, verify that the house scene recommendation information is in Jason format.

[0072] In one implementation, verify that the house scene recommendation information is in Jason format according to the house scene model information.

[0073] In step S42, based on the house scene recommendation information, generate and display the house scene that matches the house scene recommendation information.

[0074] In one implementation, generate and display the house scene that matches the house scene recommendation information according to the house scene recommendation information in Jason format.

[0075] In one implementation, according to the house scene recommendation information in Jason format, optimize the formatted output of the intelligent home decoration scene and devices during the model generation process, improving the efficiency and accuracy of data processing.

[0076] In one implementation, load the model information for the whole-house customization scenario, including at least one of: background knowledge generation model information, house scene generation task information, and JSON format information loaded by the knowledge model.

[0077] Among them, the background knowledge generation model information can be understood as generating the model as an intelligent home decoration designer and customizer; the house scene generation task information can be understood as specifying the intelligent home generation task, allowing the model to generate relevant scenes, required devices, and overall solution quotations. The JSON format information loaded by the knowledge model can be understood as generating a specified format, providing a standardized JSON format for intelligent scene and device recommendations, and setting strict content restrictions to ensure that the model correctly generates the whole-house intelligent home customization content.

[0078] In one implementation, load the content in JSON format in the house scene generation model information into the model.

[0079] In one implementation, generate a report including the generated house scene content, and the report supports user download.

[0080] In one implementation, display the information of intelligent devices in the house scene according to the report of the generated house scene content, facilitating the user's overall evaluation of the current house scene.

[0081] Figure 5 is a flowchart of a method for recommending a whole-house intelligent scenario and devices shown in an exemplary embodiment. As Figure 5 shown, it includes the following steps:

[0082] In step S51, collect basic user information.

[0083] In one implementation, the system collects basic information about the user's whole-house intelligent home improvement needs submitted through a web interface.

[0084] Among them, the basic user information can be understood to include information such as intelligent device requirements, home decoration style, house size, multi-device linkage, and intelligent decoration budget.

[0085] In step S52, integrate the basic user information.

[0086] In one implementation, after the system collects the basic user information, according to the operation instruction of the user clicking to execute the next step, integrate the information submitted by the user.

[0087] Among them, integrating the basic user information can be understood as adjusting the format of the basic information input by the user in the format of JSON statements.

[0088] In step S53, load the whole-house scenario generation Prompt.

[0089] In one implementation, the system loads a whole-house scenario generation home improvement model according to the integrated basic user information.

[0090] In one implementation, load the Prompt information for the whole-house customization scenario. The Prompt includes: (1) background knowledge generation, that is, generate a large model as an intelligent home improvement design and customization engineer; (2) specific task assignment, specify the intelligent home generation task, and let the large model generate relevant scenarios, required devices, and overall plan quotations; (3) generation format specification, provide a standardized JSON format for intelligent scenario and device recommendation, and set strict content restrictions to ensure that the model correctly generates the whole-house intelligent home customization content; (4) generate connection content, prepare to load data knowledge into the Prompt.

[0091] Among them, the Prompt can be understood as a model for automatically generating customized home decoration scenario information.

[0092] In step S54, load the target database into the Prompt.

[0093] In one implementation, load relevant device database knowledge (including product names and prices) into the Prompt in JSON data format.

[0094] In step S55, integrate user information into the Prompt.

[0095] In one implementation, load the knowledge of the scene database into the Prompt, including the area of the scene, content description, and required device information, presented in JSON format.

[0096] In one implementation, integrate the generated basic user information into the Prompt of the large model to form all the knowledge input to the large model.

[0097] In step S56, call the model interface.

[0098] In one implementation, call the relevant API interfaces provided by the generative large model to process the integrated information. Return the defined JSON result, which includes the area content of each area of the user's home, the content of the intelligent scene, the content of the intelligent devices required for the scene, the unit price content of the intelligent devices, and the total price of the devices involved in the intelligent scene, etc.

[0099] In step S57, verify the feedback result.

[0100] In one implementation, verify the result returned by the large model calling the API to confirm that it is JSON-formatted scene data and related device information.

[0101] In step S58, generate a whole-house customized result report.

[0102] In one implementation, display the JSON result returned by the large model on the corresponding interface for the user to view, and provide a relevant whole-house customized result report for the user to download.

[0103] In one implementation, generate intelligent scenes and formulate home improvement plans according to the user's input information, making the generated scenes more in line with the user's design requirements, facilitating the user to quickly understand the implementation process of current intelligent devices, generating home improvement scenes in one stop, calling the decoration templates in the proprietary database, or automatically generating new decoration templates, saving the time of traditional home improvement and intelligent scene design, shortening the design cycle, and thus improving the user's quality of life and living experience.

[0104] In addition, using the method for generating house scenes involved in the present disclosure, when the user has a need to add intelligent home improvement devices, the user only needs to input the identification information of the intelligent home improvement device (such as model information, customization, that is, the device information that can determine a unique device), and this method automatically calls the application information about the home improvement device to generate a preview scene diagram of the actual application effect, facilitating the user to accurately understand the function of the intelligent home improvement device and enhancing the user experience.

[0105] Based on the same concept, an embodiment of the present disclosure further provides a housing scene generation device.

[0106] It can be understood that, in order to implement the above functions, the housing scene generation device provided by the embodiment of the present disclosure includes the corresponding hardware structure and / or software module for executing each function. Combining the units and algorithm steps of the various examples disclosed in the embodiments of the present disclosure, the embodiments of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiments of the present disclosure.

[0107] Figure 6 It is a block diagram of a housing scene generation device shown according to an exemplary embodiment. Referring to Figure 6 FIG., the device 100 includes: an acquisition unit 101, a generation unit 102, and a display unit 103.

[0108] The acquisition unit 101 is configured to acquire the housing scene requirement information set by the user on the web display interface;

[0109] The generation unit 102 is configured to generate housing scene recommendation information that matches the housing scene requirement information, where the housing scene recommendation information includes the recommended housing scene generation parameter information and the device information recommended to be arranged in the housing scene;

[0110] The display unit 103 is configured to generate and display a housing scene that matches the housing scene recommendation information based on the housing scene recommendation information.

[0111] In one implementation manner, the generation unit 102 generates the housing scene recommendation information that matches the housing scene requirement information in the following manner: loading the scene knowledge model information and the device knowledge model information; determining the housing scene information that matches the housing scene requirement information based on the scene knowledge model information, and determining the device information that matches the housing scene requirement information based on the device knowledge model information; and obtaining the housing scene recommendation information based on the housing scene information and the device information.

[0112] In one implementation manner, the generation unit 102 loads the scene knowledge model information and the device knowledge model information in the following manner: loading the scene knowledge model information in the first Jason format, and loading the device knowledge model information in the second Jason format; wherein, the housing scene information that matches the housing scene requirement information has the first Jason format, and the device information that matches the housing scene requirement information has the second Jason format.

[0113] In one implementation, the generating unit 102 is further configured to: load the house scene model information; before generating and displaying a house scene that matches the house scene recommendation information based on the house scene recommendation information, the method further includes: verifying that the house scene recommendation information is in Jason format based on the house scene model information.

[0114] In one implementation, the house scene generation model information includes at least one of the following: background knowledge generation model information; house scene generation task information; JSON format information loaded by the knowledge model.

[0115] In one implementation, the generating unit 102 is further configured to: generate a report including the generated house scene content, and the report supports being downloaded.

[0116] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0117] Figure 7 FIG. is a block diagram of a device 200 for generating a house scene according to an exemplary embodiment. For example, the device 200 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0118] Refer to Figure 7 , the device 200 may include one or more of the following components: a processing component 202, a memory 204, a power component 206, a multimedia component 208, an audio component 210, an input / output (I / O) interface 212, a sensor component 214, and a communication component 216.

[0119] The processing component 202 generally controls the overall operation of the device 200, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The processing component 202 may include one or more processors 220 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 202 may include one or more modules to facilitate the interaction between the processing component 202 and other components. For example, the processing component 202 may include a multimedia module to facilitate the interaction between the multimedia component 208 and the processing component 202.

[0120] The memory 204 is configured to store various types of data to support the operation of the device 200. Examples of such data include instructions for any application or method operating on the device 200, contact data, phone book data, messages, pictures, videos, and the like. The memory 204 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk.

[0121] The power component 206 provides power for various components of the device 200. The power component 206 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 200.

[0122] The multimedia component 208 includes a screen that provides an output interface between the device 200 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can not only sense the boundaries of the touch or swipe actions, but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 208 includes a front camera and / or a rear camera. When the device 200 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

[0123] The audio component 210 is configured to output and / or input audio signals. For example, the audio component 210 includes a microphone (MIC) that is configured to receive external audio signals when the device 200 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 204 or transmitted via the communication component 216. In some embodiments, the audio component 210 further includes a speaker for outputting audio signals.

[0124] The I / O interface 212 provides an interface between the processing component 202 and a peripheral interface module, which can be a keyboard, a click wheel, buttons, etc. These buttons can include, but are not limited to: a home button, a volume button, a power-on button, and a lock button.

[0125] The sensor assembly 214 includes one or more sensors for providing a status assessment of various aspects of the device 200. For example, the sensor assembly 214 can detect the on / off state of the device 200, the relative positioning of components, such as the display and keypad of the device 200. The sensor assembly 214 can also detect a change in the position of the device 200 or a component of the device 200, the presence or absence of user contact with the device 200, the orientation or acceleration / deceleration of the device 200, and the temperature change of the device 200. The sensor assembly 214 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 214 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 214 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0126] The communication component 216 is configured to facilitate communication between the device 200 and other devices in a wired or wireless manner. The device 200 can access a wireless network based on communication standards, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 216 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 216 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0127] In an exemplary embodiment, the device 200 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above method.

[0128] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as the memory 204 including instructions, is also provided. The above instructions can be executed by the processor 220 of the device 200 to complete the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0129] It can be understood that in this disclosure, "a plurality of" means two or more, and other quantifiers are similar thereto. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after. The singular forms of "a", "the", and "said" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0130] It can be further understood that the terms "first", "second", etc. are used to describe various information, but this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other and do not represent a specific order or degree of importance. In fact, the expressions such as "first" and "second" can be used interchangeably. For example, without departing from the scope of this disclosure, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information.

[0131] It can be further understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "lateral", "front", "rear", "upper", "lower", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing this embodiment and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation.

[0132] It can be further understood that unless otherwise specified, "connection" includes direct connection without other components between the two, and also includes indirect connection with other elements between the two.

[0133] It can be further understood that although the operations are described in a specific order in the drawings in the embodiments of this disclosure, it should not be understood as requiring these operations to be performed in the specific order shown or in a serial order, or requiring all the operations shown to obtain the desired result. In a specific environment, multitasking and parallel processing may be beneficial.

[0134] Those skilled in the art will readily think of other embodiments of this disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure, which follow the general principles of this disclosure and include common general knowledge or conventional technical means in the technical field not disclosed in this disclosure.

[0135] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A method for generating a house scene, characterized in that, The method includes: Obtaining the housing scene requirement information set by the user on the web display interface; Generating housing scene recommendation information that matches the housing scene requirement information, where the housing scene recommendation information includes the recommended housing scene generation parameter information and the device information recommended to be arranged in the housing scene; Based on the housing scene recommendation information, generating and displaying a housing scene that matches the housing scene recommendation information.

2. The method according to claim 1, wherein The generating of the housing scene recommendation information that matches the housing scene requirement information includes: Loading the scene knowledge model information and the device knowledge model information; Based on the scene knowledge model information, determining the housing scene information that matches the housing scene requirement information, and based on the device knowledge model information, determining the device information that matches the housing scene requirement information; Based on the housing scene information and the device information, obtaining the housing scene recommendation information.

3. The method according to claim 2, wherein The loading of the scene knowledge model information and the device knowledge model information includes: Loading the scene knowledge model information in the first Jason format and loading the device knowledge model information in the second Jason format; Wherein, the housing scene information that matches the housing scene requirement information has the first Jason format, and the device information that matches the housing scene requirement information has the second Jason format.

4. The method according to any one of claims 1 to 3, characterized in that The method further includes: Loading the housing scene model information; Before the generating and displaying of the housing scene that matches the housing scene recommendation information based on the housing scene recommendation information, the method further includes: Validating that the housing scene recommendation information is in the Jason format based on the housing scene model information.

5. The method according to claim 4, wherein The housing scene generation model information includes at least one of the following: Background knowledge generation model information; Housing scene generation task information; JSON format information loaded by the knowledge model.

6. The method according to claim 1, wherein The method further includes: Generating a report including the generated housing scene content, and the report supports being downloaded.

7. A housing scene generation device, characterized in that, Including: An obtaining unit for obtaining the housing scene requirement information set by the user on the web display interface; A generating unit for generating housing scene recommendation information that matches the housing scene requirement information, where the housing scene recommendation information includes the recommended housing scene generation parameter information and the device information recommended to be arranged in the housing scene; A display unit for generating and displaying a housing scene that matches the housing scene recommendation information based on the housing scene recommendation information.

8. The device according to claim 7, characterized in that, The generating unit generates the housing scene recommendation information that matches the housing scene requirement information in the following manner: Loading the scene knowledge model information and the device knowledge model information; Based on the scene knowledge model information, determining the housing scene information that matches the housing scene requirement information, and based on the device knowledge model information, determining the device information that matches the housing scene requirement information; Based on the housing scene information and the device information, obtaining the housing scene recommendation information.

9. The device according to claim 8, characterized in that, The generating unit loads the scene knowledge model information and the device knowledge model information in the following manner: Load the scenario knowledge model information in the first Jason format and load the device knowledge model information in the second Jason format; Among them, the house scenario information that matches the house scenario requirement information has the first Jason format, and the device information that matches the house scenario requirement information has the second Jason format.

10. The device according to any one of claims 7 to 9, characterized in that, The generating unit is further configured to: Load the house scenario model information; Before generating and displaying the house scenario that matches the house scenario recommendation information based on the house scenario recommendation information, the generating unit is further configured to: Verify that the house scenario recommendation information is in the Jason format based on the house scenario model information.

11. The device according to claim 10, characterized in that, The house scenario generation model information includes at least one of the following: Background knowledge generation model information; House scenario generation task information; JSON format information loaded by the knowledge model.

12. The device according to claim 7, characterized in that, The generating unit is further configured to: Generate a report including the generated house scenario content, and the report supports being downloaded.

13. A housing scene generation device, characterized in that, Including: A processor; A memory for storing instructions executable by the processor; Among them, the processor is configured to execute the method according to any one of claims 1-6.

14. A storage medium, characterized in that, Instructions are stored in the storage medium, and when the instructions in the storage medium are executed by the processor of the terminal, the terminal is enabled to execute the method according to any one of claims 1-6.

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