An interactive method, device and computer equipment based on Internet of Things platform

Abstract

The present application relates to an interactive method, device and computer equipment based on an Internet of Things platform. The method includes: in response to a spatial operation instruction of a target object, obtaining environmental perception data, biological perception data and emotional perception data; in the case of executing the spatial operation instruction, performing spatial projection modeling according to the environmental perception data, biological perception data and emotional perception data, presenting a holographic space display image; in response to a spatial function optimization instruction, performing functional adjustment according to the spatial function data in the holographic space display image, presenting a holographic function display image; in response to a spatial function customization instruction, performing adjustment according to specific function data in the holographic function display image, presenting a customized function display image; in response to a function confirmation instruction, generating a spatial application execution instruction, a spatial environment adjustment instruction and a biological emotion adjustment instruction according to the customized function display image, and the method can improve the overall interaction efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to an interaction method, device and computer equipment based on an Internet of Things platform. Background Art

[0002] With the development of IoT technology, IoT interaction technology has emerged, which is to interconnect physical devices, sensors and systems so that they can exchange data and work together. This technology uses sensors to collect data and transmits it through the network, thereby realizing automatic control and remote management between devices, improving production efficiency, improving user experience, and promoting the development of applications such as smart cities and smart homes.

[0003] In traditional technologies, the interaction of IoT platforms usually uses serial communication, industrial buses (such as MODBUS), etc. to connect sensors and devices to the central control system. Data is transmitted through these wired connections and processed and controlled by dedicated software. However, in traditional technologies, physical network platforms usually use fixed logic and preset rules to interact with target objects. The interaction process lacks adaptive capabilities and intelligent analysis, and it is difficult to dynamically adjust according to the environment and user needs, resulting in low overall interaction efficiency during the interaction between the IoT platform and the target object. Summary of the invention

[0004] Based on this, it is necessary to provide an interaction method, device, computer equipment, computer-readable storage medium and computer program product based on the Internet of Things platform, which can effectively improve the overall interaction efficiency in the interaction process between the Internet of Things platform and the target object in order to solve the above technical problems.

[0005] In a first aspect, the present application provides an interaction method based on an Internet of Things platform. The method comprises:

[0006] In response to the spatial operation instruction of the target object, acquiring environmental perception data, biological perception data and emotional perception data of the target space;

[0007] When executing the spatial operation instruction and performing spatial projection modeling according to the environmental perception data, the biological perception data, and the emotional perception data, a holographic spatial display image of the target space is presented;

[0008] In response to the spatial function optimization instruction for the target space, under the condition of performing function adjustment according to the spatial function data in the holographic spatial display image, presenting the holographic function display image of the target space;

[0009] In response to the spatial function customization instruction for the target space, the customized function display image of the target space is presented under the condition of being adjusted according to the specific function data in the holographic function display image;

[0010] In response to a function confirmation instruction for the customized function display image, a space application execution instruction, a space environment adjustment instruction and a bio-emotion adjustment instruction are generated according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the bio-emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

[0011] In a second aspect, the present application also provides an interactive device based on an Internet of Things platform. The device comprises:

[0012] An operation instruction acquisition module, used to respond to the spatial operation instruction of the target object and acquire the environmental perception data, biological perception data and emotional perception data of the target space;

[0013] An Internet of Things platform interaction module, configured to present a holographic space display image of the target space while executing the space operation instruction and performing space projection modeling according to the environmental perception data, the biological perception data, and the emotional perception data;

[0014] The Internet of Things platform interaction module is further used to present the holographic function display image of the target space in response to the spatial function optimization instruction for the target space and to perform function adjustment according to the spatial function data in the holographic space display image;

[0015] The Internet of Things platform interaction module is further used to present the customized function display image of the target space in response to the spatial function customization instruction for the target space and under the condition of adjusting according to the specific function data in the holographic function display image;

[0016] A space device control module is used to respond to a function confirmation instruction for the customized function display image, and generate a space application execution instruction, a space environment adjustment instruction and a biological emotion adjustment instruction according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the biological emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

[0017] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0018] In response to the spatial operation instruction of the target object, acquiring environmental perception data, biological perception data and emotional perception data of the target space;

[0019] When executing the spatial operation instruction and performing spatial projection modeling according to the environmental perception data, the biological perception data, and the emotional perception data, a holographic spatial display image of the target space is presented;

[0020] In response to the spatial function optimization instruction for the target space, under the condition of performing function adjustment according to the spatial function data in the holographic spatial display image, presenting the holographic function display image of the target space;

[0021] In response to the spatial function customization instruction for the target space, the customized function display image of the target space is presented under the condition of being adjusted according to the specific function data in the holographic function display image;

[0022] In response to a function confirmation instruction for the customized function display image, a space application execution instruction, a space environment adjustment instruction and a bio-emotion adjustment instruction are generated according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the bio-emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

[0023] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0024] In response to the spatial operation instruction of the target object, acquiring environmental perception data, biological perception data and emotional perception data of the target space;

[0025] When executing the spatial operation instruction and performing spatial projection modeling according to the environmental perception data, the biological perception data, and the emotional perception data, a holographic spatial display image of the target space is presented;

[0026] In response to the spatial function optimization instruction for the target space, under the condition of performing function adjustment according to the spatial function data in the holographic spatial display image, presenting the holographic function display image of the target space;

[0027] In response to the spatial function customization instruction for the target space, the customized function display image of the target space is presented under the condition of being adjusted according to the specific function data in the holographic function display image;

[0028] In response to a function confirmation instruction for the customized function display image, a space application execution instruction, a space environment adjustment instruction and a bio-emotion adjustment instruction are generated according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the bio-emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

[0029] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0030] In response to the spatial operation instruction of the target object, acquiring environmental perception data, biological perception data and emotional perception data of the target space;

[0031] When executing the spatial operation instruction and performing spatial projection modeling according to the environmental perception data, the biological perception data, and the emotional perception data, a holographic spatial display image of the target space is presented;

[0032] In response to the spatial function optimization instruction for the target space, under the condition of performing function adjustment according to the spatial function data in the holographic spatial display image, presenting the holographic function display image of the target space;

[0033] In response to the spatial function customization instruction for the target space, the customized function display image of the target space is presented under the condition of being adjusted according to the specific function data in the holographic function display image;

[0034] In response to a function confirmation instruction for the customized function display image, a space application execution instruction, a space environment adjustment instruction and a bio-emotion adjustment instruction are generated according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the bio-emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

[0035] The above-mentioned interactive method, device, computer equipment, storage medium and computer program product based on the Internet of Things platform obtain the environmental perception data, biological perception data and emotional perception data of the target space by responding to the spatial operation instructions of the target object; when executing the spatial operation instructions, spatial projection modeling is performed according to the environmental perception data, biological perception data and emotional perception data, and a holographic space display image of the target space is presented; when responding to the spatial function optimization instructions for the target space, the function adjustment is performed according to the spatial function data in the holographic space display image, and a holographic function display image of the target space is presented; when responding to the spatial function customization instructions for the target space, the adjustment is performed according to the specific function data in the holographic function display image, and a customized function display image of the target space is presented; in response to the function confirmation instructions for the customized function display image, a spatial application execution instruction, a spatial environment adjustment instruction and a biological emotion adjustment instruction are generated according to the customized function display image; the spatial application execution instruction, the spatial environment adjustment instruction and the biological emotion adjustment instruction are used for the Internet of Things platform to adjust the spatial equipment of the target space.

[0036] By acquiring the environmental perception data, biological perception data and emotional perception data of the target space, combined with spatial projection modeling technology, the holographic display image of the target space is presented in real time, allowing users to intuitively observe and optimize spatial functions. In response to spatial function optimization and customization instructions, the system makes fine adjustments based on the functional data in the holographic display image, and generates corresponding spatial application execution instructions, spatial environment adjustment instructions and biological emotion adjustment instructions. This process not only improves the intelligent management capabilities of the IoT platform for spatial equipment, but also effectively improves the overall interaction efficiency in the interaction process between the IoT platform and the target object, ensures the accuracy and efficiency of spatial operations, and significantly improves user experience and environmental adaptability, meets personalized needs, and enhances the comfort and functionality of the space, thereby achieving comprehensive optimization of the spatial environment and active regulation of user emotions. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 An application environment diagram of an interactive method based on an Internet of Things platform in an embodiment;

[0038] Figure 2 A schematic diagram of a flow chart of an interactive method based on an Internet of Things platform in an embodiment;

[0039] Figure 3 It is a flowchart of a method for presenting images in a holographic space display according to an embodiment;

[0040] Figure 4 A schematic diagram of a flow chart of a method for obtaining object emotion prediction data in one embodiment;

[0041] Figure 5 It is a flowchart of a method for presenting images in a holographic space display according to another embodiment;

[0042] Figure 6 A schematic diagram of a flow chart of a method for identifying negative emotion optimization space functions in one embodiment;

[0043] Figure 7 A schematic diagram of a flow chart of a method for identifying a positive emotion optimization spatial function in one embodiment;

[0044] Figure 8 A schematic diagram of a process of presenting a customized function display image in one embodiment;

[0045] Fig. 9 is a structural block diagram of an interactive device based on an Internet of Things platform in an embodiment;

[0046] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] The embodiment of the present application provides an interactive method based on an Internet of Things platform, which can be applied to Figure 1In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The server 104 responds to the spatial operation instruction input by the target object in the terminal 102, and obtains the environmental perception data, biological perception data and emotional perception data of the target space; when executing the spatial operation instruction, the holographic spatial display image of the target space is presented in the case of spatial projection modeling according to the environmental perception data, biological perception data and emotional perception data; when responding to the spatial function optimization instruction for the target space, the holographic function display image of the target space is presented in the case of functional adjustment according to the spatial function data in the holographic spatial display image; when responding to the spatial function customization instruction for the target space, the customized function display image of the target space is presented in the case of adjustment according to the specific function data in the holographic function display image; in response to the function confirmation instruction for the customized function display image, the spatial application execution instruction, the spatial environment adjustment instruction and the biological emotion adjustment instruction are generated according to the customized function display image; the spatial application execution instruction, the spatial environment adjustment instruction and the biological emotion adjustment instruction are used for the Internet of Things platform to adjust the spatial device of the target space. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0049] In one embodiment, Figure 2 As shown, an interactive method based on the Internet of Things platform is provided, and the method is applied to Figure 1 The server in the example is used to illustrate the following steps:

[0050] Step 202, in response to the space operation instruction of the target object, obtain the environment perception data, biological perception data and emotion perception data of the target space.

[0051] The target object may be a person or animal that operates the Internet of Things platform through a terminal (touch screen, key terminal, sensor, etc.).

[0052] Among them, the space operation instruction can be an instruction sent to the Internet of Things platform through the terminal, and control the Internet of Things platform to operate any device in a certain space.

[0053] Among them, the target space can be a scene where the target object is controlled through instructions and the Internet of Things platform.

[0054] The environmental perception data may be data about the environment of the target space collected from the target space by sensors.

[0055] Among them, the biosensing data can be physiological data about people or animals in the target space collected from the target space by sensors.

[0056] The emotion perception data may be emotion data of people or animals in the target space collected from the target space by sensors.

[0057] Specifically, when the target object sends a spatial operation instruction for operating the target space to the IoT platform with the server 104 through the terminal 102, the IoT platform collects environmental perception data (such as temperature, humidity, light intensity, etc.), biological perception data (such as heart rate, breathing rate, etc.) and emotional perception data (such as facial expressions, voice intonation, etc.) in real time through various sensors and devices integrated in the target space. Among them, the collection of environmental perception data is carried out through devices such as temperature sensors, humidity sensors and light intensity sensors. These sensors are arranged at various key positions in the space to monitor environmental conditions in real time; the collection of biological perception data relies on wearable devices and biosensors, such as heart rate monitors and breathing rate sensors, which can be worn on the target object to provide accurate physiological data; the collection of emotional perception data uses facial recognition cameras and voice analyzers to identify the emotional state of the target object by analyzing its facial expressions and voice intonation.

[0058] Step 204, when executing the spatial operation instruction and performing spatial projection modeling according to the environmental perception data, the biological perception data and the emotional perception data, a holographic spatial display image of the target space is presented.

[0059] Among them, the holographic space display image can be an image that displays the comprehensive processing results of various different perception data through spatial projection modeling.

[0060] Specifically, while the IoT platform continues to execute spatial operation instructions, the IoT platform uses the central processing system to conduct detailed comprehensive analysis and processing of the collected environmental perception data (such as temperature, humidity, and light), biological perception data (such as heart rate and breathing rate), and emotional perception data (such as facial expressions and voice intonation). The specific processing process includes data preprocessing (such as data cleaning and denoising), feature extraction (such as identifying key data points and patterns), data fusion (integrating data from different sources to form a complete spatial state diagram), and model construction (generating a three-dimensional model of the target space that incorporates various perception data), wherein the three-dimensional model includes initial real-time operation data and initial real-time operation modules for controlling various spatial devices in the target space to meet the needs of the spatial operation instructions of the target object. After receiving the processed and modeled three-dimensional model, the spatial projection modeling module of the IoT platform transmits the data to the spatial projection modeling terminal and projects it into the physical space to generate a high-precision holographic spatial display image.

[0061] Step 206: In response to the spatial function optimization instruction for the target space, the holographic function display image of the target space is presented while performing function adjustment according to the spatial function data in the holographic space display image.

[0062] Among them, the space function optimization instruction can be an optimization instruction issued by the target object to the Internet of Things platform through the terminal regarding the use of the functions of different space devices in the target space (parts).

[0063] The spatial function data may be part of the control data regarding the function of the spatial device in the data used to generate the holographic spatial presentation image.

[0064] The holographic function display image may be an image that displays data obtained by optimizing the spatial function data in the holographic space display image by means of spatial projection modeling.

[0065] Specifically, the target object sends a spatial function optimization instruction for operating the target space to the Internet of Things platform with the server 104 through the terminal 102, and the Internet of Things platform recognizes and extracts the specific function data therein through the holographic function display image, and then the Internet of Things platform optimizes the specific function data according to the spatial function optimization instruction, and updates the three-dimensional model to reflect the functional changes required by the spatial function optimization instruction, wherein the updated three-dimensional model includes updated real-time operation data and updated real-time operation modules for controlling various spatial devices in the target space to meet the needs of the spatial function optimization instruction of the target object. The spatial projection modeling module of the Internet of Things platform receives the updated three-dimensional model, transmits the data to the spatial projection modeling terminal and projects it into the physical space, generating a high-precision holographic function display image.

[0066] Step 208, in response to the spatial function customization instruction for the target space, presenting the customized function display image of the target space while adjusting according to the specific function data in the holographic function display image.

[0067] Among them, the space function customization instruction can be an instruction issued by the target object to the Internet of Things platform through the terminal to add specific functions to different space devices in the target space.

[0068] Among them, the specific function data can be the part of the customized parameters about the function of the spatial equipment in the data used to generate the holographic function display image. When no specific function instruction is received, this part is an empty set.

[0069] The customized function display image may be an image that displays data obtained by specially defining the spatial function data in the holographic function display image by means of spatial projection modeling.

[0070] Specifically, the target object sends a spatial function customization instruction for operating the target space to the IoT platform with the server 104 through the terminal 102, and the IoT platform recognizes and extracts the specific function data through the holographic function display image, and then the IoT platform customizes the specific function data based on the spatial function customization instruction, and covers the updated three-dimensional model to reflect the functional changes required by the spatial function customization instruction, wherein the customized three-dimensional model includes customized real-time operation data and customized real-time operation modules for controlling various spatial devices in the target space to meet the needs of the spatial function customization instruction of the target object. The spatial projection modeling module of the IoT platform receives the customized three-dimensional model, transmits the data to the spatial projection modeling terminal and projects it into the physical space, and generates a high-precision customized function display image.

[0071] Step 210, in response to the function confirmation instruction for the customized function display image, generate a space application execution instruction, a space environment adjustment instruction, and a biological emotion adjustment instruction according to the customized function display image.

[0072] The function confirmation instruction may be confirmation information of the manipulation of various (parts of) space devices of the target space displayed by the customized function display image.

[0073] Among them, the space application execution instruction can be an instruction sent by the Internet of Things platform to the execution module to perform relevant operations on each (part) application program in the target space.

[0074] Among them, the space environment adjustment instruction can be an instruction sent by the Internet of Things platform to the execution module to perform relevant operations on each (part) of the environment adjustment equipment in the target space.

[0075] Among them, the biological emotion adjustment instruction can be an instruction sent by the Internet of Things platform to the execution module to perform relevant operations on each (part) of the emotion adjustment equipment in the target space, where some space equipment is both environmental adjustment equipment and emotion adjustment equipment, such as lighting systems, music systems, ventilation systems, etc.

[0076] Specifically, the target object sends a function confirmation instruction for confirming the function of the customized function display image to the Internet of Things platform with the server 104 through the terminal 102. The Internet of Things platform analyzes the customized function display image to confirm the spatial layout and function adjustment approved by the user. Then, the Internet of Things platform generates a series of instructions according to the analysis results, including spatial application execution instructions, spatial environment adjustment instructions, and biological emotion adjustment instructions. The spatial application execution instructions, spatial environment adjustment instructions, and biological emotion adjustment instructions are used by the Internet of Things platform to adjust the spatial equipment of the target space. For example, the spatial application execution instructions are responsible for starting and controlling related equipment and applications, the spatial environment adjustment instructions are used to adjust environmental parameters such as temperature, humidity, and light, and the biological emotion adjustment instructions optimize the user's emotional experience by adjusting music, light color, etc. These instructions are sent to the corresponding spatial equipment through the Internet of Things platform to achieve intelligent and personalized adjustment of the target space.

[0077] In the above-mentioned interaction method based on the Internet of Things platform, the environmental perception data, biological perception data and emotional perception data of the target space are obtained by responding to the spatial operation instructions of the target object; when executing the spatial operation instructions, spatial projection modeling is performed according to the environmental perception data, biological perception data and emotional perception data, and a holographic space display image of the target space is presented; in response to the spatial function optimization instructions for the target space, the function is adjusted according to the spatial function data in the holographic space display image, and a holographic function display image of the target space is presented; in response to the spatial function customization instructions for the target space, the customized function display image of the target space is presented according to the specific function data in the holographic function display image; in response to the function confirmation instructions for the customized function display image, a spatial application execution instruction, a spatial environment adjustment instruction and a biological emotion adjustment instruction are generated according to the customized function display image; the spatial application execution instruction, the spatial environment adjustment instruction and the biological emotion adjustment instruction are used for the Internet of Things platform to adjust the spatial equipment of the target space.

[0078] By acquiring the environmental perception data, biological perception data and emotional perception data of the target space, combined with spatial projection modeling technology, the holographic display image of the target space is presented in real time, allowing users to intuitively observe and optimize spatial functions. In response to spatial function optimization and customization instructions, the system makes fine adjustments based on the functional data in the holographic display image, and generates corresponding spatial application execution instructions, spatial environment adjustment instructions and biological emotion adjustment instructions. This process not only improves the intelligent management capabilities of the IoT platform for spatial equipment, but also effectively improves the overall interaction efficiency in the interaction process between the IoT platform and the target object, ensures the accuracy and efficiency of spatial operations, and significantly improves user experience and environmental adaptability, meets personalized needs, and enhances the comfort and functionality of the space, thereby achieving comprehensive optimization of the spatial environment and active regulation of user emotions.

[0079] In one embodiment, Figure 3 As shown, when executing the spatial operation instruction and performing spatial projection modeling according to the environmental perception data, biological perception data and emotional perception data, a holographic spatial display image of the target space is presented, including:

[0080] Step 302, execute the space operation instruction, construct the space function of the target space according to the environmental perception data, and obtain the initial space construction data.

[0081] The initial space construction data may be a digital three-dimensional space constructed by the environmental information of the target space, without adding data that changes in the space.

[0082] Specifically, while the IoT platform continues to execute spatial operation instructions, based on the environmental perception data, the sensors integrated in the target space of the IoT platform collect environmental perception data (such as temperature, humidity, light, etc.) in real time, and then preprocess these data through the IoT platform, including data cleaning, denoising and standardization; then the IoT platform identifies and extracts the key environmental parameters of the preprocessed environmental perception data through feature extraction algorithms, and further designs the spatial layout based on the extracted feature data, optimizes the distribution and configuration of functional areas, and finally generates initial spatial construction data to form a detailed three-dimensional spatial model.

[0083] Step 304: predict the emotional changes of the target object based on the biological perception data and the emotional perception data to obtain object emotion prediction data.

[0084] The object emotion prediction data may be prediction data obtained by predicting the emotion changes of people or animals in the target space.

[0085] Specifically, the biosensing data and the emotion sensing data are preprocessed. After preprocessing steps such as data cleaning, denoising and standardization, the IoT platform uses advanced machine learning algorithms to extract features from the preprocessed data and identify key features and patterns that are closely related to emotion changes. The key features and patterns that are closely related to emotion changes are further input into a training emotion prediction model (such as a deep neural network or a support vector machine). The IoT model predicts the emotion changes of the target object based on real-time data and generates high-precision object emotion prediction data.

[0086] Step 306, using the object emotion prediction data, optimize the initial space construction data to obtain holographic space construction data.

[0087] The holographic space construction data may be a data set used to generate a holographic space display image.

[0088] Specifically, the object emotion prediction data is integrated with the initial space construction data, and then the key factors for optimizing the space function and environment are determined by identifying the correlation between emotion changes and space layout and environmental parameters. The Internet of Things platform further uses optimization algorithms (such as genetic algorithms or particle swarm optimization) to adjust the initial space construction data using the key factors for optimizing space functions and environment, optimize space layout, functional configuration and environmental parameters to maximize the user's emotional comfort and overall experience, generate holographic space construction data, and form an optimized three-dimensional space model, so that the target space displayed by spatial projection modeling not only meets the actual environmental conditions, but also can actively regulate the emotions of the target objects.

[0089] Step 308: Perform spatial projection modeling on the holographic space construction data to present a holographic space display image.

[0090] Specifically, the holographic space construction data is sent to the space projection modeling module of the Internet of Things platform, and the holographic space construction data is input into the space projection modeling device through the space projection modeling module. The device converts the three-dimensional space model data into a visual holographic image through a high-resolution laser projection system. The space projection modeling device uses optical interference and diffraction technology to holographically display the three-dimensional space model in the physical space and generate a holographic space display image.

[0091] In this embodiment, by combining environmental perception data, biological perception data and emotional perception data, the functional layout of the target space is constructed and optimized to achieve high personalization and dynamic adjustment. Through the prediction of emotional changes, the system can foresee and adjust the spatial functions to enhance the user's emotional experience. The spatial projection modeling technology presents the optimized spatial data in the form of holographic images, providing an intuitive and immersive user interaction experience. This process not only improves the scientificity and accuracy of spatial design, but also enhances the comfort and satisfaction of users, making spatial management more intelligent and humane.

[0092] In one embodiment, Figure 4 As shown, based on the biological perception data and the emotion perception data, the emotion change of the target object is predicted to obtain the object emotion prediction data, including:

[0093] Step 402 : Identify the target object's emotion fluctuation information from the biological perception data and the emotion perception data according to the target object's historical emotion data.

[0094] Among them, historical emotion data can be emotion data about the target object recorded by the IoT platform.

[0095] The emotion fluctuation information may be biological perception data and emotion perception data reflecting the emotion fluctuation of the target object.

[0096] Specifically, the IoT platform reads the historical emotion data of the target object from the database as a benchmark; through the feature extraction algorithm, the IoT platform identifies the key features and patterns related to emotion fluctuations from the biological perception data and emotion perception data; further using time series analysis, regression models or deep learning networks, the IoT platform analyzes and models the key features and patterns related to emotion fluctuations, and combines historical emotion data to accurately identify the target object's emotion fluctuation information, including emotion peaks, troughs and changing trends.

[0097] Step 404: Identify various emotional stimulation factors of the target object based on the environmental perception data and the historical emotional data.

[0098] Among them, emotional stimulation factors can be factors that cause the target object's emotions to change, especially factors that cause the target object's emotions to become negative, angry, etc.

[0099] Specifically, through feature extraction algorithms, the IoT platform identifies potential emotion stimulation features from environmental perception data and historical emotion data; further uses decision trees, random forests, or association rule mining to analyze various emotion stimulation features. The analysis process is that the IoT platform inputs the extracted feature data into the analysis model, and the analysis model predicts and classifies the new data to determine which environmental factors or physiological parameters have a significant impact on emotion changes, and obtains analysis results; the analysis results are used to establish a correlation model between environmental parameters and emotion changes, identify the emotional response patterns of the target objects under different environmental conditions, and finally determine the various emotion stimulation factors.

[0100] Step 406, obtaining the target object's emotional state temporal dynamics and emotional state transition information based on the emotional fluctuation information and various emotional stimulation factors.

[0101] Among them, the temporal dynamics of emotional states can be the temporal changes and development processes of emotional states, which include how emotions change over time and how emotional states at different time points are related to each other.

[0102] The emotional state transition information may be the specific details and patterns of the target object's emotional state transitioning from one state to another, including the frequency, triggering factors, duration, and transition path of the emotional transition.

[0103] Specifically, time series algorithms (such as ARIMA, LSTM, etc.) are used to model emotional fluctuation information to capture the changing trends and periodicity of emotional states; then, combined with emotional stimulus factors, the IoT platform analyzes the temporal distribution and influence of different stimulus factors, determines their effect on the transition of emotional states, generates emotional state time series dynamics, displays the changes of emotions over time, and generates emotional state transition information, showing the transition path and probability of emotions between different states.

[0104] Step 408: Analyze the emotional state temporal dynamics and emotional state transition information to obtain object emotion prediction data.

[0105] Specifically, a time series algorithm is used to capture the changing trends and periodicity of the temporal dynamics of emotional states, and a Markov chain model is used to analyze the transition probabilities and paths between emotional state transfer information. The calculated data of these two parts are combined and input into the emotion prediction model to predict the future emotional state changes of the target object and generate object emotion prediction data.

[0106] In this embodiment, by analyzing the historical emotional data, biosensing data, and emotional perception data of the target object, the system can accurately identify emotional fluctuation information and emotional stimulation factors, thereby understanding the key factors affecting the target object's emotions. Based on this data, the system generates emotional state temporal dynamics and emotional state transfer information, providing detailed emotional change trends and transfer paths. By further analyzing this information, the system can predict future emotional states. This method not only improves the accuracy and reliability of emotion prediction, but also provides a scientific basis for personalized emotion management and environmental optimization, helping to achieve more effective emotion regulation and improve user experience.

[0107] In one embodiment, Figure 5 As shown, in response to a spatial function optimization instruction for a target space, a holographic function display image of the target space is presented under the condition that a function adjustment is performed according to the spatial function data in the holographic space display image, including:

[0108] Step 502, in response to the spatial function optimization instruction for the target space, identifying the negative emotion optimization spatial function in the holographic space construction data according to the emotional stimulation factors.

[0109] Among them, the emotion negative optimization space function can be a function in the target space that has a negative impact on the emotion of the target object.

[0110] Specifically, the target object sends a spatial function optimization instruction for operating the target space to the Internet of Things platform with a server 104 through the terminal 102. The Internet of Things platform extracts features related to negative emotions caused by existing emotional stimuli from the holographic space construction data through data mining and pattern recognition algorithms, and performs correlation analysis in combination with the spatial layout and functional data to determine which spatial elements or configurations are related to negative emotional changes, and identify negative emotional optimization spatial functions.

[0111] Step 504, based on the emotional state temporal dynamics and emotional state transfer information, the data of the emotional negative optimization space function in the holographic space construction data is weakened to obtain the intermediate space construction data.

[0112] The intermediate space construction data may be data obtained by reducing the weight of the functional data of the holographic space construction data that causes emotional instability in the target object.

[0113] Specifically, the negative impact data of the identified negative optimization spatial functions of emotions in the holographic space construction data are analyzed by combining the temporal dynamics of emotional states and the information of emotional state transfer. By weighted weakening or attenuation of negative features, combined with the negative impact data, the IoT platform weakens these negative optimization functions to reduce their negative impact on the target object's emotions, which may include adjusting the spatial layout, changing the functional configuration, optimizing environmental parameters, etc., to weaken or eliminate negative emotional stimulus factors, and finally generate intermediate space construction data.

[0114] Step 506 , identifying the emotion-positive optimization space function in the intermediate space construction data based on the emotion fluctuation information and the historical emotion data.

[0115] Among them, the emotion-positive optimization space function can be a function in the target space that has a positive impact on the emotion of the target object.

[0116] Specifically, the IoT platform analyzes emotion fluctuation information and historical emotion data to identify key features and patterns related to positive emotions; matches the key features and patterns related to positive emotions with the intermediate space construction data, extracts spatial elements and configurations related to positive emotions through data mining and pattern recognition algorithms, verifies their effects in combination with historical emotion data, and identifies positive optimized spatial functions in the intermediate space construction data that can enhance the emotions of the target objects.

[0117] Step 508, based on the emotional state temporal dynamics and emotional state transfer information, the data of the emotionally positively optimized spatial function in the intermediate space construction data is enhanced to obtain holographic function display data.

[0118] The holographic function display data may be a data set used to generate a holographic function display image.

[0119] Specifically, through optimization algorithms (such as feature enhancement or weight boosting), the IoT platform enhances the spatial layout and functional configuration related to positive emotions in the intermediate space construction data, and optimizes environmental parameters (such as increasing natural light, adjusting color and layout) to achieve the strengthening of positive optimization functions to maximize their impact on the positive emotions of the target objects. When the above-mentioned enhanced information is combined with historical data to verify its effectiveness, holographic function display data is generated.

[0120] Step 510, perform spatial projection modeling on the holographic function display data to present a holographic function display image.

[0121] Specifically, the holographic function display data is sent to the spatial projection modeling module of the Internet of Things platform, and the holographic function display data is input into the spatial projection modeling device through the spatial projection modeling module. The device converts the three-dimensional spatial model data into a visual holographic image through a high-resolution laser projection system. The spatial projection modeling device uses optical interference and diffraction technology to holographically display the three-dimensional spatial model in the physical space and generate a holographic function display image.

[0122] In this embodiment, by responding to the function optimization instructions of the target space, the emotional negative optimization space functions in the holographic space construction data are identified and weakened by using emotional stimulation factors, thereby reducing the impact of negative emotions. Then, through emotional fluctuation information and historical emotional data, the emotional positive optimization space functions in the intermediate space construction data are identified and strengthened to maximize the impact of positive emotions. Finally, the holographic function display data is generated and presented through spatial projection modeling, so that users can intuitively experience the optimized spatial layout and functional configuration. This process effectively enhances the positive impact of the spatial environment on user emotions, improves user comfort and satisfaction, and enhances the intelligence and accuracy of space management.

[0123] In one embodiment, Figure 6 As shown, based on the emotional stimulus factors, the emotional negative optimization space functions in the holographic space construction data are identified, including:

[0124] Step 602: Use the environment perception data and the emotion perception data to adjust the historical emotion environment mapping relationship to obtain the current emotion environment mapping relationship.

[0125] The historical emotion environment mapping relationship may be a mapping relationship between historical emotion data and historical environment data.

[0126] The current emotion environment mapping relationship may be a mapping relationship between emotion perception data and historical environment data.

[0127] Specifically, the current emotion perception data (such as facial expressions, voice intonation, etc.) is compared and analyzed with the historical emotion data to find the difference in emotion data between the two. By preprocessing and extracting features of the environmental perception data and emotion perception data, the system identifies the influence pattern of the current environmental perception data on the emotion perception data. Using regression analysis or neural networks, the historical emotion-environment mapping relationship is adjusted in combination with the emotion data differences and the influence pattern to reflect the changes and trends of the current data and generate the current emotion-environment mapping relationship.

[0128] Step 604: Generate negative emotion optimization data of the target object according to the mapping relationship between the emotion stimulus factor and the current emotion environment.

[0129] Among them, the negative emotion optimization data can be the operation data of the spatial equipment that causes the target object's emotions to change in a negative direction.

[0130] Specifically, the role of emotional stimuli in the current environment is analyzed, and the degree of negative impact of emotional stimuli on emotions is determined in combination with the current emotional environment mapping relationship. Therefore, specific environmental factors and specific stimuli are identified that may lead to negative optimization of the target object's emotions. The specific environmental factors and specific stimuli are expressed in digital form to obtain emotional negative optimization data.

[0131] Step 606: Generate first spatial emotional thermal data of the target space according to the negative emotional optimization data.

[0132] Among them, the first spatial emotional thermal data can be thermal data representing the distribution of emotional negative optimization data in the target space.

[0133] Specifically, the negative emotion optimization data is input into the spatial sentiment analysis module, which performs spatial mapping on the negative emotion optimization data and identifies the location and influence range of each negative emotion stimulus. The IoT platform uses a heat map algorithm (such as kernel density estimation) to visualize the location and influence range of each negative emotion stimulus, generating an intuitive first spatial emotion thermal data, showing the degree of negative emotion optimization in different areas of the target space, and using color gradient data to indicate the strength of negative emotion impact.

[0134] Step 608, identifying the emotion-negative optimization space function from the holographic space construction data based on the first space emotional thermal data.

[0135] Specifically, the emotion negative optimization areas are identified through the first spatial emotion thermal data, and the spatial positions and functional characteristics corresponding to these emotion negative optimization areas are extracted; the Internet of Things platform matches these spatial positions and functional characteristics with the functional configurations in the holographic space construction data, and determines which spatial functions are associated with negative emotional influences through pattern recognition algorithms (such as cluster analysis or association rule mining), and identifies the emotion negative optimization spatial functions in the holographic space construction data that lead to emotion negative optimization.

[0136] In this embodiment, the historical emotional environment mapping relationship is adjusted by using environmental perception data and emotional perception data to generate the current emotional environment mapping relationship, thereby more accurately reflecting the impact of the current environment on emotions. Combined with the emotional stimulus factors and the current emotional environment mapping relationship, the emotional negative optimization data of the target object is generated, and the first spatial emotional thermal data is generated based on this, which intuitively displays the areas affected by negative emotions in the space. By analyzing the first spatial emotional thermal data, the system can identify emotional negative optimization space functions from the holographic space construction data. This method helps to accurately identify and optimize spatial functions that affect emotions, improve the emotional adaptability of the spatial environment and user comfort, and thus achieve more intelligent and humane space management.

[0137] In one embodiment, Figure 7 As shown, based on the emotional fluctuation information and historical emotional data, the emotional positive optimization space functions in the intermediate space construction data are identified, including:

[0138] Step 702: Generate the target object's emotion positive optimization data according to the emotion fluctuation information and the current emotion environment mapping relationship.

[0139] Among them, the emotion-positive optimization data may be the operation data of the spatial equipment that causes the target object's emotions to change in a positive direction.

[0140] Specifically, the role of emotion fluctuation information in the current environment is analyzed, and the degree of positive impact of emotion fluctuation information on emotions is determined in combination with the current emotion-environment mapping relationship. Therefore, specific environmental factors and specific fluctuation information are identified that may lead to positive optimization of the target object's emotions. The specific environmental factors and specific fluctuation information are expressed in digital form to obtain positive emotion optimization data.

[0141] Step 704: Generate second spatial emotional thermal data of the target space according to the emotional positive optimization data.

[0142] Among them, the second space emotional thermal data can be the distribution of emotional positive optimization data in the target space represented by thermal data.

[0143] Specifically, the positive emotion optimization data is input into the spatial emotion analysis module, which performs spatial mapping on the positive emotion optimization data and identifies the location and influence range of each positive emotion fluctuation information. The IoT platform uses a heat map algorithm (such as kernel density estimation) to visualize the location and influence range of each positive emotion fluctuation information, generating an intuitive second space emotion heat data, showing the degree of positive emotion optimization in different areas of the target space, and using color gradient data to indicate the strength of the positive emotion impact.

[0144] Step 706, identifying the emotion-positive optimization space function from the intermediate space construction data according to the second space emotion thermal data.

[0145] Specifically, emotion-positive optimization areas are identified through the emotion thermal data of the second space, and the spatial positions and functional characteristics corresponding to these emotion-positive optimization areas are extracted; the Internet of Things platform matches these spatial positions and functional characteristics with the functional configurations in the intermediate space construction data, and determines which spatial functions are associated with positive emotional influences through pattern recognition algorithms (such as cluster analysis or association rule mining), and identifies the emotion-positive optimization spatial functions in the intermediate space construction data that lead to positive emotion optimization.

[0146] In this embodiment, by combining the emotional fluctuation information and the current emotional environment mapping relationship, the emotional positive optimization data of the target object is generated, and the key environmental factors that can enhance the user's emotions are identified. Based on these positive optimization data, the system generates the emotional thermal data of the second space, and displays the areas in the space that have a positive impact on emotions in a visual way. By analyzing the emotional thermal data of the second space, the system can identify the emotionally positive optimization space functions from the intermediate space construction data. This process helps to accurately locate and strengthen the functional configuration in the space that is beneficial to the user's emotions, optimize the positive emotional impact of the spatial environment, and improve the user's comfort and satisfaction, thereby achieving more intelligent and humane space management.

[0147] In one embodiment, Figure 8 As shown, in response to a spatial function customization instruction for a target space, a customized function display image of the target space is presented under the condition of making adjustments according to specific function data in a holographic function display image, including:

[0148] Step 802, parse the spatial function customization instruction to determine the specific function adjustment target and specific function data.

[0149] Among them, the specific function adjustment target can be the target object's adjustment of the space equipment to add some specific functions.

[0150] Among them, the specific function data can be the data required by the target object to adjust the space equipment and add some specific functions.

[0151] Specifically, the text of the spatial function customization instruction is semantically analyzed to extract the specific function adjustment target required by the target object. Then, the IoT platform matches the specific function adjustment target with the function data in the holographic function display data, and determines the specific function data that needs to be adjusted through pattern recognition and association analysis.

[0152] Step 804: adjust the specific function data according to the specific function adjustment target to obtain intermediate customized function data.

[0153] The intermediate customized function data may be adjusted specific function data.

[0154] Specifically, the specific function adjustment target is compared with the existing specific function data to identify the function parameters that need to be modified; the IoT platform applies optimization algorithms (such as parameter adjustment, function enhancement or configuration change) to modify these parameters to ensure that the adjusted functions meet the needs of the target object and the optimization goals. Through iterative calculation and verification, the system generates customized intermediate customized function data.

[0155] Step 806 , performing light field rendering on the intermediate customized function data to obtain intermediate customized function rendering data.

[0156] Specifically, the intermediate customized function data is input into the light field rendering engine, and the propagation and interaction of light in space is calculated through the light field rendering algorithm. The reflection, refraction and scattering effects of light are accurately simulated by combining the ray tracing and ray synthesis methods of the light field rendering technology to generate realistic visual effects, and the intermediate customized function rendering data is output. These data include the rendered three-dimensional image and the corresponding lighting information.

[0157] Step 808 , when it is detected that the intermediate customized function rendering data does not contain negative emotion optimization space function, generate customized function display data according to the intermediate customized function data.

[0158] The customized function display data may be a data set used to generate a customized function display image.

[0159] Specifically, when it is detected that the intermediate customized function rendering data does not have negative emotion optimization space functions, the IoT platform uses the intermediate customized function data as a basis for further optimization and processing to generate the final customized function display data. The optimization process includes final verification and fine-tuning of the intermediate customized function data to ensure that all function configurations and layouts achieve the best results.

[0160] Step 810: Perform spatial projection modeling on the customized function display data to present a customized function display image.

[0161] Specifically, the customized function display data is sent to the spatial projection modeling module of the Internet of Things platform, and the customized function display data is input into the spatial projection modeling device through the spatial projection modeling module. The device converts the three-dimensional spatial model data into a visual holographic image through a high-resolution laser projection system. The spatial projection modeling device uses optical interference and diffraction technology to holographically display the three-dimensional spatial model in the physical space and generate a customized function display image.

[0162] In this embodiment, by parsing the spatial function customization instructions and accurately adjusting the functional data, the spatial configuration is ensured to be highly consistent with user needs; the light field rendering and detection steps provide intuitive visual feedback to ensure that the optimization effect does not produce negative emotional impact; finally, the customized function display image is presented through spatial projection modeling, allowing users to experience the optimization results in real time. This process not only improves the accuracy and effectiveness of spatial function adjustment, but also greatly reduces the negative emotional impact caused by improper function adjustment, improves user satisfaction and the overall comfort of the spatial environment, and enhances the flexibility and intelligence level of spatial design and management.

[0163] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0164] Based on the same inventive concept, the embodiment of the present application also provides an interactive device based on an Internet of Things platform for implementing the interactive method based on an Internet of Things platform involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more interactive devices based on an Internet of Things platform provided below can refer to the limitations of an interactive method based on an Internet of Things platform above, and will not be repeated here.

[0165] In one embodiment, Fig. 9 As shown, an interactive device based on an Internet of Things platform is provided, including: an operation instruction acquisition module 902, an Internet of Things platform interaction module 904 and a space equipment control module 906, wherein:

[0166] An operation instruction acquisition module 902 is used to acquire environmental perception data, biological perception data and emotional perception data of the target space in response to the spatial operation instruction of the target object;

[0167] The Internet of Things platform interaction module 904 is used to present a holographic space display image of the target space when executing the space operation instruction and performing space projection modeling according to the environmental perception data, the biological perception data and the emotional perception data;

[0168] The Internet of Things platform interaction module 904 is further used to present the holographic function display image of the target space in response to the spatial function optimization instruction for the target space and to perform function adjustment according to the spatial function data in the holographic space display image;

[0169] The Internet of Things platform interaction module 904 is further used to present the customized function display image of the target space in response to the spatial function customization instruction for the target space and under the condition of adjusting according to the specific function data in the holographic function display image;

[0170] The space device control module 906 is used to respond to the function confirmation instruction for the customized function display image, and generate space application execution instructions, space environment adjustment instructions and biological emotion adjustment instructions according to the customized function display image; the space application execution instructions, space environment adjustment instructions and biological emotion adjustment instructions are used by the Internet of Things platform to adjust the space devices of the target space.

[0171] In one embodiment, the Internet of Things platform interaction module 904 is also used to execute spatial operation instructions, construct the spatial function of the target space according to the environmental perception data, and obtain initial spatial construction data; predict the emotional changes of the target object according to the biological perception data and the emotional perception data, and obtain the object emotion prediction data; use the object emotion prediction data to optimize the initial spatial construction data to obtain holographic space construction data; perform spatial projection modeling on the holographic space construction data to present a holographic space display image.

[0172] In one embodiment, the Internet of Things platform interaction module 904 is also used to identify the target object's emotional fluctuation information from the biological perception data and the emotional perception data based on the target object's historical emotional data; identify the target object's various emotional stimulation factors based on the environmental perception data and the historical emotional data; obtain the target object's emotional state temporal dynamics and emotional state transition information based on the emotional fluctuation information and the various emotional stimulation factors; analyze the emotional state temporal dynamics and emotional state transition information to obtain the object's emotional prediction data.

[0173] In one embodiment, the Internet of Things platform interaction module 904 is also used to respond to the spatial function optimization instruction for the target space, identify the negative emotion optimization spatial function in the holographic space construction data according to the emotional stimulation factors; weaken the data of the negative emotion optimization spatial function in the holographic space construction data according to the emotional state temporal dynamics and the emotional state transfer information to obtain the intermediate space construction data; identify the positive emotion optimization spatial function in the intermediate space construction data according to the emotional fluctuation information and the historical emotional data; strengthen the data of the positive emotion optimization spatial function in the intermediate space construction data according to the emotional state temporal dynamics and the emotional state transfer information to obtain the holographic function display data; perform spatial projection modeling on the holographic function display data to present the holographic function display image.

[0174] In one embodiment, the Internet of Things platform interaction module 904 is also used to use environmental perception data and emotional perception data to adjust the historical emotional environment mapping relationship to obtain the current emotional environment mapping relationship; the historical emotional environment mapping is the mapping relationship between historical emotional data and historical environmental data; based on the emotional stimulus factors and the current emotional environment mapping relationship, the emotional negative optimization data of the target object is generated; based on the emotional negative optimization data, the first spatial emotional thermal data of the target space is generated; based on the first spatial emotional thermal data, the emotional negative optimization space function is identified from the holographic space construction data.

[0175] In one embodiment, the Internet of Things platform interaction module 904 is also used to generate emotional positive optimization data of the target object based on the emotional fluctuation information and the current emotional environment mapping relationship; generate second space emotional thermal data of the target space based on the emotional positive optimization data; and identify the emotional positive optimization space function from the intermediate space construction data based on the second space emotional thermal data.

[0176] In one embodiment, the Internet of Things platform interaction module 904 is also used to parse the spatial function customization instructions, determine the specific function adjustment target and the specific function data; adjust the specific function data according to the specific function adjustment target to obtain intermediate customized function data; perform light field rendering on the intermediate customized function data to obtain intermediate customized function rendering data; when it is detected that the intermediate customized function rendering data does not have an emotionally negative optimized spatial function, generate customized function display data according to the intermediate customized function data; perform spatial projection modeling on the customized function display data to present a customized function display image.

[0177] Each module in the above-mentioned interactive device based on the Internet of Things platform can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0178] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig.10 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store server data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an interactive method based on an Internet of Things platform is implemented.

[0179] Those skilled in the art will understand that Fig.10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0180] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0181] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0182] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-mentioned method embodiments.

[0183] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0184] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0185] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0186] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An interactive method based on an Internet of Things platform, characterized in that: The method comprises: In response to the spatial operation instruction of the target object, acquiring environmental perception data, biological perception data and emotional perception data of the target space; When executing the space operation instruction and performing holographic projection according to the environmental perception data, the biological perception data, and the emotional perception data, a holographic space display image of the target space is presented; Wherein, when executing the space operation instruction and performing holographic projection according to the environmental perception data, the biological perception data and the emotional perception data, presenting a holographic space display image of the target space includes: Executing the space operation instruction, constructing the space function of the target space according to the environment perception data, and obtaining initial space construction data; Predicting the emotional changes of the target object according to the biological perception data and the emotional perception data to obtain object emotional prediction data; The step of predicting the emotional changes of the target object based on the biological perception data and the emotional perception data to obtain the object emotional prediction data includes: According to the historical emotional data of the target object, identifying the emotional fluctuation information of the target object from the biological perception data and the emotional perception data; Identifying various emotional stimulation factors of the target object according to the environmental perception data and the historical emotional data; According to the emotion fluctuation information and each of the emotion stimulation factors, obtaining the target object's emotion state temporal dynamics and emotion state transition information; Analyzing the emotional state temporal dynamics and the emotional state transition information to obtain the object emotion prediction data; Using the object emotion prediction data, optimizing the initial space construction data to obtain holographic space construction data; Holographically projecting the holographic space construction data to present the holographic space display image; In response to the spatial function optimization instruction for the target space, under the condition of performing function adjustment according to the spatial function data in the holographic spatial display image, presenting the holographic function display image of the target space; Wherein, in response to the spatial function optimization instruction for the target space, the presenting of the holographic function display image of the target space comprises: In response to a spatial function optimization instruction for the target space, identifying an emotionally negative optimized spatial function in the holographic space construction data according to the emotional stimulus factor; According to the emotional state temporal dynamics and the emotional state transfer information, the data of the emotional negative optimization space function in the holographic space construction data is weakened to obtain the intermediate space construction data; According to the emotion fluctuation information and the historical emotion data, identifying that the emotion in the intermediate space construction data is positively optimizing the space function; According to the emotional state temporal dynamics and the emotional state transfer information, the data of the emotionally positive optimization space function in the intermediate space construction data is enhanced to obtain holographic function display data; Performing holographic projection on the holographic function display data to present the holographic function display image; In response to the spatial function customization instruction for the target space, the customized function display image of the target space is presented under the condition of being adjusted according to the specific function data in the holographic function display image; The presenting of the customized function display image of the target space in response to the spatial function customization instruction for the target space and adjusting according to the specific function data in the holographic function display image comprises: Parsing the spatial function customization instruction to determine a specific function adjustment target and the specific function data; Adjusting the specific function data according to the specific function adjustment target to obtain intermediate customized function data; Performing light field rendering on the intermediate customized function data to obtain intermediate customized function rendering data; In the case where it is detected that the negative emotion optimization space function does not appear in the intermediate customized function rendering data, generating customized function display data according to the intermediate customized function data; Performing holographic projection on the customized function display data to present the customized function display image; In response to a function confirmation instruction for the customized function display image, a space application execution instruction, a space environment adjustment instruction and a bio-emotion adjustment instruction are generated according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the bio-emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

2. The method according to claim 1, characterized in that The step of identifying the negative emotion optimization space function in the holographic space construction data according to the emotional stimulus factors includes: Using the environment perception data and the emotion perception data, adjusting the historical emotion environment mapping relationship to obtain a current emotion environment mapping relationship; the historical emotion environment mapping is a mapping relationship between the historical emotion data and the historical environment data; Generate negative emotion optimization data of the target object according to the mapping relationship between the emotion stimulus factor and the current emotion environment; Generate first spatial emotional thermal data of the target space according to the emotional negative optimization data; According to the first spatial emotional thermal data, the emotion negative optimization spatial function is identified from the holographic space construction data.

3. The method according to claim 2, characterized in that The step of identifying the emotion-positive optimization space function in the intermediate space construction data according to the emotion fluctuation information and the historical emotion data includes: Generate the target object's emotion-positive optimization data according to the emotion fluctuation information and the current emotion environment mapping relationship; Generate second spatial emotional thermal data of the target space according to the emotional positive optimization data; According to the second spatial emotional thermal data, the emotion is identified from the intermediate spatial construction data to optimize the spatial function.

4. An interactive device based on the Internet of Things platform, characterized in that: The device comprises: An operation instruction acquisition module, used to respond to the spatial operation instruction of the target object and acquire the environmental perception data, biological perception data and emotional perception data of the target space; An Internet of Things platform interaction module, configured to present a holographic space display image of the target space while executing the space operation instruction and performing holographic projection according to the environmental perception data, the biological perception data, and the emotional perception data; Wherein, when executing the space operation instruction and performing holographic projection according to the environmental perception data, the biological perception data and the emotional perception data, presenting a holographic space display image of the target space includes: Executing the space operation instruction, constructing the space function of the target space according to the environment perception data, and obtaining initial space construction data; Predicting the emotional changes of the target object according to the biological perception data and the emotional perception data to obtain object emotional prediction data; The step of predicting the emotional changes of the target object based on the biological perception data and the emotional perception data to obtain the object emotional prediction data includes: According to the historical emotional data of the target object, identifying the emotional fluctuation information of the target object from the biological perception data and the emotional perception data; Identifying various emotional stimulation factors of the target object according to the environmental perception data and the historical emotional data; According to the emotion fluctuation information and each of the emotion stimulation factors, obtaining the target object's emotion state temporal dynamics and emotion state transition information; Analyzing the emotional state temporal dynamics and the emotional state transition information to obtain the object emotion prediction data; Using the object emotion prediction data, optimizing the initial space construction data to obtain holographic space construction data; Holographically projecting the holographic space construction data to present the holographic space display image; The Internet of Things platform interaction module is further used to present the holographic function display image of the target space in response to the spatial function optimization instruction for the target space and to perform function adjustment according to the spatial function data in the holographic space display image; Wherein, in response to the spatial function optimization instruction for the target space, the presenting of the holographic function display image of the target space comprises: In response to a spatial function optimization instruction for the target space, identifying an emotionally negative optimized spatial function in the holographic space construction data according to the emotional stimulus factor; According to the emotional state temporal dynamics and the emotional state transfer information, the data of the emotional negative optimization space function in the holographic space construction data is weakened to obtain the intermediate space construction data; According to the emotion fluctuation information and the historical emotion data, identifying that the emotion in the intermediate space construction data is positively optimizing the space function; According to the emotional state temporal dynamics and the emotional state transfer information, the data of the emotionally positive optimization space function in the intermediate space construction data is enhanced to obtain holographic function display data; Performing holographic projection on the holographic function display data to present the holographic function display image; The Internet of Things platform interaction module is further used to present the customized function display image of the target space in response to the spatial function customization instruction for the target space and under the condition of adjusting according to the specific function data in the holographic function display image; The presenting of the customized function display image of the target space in response to the spatial function customization instruction for the target space and adjusting according to the specific function data in the holographic function display image comprises: Parsing the spatial function customization instruction to determine a specific function adjustment target and the specific function data; Adjusting the specific function data according to the specific function adjustment target to obtain intermediate customized function data; Performing light field rendering on the intermediate customized function data to obtain intermediate customized function rendering data; In the case where it is detected that the negative emotion optimization space function does not appear in the intermediate customized function rendering data, generating customized function display data according to the intermediate customized function data; Performing holographic projection on the customized function display data to present the customized function display image; A space device control module is used to respond to a function confirmation instruction for the customized function display image, and generate a space application execution instruction, a space environment adjustment instruction and a biological emotion adjustment instruction according to the customized function display image; the space application execution instruction, the space environment adjustment instruction and the biological emotion adjustment instruction are used by the Internet of Things platform to adjust the space equipment of the target space.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

Images