Air supply control method and device, air conditioner and computer readable storage medium

Abstract

This application provides an air supply control method, device, air conditioner, and computer-readable storage medium. The air supply control method includes: determining the actual air guide angle at each time according to a target air guide angle range and an air guide chaotic equation; determining the actual air sweep angle at each time according to a target air sweep angle range and an air sweep chaotic equation; and controlling the air supply of the air conditioner according to the actual air guide angle and the actual air sweep angle at each time.

Description

Technical Field

[0001] This application relates to the field of air conditioner technology, specifically to an air supply control method, device, air conditioner, and computer-readable storage medium. Background Technology

[0002] In related technologies, when air conditioners deliver air, they typically control the air guide vanes and sweeping blades to maintain a fixed angle or oscillate at a preset constant rhythm, based on the user-selected air delivery mode, such as up-and-down swing, left-and-right swing, or fixed air delivery. This results in an overly stable airflow. When users are in this stable airflow environment for extended periods, they are prone to experiencing discomfort such as locally lower / higher perceived temperatures and a noticeable draft, thus affecting the comfort and user experience of using the air conditioner. Summary of the Invention

[0003] This application provides an air supply control method, device, air conditioner, and computer-readable storage medium, which can effectively avoid local discomfort caused by constant or periodic changes in air supply direction, and significantly improve the comfort and user experience of the air conditioner.

[0004] In a first aspect, embodiments of this application provide an air supply control method, comprising: determining the actual air guiding angle at each moment based on a target air guiding angle range and an air guiding chaotic equation; determining the actual air sweeping angle at each moment based on a target air sweeping angle range and an air sweeping chaotic equation; and controlling the air supply of an air conditioner based on the actual air guiding angle and the actual air sweeping angle at each moment.

[0005] In some embodiments, before determining the actual windward angle at each moment based on the target windward angle range and the windward chaotic equation, and before determining the actual sweeping angle at each moment based on the target sweeping angle range and the sweeping chaotic equation, the air supply control method includes: acquiring the user's location; and determining the target windward angle range and the target sweeping angle range based on the user's location.

[0006] In some embodiments, the air conditioner includes a turntable, at least one air guide plate, and sweeping blades. The air guide plate is rotatably mounted on the turntable, and the sweeping blades are oscillatingly mounted on the air guide plate. The oscillation center axis of the sweeping blades is perpendicular or inclined to the rotation center axis of the air guide plate. The target air guiding angle range includes the target deflection angle range of the turntable and the target deflection angle range of the air guide plate. The air guiding chaotic equation includes a first air guiding chaotic equation and a second air guiding chaotic equation. The actual air guiding angle includes the actual deflection angle of the turntable and the actual deflection angle of the air guide plate. Determining the actual air guiding angle at each moment based on the target air guiding angle range and the air guiding chaotic equation includes: determining the actual deflection angle of the turntable at each moment based on the target deflection angle range of the turntable and the first air guiding chaotic equation; and determining the actual deflection angle of the air guide plate at each moment based on the target deflection angle range of the air guide plate and the second air guiding chaotic equation.

[0007] In some embodiments, the air supply control method further includes: acquiring indoor temperature and indoor humidity; determining a target constraint equation between average wind speed and turbulence intensity based on the indoor temperature, the indoor humidity, and a predicted comfort vote value; determining a target speed sequence for the indoor fan based on the target constraint equation and preset constraint conditions; and controlling the operation of the indoor fan based on the target speed sequence.

[0008] In some embodiments, before determining the target constraint equation between the average wind speed and turbulence intensity based on the indoor temperature, the indoor humidity, and the predicted comfort vote, the air supply control method includes: determining the predicted average vote and the predicted dissatisfaction percentage based on a human thermal comfort model; and determining the predicted comfort vote based on the predicted dissatisfaction percentage.

[0009] In some embodiments, the preset constraints include power spectral density exponent constraints, phase space reconstruction graph aspect ratio constraints, wind speed probability distribution constraints, and average wind speed constraints.

[0010] Secondly, embodiments of this application provide an air supply control device, including: a guide angle calculation module configured to determine the actual guide angle at each moment based on a target guide angle range and a guide chaotic equation; a sweep angle calculation module configured to determine the actual sweep angle at each moment based on a target sweep angle range and a sweep chaotic equation; and an air supply control module configured to control the air supply of an air conditioner based on the actual guide angle and the actual sweep angle at each moment.

[0011] Thirdly, embodiments of this application provide an air conditioner, including: a processor; and a memory storing a computer program, wherein when the computer program is executed by the processor, it implements the air supply control method as described in any of the above embodiments.

[0012] In some embodiments, the air conditioner includes a turntable, at least one air guide plate, and air sweeping blades. The at least one air guide plate is rotatably disposed on the turntable, and the air sweeping blades are oscillatingly disposed on the air guide plate. The oscillation center axis of the air sweeping blades and the rotation center axis of the air guide plate are arranged perpendicularly or obliquely.

[0013] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to execute the steps in the above-described air supply control method.

[0014] The air supply control method provided in this application determines the actual air guiding angle and the actual air sweeping angle at each moment based on the target air guiding angle range, the target air sweeping angle range, and a chaotic dynamics model. It controls the air guide plate to deflect and adjust according to a random or quasi-random air guiding angle sequence, and the air sweeping plate to swing and sweep according to a random or quasi-random air sweeping angle sequence. By jointly scheduling the chaotic control of the air guiding angle and the chaotic control of the air sweeping angle, the chaos of the air supply direction is further increased, so as to form a multi-directional, multi-path, similar to random and difficult to predict, but controllable air supply trajectory in the indoor space. In this way, within the target air sweeping angle range, it can better simulate the natural, gentle and unpredictable wind, effectively avoid the local discomfort caused by the constant or periodic change of the air supply direction, and provide users with a comfortable air supply experience similar to natural wind, significantly improving the comfort and user experience of the air conditioner. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of an air supply control method provided in some embodiments of this application; Figure 2 This is a partial flowchart of an air supply control method provided in some embodiments of this application; Figure 3 This is another partial flowchart of the air supply control method provided in some embodiments of this application; Figure 4 This is another partial flowchart of the air supply control method provided in some embodiments of this application; Figure 5 This is another partial flowchart of the air supply control method provided in some embodiments of this application; Figure 6 This is a structural diagram of an air conditioner provided in some embodiments of this application.

[0017] Explanation of key component symbols: 1-Air conditioner, 10-Processor, 20-Memory. Detailed Implementation

[0018] The technical solutions of the embodiments of this application 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. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. 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 number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0020] "A and / or B" includes the following three combinations: A only, B only, and a combination of A and B.

[0021] The use of "applies to" or "configured to" in this application implies open and inclusive language, which does not exclude the applicability to or configuration to devices performing additional tasks or steps. Additionally, the use of "based on" implies openness and inclusivity, because processes, steps, calculations, or other actions "based on" one or more of the stated conditions or values ​​may in practice be based on additional conditions or values ​​beyond those stated.

[0022] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0023] like Figure 1 As shown, in a first aspect, embodiments of this application provide an air supply control method, which includes S10 to S30, and can effectively avoid local discomfort caused by constant or periodic changes in the air supply direction, and significantly improve the comfort and user experience of the air conditioner 1.

[0024] S10: Determine the actual wind guiding angle at each moment based on the target wind guiding angle range and the wind guiding chaos equation.

[0025] The target air guide angle range is the allowable or desired angle range of the air guide plate of air conditioner 1 under current operating conditions. It is a range with the maximum air guide angle as the upper limit and the minimum air guide angle as the lower limit, used to limit the deflection range of the air guide plate when meeting user expectations. The target air guide angle range can be determined based on one or more operating condition parameters such as user location / user body size / user preferences, while the actual air guide angle of the air guide plate can be adjusted within the target air guide angle range.

[0026] The windward chaotic equation is a time-series equation constructed based on a chaotic dynamics model. It is used to generate a sequence of windward angles with randomness or quasi-randomness within a target windward angle range. A chaotic dynamics model is a dynamic model that can describe and generate chaotic behavior. It typically consists of a set of nonlinear deterministic equations, and the windward chaotic equation is one such nonlinear deterministic equation. Chaotic dynamics models are sensitive to initial conditions; slight differences in initial conditions can amplify over time, leading to significantly different and unpredictable results. Therefore, they exhibit random or quasi-random characteristics in long-term evolution.

[0027] Correspondingly, the airflow guidance chaos equation is also sensitive to initial conditions. The results of the airflow guidance chaos equation vary significantly over time and are difficult to predict. Therefore, it exhibits random or quasi-random variation characteristics in long-term evolution, which can achieve random or quasi-random control of the airflow guide plate. The type of airflow guidance chaos equation can be determined according to actual needs. For example, the Logistic mapping equation, Henon mapping equation, Lorenz equation, or other chaotic equations suitable for airflow angle control can be used. The parameters can be adjusted according to different air conditioner models and application scenarios. This application does not limit this. Here, the target airflow angle range, such as the upper and lower limits of the target airflow angle range, can be used as the boundary conditions of the airflow guidance chaos equation, so that the airflow angle sequence generated by the airflow guidance chaos equation is restricted to the target airflow angle range.

[0028] Here, the wind guiding angle sequence includes multiple wind guiding angle values, where each wind guiding angle value corresponds to a specific moment. The specific value of each wind guiding angle value is generated by the aforementioned target wind guiding angle range and the wind guiding chaos equation. In some embodiments, some wind guiding angle values ​​can be zero, causing the wind guide plate to not deflect at certain moments that are either spaced out or continuously distributed, resulting in random fluctuations in the deflection frequency of the wind guide plate. In other embodiments, any wind guiding angle value can be non-zero, causing the wind guide plate to oscillate continuously over time.

[0029] After generating a sequence of wind-guiding angles with randomness or quasi-randomness within the target wind-guiding angle range using the wind-guiding chaotic equation, this wind-guiding angle sequence can be used as the actual wind-guiding angle at each moment. Then, the wind guide plate is controlled to adjust its angle deflection within the target wind-guiding angle range according to this wind-guiding angle sequence. This allows the air delivery direction controlled by the wind guide plate to fluctuate randomly within the target wind-guiding angle range in a way that is similar to random and difficult to predict, but controllable. This not only controls the air delivery direction within the target wind-guiding angle range to meet user expectations, but also better simulates the natural, gentle, and unpredictable wind, avoiding local discomfort caused by constant or periodic changes in the air delivery direction.

[0030] S20: Determine the actual sweep angle at each moment based on the target sweep angle range and the sweep chaos equation.

[0031] The target swing angle range is the allowable or desired angle range that the swing blades of air conditioner 1 can achieve under the current operating conditions. It is a range of values ​​with the maximum swing angle as the upper limit and the minimum swing angle as the lower limit, used to limit the swing range of the swing blades to meet user expectations. The target swing angle range can be determined based on one or more operating condition parameters such as user location / user body size / user preferences, while the actual swing angle of the swing blades can be adjusted within the target swing angle range.

[0032] The swing direction of the air guide plate and the swing direction of the air sweeping blades are set perpendicularly or at an angle, so that one of the air guide plate and the air sweeping blades can achieve left-right airflow adjustment, while the other can achieve up-down airflow adjustment. In some embodiments, the air guide plate can swing up and down, and the air sweeping blades can swing left and right; in other embodiments, the air guide plate can swing left and right, and the air sweeping blades can swing up and down.

[0033] The sweeping chaotic equation is a time-series equation constructed based on a chaotic dynamics model. It is used to generate a sweeping angle sequence with randomness or quasi-randomness within a target sweeping angle range. The sweeping chaotic equation belongs to a nonlinear deterministic equation in the chaotic dynamics model. The sweeping chaotic equation is also sensitive to initial conditions. The results of the guiding chaotic equation differ significantly over time and are difficult to predict. Therefore, it exhibits random or quasi-random variation characteristics in long-term evolution, enabling random or quasi-random control of the sweeping blades.

[0034] The type of sweep angle chaotic equation can be determined according to actual needs. For example, it can employ the Logistic mapping equation, Henon mapping equation, Lorenz equation, or other chaotic equations suitable for sweep angle control. Parameters can be adjusted according to different air conditioner models and application scenarios; this application does not limit this. Here, the target sweep angle range, such as the upper and lower limits of the target sweep angle range, can be used as the boundary conditions of the sweep angle chaotic equation, thus restricting the sweep angle sequence generated by the sweep angle chaotic equation to the target sweep angle range.

[0035] Here, the sweep angle sequence includes multiple sweep angle values, where each sweep angle value corresponds to a time point, and the specific value of each sweep angle value is generated by the aforementioned target sweep angle range and the sweep chaos equation. In some embodiments, some sweep angle values ​​may be zero, causing the sweep blades to not swing at certain times while maintaining an interval or continuous distribution, resulting in random fluctuations in the sweep frequency of the sweep blades. In other embodiments, any sweep angle value may be non-zero, causing the sweep blades to swing continuously over time.

[0036] After generating a random or quasi-random sweep angle sequence within the target sweep angle range using the sweep chaos equation, this sweep angle sequence can be used as the actual sweep angle at each moment. This allows the sweep blades to be controlled to swing and sweep within the target sweep angle range according to the sweep angle sequence. As a result, the air delivery direction and sweep rhythm controlled by the sweep blades fluctuate randomly within the target sweep angle range in a manner that is similar to random and difficult to predict, but controllable. This not only controls the air delivery direction within the target sweep angle range to meet user expectations, but also better simulates the natural, gentle, and unpredictable wind, avoiding local discomfort caused by constant or periodic changes in the air delivery direction.

[0037] It should be noted that the order of S10 and S20 can be determined according to actual needs, and this application embodiment does not limit this. In some embodiments, S10 can be executed first and then S20; in other embodiments, S20 can be executed first and then S10; in still other embodiments, S10 and S20 can be executed simultaneously.

[0038] S30: Control the air supply of air conditioner 1 according to the actual air guiding angle and actual air sweeping angle at each moment.

[0039] After determining the actual air guiding angle and the actual air sweeping angle at each moment, the deflection of the air guide plate can be adjusted according to the actual air guiding angle at each moment, and the swing blades can be swung according to the actual air sweeping angle at each moment. The chaotic control of the air guiding angle and the chaotic control of the air sweeping angle are jointly scheduled so that the air supply direction of the air conditioner 1 at any moment is jointly determined by the actual air guiding angle and the actual air sweeping angle. The chaotic nature of the air supply direction is further increased through the synergistic turbulence effect of the joint scheduling, so as to form a multi-directional, multi-path, seemingly random but unpredictable, yet controllable air supply trajectory in the indoor space.

[0040] Compared with related technologies, the air supply control method provided in this application determines the actual air guiding angle and the actual air sweeping angle at each moment based on the target air guiding angle range, the target air sweeping angle range, and a chaotic dynamics model. It controls the air guide plate to deflect and adjust according to a random or quasi-random air guiding angle sequence, and the air sweeping plate to swing and sweep according to a random or quasi-random air sweeping angle sequence. By jointly scheduling the chaotic control of the air guiding angle and the chaotic control of the air sweeping angle, the chaos of the air supply direction is further increased, so as to form a multi-directional, multi-path, similar to random and difficult to predict, but controllable air supply trajectory in the indoor space. In this way, within the target air sweeping angle range, it can better simulate the natural, gentle and unpredictable wind, effectively avoid the local discomfort caused by the constant or periodic change of the air supply direction, and provide users with a comfortable air supply experience similar to natural wind, significantly improving the comfort and user experience of the air conditioner 1.

[0041] like Figure 2 As shown, in some embodiments, before executing S10 and S20, the air supply control method may include S01~S02 to accurately obtain the target air guide angle range and the target sweep angle range.

[0042] S01: Obtain user location.

[0043] The method for obtaining the user's location can be determined according to actual needs. For example, it can be obtained through location information provided by infrared human body detection sensors, ultrasonic sensors, millimeter-wave radar, camera recognition modules, smart home gateways, or location information reported by user terminal devices. This application embodiment does not limit this. The types of parameters included in the user's location can be determined according to actual needs. For example, it can include one or more parameters such as the user's planar coordinates in the indoor space, azimuth angle relative to air conditioner 1, distance information, and height information. This application embodiment does not limit this.

[0044] S02: Determine the target air guiding angle range and the target air sweeping angle range based on the user's location.

[0045] After obtaining the user's location, the user's spatial orientation relative to air conditioner 1 can be determined. Then, based on the user's spatial orientation relative to air conditioner 1, or further combined with the geometric structure of the air outlet of air conditioner 1, the range of guiding angle and sweeping angle covering the target air supply area, such as the area where the user is located, can be calculated. The calculated values ​​are used as the target guiding angle range and target sweeping angle range to limit the deflection range of the guide vane and the swing range of the sweeping blades, ensuring that the subsequent chaotic guiding and chaotic sweeping effectively act on the target air supply area and better meet the user's expectations.

[0046] In some embodiments, the air conditioner 1 may include a turntable, at least one air guide plate, and air sweeping blades. The air guide plate is rotatably mounted on the turntable, and the air sweeping blades are pivotally mounted on the air guide plate. The pivot axis of the air sweeping blades and the rotation axis of the air guide plate are perpendicular or inclined. The number of air guide plates can be determined according to actual needs and may be one or more; this embodiment does not limit this. In some examples, multiple air guide plates may be provided on the turntable. The type of air guide plate can be determined according to actual needs and may be a single-layer air guide plate, a double-layer air guide plate, or a multi-layer air guide plate, etc.; this embodiment does not limit this.

[0047] With the above structural arrangement, the turntable can drive the entire air guide plate to deflect, and the air guide plate can further rotate relative to the turntable. The sweeping blades then oscillate on the air guide plate, thus forming a multi-degree-of-freedom air guiding and sweeping structure. The oscillation center axis of the sweeping blades is perpendicular to the rotation center axis of the air guide plate or inclined at a preset angle, which is conducive to forming a three-dimensional air delivery trajectory in space, increasing the air delivery coverage and airflow disturbance effect.

[0048] Here, the target airflow angle range can include the target deflection angle range of the turntable and the target deflection angle range of the air guide plate. The airflow chaos equation can include a first airflow chaos equation and a second airflow chaos equation. The actual airflow angle can include the actual deflection angle of the turntable and the actual deflection angle of the air guide plate. Specifically, the first airflow chaos equation is used to generate a first deflection angle sequence with randomness or quasi-randomness within the target deflection angle range of the turntable. This first deflection angle sequence can be used as the actual deflection angle of the turntable at various times. The second airflow chaos equation is used to generate a second deflection angle sequence with randomness or quasi-randomness within the target deflection angle range of the air guide plate. This second deflection angle sequence can be used as the actual deflection angle of the air guide plate at various times. By using independent chaos equations to independently control the deflection of the turntable and the air guide plate, multi-spatial-level and multi-spatial-scale angle perturbations can be achieved on the same time scale, further enhancing the chaotic characteristics of the airflow direction, thereby further improving the randomness and comfort of the airflow.

[0049] like Figure 3 As shown, S10 may include S11~S12.

[0050] S11: Determine the actual deflection angle of the turntable at each moment based on the target deflection angle range of the turntable and the first guide wind chaotic equation.

[0051] Here, the target deflection angle range of the turntable can be used as the boundary condition of the first wind-guiding chaotic equation. The standardized variables output by the first wind-guiding chaotic equation are mapped to the target deflection angle range, thus obtaining the first deflection angle sequence that changes over time. Furthermore, the first deflection angle sequence can be used as the actual deflection angle of the turntable at each moment. The wind guide plate is controlled to adjust its angle deflection according to this first deflection angle sequence within the target deflection angle range of the turntable. This causes the air delivery direction controlled by the turntable to fluctuate randomly within the target deflection angle range of the turntable in a manner that is similar to random and difficult to predict, but controllable, thus better simulating the gentle and unpredictable natural wind.

[0052] Here, the first deflection angle sequence includes multiple deflection angle values, where each deflection angle value corresponds to a time point, and the specific value of each deflection angle value is generated by the aforementioned target deflection angle range and the wind-guiding chaotic equation. In some embodiments, some deflection angle values ​​may be zero, causing the turntable to not rotate at certain times with intervals or continuous distributions, resulting in random fluctuations in the rotation frequency of the turntable. In other embodiments, any deflection angle value may be non-zero, causing the turntable to rotate continuously over time.

[0053] S12: Determine the actual deflection angle of the air guide plate at each moment based on the target deflection angle range of the air guide plate and the second air guide chaotic equation.

[0054] Here, the target deflection angle range of the wind deflector can be used as the boundary condition of the second wind-guiding chaotic equation. The standardized variables output by the second wind-guiding chaotic equation are mapped to the target deflection angle range, thus obtaining the second deflection angle sequence that changes over time. Furthermore, the second deflection angle sequence can be used as the actual deflection angle of the wind deflector at each moment. The wind deflector is controlled to adjust its angle deflection according to this second deflection angle sequence within the target deflection angle range of the wind deflector. This allows the airflow direction controlled by the wind deflector to fluctuate randomly within the target deflection angle range of the wind deflector in a manner that is similar to random and difficult to predict, but controllable, thus better simulating the gentle and unpredictable natural wind.

[0055] Here, the second deflection angle sequence includes multiple deflection angle values, where each deflection angle value corresponds to a time point, and the specific value of each deflection angle value is generated by the aforementioned target deflection angle range and the wind-guiding chaotic equation. In some embodiments, some deflection angle values ​​can be zero, causing the wind guide plate to not deflect at certain times with intervals or continuous distribution, resulting in random fluctuations in the deflection frequency of the wind guide plate. In other embodiments, any deflection angle value can be non-zero, causing the wind guide plate to rotate continuously over time.

[0056] The air supply control method provided in this application embodiment, by setting S11~S12, uses independent chaotic equations to independently control the deflection of the turntable and the air guide plate, which can realize multi-spatial level and multi-spatial scale angle disturbances on the same time scale, further enhance the chaotic characteristics of the air supply direction, thereby further improving the randomness and comfort of the air supply.

[0057] like Figure 4 As shown, in some embodiments, the air supply control method may further include S40~S70 to achieve chaotic control of the airflow speed of the air conditioner 1.

[0058] S40: Obtain indoor temperature and humidity.

[0059] Indoor temperature and humidity can be detected in real time by temperature and humidity sensors installed on the indoor side of air conditioner 1, or they can be obtained through communication with other indoor environmental monitoring devices. The obtained indoor temperature and humidity can be instantaneous values ​​at the current moment, or average values ​​or weighted average values ​​within a preset time window.

[0060] S50: Determine the target constraint equation between mean wind speed and turbulence intensity based on indoor temperature, indoor humidity, and predicted comfort votes.

[0061] Based on human thermal comfort theory, indoor temperature, indoor humidity, and the human body's sensitivity to wind speed changes can be correlated. Predicted comfort votes can reflect users' overall comfort level with the current environment, while wind speed changes can be reflected by average wind speed and turbulence intensity. Here, a relationship model can be pre-established between indoor temperature, indoor humidity, predicted comfort votes, average wind speed, and turbulence intensity to reflect the wind speed changes required to meet conditions such as indoor temperature, indoor humidity, and user comfort expectations. Indoor temperature, indoor humidity, and predicted comfort votes can serve as input values ​​to this relationship model, while average wind speed and turbulence intensity, representing wind speed changes, can serve as output values. In some examples, this relationship model can be a governing equation that includes indoor temperature, indoor humidity, predicted comfort votes, average wind speed, and turbulence intensity.

[0062] Based on the obtained indoor temperature, indoor humidity, and predicted comfort level voting values, the user's expectation of changes in comfort wind speed can be determined. Then, based on this expectation, a constraint relationship between average wind speed and turbulence intensity can be constructed to limit the combination range of average wind speed and turbulence intensity while meeting thermal comfort requirements. The target constraint equation reflects the constraint relationship between average wind speed and turbulence intensity and can be of different types, such as linear equations, nonlinear equations, or piecewise functions, to guide the subsequent solution of the target speed sequence of the indoor fan. After inputting the indoor temperature, indoor humidity, and predicted comfort level voting values ​​into the above relationship model, the target constraint equation between average wind speed and turbulence intensity can be obtained. The unknowns to be solved in the target constraint equation are average wind speed and turbulence intensity.

[0063] S60: Determine the target speed sequence of the indoor fan based on the target constraint equation and preset constraint conditions.

[0064] Here, the preset constraints are used to make the wind speed exhibit the natural wind characteristics of random fluctuations over time, and can be predetermined based on the natural wind characteristics. After determining the target constraint equation between the average wind speed and turbulence intensity, the preset constraints can be applied to the target constraint equation, and combined with the mapping relationship between the indoor fan speed and the average wind speed and turbulence intensity, the target speed sequence of the indoor fan can be solved, and this target speed sequence can be used as the actual speed of the indoor fan at each time. Each target speed value in the target speed sequence corresponds to a time moment and satisfies the above-mentioned preset constraints. The solution method for the target speed sequence can be determined according to actual needs, and different solution methods such as optimization algorithms, numerical solution methods, and lookup table methods can be used. This application embodiment does not limit this.

[0065] S70: Controls the operation of the indoor fan according to the target speed sequence.

[0066] After determining the target speed sequence, the indoor fan can be controlled to operate at the target speed value corresponding to the target speed sequence at the corresponding time. This causes the indoor fan speed to fluctuate randomly but controllably over time, resulting in the air supply speed of the air conditioner 1 fluctuating randomly over time. This effectively simulates the wind speed change characteristics of natural wind, providing users with a comfortable air supply experience similar to natural wind and significantly improving the comfort and user experience of the air conditioner 1.

[0067] The air supply control method provided in this application embodiment, by setting S40~S70, can determine the target constraint equation between the average wind speed and turbulence intensity based on the indoor temperature, indoor humidity and predicted comfort voting value. Then, based on the target constraint equation and preset constraint conditions, it determines the target speed sequence of the indoor fan. The operation of the indoor fan is controlled according to the target speed sequence so that the speed of the indoor fan fluctuates randomly but controllably over time. This causes the air supply speed of the air conditioner 1 to fluctuate randomly over time, which better simulates the wind speed change characteristics of natural wind, allowing users to obtain a comfortable air supply experience similar to natural wind, and significantly improving the comfort and user experience of the air conditioner 1.

[0068] like Figure 5 As shown, in some examples, before executing S50, the air supply control method may include S401~S402 to more accurately assess the user's thermal comfort status.

[0069] S401: Determine the predicted average vote value and the predicted dissatisfaction percentage based on the human thermal comfort model.

[0070] Here, the human thermal comfort model can be a Predicted Mean Vote (PMV) model based on Fanger theory, a Predicted Percentage Dissatisfied (PPD) model, or an empirical model fitted based on experimental data. By inputting parameters such as indoor temperature, indoor humidity, average wind speed, human metabolic rate, and clothing thermal resistance, a predicted mean vote value reflecting the user's overall thermal feeling can be calculated. Then, based on the predicted mean vote value, a predicted percentage of dissatisfaction reflecting the user's level of dissatisfaction can be calculated.

[0071] S402: Determine the predicted comfort vote value based on the predicted percentage of dissatisfaction.

[0072] Here, the predicted dissatisfaction percentage can be converted into a predicted comfort vote value through a preset mapping relationship or transformation function, so that user comfort can be quantified as a single indicator in subsequent control. The predicted comfort vote value can be a continuous value or divided into multiple discrete levels, such as "too cold", "comfortable", "too hot", etc., to guide the setting of the target constraint equation.

[0073] The type of preset constraint conditions can be determined according to actual needs, aiming to enable the target constraint equation to generate a target rotational speed sequence with randomness or quasi-randomness. This application does not limit this. In some examples, preset constraint conditions may include power spectral density exponential constraints, phase space reconstruction graph aspect ratio constraints, wind speed probability distribution constraints, and average wind speed constraints.

[0074] The power spectral density index (PSD) refers to the power-law exponent of the power spectral density (PSD) of a wind speed signal as it decays with frequency. It describes the decay rate and energy distribution of wind speed fluctuations in the frequency domain. For example, a PSD constraint condition may include a PSD limit interval. This limit interval ensures that when the target rotational speed sequence generated by the target constraint equation causes wind speed fluctuations, the decay rate and energy distribution of these fluctuations in the frequency domain conform to the characteristics of natural wind. Specifically, wind speed fluctuations exhibit complex characteristics of long-term correlation, random disturbances, and continuous fluctuations. This makes the wind speed fluctuations appear as natural random fluctuations dominated by low frequencies, avoiding the monotonous and stable regularity of mechanical wind, thus better simulating natural wind. When solving the target constraint equation based on the PSD limit interval constraint, the PSD index corresponding to the obtained target rotational speed sequence must be within the PSD limit interval.

[0075] The aspect ratio of the phase space reconstruction graph is used to constrain the geometric shape of the wind speed time series corresponding to the target rotational speed sequence in phase space. This ensures that the wind speed fluctuations caused by the target rotational speed sequence exhibit non-periodic, nonlinear, and quasi-chaotic dynamic characteristics, avoiding the formation of simple periodic oscillation patterns and better conforming to the corresponding characteristics of natural wind, thus simulating natural wind more effectively. For example, the aspect ratio of the phase space reconstruction graph can include a defined range, making the wind speed fluctuations caused by the target rotational speed sequence closer to complex but controllable random fluctuations. When solving the target constraint equation based on the constraint of the defined range of the aspect ratio of the phase space reconstruction graph, the aspect ratio of the phase space reconstruction graph corresponding to the target rotational speed sequence must be within the defined range.

[0076] The wind speed probability distribution reflects the statistical regularity of the frequency and probability of different wind speed values, and belongs to the statistical probability distribution of the wind speed time series corresponding to the target rotational speed sequence. For example, the constraints of the wind speed probability distribution can include the skewness and skewness interval of the distribution. Skewness limits the direction of skewness in the wind speed probability distribution, i.e., whether it is left-skewed, symmetrical, or right-skewed; for example, skewness can be limited to right-skewness. Skewness quantitatively describes the degree of skewness of the distribution; the larger the absolute value of skewness, the greater the degree of skewness in the wind speed probability distribution. The skewness interval is the range of allowable values ​​for skewness. By limiting the skewness and skewness of the wind speed probability distribution, the airflow speed of air conditioner 1 can be made to appear within a preset range with the desired probability distribution, which is closer to the wind speed probability distribution of natural wind, thus better simulating natural wind.

[0077] The average wind speed constraint is used to limit the average wind speed within a preset time window to a specified range, so as to ensure that when chaotic air supply is implemented, the overall wind speed can be close to the range of natural wind speed, while ensuring air supply efficiency and air supply distance.

[0078] Through the combined effect of the above constraints, air supply control with chaotic characteristics can be achieved while ensuring user thermal comfort, so that users can obtain a comfortable air supply experience similar to natural wind, significantly improving the comfort and user experience of air conditioners.

[0079] Secondly, embodiments of this application provide an air supply control device, including: a guide angle calculation module configured to determine the actual guide angle at each moment based on a target guide angle range and a guide chaotic equation; a sweep angle calculation module configured to determine the actual sweep angle at each moment based on a target sweep angle range and a sweep chaotic equation; and an air supply control module configured to control the air conditioner 1 to supply air based on the actual guide angle and the actual sweep angle at each moment.

[0080] like Figure 6 As shown, in a third aspect, this application provides an air conditioner 1, including a processor 10 and a memory 20. The memory 20 stores a computer program, which, when executed by the processor 10, implements the air supply control method provided in any of the above embodiments.

[0081] Processor 10 is connected to memory 20 and can perform various actions and processes according to the program stored in memory 20. Specifically, processor 10 can be an integrated circuit chip with signal processing capabilities. The processor 10 can be a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, and can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor, and can be based on x86 architecture or ARM architecture.

[0082] Memory 20 may be volatile or non-volatile, or may include both. Non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may be random access memory (RAM) used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SLDRAM), and direct memory bus random access memory (DRRAM). It should be noted that memory 20 of the methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0083] In some embodiments, the air conditioner 1 includes a turntable, at least one air guide plate, and air sweeping blades. The at least one air guide plate is rotatably mounted on the turntable, and the air sweeping blades are oscillatingly mounted on the air guide plate. The oscillation axis of the air sweeping blades and the rotation axis of the air guide plate are perpendicular or inclined. The number of air guide plates can be determined according to actual needs and may be one or more; this embodiment does not limit this. In some examples, multiple air guide plates may be provided on the turntable. The type of air guide plate can be determined according to actual needs and may be a single-layer air guide plate, a double-layer air guide plate, or a multi-layer air guide plate, etc.; this embodiment does not limit this.

[0084] With the above structural arrangement, the turntable can drive the entire air guide plate to deflect, and the air guide plate can further rotate relative to the turntable. The sweeping blades then oscillate on the air guide plate, thus forming a multi-degree-of-freedom air guiding and sweeping structure. The oscillation center axis of the sweeping blades is perpendicular to the rotation center axis of the air guide plate or inclined at a preset angle, which is conducive to forming a three-dimensional air delivery trajectory in space, increasing the air delivery coverage and airflow disturbance effect.

[0085] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, the computer program being loaded by a processor to execute the steps in the control method of any of the above embodiments.

[0086] For example, the aforementioned computer-readable storage media may include, but are not limited to: magnetic storage devices (e.g., hard disks, floppy disks, or magnetic tapes), optical discs (e.g., CDs (Compact Disks), DVDs (Digital Versatile Disks), etc.), smart cards, and flash memory devices (e.g., EPROMs (Erasable Programmable Read-Only Memory), cards, sticks, or key drives, etc.). The various computer-readable storage media described in the embodiments of this application may represent one or more devices and / or other machine-readable storage media for storing information. The term "machine-readable storage medium" may include, but is not limited to, wireless channels and various other media capable of storing, containing, and / or carrying instructions and / or data.

[0087] The above provides a detailed description of an air supply control method, apparatus, air conditioner, and computer-readable storage medium provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. An air supply control method, characterized in that, include: The actual wind guiding angle at each moment is determined based on the target wind guiding angle range and the wind guiding chaos equation. The actual sweep angle at each moment is determined based on the target sweep angle range and the sweep chaos equation. The air supply of the air conditioner is controlled according to the actual air guiding angle and the actual air sweeping angle at each moment.

2. The air supply control method according to claim 1, characterized in that, Before determining the actual windward angle at each moment based on the target windward angle range and the windward chaotic equation, and before determining the actual sweeping angle at each moment based on the target sweeping angle range and the sweeping chaotic equation, the air supply control method includes: Obtain user location; Based on the user's location, determine the target air guiding angle range and the target air sweeping angle range.

3. The air supply control method according to claim 1, characterized in that, The air conditioner includes a turntable, at least one air guide plate, and air sweeping blades. The at least one air guide plate is rotatably mounted on the turntable, and the air sweeping blades are oscillatingly mounted on the air guide plate. The oscillation center axis of the air sweeping blades is perpendicular or inclined to the rotation center axis of the air guide plate. The target air guiding angle range includes the target deflection angle range of the turntable and the target deflection angle range of the air guiding plate; the air guiding chaos equation includes the first air guiding chaos equation and the second air guiding chaos equation; and the actual air guiding angle includes the actual deflection angle of the turntable and the actual deflection angle of the air guiding plate. Based on the target windward angle range and the windward chaos equation, the actual windward angle at each moment is determined, including: Based on the target deflection angle range of the turntable and the first wind-guiding chaotic equation, the actual deflection angle of the turntable at each moment is determined; Based on the target deflection angle range of the air guide plate and the second air guide chaotic equation, the actual deflection angle of the air guide plate at each moment is determined.

4. The air supply control method according to claim 1, characterized in that, The air supply control method further includes: To obtain indoor temperature and humidity; Based on the indoor temperature, the indoor humidity, and the predicted comfort vote, determine the target constraint equation between the average wind speed and turbulence intensity; The target speed sequence of the indoor fan is determined based on the target constraint equation and preset constraint conditions. The indoor fan is controlled to operate according to the target speed sequence.

5. The air supply control method according to claim 4, characterized in that, Before determining the target constraint equation between the average wind speed and turbulence intensity based on the indoor temperature, the indoor humidity, and the predicted comfort vote, the air supply control method includes: The predicted average vote and predicted dissatisfaction percentage were determined based on the human thermal comfort model. The predicted comfort level vote value is determined based on the predicted percentage of dissatisfaction.

6. The air supply control method according to claim 4, characterized in that, The preset constraints include power spectral density exponent constraints, phase space reconstruction graph aspect ratio constraints, wind speed probability distribution constraints, and average wind speed constraints.

7. An air supply control device, characterized in that, include: The wind guiding angle calculation module is configured to determine the actual wind guiding angle at each moment based on the target wind guiding angle range and the wind guiding chaos equation. The sweep angle calculation module is configured to determine the actual sweep angle at each moment based on the target sweep angle range and the sweep chaos equation. The air supply control module is configured to control the air supply of the air conditioner based on the actual air guide angle and the actual air sweep angle at each moment.

8. An air conditioner, characterized in that, include: processor; A memory storing a computer program that, when executed by the processor, implements the air supply control method as described in any one of claims 1 to 6.

9. The air conditioner according to claim 8, characterized in that, The air conditioner includes a turntable, at least one air guide plate, and air sweeping blades. The at least one air guide plate is rotatably mounted on the turntable, and the air sweeping blades are oscillatingly mounted on the air guide plate. The oscillation center axis of the air sweeping blades and the rotation center axis of the air guide plate are perpendicular or inclined.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which is loaded by a processor to execute the steps of the air supply control method according to any one of claims 1 to 6.

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