Air conditioner wind shield control method and device based on AR glasses and electronic equipment

Abstract

This application provides a method, device, and electronic device for controlling an air conditioner deflector based on AR glasses, relating to the field of data processing. The method involves: acquiring indoor temperature distribution data sent by AR glasses; integrating the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor heat map; calculating the first projection distance and first diffusion range of the air from the air conditioner deflector at a current angle to obtain a first simulation result, which is then displayed on the indoor heat map using AR glasses; determining the user's intent regarding the first simulation result, as the user is wearing AR glasses; calculating the second projection distance and second diffusion range of the air from the air conditioner deflector at a target angle based on the user's intent, which includes the target angle; and displaying the second simulation result to the user on the indoor heat map using AR glasses. Implementing the technical solution provided in this application facilitates improved control efficiency of the air conditioner deflector.

Description

Technical Field

[0001] This application relates to the field of data processing technology, specifically to an air conditioner deflector control method, device, and electronic device based on AR glasses. Background Technology

[0002] Air conditioners are an indispensable electrical appliance in modern homes and commercial spaces, and are widely used in homes, office buildings, shopping malls, industrial plants and other places. Their core function is to regulate indoor temperature, humidity and air circulation to provide people with a comfortable indoor environment.

[0003] Currently, in the use of traditional air conditioners, the air deflector is mainly controlled via remote control or smartphone. This control method is usually based on a fixed preset angle or simple airflow direction switching. However, since users cannot visually see the change in airflow after the air deflector is adjusted in a fixed way, they can only judge the adjustment effect through sensory experience. This trial-and-error operation process consumes a lot of time, resulting in low control efficiency of the air conditioner air deflector.

[0004] Therefore, there is an urgent need for a method, device, and electronic device for controlling air conditioning deflectors based on AR glasses. Summary of the Invention

[0005] This application provides a method, device, and electronic device for controlling an air conditioner deflector based on AR glasses, which facilitates improved control efficiency of the air conditioner deflector.

[0006] A first aspect of this application provides a method for controlling an air conditioner deflector based on AR glasses. The method includes: acquiring indoor temperature distribution data sent by AR glasses; integrating the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor heat map; calculating a first projection distance and a first diffusion range of air from the air conditioner deflector at a current angle to obtain a first simulation result, and displaying the first simulation result on the indoor heat map through the AR glasses; determining a user intent sent by the AR glasses regarding the first simulation result, wherein the user is wearing the AR glasses; calculating a second projection distance and a second diffusion range of air from the air conditioner deflector at a target angle based on the user intent to obtain a second simulation result, wherein the user intent includes the target angle; and displaying the second simulation result to the user on the indoor heat map through the AR glasses.

[0007] By employing the aforementioned technical solution, indoor temperature distribution data transmitted through AR glasses is acquired and combined with a preset 3D indoor model to generate a heat map. This allows users to clearly and intuitively understand the temperature distribution and areas of uneven heating within the room. Compared to traditional methods relying on single-point temperature sensors, this approach achieves global monitoring of indoor temperature, providing data support for subsequent optimization of air conditioner deflectors. It avoids over-reliance on experience in adjusting air conditioning, allowing users to perceive and adjust the indoor temperature based on the heat map. By calculating the first projection distance and first diffusion range of the deflector at the current angle, a simulation of the cold air path is generated, allowing users to intuitively see the direction and coverage area of ​​airflow. This simulation is overlaid on the heat map in real-time through AR glasses, solving the problem of users not being able to intuitively perceive the cold air distribution in traditional air conditioning adjustments. The system quickly calculates the second projection distance and diffusion range at the target angle based on user intent, generating an optimized second simulation result, which is then displayed again through AR glasses. This process effectively avoids cumbersome manual adjustments, simplifies the interaction process, and meets users' needs for personalized and intuitive operation. By simulating the path of cold air at different angles, the system can find the optimal deflector setting, ensuring that cold air quickly reaches the user's designated area and reducing energy waste. This improves the efficiency of air conditioning use and avoids problems such as over-cooling or uneven cold air coverage, thus enhancing the overall user comfort. Therefore, it facilitates improved control efficiency of the air conditioning deflector.

[0008] Optionally, the step of integrating the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor heat map specifically includes: performing a 3D scan of the interior using the SLAM component of the AR glasses to obtain 3D scan data, which includes the coordinates of furniture positions, obstacles, and air conditioner positions; constructing the preset indoor 3D model based on the 3D scan data; and marking high-temperature areas, cold air blind spots, and existing cold air coverage areas in the preset indoor 3D model based on the indoor temperature distribution to generate the indoor heat map.

[0009] By employing the aforementioned technical solution, 3D scanning of the indoor environment using the SLAM component of AR glasses can accurately capture the positions of furniture, the distribution of obstacles, and the coordinates of air conditioners. This process does not rely on existing indoor structural data and can dynamically adapt to different indoor environments, making it particularly suitable for scenarios where furniture positions frequently change or layouts are complex. Precise 3D modeling provides a reliable spatial foundation for subsequent operations such as cold air path simulation and wind deflector optimization. It solves the problem of traditional air conditioning regulation lacking understanding of the indoor environment, making air conditioning regulation more intelligent and adaptable to different scenarios. Through real-time generated 3D scan data, a dynamic indoor 3D model is constructed, avoiding the limitations of fixed models that cannot adapt to the actual environment. This model includes the positional information of all key indoor objects, such as furniture and obstacles, comprehensively reflecting the spatial layout. Compared to static preset models, dynamically constructed models offer greater flexibility and accuracy. Based on indoor temperature distribution data, high-temperature areas, cold air blind spots, and existing cold air coverage areas are marked in the preset 3D model, and the generated heat map dynamically reflects the relationship between indoor temperature and space. The fusion of multi-dimensional data not only displays the room's temperature status but also allows users to intuitively see blind spots in cold air flow, providing clear directions for optimization. Through the overlay of 3D models, the locations of high-temperature areas and cold air blind spots are more clearly defined, facilitating quick user understanding. Compared to simply displaying temperature distribution using numbers or simple floor plans, 3D heat maps are more intuitive and vivid, providing users with comprehensive feedback on the indoor environment.

[0010] Optionally, the first projection distance is calculated using the following formula:

[0011]

[0012] Where L is the first projection distance, v is the air conditioner's air outlet speed, α is the current angle of the air conditioner's deflector, g is the acceleration due to gravity, and C... drag This is the air resistance correction factor.

[0013] By adopting the above technical solution and introducing the current angle α of the baffle, the formula can dynamically adapt to the airflow direction at different angles, making it suitable for various baffle settings and adjustments. The air outlet velocity v is one of the core parameters of air conditioning operation, and together with the baffle angle, it determines the initial kinetic energy of the cold air. The formula considers these two key parameters, making the calculation results more practical. Air resistance correction coefficient C dragThis bridges the gap between the ideal model and the actual environment, allowing for adjustments based on specific conditions and improving the environmental adaptability of the results. The dynamic nature of the formula allows the system to calculate the projection distance in real time based on changes in the baffle angle and airflow speed, ensuring that the adjustment process is reflected in the simulation results immediately. Users can see the new projection distance after adjusting the angle and wind speed in real time through AR glasses, avoiding blind adjustments caused by the invisibility of the results. This improves the efficiency of user interaction with the air conditioner, shortens the time cycle from adjustment to cold air flow optimization, and enhances the intuitiveness of the adjustment process. The accurate calculation of the projection distance helps the system simulate the specific location where cold air arrives, thereby optimizing the baffle angle setting and ensuring that cold air covers the user's designated area. This reduces the problem of excessive or insufficient coverage that may occur with traditional manual adjustments, improving the accuracy and targeting of cold air flow.

[0014] Optionally, the first diffusion range is calculated using the following formula:

[0015]

[0016] Where R is the first diffusion range, k is the temperature diffusion coefficient, A is the air outlet area of ​​the air conditioner, and T room Indoor ambient temperature, T outlet This refers to the air outlet temperature of the air conditioner.

[0017] By adopting the above technical solution, the outlet temperature T outlet and indoor temperature T room It can be dynamically updated to reflect real-time changes in air conditioner operation and indoor environment. When the room temperature is high, the formula calculates a larger diffusion range, and vice versa, adapting to different usage scenarios in real time. This improves the air conditioner's scenario adaptability, enabling it to respond more intelligently to changes in ambient temperature, thereby optimizing the user experience. The temperature diffusion coefficient k is a core parameter in aerodynamics, describing the ability of cold air to mix and diffuse with surrounding hot air. By introducing this parameter, the formula can more accurately reflect the complex dynamics of the actual diffusion process. The outlet area A reflects the intensity and distribution range of the air conditioner's airflow and is directly related to the diffusion distance. Including it in the formula ensures applicability to different models of air conditioners. Introducing a dynamic correction factor makes the diffusion range calculation results more accurate, enhancing the universality and reliability of the calculation model. Accurate calculation of the cold air diffusion range helps the air conditioner more effectively cover the target area, avoiding excessive cold air diffusion leading to energy waste or insufficient diffusion leading to inadequate cooling. Users can visually check whether the diffusion range meets expectations through AR glasses and adjust the baffle angle or airflow as needed to quickly optimize the cold air coverage effect.

[0018] Optionally, determining the user intent sent by the AR glasses regarding the first simulation result specifically includes: receiving gaze point data sent by the AR glasses for the user; determining the gaze area based on the gaze point data; obtaining the user's gaze duration for the gaze area; and determining the user intent based on the gaze area and the gaze duration.

[0019] By employing the above technical solution, the system analyzes the user's attention area using gaze point data and gaze duration to accurately capture user intent, avoiding the possibility of misoperation through button or gesture input in traditional interaction methods. The introduction of gaze duration distinguishes between brief and sustained user attention, enabling the system to more accurately determine the user's true needs. This improves the accuracy of user intent recognition, providing a more reliable basis for subsequent adjustments to the air conditioner's deflector. It avoids misjudgments or unnecessary operations, enhancing the reliability of intelligent control. This method relies entirely on the existing functions of AR glasses, requiring no additional sensors or input devices from the user, reducing hardware dependence. Users can interact simply through natural gaze behavior, without additional learning or complex operations. This simplifies the user operation process, making the use of smart air conditioners more intuitive and aligning with the trend of seamless intelligent interaction. It enhances the user experience, making it particularly suitable for smart home users who desire convenient and natural operation. The area the user gazes at is the target area of ​​attention; by analyzing gaze duration to determine user intent, the air conditioner's cold air flow can be quickly adjusted to that area. This avoids the problem of users needing to repeatedly input or experiment to achieve the desired effect in traditional operations, significantly shortening adjustment time.

[0020] Optionally, the step of calculating the second projection distance and the second diffusion range of the air at the target angle of the air conditioner deflector according to the user's intention to obtain the second simulation result specifically includes: calculating the target angle according to the gaze area; calculating the second projection distance and the second diffusion range using a preset formula based on the target angle; and mapping the second projection distance and the second diffusion range to the indoor thermal map to obtain the second simulation result.

[0021] By adopting the above technical solution, the target angle is accurately calculated based on the user's gaze area, ensuring that the adjustment of the air conditioner deflector closely matches the user's needs. The projection distance and diffusion range are calculated using preset formulas, ensuring that cold air accurately covers the area of ​​interest to the user. This avoids situations where cold air fails to reach the target area or is excessively dispersed, significantly improving the air conditioner's cooling efficiency and user experience. The second simulation result maps the projection distance and diffusion range to an indoor thermal map, visually demonstrating the effect of cold air coverage. Users can observe the adjusted airflow path and coverage area in real time through an AR interface, intuitively understanding the adjustment effect and enhancing the interactive experience. Dynamic visualization of the results reduces the trial-and-error time for users adjusting the air conditioner, improving interaction efficiency and satisfaction. A closed loop is formed from user intent acquisition to result display, making the air conditioner deflector adjustment process logically clear and responsive. The user's gaze area directly drives the target angle calculation, simplifying traditionally cumbersome control steps. The closed-loop design improves the interaction efficiency between the user and the system, making the entire process smoother and more efficient.

[0022] Optionally, the method further includes: displaying a virtual interface to the user through the AR glasses, the virtual interface being used to control the air conditioner deflector; obtaining the user's operation instructions on the virtual interface in response to the second simulation result; recognizing the operation instructions and controlling the air conditioner deflector to execute the operation instructions.

[0023] By adopting the above technical solution, the control interface of the air conditioner deflector is directly displayed to the user through AR glasses, allowing the user to clearly see all control options and operation feedback. Users can operate the specific angle of the air conditioner deflector or the distribution area of ​​cold air through the virtual interface. The operation is simple and intuitive, avoiding the confusion of complex menus on traditional remote controls. This greatly reduces the user's learning cost, making air conditioner control more convenient and meeting the needs of modern users for intuitive smart home interaction. It enhances the user's sense of control over the system operation, making air conditioner adjustment more personalized and efficient. After the user completes the operation on the virtual interface, the system can quickly recognize the command and accurately control the air conditioner deflector to execute it. It achieves a seamless connection from user input to air conditioner adjustment, significantly reducing latency and ensuring timely operation feedback. It improves the response speed of the smart air conditioning system, providing users with a smooth control experience. It ensures consistency between the virtual interface and actual air conditioner operation, avoiding user dissatisfaction caused by delays or misjudgments. The virtual interface supports multiple interaction methods, such as swiping gestures to adjust the deflector angle, clicking to confirm the cold air coverage area, and even completing operations through voice or eye tracking. The virtual interface can dynamically change according to the user's needs, such as displaying the current deflector position and the target cold air path. This allows for more diverse and flexible air conditioning control methods, catering to the operating habits of different users. It also provides a high-tech interactive experience, making the use of smart air conditioners more enjoyable and modern.

[0024] A second aspect of this application provides an air conditioner deflector control device based on AR glasses. The air conditioner deflector control device includes an acquisition module and a processing module. The acquisition module is used to acquire indoor temperature distribution data sent by the AR glasses. The processing module is used to integrate the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor heat map. The processing module is also used to calculate a first projection distance and a first diffusion range of air from the air conditioner deflector at a current angle to obtain a first simulation result, and to display the first simulation result on the indoor heat map through the AR glasses. The processing module is also used to determine the user's intent regarding the first simulation result sent by the AR glasses, wherein the user is wearing the AR glasses. The processing module is also used to calculate a second projection distance and a second diffusion range of air from the air conditioner deflector at a target angle based on the user's intent to obtain a second simulation result, wherein the user's intent includes the target angle. The processing module is also used to display the second simulation result to the user on the indoor heat map through the AR glasses.

[0025] A third aspect of this application provides an electronic device including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, and both the user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method described above.

[0026] A fourth aspect of this application provides a computer-readable storage medium storing instructions that, when executed, perform the method described above.

[0027] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages:

[0028] By acquiring indoor temperature distribution data sent by AR glasses and combining it with a preset 3D indoor model to generate a heat map, users can clearly and intuitively understand the temperature distribution and uneven areas of heat and cold within the room. Compared to the traditional method relying on single-point temperature sensors, this method achieves global monitoring of indoor temperature, providing data support for subsequent optimization of air conditioner deflectors. It avoids over-reliance on experience in adjusting air conditioning; users can perceive and adjust the indoor temperature based on the heat map. By calculating the first projection distance and first diffusion range of the deflector at the current angle, a simulation of the cold air path is generated, allowing users to intuitively see the direction and coverage area of ​​airflow. This simulation is overlaid on the heat map in real time through AR glasses, solving the problem of users not being able to intuitively perceive the cold air distribution in traditional air conditioning adjustments. The system quickly calculates the second projection distance and diffusion range at the target angle based on user intent, generating an optimized second simulation result, which is then displayed again through AR glasses. This process effectively avoids tedious manual adjustments, simplifies the interaction process, and meets users' needs for personalized and intuitive operation. By simulating the path of cold air at different angles, the system can find the optimal deflector setting, ensuring that cold air quickly reaches the user's designated area and reducing energy waste. This improves the efficiency of air conditioning use and avoids problems such as over-cooling or uneven cold air coverage, thus enhancing the overall user comfort. Therefore, it facilitates improved control efficiency of the air conditioning deflector. Attached Figure Description

[0029] Figure 1 A flowchart illustrating an air conditioner deflector control method based on AR glasses, provided in an embodiment of this application;

[0030] Figure 2 Another schematic flowchart of an air conditioner deflector control method based on AR glasses provided in an embodiment of this application;

[0031] Figure 3 A schematic diagram of a module for an air conditioner deflector control device based on AR glasses, provided in an embodiment of this application;

[0032] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0033] Explanation of reference numerals in the attached figures: 31. Acquisition module; 32. Processing module; 41. Processor; 42. Communication bus; 43. User interface; 44. Network interface; 45. Memory. Detailed Implementation

[0034] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0035] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0036] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0037] Air conditioners are an indispensable electrical appliance in modern homes and commercial environments. They are widely used in various scenarios such as homes, office buildings, shopping malls, and industrial plants. Their core function is to regulate indoor temperature, humidity, and air circulation, thereby creating a comfortable indoor environment for people.

[0038] Currently, traditional air conditioner deflector control primarily relies on remote controls or smartphones, allowing manual adjustment of the deflector angle or airflow direction. This control method is typically based on fixed preset angles or simple airflow direction changes, lacking intuitive feedback. Because users cannot clearly see the flow path and coverage area of ​​the cold air after the deflector adjustment, they can only judge the effect based on sensory experience. This trial-and-error adjustment often requires repeated attempts, which is not only time-consuming but also reduces the efficiency of controlling the air conditioner deflector.

[0039] To address the aforementioned technical problems, this application provides a method for controlling an air conditioning deflector based on AR glasses, referring to... Figure 1 , Figure 1 This is a flowchart illustrating an air conditioner deflector control method based on AR glasses, provided in an embodiment of this application. The control method is applied to a server and specifically includes steps S110 to S160, as follows:

[0040] S110. Obtain indoor temperature distribution data sent by the AR glasses.

[0041] Specifically, AR glasses are equipped with built-in temperature sensors, infrared cameras, or other environmental sensing components, enabling real-time detection of temperature distribution within an indoor space, such as temperature gradients in different areas. The AR glasses utilize SLAM technology to acquire the three-dimensional spatial structure of the room, fusing this data with the temperature sensor data to generate digital information on temperature distribution. The AR glasses then transmit this collected temperature distribution data to a cloud server via wireless networks, such as Wi-Fi or Bluetooth. Upon receiving this data, the server stores, analyzes, and processes it, providing data support for subsequent air conditioning control strategies. The goal of this process is to enable the air conditioning control system to obtain real-time temperature distribution information, thereby achieving more precise air conditioning and coverage optimization, improving the intelligence level of the air conditioning system and the user experience.

[0042] S120. Integrate indoor temperature distribution data into a preset indoor 3D model to obtain an indoor thermal map.

[0043] Specifically, indoor temperature distribution data comes from sensors in the AR glasses or other temperature acquisition devices, describing temperature information at different points in the room, including temperature gradients, cold air blind spots, and the location of high-temperature areas. Based on the SLAM function of the AR glasses, the indoor space is scanned and reconstructed, generating a 3D model that includes the room structure, furniture positions, obstacles, and air conditioner locations. This model provides a 3D coordinate system to map temperature data to specific locations within the room. The coordinate system maps the temperature distribution data to spatial points in the 3D model. Using heatmap technology, color gradients (e.g., blue for cold, red for hot) visually represent temperature changes, transforming abstract data into easily understandable visual information. The heatmap, a result of combining temperature data with the indoor 3D model, displays the spatial distribution and trends of temperature within the room. Users can observe the heatmap through AR glasses to understand the temperature status and air conditioning coverage in different areas.

[0044] In one possible implementation, indoor temperature distribution data is integrated into a preset indoor 3D model to obtain an indoor heat map. Specifically, this includes: using the SLAM component of AR glasses to perform a 3D scan of the interior to obtain 3D scan data, which includes the coordinates of furniture positions, obstacles, and air conditioner positions; constructing a preset indoor 3D model based on the 3D scan data; and marking high-temperature areas, cold air blind spots, and existing cold air coverage areas in the preset indoor 3D model based on the indoor temperature distribution to generate an indoor heat map.

[0045] Specifically, SLAM technology is a key technology in AR glasses. It uses sensors, such as depth cameras and LiDAR, to scan the surrounding environment and construct a 3D model of it. SLAM technology identifies and calibrates the precise locations of furniture, obstacles, and air conditioners within the room, generating 3D scan data. This 3D scan data includes the positions of objects, walls, furniture, obstacles, and air conditioners. Based on the 3D scan data obtained from the AR glasses, the server constructs a 3D model of the indoor space, containing the spatial positions of all static elements such as furniture and walls. This model provides a spatial coordinate system for further processing of temperature data, allowing temperature distribution data to be accurately mapped to specific spatial locations. This model is not only used for visualizing temperature data but also helps air conditioning systems calculate the projection path and flow direction of cold air.

[0046] In the generated 3D model, temperature data acquired by AR glasses is used to mark the temperature conditions of different areas. Areas with higher temperatures are marked in red (e.g., hot areas near windows), while areas with lower temperatures are marked in blue (e.g., near air conditioner vents). Cold air blind spots refer to areas that the air conditioner or cooling system cannot effectively cover; these areas tend to have higher temperatures and are specifically marked. Existing cold air coverage, i.e., the area covered by the air conditioner, is usually determined by factors such as wind direction and the angle of the air deflector. Using the 3D model and temperature distribution data, an indoor heat map is generated, showing the spatial distribution of temperature. Users can see the temperature status of different areas in the room through AR glasses, intuitively understanding the effectiveness of the air conditioner's cooling and temperature differences within the room. Temperature areas in the heat map are presented through color changes: red represents high temperature, blue represents low temperature, and green or yellow represents moderate temperature, helping users understand which areas are not cooling effectively and which areas are too hot.

[0047] S130. Calculate the first projection distance and first diffusion range of the air at the current angle of the air conditioner deflector, obtain the first simulation result, and display the first simulation result in the indoor thermal map through AR glasses.

[0048] Specifically, the angle of the air conditioner's deflector determines the direction and range of the airflow. For example, if the deflector angle is small, the air may be concentrated and projected forward; if the angle is large, the air may diffuse over a wider area. Therefore, the angle of the deflector has a significant impact on the projection distance and diffusion range of the air. The first projection distance refers to the farthest distance that air can reach from the air conditioner vent at the current deflector angle. This distance is calculated considering factors such as the air conditioner's airflow velocity, the deflector angle, and air resistance. The first diffusion range refers to the area covered by the air as the distance increases from the vent, with the airflow velocity gradually decreasing and the coverage area gradually increasing. This range depends on factors such as the air diffusion coefficient, the vent area, and the indoor temperature. These calculations use fluid dynamics formulas, combined with parameters such as the air conditioner's airflow velocity, angle, and ambient temperature, to estimate the projection distance and diffusion range of the air. The server generates a simulation result based on the calculated projection distance and diffusion range. This simulation result shows the actual airflow path and coverage area of ​​the air conditioner's deflector at the current angle. The simulation results are presented as an indoor heat map, using different colors to indicate different temperature ranges; for example, low-temperature areas are blue, and high-temperature areas are red. These temperature zones reflect the coverage effect of cold air, helping users understand the current air conditioning direction and effect. AR glasses display the initial simulation results to users by rendering the indoor heat map in real time. By wearing AR glasses, users can see the flow path and coverage area of ​​cold air at the current angle of the air conditioner deflector, as well as its relationship with the indoor temperature distribution. In this way, users can more intuitively see the effect of air conditioning adjustment, and can even adjust the angle of the deflector to see the changes in effect in real time, optimizing the use of air conditioning.

[0049] In one possible implementation, the first projection distance is specifically calculated using the following formula:

[0050]

[0051] Where L is the first projection distance, v is the air conditioner's air outlet speed, α is the current angle of the air conditioner's deflector, g is the acceleration due to gravity, and C... drag This is the air resistance correction factor.

[0052] Specifically, the first projection distance refers to the farthest distance the airflow can reach from the air conditioner vent. It can also be understood as the initial distance the air travels after being blown out of the vent. Air conditioner outlet velocity indicates the speed of the airflow from the vent, usually measured in meters per second. The higher the outlet velocity, the farther the air can project. The current angle of the air conditioner deflector indicates the angle between the deflector and the horizontal plane. This angle determines the direction of air projection. The larger the angle, the wider the air spreads, and the projection distance is also affected. Gravitational acceleration represents the acceleration due to Earth's gravity on objects, with a standard value of 9.8 meters per second squared (m / s²). 2 Although gravitational acceleration has a relatively small impact on airflow, its effect on airflow still needs to be considered in some models. The air resistance correction factor represents the degree of resistance encountered by airflow. Air slows down when it collides with objects (such as walls and furniture); the larger the Cdrag value, the shorter the distance the air is projected. Using this formula, users or control systems can estimate the initial projection distance of cold air from the air conditioner at the current deflector angle. If the user wants the cold air to cover a farther area, the system can adjust this projection distance by increasing the airflow speed, adjusting the deflector angle, or optimizing the airflow. This calculation helps users understand the impact of the air conditioner deflector angle on cold airflow, thus achieving more precise temperature control.

[0053] In one possible implementation, the first diffusion range is specifically calculated using the following formula:

[0054]

[0055] Where R is the first diffusion range, k is the temperature diffusion coefficient, A is the air outlet area of ​​the air conditioner, and T room Indoor ambient temperature, T outlet This refers to the air outlet temperature of the air conditioner.

[0056] Specifically, the first diffusion range refers to the diameter of the area from the air conditioner vent in an indoor environment to the distance the cold air travels, usually measured in meters. The temperature diffusivity coefficient represents the speed at which temperature changes propagate through the air, depending on air density, humidity, and temperature differences. The value of k is typically determined experimentally or using actual aerodynamic models. The air conditioner vent area represents the initial cross-sectional area of ​​the cold air being blown out. A larger vent area may result in a wider initial diffusion range. The indoor ambient temperature represents the overall temperature of the room where the air conditioner is located, usually measured in degrees Celsius. Higher ambient temperatures lead to a greater temperature difference between the cold air and the surrounding air, significantly impacting the diffusion range. The air conditioner vent temperature represents the temperature of the cold air at the moment it is blown out. Lower vent temperatures result in a greater temperature difference between the cold air and the indoor ambient temperature, driving the air to diffuse more rapidly.

[0057] By calculating the diffusion range using formulas, users can accurately understand the coverage area of ​​cold air under current airflow conditions. This provides a reference for adjusting the airflow direction and deflector angle of the air conditioner. During air conditioning operation, users often want certain areas to cool down quickly while other areas experience less temperature change. Based on the calculation of the diffusion range, the coverage area of ​​cold air can be adjusted more precisely, thereby improving the temperature control experience. In automated systems, the server can dynamically calculate the diffusion range in real time based on changes in indoor ambient temperature and user needs, and achieve precise control by adjusting the deflector angle or the air outlet temperature.

[0058] S140. Determine the user's intent regarding the first simulation result sent by the AR glasses, where the user is wearing AR glasses.

[0059] Specifically, AR glasses acquire behavioral data such as the user's gaze point, gestures, and voice commands through sensors, and send this data to the server in real time. The server infers the user's desired adjustments based on the gaze area, gaze duration, and interaction. For example, prolonged gaze at a certain area indicates the user is focused on that area and wants to improve cold air coverage there. Gestures clearly indicate the intention to adjust the windshield angle. The voice command "Make the cold air blow more towards the sofa" indicates the user's intention to adjust the wind direction in a specific direction. Once the server determines the user's intention, it recalculates the target windshield angle and wind speed settings based on the current simulation results, generating a new simulation for the user.

[0060] In one possible implementation, determining the user's intent regarding the first simulation result sent by the AR glasses specifically includes: receiving gaze point data for the user sent by the AR glasses; determining the gaze area based on the gaze point data; obtaining the user's gaze duration over the gaze area; and determining the user's intent based on the gaze area and gaze duration.

[0061] Specifically, AR glasses use eye-tracking technology to record the user's gaze points in real time, that is, the specific location of the user's gaze within a room or heat map. Gaze point data includes the coordinates of the gaze, a timestamp, and possible focal points, such as specific objects like sofas or tables. By analyzing the gaze point data, the user's gaze is mapped to specific areas in the room. For example, if the gaze is concentrated above the sofa, the user's gaze area can be determined to be the sofa. The server calculates the time the user spends in a particular gaze area. A longer gaze duration indicates a higher level of user attention to that area. Combining the gaze area and gaze duration, the user's intention is inferred. For example, if a user gazes at a cold draft blind spot on the heat map for a long time, it may indicate that the user wants the cold draft to cover that area.

[0062] For example, a user wearing AR glasses observes a simulated heat map of the air conditioning effect in a room. The current heat map shows the coverage of cold air in the room, with cold air covering most of the room, but the sofa area is clearly in a cold air blind spot. The user's gaze is focused on the sofa area in the heat map, and the AR glasses record the gaze point data in real time and send it to the server. After analyzing the gaze point data, the server finds that these points are concentrated in the sofa area of ​​the heat map. The server marks this area as the "user attention area". The server detects that the user's gaze duration in the sofa area is 6 seconds, exceeding a preset threshold, such as 3 seconds, indicating that the user has a high level of attention to this area. Combining the heat map information (the sofa area is a cold air blind spot) and the user behavior (long-term gaze at the sofa area), the server infers that the user wants to increase the cold air coverage of the sofa area by adjusting the angle of the air deflector.

[0063] S150. Based on the user's intent, calculate the second projection distance and second diffusion range of the air from the air conditioner deflector at the target angle to obtain the second simulation result. The user's intent includes the target angle.

[0064] Specifically, based on the target angle, the server recalculates the projection distance and diffusion range of the air at that angle using formulas. The preset formulas are those used to calculate the first projection distance and the second diffusion range, respectively. During the calculation, the angle of the air conditioner deflector is adjusted from the current angle to the target angle, which will not be elaborated further here. Using the calculated projection distance and diffusion range, the adjusted airflow path and coverage area are mapped onto an indoor thermal map. The second simulation results demonstrate the changes in cold air flow at the target angle, including the new coverage area and temperature distribution.

[0065] In one possible implementation, based on the user's intent, the second projection distance and the second diffusion range of the air at the target angle of the air conditioning deflector are calculated to obtain the second simulation result. Specifically, this includes: calculating the target angle based on the viewing area; calculating the second projection distance and the second diffusion range based on the target angle using a preset formula; and mapping the second projection distance and the second diffusion range onto an indoor thermal map to obtain the second simulation result.

[0066] Specifically, the server calculates the target angle and corresponding airflow range based on user intent, avoiding blind adjustments and improving control precision. The second simulation result is presented as a dynamic heatmap, allowing users to intuitively understand the adjustment effect. Users no longer need to adjust the deflector angle through sensory input; a single operation achieves satisfactory results. Based on the user-specified viewing area, the server provides targeted cooling air adjustment solutions, enhancing the user experience. By optimizing the cooling air distribution path, energy waste is avoided, and the efficiency of the air conditioning is improved.

[0067] S160. Display the second simulation results to the user on the indoor thermal map using AR glasses.

[0068] Specifically, the second simulation results include the air projection distance and diffusion range calculated based on the angle of the target wind deflector. The simulation results, calculated using mathematical models and formulas, present the flow path and temperature coverage effect of cold air in the target area. The simulation results are mapped onto an indoor 3D heat map, which visually displays changes in high-temperature areas, cold air blind spots, and the extent of cold air coverage. AR glasses project the indoor heat map into the user's field of vision in an augmented reality manner. The user can observe the adjusted cold air flow path and effect in real time. Color changes or flow effects in the heat map dynamically present the diffusion of cold air.

[0069] In one possible implementation, refer to Figure 2 , Figure 2 This application provides another schematic flowchart of an air conditioner deflector control method based on AR glasses. It includes steps S210 to S230, as follows: S210, displaying a virtual interface to the user through AR glasses, the virtual interface being used to control the air conditioner deflector; S220, obtaining the user's operation instructions on the virtual interface regarding a second simulation result; S230, recognizing the operation instructions and controlling the air conditioner deflector to execute the operation instructions.

[0070] Specifically, AR glasses project a virtual interface into the user's field of vision. This interface can be a control panel floating in the air, displaying the air conditioning status, such as the current angle, fan speed, and temperature, as well as adjustable options, such as a slider to adjust the angle or a button to control the airflow direction. The user performs actions on the virtual interface using the AR glasses' interactive functions, such as eye tracking, gesture control, and voice commands. The AR glasses translate the user's actions into specific instructions, such as adjusting the deflector angle to 45 degrees or reducing the fan speed by one level. The server parses the instructions from the AR glasses, identifying the user's desired action on the air conditioning. The server then sends the user's instructions to the air conditioning control system to adjust the deflector angle, fan speed, or other parameters.

[0071] This application also provides an air conditioning deflector control device based on AR glasses, referring to... Figure 3 , Figure 3This is a schematic diagram of a module for an air conditioner deflector control device based on AR glasses, provided in an embodiment of this application. The device is a server, comprising an acquisition module 31 and a processing module 32. The acquisition module 31 acquires indoor temperature distribution data sent by the AR glasses. The processing module 32 integrates the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor thermal map. The processing module 32 calculates the first projection distance and first diffusion range of the air conditioner deflector at the current angle to obtain a first simulation result, and displays the first simulation result on the indoor thermal map through the AR glasses. The processing module 32 determines the user's intent regarding the first simulation result, as the user is wearing AR glasses. Based on the user's intent, the processing module 32 calculates the second projection distance and second diffusion range of the air conditioner deflector at a target angle to obtain a second simulation result, where the user's intent includes the target angle. The processing module 32 displays the second simulation result to the user on the indoor thermal map through the AR glasses.

[0072] In one possible implementation, the processing module 32 integrates indoor temperature distribution data into a preset indoor 3D model to obtain an indoor heat map. Specifically, the processing module 32 performs a 3D scan of the interior using the SLAM component of the AR glasses to obtain 3D scan data, which includes the coordinates of furniture positions, obstacles, and air conditioner positions. Based on the 3D scan data, the processing module 32 constructs a preset indoor 3D model. Based on the indoor temperature distribution, the processing module 32 marks high-temperature areas, cold air blind spots, and existing cold air coverage areas in the preset indoor 3D model to generate an indoor heat map.

[0073] In one possible implementation, the first projection distance is specifically calculated using the following formula:

[0074]

[0075] Where L is the first projection distance, v is the air conditioner's air outlet speed, α is the current angle of the air conditioner's deflector, g is the acceleration due to gravity, and C... drag This is the air resistance correction factor.

[0076] In one possible implementation, the first diffusion range is specifically calculated using the following formula:

[0077]

[0078] Where R is the first diffusion range, k is the temperature diffusion coefficient, A is the air outlet area of ​​the air conditioner, and T room Indoor ambient temperature, T outlet This refers to the air outlet temperature of the air conditioner.

[0079] In one possible implementation, the processing module 32 determines the user intent sent by the AR glasses for the first simulation result, specifically including: the acquisition module 31 receiving the gaze point data sent by the AR glasses for the user; the processing module 32 determining the gaze area based on the gaze point data; the acquisition module 31 acquiring the user's gaze duration for the gaze area; and the processing module 32 determining the user intent based on the gaze area and the gaze duration.

[0080] In one possible implementation, the processing module 32 calculates the second projection distance and the second diffusion range of the air at the target angle of the air conditioner deflector according to the user's intention, and obtains the second simulation result. Specifically, the processing module 32 calculates the target angle according to the viewing area; the processing module 32 calculates the second projection distance and the second diffusion range based on the target angle using a preset formula; and the processing module 32 maps the second projection distance and the second diffusion range to the indoor thermal map to obtain the second simulation result.

[0081] In one possible implementation, the processing module 32 displays a virtual interface to the user through AR glasses, the virtual interface being used to control the air conditioner deflector; the acquisition module 31 acquires the user's operation instructions on the virtual interface in response to the second simulation result; the processing module 32 identifies the operation instructions and controls the air conditioner deflector to execute the operation instructions.

[0082] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0083] This application also provides an electronic device, with reference to... Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: at least one processor 41, at least one network interface 44, a user interface 43, a memory 45, and at least one communication bus 42.

[0084] The communication bus 42 is used to enable communication between these components.

[0085] The user interface 43 may include a display screen and a camera. Optionally, the user interface 43 may also include a standard wired interface and a wireless interface.

[0086] The network interface 44 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0087] The processor 41 may include one or more processing cores. The processor 41 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 45, and by calling data stored in the memory 45. Optionally, the processor 41 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 41 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content to be displayed on the screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 41 and may be implemented as a separate chip.

[0088] The memory 45 may include random access memory (RAM) or read-only memory. Optionally, the memory 45 may include a non-transitory computer-readable storage medium. The memory 45 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 45 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the various method embodiments described above, etc.; the data storage area may store data involved in the various method embodiments described above, etc. Optionally, the memory 45 may also be at least one storage device located remotely from the aforementioned processor 41. Figure 4 As shown, the memory 45, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for controlling an air conditioning deflector based on AR glasses.

[0089] exist Figure 4In the electronic device shown, the user interface 43 is mainly used to provide an input interface for the user and to obtain the user input data; while the processor 41 can be used to call an application program stored in the memory 45 that is a method for controlling an air conditioner deflector based on AR glasses. When executed by one or more processors, the electronic device executes one or more methods as described in the above embodiments.

[0090] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0091] This application also provides a computer-readable storage medium storing instructions. When executed by one or more processors, these instructions cause an electronic device to perform one or more of the methods described in the above embodiments.

[0092] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0093] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings or direct couplings or communication connections may be through some service interfaces; indirect couplings or communication connections between apparatuses or units may be electrical or other forms.

[0094] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0095] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0096] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0097] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of other embodiments of this disclosure upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for controlling an air conditioner deflector based on AR glasses, characterized in that, The method includes: Acquire indoor temperature distribution data sent by AR glasses; The indoor temperature distribution data is integrated into a preset indoor 3D model to obtain an indoor thermal map; Calculate the first projection distance and first diffusion range of the air from the air conditioner deflector at the current angle to obtain the first simulation result, and display the first simulation result in the indoor thermal map through the AR glasses; Determine the user intent sent by the AR glasses in response to the first simulation result, wherein the user is wearing the AR glasses; Based on the user intent, the second projection distance and the second diffusion range of the air from the air conditioner deflector at the target angle are calculated to obtain the second simulation result, wherein the user intent includes the target angle. The second simulation result is displayed to the user on the indoor thermal map using the AR glasses.

2. The air conditioner deflector control method based on AR glasses according to claim 1, characterized in that, The step of integrating the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor thermal map specifically includes: The AR glasses use the SLAM component to perform a 3D scan of the room to obtain 3D scan data, which includes the coordinates of furniture positions, obstacles, and air conditioner positions. Based on the 3D scan data, the preset indoor 3D model is constructed. Based on the indoor temperature distribution, high-temperature areas, cold air blind spots, and existing cold air coverage areas are marked in the preset indoor 3D model to generate the indoor thermal map.

3. The air conditioner deflector control method based on AR glasses according to claim 1, characterized in that, The first projection distance is calculated using the following formula: Where L is the first projection distance, v is the air conditioner's air outlet speed, α is the current angle of the air conditioner's deflector, g is the acceleration due to gravity, and C... drag This is the air resistance correction factor.

4. The air conditioner deflector control method based on AR glasses according to claim 1, characterized in that, Determining the user intent sent by the AR glasses regarding the first simulation result specifically includes: Receive gaze point data for the user sent by the AR glasses; Based on the gaze point data, determine the gaze region; Obtain the duration of the user's gaze on the gaze area. The user intent is determined based on the gaze area and the gaze duration.

5. The air conditioner deflector control method based on AR glasses according to claim 4, characterized in that, The step of calculating the second projection distance and second diffusion range of the air from the air conditioner deflector at the target angle based on the user's intent, and obtaining the second simulation result, specifically includes: The target angle is calculated based on the gaze area; Based on the target angle, the second projection distance and the second diffusion range are calculated using a preset formula; The second projection distance and the second diffusion range are mapped onto the indoor thermal map to obtain the second simulation result.

6. The air conditioner deflector control method based on AR glasses according to claim 1, characterized in that, The method further includes: A virtual interface is displayed to the user through the AR glasses, and the virtual interface is used to control the air conditioner deflector. Obtain the user's operation instructions on the virtual interface in response to the second simulation result; The system identifies the operation command and controls the air conditioning deflector to execute the operation command.

7. An air conditioner deflector control device based on AR glasses, characterized in that, The air conditioning deflector control device includes an acquisition module (31) and a processing module (32), wherein, The acquisition module (31) is used to acquire indoor temperature distribution data sent by the AR glasses; The processing module (32) is used to integrate the indoor temperature distribution data into a preset indoor 3D model to obtain an indoor thermal map; The processing module (32) is also used to calculate the first projection distance and the first diffusion range of the air at the current angle of the air conditioner deflector, obtain the first simulation result, and display the first simulation result in the indoor thermal map through the AR glasses; The processing module (32) is further configured to determine the user intent of the user sent by the AR glasses in response to the first simulation result, wherein the user is wearing the AR glasses; The processing module (32) is further configured to calculate the second projection distance and the second diffusion range of the air at the target angle of the air conditioning deflector according to the user intention, and obtain the second simulation result, wherein the user intention includes the target angle; The processing module (32) is also used to display the second simulation result to the user through the AR glasses on the indoor thermal map.

8. An electronic device, characterized in that, The electronic device includes a processor (41), a memory (45), a user interface (43), and a network interface (44). The memory (45) is used to store instructions. The user interface (43) and the network interface (44) are both used to communicate with other devices. The processor (41) is used to execute the instructions stored in the memory (45) to cause the electronic device to perform the method as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1 to 7.

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