Air conditioner control system and method

Abstract

The invention provides an air conditioner control system and method, and belongs to the technical field of air conditioner equipment. The air conditioner control system comprises a millimeter wave sensor, an air conditioner controller and an air conditioner; the millimeter wave sensor is configured to emit millimeter wave signals to the building environment where the air conditioner is located and receive reflection signals of the millimeter wave signals; the air conditioner controller is configured to perform feature extraction on the reflection signal to obtain a reflection sectional area feature and a Doppler frequency shift feature of the millimeter wave signal; according to the reflection sectional area characteristic and the Doppler frequency shift characteristic, determining the temperature difference of the areas of different heights where the user is located in the building environment; based on the temperature difference, air outlet parameters of the air conditioner are adjusted; and the air conditioner is configured to work based on the air outlet parameters. The temperature difference of the areas with different heights in the building environment of the user is considered, the accuracy of adjusting the air outlet parameters of the air conditioner based on the thermal comfort degree is improved, and the comfort degree of the user in the air conditioner environment is improved.

Description

Technical Field

[0001] This application belongs to the field of air conditioning equipment technology, and in particular relates to an air conditioning control system and method. Background Technology

[0002] Air conditioners, as common temperature control devices, play an increasingly important role in daily life. At the same time, user comfort has become a major concern. User comfort is typically expressed using the thermal comfort level of the building environment where the air conditioner is located. Accordingly, to ensure comfort, the air conditioner's outlet temperature is often controlled based on the thermal comfort level of the building environment.

[0003] In related technologies, information such as Predicted Mean Vote (PMV) and infrared sensor signals are used as indicators to assess the thermal comfort of the built environment. Accordingly, environmental thermal comfort is predicted based on PMV models and infrared sensors in the environment.

[0004] In the aforementioned technologies, the use of infrared sensors for temperature measurement is easily affected by obstructions, leading to inaccurate temperature measurements. Furthermore, the PMV model relies on fixed environmental parameters for calculation, while environmental parameters may vary at different locations within a building, resulting in inaccurate PMV model calculations. In summary, the current thermal comfort detection results are inaccurate, making it impossible to obtain accurate thermal comfort levels when controlling air conditioning based on thermal comfort indicators, ultimately causing poor user comfort. Summary of the Invention

[0005] The purpose of this application is to provide an air conditioning control system and method that aims to solve the problem of poor comfort in traditional air conditioning systems.

[0006] A first aspect of this application provides an air conditioning control system, the air conditioning control system comprising: a millimeter-wave sensor, an air conditioning controller, and an air conditioner;

[0007] The millimeter-wave sensor is configured to transmit millimeter-wave signals into the building environment where the air conditioner is located, and to receive reflected signals of the millimeter-wave signals.

[0008] The air conditioning controller is configured to extract features from the reflected signal to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter wave signal; determine the temperature difference between areas at different heights of the user in the building environment based on the reflection cross-sectional area features and Doppler frequency shift features; and adjust the air outlet parameters of the air conditioner based on the temperature difference.

[0009] The air conditioner is configured to operate based on the air outlet parameters.

[0010] In some embodiments, the temperature difference includes the temperature difference between areas at different altitudes in the area where the user is located;

[0011] The air conditioning control system is configured to establish a first temperature inversion model and a second temperature inversion model.

[0012] The first temperature of the first region is determined using the first temperature inversion model based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics.

[0013] Using the second temperature inversion model, based on the reflection cross-sectional area characteristics, the Doppler frequency shift characteristics, and the first temperature, the second temperature of the second region is determined, wherein the height of the first region is greater than the height of the second region;

[0014] The temperature difference between the first temperature and the second temperature is determined to obtain the temperature difference of the area where the user is located in the building environment.

[0015] In some embodiments, the air conditioning control system is configured to simultaneously measure the temperature of multiple sets of samples and the millimeter-wave signal reflection signal in an experimental environment;

[0016] Key features of the sample temperature and millimeter-wave signal reflection were screened using a random forest regression algorithm.

[0017] Based on the key features, the fitting coefficients of the temperature inversion model are determined, and the first temperature inversion model and the second temperature inversion model are obtained.

[0018] In some embodiments, the air conditioning controller is configured to determine thermal comfort parameters of the building environment where the air conditioner is located based on a first temperature and a second temperature, wherein the first temperature is the temperature of a first area, the second temperature is the temperature of a second area, the first area and the second area are areas at different heights of the user in the building environment, wherein the height of the first area is greater than the height of the second area;

[0019] The thermal comfort parameters are adjusted based on the temperature difference.

[0020] The air outlet parameters of the air conditioner are adjusted based on the adjusted thermal comfort parameters.

[0021] In some embodiments, the air conditioning controller is configured to determine the posture of a user in the building environment where the air conditioning is located;

[0022] The compensation parameters are determined based on the user's posture.

[0023] The thermal comfort parameters are adjusted based on the compensation parameters and the temperature difference.

[0024] In some embodiments, the air outlet parameters include air outlet temperature, air outlet velocity, and air outlet direction;

[0025] The air conditioner is configured to increase the outlet air temperature, decrease the outlet air speed, and adjust the outlet air direction upward when the adjusted thermal comfort parameter is less than a first preset parameter.

[0026] When the adjusted thermal comfort parameter is greater than the second preset parameter, the outlet air temperature is reduced, the outlet air speed is increased, and the outlet air direction is adjusted downward.

[0027] When the adjusted thermal comfort parameter is greater than or equal to the first preset parameter and less than or equal to the second preset parameter, the current air outlet parameter remains unchanged.

[0028] Wherein, the second preset parameter is greater than the first preset parameter.

[0029] In some embodiments, the air conditioning controller is configured to determine the parameter difference between the current thermal comfort parameter and the historical thermal comfort parameter, wherein the historical thermal comfort parameter is the thermal comfort parameter determined when the air outlet parameter was last adjusted;

[0030] Determine the time interval between this adjustment of the air outlet parameters and the previous adjustment of the air outlet parameters;

[0031] If the parameter difference is greater than the preset parameter difference and the time interval is greater than the first preset duration, then the action of adjusting the air outlet parameters of the air conditioner based on the adjusted thermal comfort parameters is performed.

[0032] If the parameter difference is greater than the preset parameter difference, and the time interval is less than or equal to the preset duration, then the adjustment range parameter is determined; the air outlet parameters of the air conditioner are adjusted based on the adjustment range parameter and the adjusted thermal comfort parameter.

[0033] The air conditioner will continue to operate at the current air output parameters for a second preset duration.

[0034] In some embodiments, the air conditioning control system further includes a display device;

[0035] The air conditioning controller is configured to generate a thermal comfort distribution map of the environment in which the air conditioner is located based on the reflection cross-sectional area characteristics and Doppler frequency shift characteristics;

[0036] The display device is configured to display the thermal comfort distribution map.

[0037] In some embodiments, the air conditioning controller further includes an infrared sensor;

[0038] The infrared sensor is configured to detect the temperature in the building environment;

[0039] The air conditioning controller is configured to acquire the temperature measured by the infrared sensor and use the temperature measured by the infrared sensor as a reference temperature.

[0040] The temperature difference is calibrated based on the reference temperature to obtain the calibrated temperature difference;

[0041] Based on the calibrated temperature difference, the air outlet parameters of the air conditioner are adjusted.

[0042] A second aspect of this application provides an air conditioning control method, the method comprising:

[0043] Collect reflected millimeter-wave signals from the building environment where the air conditioner is located;

[0044] Feature extraction is performed on the reflected signal to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter wave signal;

[0045] The temperature difference of the user's area in the building environment is determined based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics.

[0046] Based on the temperature difference, adjust the air outlet parameters of the air conditioner.

[0047] In some embodiments, the temperature difference is the temperature difference between areas at different altitudes where the user is located;

[0048] The step of determining the temperature difference between different heights of the user in the built environment based on the reflectance cross-sectional area characteristics and the Doppler frequency shift characteristics includes:

[0049] Establish a first temperature inversion model and a second temperature inversion model;

[0050] The first temperature of the first region is determined using the first temperature inversion model based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics.

[0051] Using the second temperature inversion model, based on the reflection cross-sectional area characteristics, the Doppler frequency shift characteristics, and the first temperature, the second temperature of the second region is determined, wherein the height of the first region is greater than the height of the second region;

[0052] The temperature difference between the first temperature and the second temperature is determined to obtain the temperature difference of the area where the user is located in the building environment.

[0053] In some embodiments, establishing the first temperature inversion model and the second temperature inversion model includes:

[0054] In the experimental environment, the temperature and millimeter-wave signal reflection of multiple sets of samples were measured simultaneously.

[0055] Key features of the sample temperature and millimeter-wave signal reflection were screened using a random forest regression algorithm.

[0056] Based on the key features, the fitting coefficients of the temperature inversion model are determined, and the first temperature inversion model and the second temperature inversion model are obtained.

[0057] In some embodiments, adjusting the air outlet parameters of the air conditioner based on the temperature difference includes:

[0058] Based on a first temperature and a second temperature, thermal comfort parameters of the building environment where the air conditioner is located are determined. The first temperature is the temperature of a first area, and the second temperature is the temperature of a second area. The first area and the second area are areas at different heights of the user in the building environment, wherein the height of the first area is greater than the height of the second area.

[0059] The thermal comfort parameters are adjusted based on the temperature difference.

[0060] The air outlet parameters of the air conditioner are adjusted based on the adjusted thermal comfort parameters.

[0061] In some embodiments, adjusting the thermal comfort parameter based on the temperature difference includes:

[0062] Determine the posture of the user in the building environment where the air conditioner is located;

[0063] The compensation parameters are determined based on the user's posture.

[0064] The thermal comfort parameters are adjusted based on the compensation parameters and the temperature difference.

[0065] In some embodiments, the air outlet parameters include air outlet temperature, air outlet velocity, and air outlet direction;

[0066] The step of adjusting the air outlet parameters of the air conditioner based on the temperature difference includes:

[0067] When the adjusted thermal comfort parameter is less than the first preset parameter, the outlet air temperature is increased, the outlet air speed is decreased, and the outlet air direction is adjusted upward.

[0068] When the adjusted thermal comfort parameter is greater than the second preset parameter, the outlet air temperature is reduced, the outlet air speed is increased, and the outlet air direction is adjusted downward.

[0069] When the adjusted thermal comfort parameter is greater than or equal to the first preset parameter and less than or equal to the second preset parameter, the current air outlet parameter remains unchanged.

[0070] Wherein, the second preset parameter is greater than the first preset parameter.

[0071] In some embodiments, the method further includes:

[0072] Determine the parameter difference between the current thermal comfort parameter and the historical thermal comfort parameter, wherein the historical thermal comfort parameter is the thermal comfort parameter determined when the air outlet parameter was last adjusted;

[0073] Determine the time interval between this adjustment of the air outlet parameters and the previous adjustment of the air outlet parameters;

[0074] If the parameter difference is greater than the preset parameter difference and the time interval is greater than the first preset duration, then the action of adjusting the air outlet parameters of the air conditioner based on the adjusted thermal comfort parameters is performed.

[0075] If the parameter difference is greater than the preset parameter difference, and the time interval is less than or equal to the preset duration, then the adjustment range parameter is determined; the air outlet parameters of the air conditioner are adjusted based on the adjustment range parameter and the adjusted thermal comfort parameter.

[0076] The air conditioner will continue to operate at the current air output parameters for a second preset duration.

[0077] In some embodiments, the method further includes:

[0078] Based on the reflection cross-sectional area characteristics and Doppler frequency shift characteristics, a thermal comfort distribution map of the environment where the air conditioner is located is generated;

[0079] The thermal comfort distribution map is shown.

[0080] In some embodiments, the method further includes: acquiring the temperature measured by an infrared sensor, and using the temperature measured by the infrared sensor as a reference temperature;

[0081] The temperature difference is calibrated based on the reference temperature to obtain the calibrated temperature difference;

[0082] Based on the calibrated temperature difference, the air outlet parameters of the air conditioner are adjusted.

[0083] A third aspect of this application provides an air conditioner, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the air conditioner control method described above.

[0084] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the air conditioning control method described above.

[0085] A fifth aspect of this application provides a computer program product that, when run on an electronic device, causes the electronic device to perform the air conditioning control method described above.

[0086] The beneficial effects of the embodiments of the present invention compared with the prior art are as follows:

[0087] In this embodiment, the temperature in the building environment where the air conditioner is located is determined by the signal characteristics of the reflected millimeter-wave signal. This avoids the problem of inaccurate temperature measurement in the building environment caused by factors such as clothing obstruction by infrared sensors, thereby improving the accuracy of temperature detection and thus improving the accuracy of determining thermal comfort based on temperature. Furthermore, the temperature difference in the user's area in the building environment is determined by the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the reflected millimeter-wave signal. The air outlet parameters of the air conditioner are adjusted according to this temperature difference. In this way, when determining thermal comfort, the temperature difference in the user's area at different heights in the building environment is considered, thereby improving the accuracy of the determined thermal comfort and further improving the accuracy of adjusting the air outlet parameters of the air conditioner based on thermal comfort, thus improving the user's comfort in the air-conditioned environment. Attached Figure Description

[0088] Figure 1 A schematic diagram of an air conditioning control system provided in an exemplary embodiment is shown;

[0089] Figure 2 A schematic diagram of the mounting location of a millimeter-wave sensor provided in an exemplary embodiment is shown;

[0090] Figure 3 A flowchart illustrating an exemplary embodiment of an air conditioning control method is shown.

[0091] Figure 4 A schematic diagram of an exemplary embodiment of an air conditioning control device is shown.

[0092] Figure 5 This is a schematic diagram of the structure of the air conditioner controller provided in an embodiment of the present invention. Detailed Implementation

[0093] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0094] 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 technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0095] Air conditioners, as common temperature control devices, play an increasingly important role in daily life. At the same time, user comfort has become a major concern. User comfort is typically expressed using the thermal comfort level of the building environment where the air conditioner is located. Accordingly, to ensure comfort, the air conditioner's outlet temperature is often controlled based on the thermal comfort level of the building environment.

[0096] In some embodiments, information such as Predicted Mean Vote (PMV) and signals from infrared sensors are used as indicators to assess the thermal comfort of the built environment. Accordingly, the thermal comfort of the environment is predicted based on an environmental PMV model, infrared sensors in the environment, etc.

[0097] However, using infrared sensors for temperature measurement is easily affected by obstructions, leading to inaccurate temperature measurements. Furthermore, the PMV model relies on fixed environmental parameters for calculation, while environmental parameters may vary at different locations within the building environment, resulting in inaccurate PMV model calculations.

[0098] In summary, the current thermal comfort test results are inaccurate, which makes it impossible to obtain accurate thermal comfort when controlling air conditioning based on thermal comfort indicators, ultimately resulting in poor user comfort.

[0099] To improve the accuracy of thermal comfort measurement, this application provides an air conditioning control method, system, and storage medium. It measures the temperature in the building environment where the air conditioner is located using millimeter-wave signals. This avoids the inaccurate temperature measurement caused by factors such as clothing obstruction by infrared sensors, thus improving the accuracy of temperature detection and consequently the accuracy of determining thermal comfort based on temperature. Furthermore, it determines the temperature difference in the user's area within the building environment using the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the millimeter-wave signal. The air conditioner's airflow parameters are then adjusted based on this temperature difference. This approach considers the temperature differences in different areas of the building environment when determining thermal comfort, further improving the accuracy of the determined thermal comfort level and the accuracy of adjusting the air conditioner's airflow parameters based on thermal comfort, ultimately enhancing user comfort in the air-conditioned environment.

[0100] The present application will now be described with reference to specific embodiments. See below. Figure 1 This illustrates a schematic diagram of an air conditioning control system provided in an exemplary embodiment. See also... Figure 1 The air conditioning control system includes a millimeter-wave sensor 10, an air conditioning controller 20, and an air conditioner 30.

[0101] The millimeter-wave sensor 10 is communicatively connected to the air conditioner controller 20, and the air conditioner controller 20 is connected to the air conditioner 30.

[0102] The millimeter-wave sensor 10 is configured to transmit millimeter-wave signals into the building environment where the air conditioner 30 is located, and to receive reflected signals from the millimeter-wave signals. The air conditioner controller 20 is configured to extract features from the reflected signals to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter-wave signals; determine the temperature difference between areas at different heights of the user in the building environment based on the reflection cross-sectional area features and the Doppler frequency shift features; adjust the air outlet parameters of the air conditioner 30 based on the temperature difference; and configure the air conditioner 30 to operate based on the air outlet parameters.

[0103] In some embodiments, the millimeter-wave sensor 10 extracts the reflection cross-sectional area features and Doppler frequency shift features of the reflected signal, and sends the reflection cross-sectional area features and Doppler frequency shift features to the air conditioning controller 20; correspondingly, the air conditioning controller 20 receives the reflection cross-sectional area features and Doppler frequency shift features. In other embodiments, the millimeter-wave sensor 10 sends the reflected signal to the air conditioning controller 20; correspondingly, the air conditioning controller 20 receives the reflected signal sent by the millimeter-wave sensor 10.

[0104] It should be noted that the number of millimeter-wave sensors 10 can be set as needed, and in this embodiment, the number of millimeter-wave sensors 10 is not specifically limited. For example, the number of millimeter-wave sensors 10 can be 2, 3, 4, or 5, etc. Furthermore, the installation position of the millimeter-wave sensors 10 can be set as needed, and in this embodiment, the installation position of the millimeter-wave sensors 10 is not specifically limited. Moreover, the installation height of the multiple millimeter-wave sensors 10 can be set as needed, and the installation height of the multiple millimeter-wave sensors 10 can be the same or different; in this embodiment, this is not specifically limited. For example, the installation height of the multiple millimeter-wave sensors 10 can be 0.5 meters, 1 meter, 2 meters, or 2.5 meters, etc. For example, see... Figure 2 This illustration shows a schematic diagram of the mounting position of a millimeter-wave sensor provided in an exemplary embodiment. In this embodiment, the installation of two millimeter-wave sensors 10 is used as an example for explanation. Figure 2 As shown, the two millimeter-wave sensors 10 are installed at the same height, which is 2.2 ± 0.1 meters.

[0105] Furthermore, the spacing between each pair of millimeter-wave sensors 10 can be set according to the coverage area of ​​the millimeter-wave sensors 10 to ensure that the millimeter-wave signal can be covered in the building environment where the air conditioner 30 is located. For example, the overlap rate of the coverage areas between two millimeter-wave sensors 10 is set to be no less than a preset value, and the distance between the millimeter-wave sensors 10 is determined according to this preset value. This preset value can be set as needed, and in this embodiment, it is not specifically limited. For example, the preset value can be 30%, 35%, or 40%, etc. Correspondingly, the spacing between the millimeter-wave sensors 10 can be set to 5 meters, 4 meters, or 3 meters, etc.

[0106] Furthermore, the depression angle of the plurality of millimeter-wave sensors 10 can be set as needed, and the depression angles of the plurality of millimeter-wave sensors 10 can be the same or different. In this embodiment of the application, the depression angle of the plurality of millimeter-wave sensors 10 is not specifically limited. For example, the depression angle of the millimeter-wave sensor 10 can be 12°, 11°, 10°, 13° or 14°, etc.

[0107] The frequency band of the millimeter wave emitted by the millimeter wave sensor 10 can be set as needed. In this embodiment, the millimeter wave frequency is set to a band that can penetrate clothing of a preset thickness. For example, the millimeter wave frequency band can be set to 60-64 GHz. Furthermore, other parameters of the millimeter wave can be set as needed; in this embodiment, the parameters of the millimeter wave are not specifically limited. For example, the beamwidth of the millimeter wave can be 30° horizontally and 15° vertically; the data output frame rate of the millimeter wave can be 30 fps, etc.

[0108] It should be noted that the millimeter-wave sensor 10 can be a millimeter-wave sensor 10 integrated on the air conditioner 30; or, the millimeter-wave sensor 10 can be a millimeter-wave sensor 10 independent of the air conditioner 30. In the embodiments of this application, no specific limitation is made.

[0109] The air conditioning controller 20 is configured to receive the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the reflected signal. Alternatively, the air conditioning controller 20 is configured to receive the reflected signal transmitted by the millimeter-wave sensor 10, perform feature extraction on the reflected signal, and obtain the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the reflected signal. Based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics, the air conditioning controller 20 determines the temperature difference in the user's area within the building environment; based on this temperature difference, it adjusts the air outlet parameters of the air conditioner 30.

[0110] In some embodiments, the temperature difference is the temperature difference between areas at different heights in the user's area; the air conditioner 30 is configured to establish a first temperature inversion model and a second temperature inversion model; using the first temperature inversion model, a first temperature of the first area is determined based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics; using the second temperature inversion model, a second temperature of the second area is determined based on the reflection cross-sectional area characteristics, the Doppler frequency shift characteristics, and the first temperature, wherein the height of the first area is greater than the height of the second area; the difference between the first temperature and the second temperature is determined to obtain the temperature difference of the user's area in the building environment.

[0111] Since human skin is positively correlated with the intensity of thermal radiation, and the reflection area of ​​millimeter-wave signals is related to the dielectric properties of the object's surface, and dielectric properties change with temperature—that is, the higher the temperature, the higher the water content of human skin, the higher the dielectric constant of human skin, and the larger the reflection cross-section of millimeter-wave signals by the human body—this can be expressed by formula 1.

[0112] Formula 1: RCS(T) = A e^{B T}

[0113] Where T represents temperature, RCS(T) represents the cross-sectional area of ​​the human body reflecting millimeter-wave signals at temperature T, and A and B are material constants, which are calibrated experimentally.

[0114] In addition, the speed of human movement is related to the heat generated by metabolism, and the metabolic rate affects the surface temperature of the human body. For example, the temperature of the body is lower when walking than when sitting. Therefore, in this embodiment, the target movement speed is represented by Doppler frequency shift characteristics.

[0115] In some embodiments, the polarization characteristics of the millimeter-wave signal can also be extracted to distinguish different materials of the reflective cross section, such as clothing and skin.

[0116] In some embodiments, the air conditioning controller 20 is configured to simultaneously measure the temperature of multiple samples and the millimeter-wave signal reflection signal in an experimental environment; screen the key features of the sample temperature and the millimeter-wave signal reflection signal using a random forest regression algorithm; and determine the fitting coefficients of the temperature inversion model based on the key features to obtain the first temperature inversion model and the second temperature inversion model.

[0117] Before determining the temperature of the building environment where the air conditioner 30 is located through the relevant characteristics of the millimeter-wave reflection signal, it is necessary to calibrate the inversion model between the relevant characteristics of the millimeter-wave reflection signal and the temperature, that is, to determine the relationship between the temperature and the characteristics of the millimeter-wave reflection signal. In this implementation, the temperature inversion model is calibrated in advance, so that the sample temperature and the millimeter-wave signal reflection signal are measured simultaneously in the temperature control laboratory. The sample temperature can be, for example, human skin temperature. Specifically, the sample temperature includes the temperature of a first region and the temperature of a second region; for example, the sample temperature includes head temperature and foot temperature. The number of samples for the sample temperature and the millimeter-wave signal reflection signal can be set as needed; in this embodiment, the number of samples is not specifically limited. For example, the number of samples can be 100, 150, or 200, etc.

[0118] After sample collection is completed, the correspondence between sample temperature and millimeter-wave signal reflection can be calibrated. In this embodiment, the calibration method is not specifically limited. For example, a random forest regression algorithm can be used to calibrate the correspondence between the sample temperature and the millimeter-wave signal reflection, obtaining a first temperature inversion model and a second temperature inversion model. Referring to Equations 2 and 3, the first temperature inversion model can be expressed by Equation 2, and the second temperature inversion model can be expressed by Equation 3.

[0119] Formula 2: T_1 = a + b*RCS - c*(Δf)**d

[0120] Formula 3: T_2=T_1-m*(Δf / RCS)**n

[0121] Where T_1 represents the first temperature corresponding to the first region, T_2 represents the second temperature corresponding to the second region, a, b, c, d, m and n are the relationship parameters between temperature and millimeter wave signal characteristics obtained through calibration, RCS represents the reflection cross-sectional area characteristic of the millimeter wave signal, and Δf represents the Doppler frequency shift characteristic of the millimeter wave signal.

[0122] In some embodiments, the air conditioning control system further includes an infrared sensor, which may be an infrared sensor integrated into the air conditioner 30 or an infrared sensor independent of the air conditioner 30. The infrared sensor is positioned within the building environment where the air conditioner 30 is located to detect the temperature of that environment.

[0123] Accordingly, after acquiring the first temperature and the second temperature, the air conditioning controller 20 can also calibrate the first temperature and the second temperature using the temperature obtained from the infrared sensor. The temperature detected by the infrared sensor is used as a weighting term, and the temperature detected by the millimeter-wave sensor 10 is compensated through difference compensation, thereby preventing the millimeter-wave signal from drifting due to environmental factors, including temperature, obstruction, etc. The first temperature is the temperature of a first area, and the second temperature is the temperature of a second area. The first area and the second area represent areas at different heights of the user in the building environment, where the height of the first area is greater than the height of the second area. Accordingly, the infrared sensor is configured to detect the temperature in the building environment; the air conditioning controller 20 is configured to acquire the temperature measured by the infrared sensor; calibrate the temperature difference based on the temperature measured by the infrared sensor to obtain a calibrated temperature difference; and adjust the air outlet parameters of the air conditioner 30 based on the calibrated temperature difference. See Formula 4, which illustrates a temperature calibration mechanism provided by an exemplary embodiment.

[0124] Formula 4: T_{final}=T_{radar}+\alpha\cdot(T_{IR}-T_{radar})

[0125] Where T_{final} is the calibrated temperature, T_{radar} is the temperature detected by millimeter-wave signal, which is either the first temperature or the second temperature in this embodiment, T_{IR} is the temperature detected by infrared sensor, i.e., the calibration reference, and alpha(α) is a parameter that is dynamically adjusted according to environmental stability.

[0126] In some embodiments, the air conditioning controller 20 is configured to determine the thermal comfort parameters of the building environment where the air conditioner 30 is located based on a first temperature and a second temperature; adjust the thermal comfort parameters based on the temperature difference; and adjust the air outlet parameters of the air conditioner 30 based on the adjusted thermal comfort parameters.

[0127] The method by which the air conditioning controller 20 determines thermal comfort parameters based on the current temperature can be selected as needed. In this embodiment, the method for determining thermal comfort is not specifically limited.

[0128] It should be noted that a temperature value is required as a calculation parameter when determining the thermal comfort parameters. The air conditioning controller 20 can determine the thermal comfort parameters of the building environment where the air conditioner 30 is located based on the average of the first temperature and the second temperature, using this average as the calculation parameter. Alternatively, the air conditioning controller 20 can also determine the highest or lowest temperature from the second temperature and the second temperature as the calculation parameter to determine the thermal comfort parameters of the building environment where the air conditioner 30 is located. Alternatively, the air conditioning controller 20 can also randomly select the first temperature and the second temperature as the calculation parameter to determine the thermal comfort parameters of the building environment where the air conditioner 30 is located. In this embodiment, no specific limitations are made.

[0129] In some embodiments, the air conditioning controller 20 is configured to determine the posture of a user in the building environment where the air conditioner 30 is located; determine compensation parameters based on the user's posture; and adjust the thermal comfort parameters based on the compensation parameters and the temperature difference.

[0130] The air conditioning controller 20 can determine the user's posture in the building environment using any posture analysis method. For example, the air conditioning controller 20 can determine the user's posture using a posture detector, or it can determine the user's posture using a posture detection method. In this embodiment, the method for determining the user's posture is not specifically limited. Furthermore, in this embodiment, the number and types of detectable user postures can be set as needed, and the number and types of detected user postures are not specifically limited. For example, the user's posture includes at least one of sitting, standing, and walking.

[0131] In this embodiment, the thermal comfort parameter is linearly compensated based on the temperature gradient change. At the same time, the thermal comfort parameter is also compensated based on the rate of change of the temperature gradient over time (i.e., dynamic difference), see Formula 6.

[0132] Formula Six:

[0133] Where PMV′ represents the compensated thermal comfort parameter. PMV(ISO) represents the uncompensated thermal comfort parameter, which can be determined by a first temperature, a second temperature, or the average of the first and second temperatures. k and λ are compensation parameters, t represents time, and ΔT v This represents the temperature difference between the first temperature and the second temperature.

[0134] The compensation parameter can be a parameter group consisting of at least one parameter, and the specific limitation on the compensation parameter is not made in this embodiment. In some embodiments, those skilled in the art pre-determine the correspondence between the user's posture and the compensation parameter, and store the correspondence as a correspondence table. Accordingly, the air conditioner controller 20 calls the correspondence table to determine the compensation parameter corresponding to the current posture. See Table 1, which shows the correspondence between the user's posture and the compensation parameter provided in an exemplary embodiment.

[0135] Table 1

[0136] User's attitude Compensation parameter k Compensation parameter λ Meditation 0.05 0.1 Standing 0.03 0.2 walk 0.02 0.3

[0137] Referring to Table 1, when the user's posture is sitting, the compensation parameter k is 0.05 and the compensation parameter λ is 0.1; when the user's posture is standing, the compensation parameter k is 0.03 and the compensation parameter λ is 0.2; when the user's posture is walking, the compensation parameter k is 0.02 and the compensation parameter λ is 0.3.

[0138] In some embodiments, the air outlet parameters include air outlet temperature, air outlet velocity, and air outlet direction. The air conditioning controller 20 sends the air outlet parameters to the air conditioner 30, which is configured to receive the air outlet parameters sent by the air conditioning controller 20 and distribute air to the building environment where the air conditioner 30 is located based on the air outlet parameters. The air conditioner 30 is configured to, when the adjusted thermal comfort parameter is less than a first preset parameter, reduce the air outlet temperature, increase the air outlet velocity, and adjust the air outlet direction downwards; when the adjusted thermal comfort parameter is greater than a second preset parameter, increase the air outlet temperature, reduce the air outlet velocity, and adjust the air outlet direction upwards; and when the adjusted thermal comfort parameter is greater than or equal to the first preset parameter and less than or equal to the second preset parameter, maintain the current air outlet parameters unchanged; wherein the second preset parameter is greater than the first preset parameter.

[0139] The air outlet parameters include various parameters used to control the air outlet of the air conditioner 30, such as outlet air temperature, outlet air velocity, and outlet air direction. The correspondence between these air outlet parameters and the thermal comfort parameters can be set as needed; however, in this embodiment, the correspondence is not specifically limited. For example, see Table 2, which shows the correspondence between thermal comfort and outlet air temperature, outlet air velocity, and outlet air direction provided by an exemplary embodiment.

[0140] Table 2

[0141] The range of thermal comfort parameters Air outlet temperature Airflow speed Wind direction First preset parameter, second preset parameter maintain maintain maintain Greater than the second preset parameter decline improve Deflect downwards Less than the first preset parameter rise decline deflect upward

[0142] The first and second preset parameters can be set as needed. In this embodiment, the first and second preset parameters are not specifically limited. For example, the first preset parameter is -0.5 and the second preset parameter is 0.5.

[0143] It should be noted that the thermal comfort parameter should be within a preset reasonable range. When the thermal comfort parameter exceeds this reasonable range, the air conditioning controller 20 determines that a fault has occurred, generates a fault report, and prompts that a fault has occurred. This reasonable range can be set as needed; in this embodiment, the range is not specifically limited. For example, the range can be [-1.5, 1.5].

[0144] Another point to note is that the outlet air temperature, outlet air velocity, and outlet air direction can be adjusted according to the corresponding adjustment range based on the thermal comfort value. For example, if the first preset parameter is -0.5 and the second preset parameter is 0.5, when the thermal comfort parameter is within the range of (+0.5, +1.5), the temperature will be reduced by 0.5 to 1℃. That is, the temperature reduction range is determined according to the correspondence between the thermal comfort parameter and the range of temperature reduction.

[0145] In some embodiments, to prevent the air conditioner controller 20 from frequently adjusting the air outlet parameters, this application also provides an anti-vibration mechanism. Accordingly, the air conditioner controller 20 is configured to determine the parameter difference between the current thermal comfort parameter and the historical thermal comfort parameter, the historical thermal comfort parameter being the thermal comfort parameter determined when the air outlet parameters were last adjusted; determine the time interval between the current adjustment of the air outlet parameters and the last adjustment of the air outlet parameters; if the parameter difference is greater than a preset parameter difference and the time interval is greater than a first preset duration, then perform the action of adjusting the air outlet parameters of the air conditioner 30 based on the adjusted thermal comfort parameters; if the parameter difference is greater than the preset parameter difference and the time interval is less than or equal to the preset duration, then determine the adjustment range parameter; adjust the air outlet parameters of the air conditioner 30 based on the adjustment range parameter and the adjusted thermal comfort parameters; and maintain the air conditioner 30 operating with the current air outlet parameters for a second preset duration.

[0146] If the absolute value of the change in the currently calculated thermal comfort parameter (PMV') compared to the previously recorded thermal comfort parameter (last_PMV') exceeds the preset parameter difference, and the time interval since the last adjustment is less than the first preset duration, it indicates that the thermal comfort parameter has fluctuated significantly within a short period of time. Therefore, the air outlet parameter needs to be readjusted. However, since the adjustment interval is short, the adjustment range should be adjusted appropriately.

[0147] The preset parameter difference can be determined based on changes in thermal comfort perceptible to the human body. In this embodiment, the preset parameter difference is not specifically limited. For example, the preset parameter difference can be 0.2, 0.3, or 0.25. The first preset duration can be set as needed. In this embodiment, the first preset duration is not specifically limited. For example, the first preset duration can be 300 seconds, 350 seconds, or 400 seconds. The adjustment range parameter can be set as needed. In this embodiment, the adjustment range parameter is not specifically limited. For example, the adjustment range parameter can be 0.7, 0.5, or 0.6. The second preset duration can also be set as needed. In this embodiment, the second preset duration is not specifically limited. For example, the second preset duration can be 150 seconds or 200 seconds.

[0148] In this implementation, by introducing an anti-vibration mechanism, the problem of increased power consumption caused by frequent adjustments to the air outlet parameters of the air conditioner 30 is prevented, thereby saving energy consumption of the air conditioner 30 while ensuring comfort.

[0149] In some embodiments, the air conditioning control system further includes a display device. The air conditioning controller 20 is configured to generate a thermal comfort distribution map of the environment in which the air conditioner 30 is located based on the reflective cross-sectional area characteristics and Doppler frequency shift characteristics; the display device is configured to display the thermal comfort distribution map. The display device can be a display panel provided with the air conditioner 30, or a user terminal with display functionality associated with the air conditioner 30.

[0150] In this embodiment, the temperature in the building environment where the air conditioner is located is determined by the signal characteristics of the reflected millimeter-wave signal. This avoids the problem of inaccurate temperature measurement in the building environment caused by factors such as clothing obstruction by infrared sensors, thereby improving the accuracy of temperature detection and thus improving the accuracy of determining thermal comfort based on temperature. Furthermore, the temperature difference in the user's area in the building environment is determined by the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the reflected millimeter-wave signal. The air outlet parameters of the air conditioner are adjusted according to this temperature difference. In this way, the temperature difference in different areas of the user's building environment is considered when determining thermal comfort, thereby improving the accuracy of the determined thermal comfort and further improving the accuracy of adjusting the air outlet parameters of the air conditioner based on thermal comfort, thus improving the user's comfort in the air-conditioned environment.

[0151] The implementation process of this application will be described below with reference to specific embodiments. Figure 3 The diagram illustrates a flowchart of an air conditioning control method provided by an exemplary embodiment. This method is applied, by way of example and not limitation, to the aforementioned air conditioning control system.

[0152] S301, the air conditioning control system collects the reflected signals of millimeter-wave signals in the building environment where the air conditioner is located.

[0153] The system transmits millimeter-wave signals into the building environment where the air conditioner is located using a millimeter-wave sensor, and receives the reflected signals of those millimeter-wave signals.

[0154] S302, the air conditioning control system extracts features from the reflected signal to obtain the reflection cross-sectional area and Doppler frequency shift features of the millimeter wave signal.

[0155] Since human skin is positively correlated with the intensity of thermal radiation, and the reflection area of ​​millimeter-wave signals is related to the dielectric properties of the object's surface, and dielectric properties change with temperature—that is, the higher the temperature, the higher the water content of human skin, the higher the dielectric constant of human skin, and the larger the reflection cross-section of millimeter-wave signals by the human body—this can be expressed by formula 1.

[0156] Formula 1: RCS(T) = A e^{B T}

[0157] Where T represents temperature, RCS(T) represents the cross-sectional area of ​​the human body reflecting millimeter-wave signals at temperature T, and A and B are material constants, which are calibrated experimentally.

[0158] In addition, the speed of human movement is related to the heat generated by metabolism, and the metabolic rate affects the surface temperature of the human body. For example, the temperature of the body is lower when walking than when sitting. Therefore, in this embodiment, the target movement speed is represented by Doppler frequency shift characteristics.

[0159] Therefore, in this embodiment of the application, the reflection cross-sectional area feature and Doppler frequency shift feature are obtained by feature extraction of the reflected signal of the millimeter wave signal.

[0160] In some embodiments, the polarization characteristics of the millimeter-wave signal can also be extracted to distinguish different materials of the reflective cross section, such as clothing and skin.

[0161] S303, the air conditioning control system determines the temperature difference between different heights of the user in the building environment based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics.

[0162] Before determining the temperature of the building environment where the air conditioner is located using the relevant characteristics of the millimeter-wave reflection signal, it is necessary to calibrate the inversion model between the relevant characteristics of the millimeter-wave reflection signal and the temperature, that is, to determine the relationship between the temperature and the characteristics of the millimeter-wave reflection signal. Accordingly, in the experimental environment, multiple sets of sample temperatures and millimeter-wave signal reflection signals are measured simultaneously; the key features of the sample temperature and millimeter-wave signal reflection signals are screened using a random forest regression algorithm; based on these key features, the fitting coefficients of the temperature inversion model are determined, resulting in the first temperature inversion model and the second temperature inversion model.

[0163] In this implementation, the temperature inversion model is calibrated beforehand, allowing for simultaneous measurement of sample temperature and millimeter-wave signal reflection in a temperature-controlled laboratory. The sample temperature can be, for example, human skin temperature. Specifically, the sample temperature includes the temperature of a first region and the temperature of a second region; for example, it includes head temperature and foot temperature. The number of samples for both the sample temperature and the millimeter-wave signal reflection can be set as needed; in this embodiment, the number of samples is not specifically limited. For example, the number of samples can be 100, 150, or 200.

[0164] After sample collection is completed, the correspondence between sample temperature and millimeter-wave signal reflection can be calibrated. In this embodiment, the calibration method is not specifically limited. For example, a random forest regression algorithm can be used to calibrate the correspondence between the sample temperature and the millimeter-wave signal reflection, obtaining a first temperature inversion model and a second temperature inversion model. Referring to Equations 2 and 3, the first temperature inversion model can be expressed by Equation 2, and the second temperature inversion model can be expressed by Equation 3.

[0165] Formula 2: T_1 = a + b*RCS - c*(Δf)**d

[0166] Formula 3: T_2=T_1-m*(Δf / RCS)**n

[0167] Where T_1 represents the first temperature corresponding to the first region, T_2 represents the second temperature corresponding to the second region, a, b, c, d, m and n are the relationship parameters between temperature and millimeter wave signal characteristics obtained through calibration, RCS represents the reflection cross-sectional area characteristic of the millimeter wave signal, and Δf represents the Doppler frequency shift characteristic of the millimeter wave signal.

[0168] In some embodiments, after acquiring a first temperature and a second temperature, the air conditioning control system can further calibrate the first and second temperatures using the temperature obtained from an infrared sensor. The temperature detected by the infrared sensor is used as a weighted factor, and differential compensation is applied to compensate for the temperature detected by the millimeter-wave sensor, thereby preventing temperature drift caused by environmental factors, including temperature and obstruction. The first temperature is the temperature of a first region, and the second temperature is the temperature of a second region. The first and second regions represent areas at different heights of the user within the building environment, with the first region being at a greater height than the second region. Accordingly, the infrared sensor is configured to detect the temperature in the building environment; the air conditioning controller is configured to acquire the temperature measured by the infrared sensor; calibrate the temperature difference based on the temperature measured by the infrared sensor to obtain a calibrated temperature difference; and adjust the air outlet parameters of the air conditioner based on the calibrated temperature difference. See Formula 4, which illustrates a temperature calibration mechanism provided by an exemplary embodiment.

[0169] Formula 4: T_{final}=T_{radar}+\alpha\cdot(T_{IR}-T_{radar})

[0170] Where T_{final} is the calibrated temperature, T_{radar} is the temperature detected by millimeter-wave signal, which is either the first temperature or the second temperature in this embodiment, T_{IR} is the temperature detected by infrared sensor, i.e., the calibration reference, and alpha(α) is a parameter that is dynamically adjusted according to environmental stability.

[0171] S304, The air conditioning control system adjusts the air outlet parameters of the air conditioner based on this temperature difference.

[0172] In some embodiments, the air conditioning control system determines the thermal comfort parameters of the building environment where the air conditioner is located based on a first temperature and a second temperature; adjusts the thermal comfort parameters based on the temperature difference; and adjusts the air outlet parameters of the air conditioner based on the adjusted thermal comfort parameters.

[0173] The method by which the air conditioning controller determines thermal comfort parameters based on the current temperature can be selected as needed. In this embodiment, the method for determining thermal comfort is not specifically limited.

[0174] It should be noted that a temperature value is required as a calculation parameter when determining thermal comfort parameters. The air conditioning controller can determine the thermal comfort parameters of the building environment where the air conditioner is located based on the average of the first temperature and the second temperature. Alternatively, the air conditioning controller can determine the highest or lowest temperature from the second temperature and the second temperature as a calculation parameter to determine the thermal comfort parameters of the building environment where the air conditioner is located. Alternatively, the air conditioning controller can randomly select the first temperature and the second temperature as calculation parameters to determine the thermal comfort parameters of the building environment where the air conditioner is located. In this embodiment, no specific limitations are made in this regard.

[0175] In some embodiments, the air conditioning control system can also dynamically compensate for the thermal comfort by incorporating the user's posture in the environment. Accordingly, the air conditioning control system determines the user's posture in the building environment where the air conditioner is located; determines compensation parameters based on the user's posture; and adjusts the thermal comfort parameters based on the compensation parameters and the temperature difference.

[0176] An air conditioning control system can determine a user's posture in a building environment using any posture analysis method. For example, the air conditioning control system can determine the user's posture using a posture detector, or it can determine the user's posture using a posture detection method. In this embodiment, the method for determining the user's posture is not specifically limited. Furthermore, in this embodiment, the number and types of detectable user postures can be set as needed, and the number and types of detected user postures are not specifically limited. For example, a user's posture may include at least one of sitting, standing, and walking.

[0177] In this embodiment, the thermal comfort parameter is linearly compensated based on the temperature gradient change. At the same time, the thermal comfort parameter is also compensated based on the rate of change of the temperature gradient over time (i.e., dynamic difference), see Formula 6.

[0178] Formula Six:

[0179] Where PMV′ represents the compensated thermal comfort parameter. PMV(ISO) represents the uncompensated thermal comfort parameter, which can be determined by a first temperature, a second temperature, or the average of the first and second temperatures. k and λ are compensation parameters, t represents time, and ΔT v This represents the temperature difference between the first temperature and the second temperature.

[0180] The compensation parameter can be a parameter group consisting of at least one parameter, and the specific limitation on the compensation parameter is not specified in this embodiment. In some embodiments, relevant technicians pre-determine the correspondence between the user's posture and the compensation parameter, and store the correspondence as a correspondence table. Accordingly, the air conditioning control system calls the correspondence table to determine the compensation parameter corresponding to the current posture.

[0181] In some embodiments, the air outlet parameters include air outlet temperature, air outlet velocity, and air outlet direction. The air conditioning controller sends the air outlet parameters to the air conditioner, which is configured to receive the air outlet parameters sent by the air conditioning controller and distribute air to the building environment based on the air outlet parameters. When the adjusted thermal comfort parameter is less than a first preset parameter, the air conditioning control system lowers the air outlet temperature, increases the air outlet velocity, and adjusts the air outlet direction downwards. When the adjusted thermal comfort parameter is greater than a second preset parameter, the air conditioning control system increases the air outlet temperature, lowers the air outlet velocity, and adjusts the air outlet direction upwards. When the adjusted thermal comfort parameter is greater than or equal to the first preset parameter and less than or equal to the second preset parameter, the air conditioning control system maintains the current air outlet parameters unchanged. The second preset parameter is greater than the first preset parameter.

[0182] The air outlet parameters include various parameters used to control the airflow from the air conditioner, such as outlet temperature, outlet air velocity, and outlet air direction. The correspondence between these air outlet parameters and the thermal comfort parameters can be set as needed; however, in this embodiment, the correspondence is not specifically limited.

[0183] The first and second preset parameters can be set as needed. In this embodiment, the first and second preset parameters are not specifically limited. For example, the first preset parameter is -0.5 and the second preset parameter is 0.5.

[0184] It should be noted that the thermal comfort parameter should be within a preset reasonable range. When the thermal comfort parameter exceeds this reasonable range, the air conditioning controller determines that a fault has occurred, generates a fault report, and indicates that a fault has occurred. This reasonable range can be set as needed; in this embodiment, the range is not specifically limited. For example, the range can be [-1.5, 1.5].

[0185] Another point to note is that the outlet air temperature, outlet air velocity, and outlet air direction can be adjusted according to the corresponding adjustment range based on the thermal comfort value. For example, if the first preset parameter is -0.5 and the second preset parameter is 0.5, when the thermal comfort parameter is within the range of (+0.5, +1.5), the temperature will be reduced by 0.5 to 1℃. That is, the temperature reduction range is determined according to the correspondence between the thermal comfort parameter and the range of temperature reduction.

[0186] In some embodiments, to prevent the air conditioner controller from frequently adjusting the air outlet parameters, this application also provides an anti-vibration mechanism. Accordingly, the air conditioner control system determines the parameter difference between the current thermal comfort parameter and the historical thermal comfort parameter, where the historical thermal comfort parameter is the thermal comfort parameter determined when the air outlet parameters were last adjusted; determines the time interval between the current adjustment of the air outlet parameters and the previous adjustment of the air outlet parameters; if the parameter difference is greater than a preset parameter difference and the time interval is greater than a first preset duration, then the air outlet parameters of the air conditioner are adjusted based on the adjusted thermal comfort parameters; if the parameter difference is greater than the preset parameter difference and the time interval is less than or equal to the preset duration, then an adjustment range parameter is determined; the air outlet parameters of the air conditioner are adjusted based on the adjustment range parameter and the adjusted thermal comfort parameters; and the air conditioner is kept operating with the current air outlet parameters for a second preset duration.

[0187] If the absolute value of the change in the currently calculated thermal comfort parameter (PMV') compared to the previously recorded thermal comfort parameter (last_PMV') exceeds the preset parameter difference, and the time interval since the last adjustment is less than the first preset duration, it indicates that the thermal comfort parameter has fluctuated significantly within a short period of time. Therefore, the air outlet parameter needs to be readjusted. However, since the adjustment interval is short, the adjustment range should be adjusted appropriately.

[0188] The preset parameter difference can be determined based on changes in thermal comfort perceptible to the human body. In this embodiment, the preset parameter difference is not specifically limited. For example, the preset parameter difference can be 0.2, 0.3, or 0.25. The first preset duration can be set as needed. In this embodiment, the first preset duration is not specifically limited. For example, the first preset duration can be 300 seconds, 350 seconds, or 400 seconds. The adjustment range parameter can be set as needed. In this embodiment, the adjustment range parameter is not specifically limited. For example, the adjustment range parameter can be 0.7, 0.5, or 0.6. The second preset duration can also be set as needed. In this embodiment, the second preset duration is not specifically limited. For example, the second preset duration can be 150 seconds or 200 seconds.

[0189] In this implementation, an anti-vibration mechanism is introduced to prevent the problem of increased power consumption caused by frequent adjustments to the air conditioning output parameters, thereby saving air conditioning energy while ensuring comfort.

[0190] In some embodiments, the air conditioning control system generates a thermal comfort distribution map of the environment in which the air conditioner is located based on the reflection cross-sectional area characteristics and Doppler frequency shift characteristics; and displays the thermal comfort distribution map.

[0191] In this embodiment, the temperature in the building environment where the air conditioner is located is determined by the signal characteristics of the reflected millimeter-wave signal. This avoids the problem of inaccurate temperature measurement in the building environment caused by factors such as clothing obstruction by infrared sensors, thereby improving the accuracy of temperature detection and thus improving the accuracy of determining thermal comfort based on temperature. Furthermore, the temperature difference in the user's area in the building environment is determined by the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the reflected millimeter-wave signal. The air outlet parameters of the air conditioner are adjusted according to this temperature difference. In this way, the temperature difference in different areas of the user's building environment is considered when determining thermal comfort, thereby improving the accuracy of the determined thermal comfort and further improving the accuracy of adjusting the air outlet parameters of the air conditioner based on thermal comfort, thus improving the user's comfort in the air-conditioned environment.

[0192] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0193] See Figure 4 It shows a structural schematic diagram of the air conditioning control device provided in this application, including various processing units for performing the various steps in the above embodiments, see [link to related document]. Figure 4 The device includes:

[0194] Sensing unit 401 is used to collect reflected signals of millimeter-wave signals in the building environment where the air conditioner is located;

[0195] Edge computing unit 402 is used to extract features from the reflected signal to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter wave signal;

[0196] The edge computing unit 402 is used to determine the temperature difference between different heights of the user in the building environment based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics.

[0197] Control unit 403 is used to adjust the air output parameters of the air conditioner based on the temperature difference.

[0198] In some embodiments, the temperature difference includes the temperature difference between areas at different altitudes in the area where the user is located;

[0199] The edge computing unit 402 is used to establish a first temperature inversion model and a second temperature inversion model; using the first temperature inversion model, a first temperature of a first region is determined based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics; using the second temperature inversion model, a second temperature of a second region is determined based on the reflection cross-sectional area characteristics, the Doppler frequency shift characteristics, and the first temperature, wherein the height of the first region is greater than the height of the second region; and the difference between the first temperature and the second temperature is determined to obtain the temperature difference of the area where the user is located in the building environment.

[0200] In some embodiments, the edge computing unit 402 is used to simultaneously measure the temperature of multiple samples and the millimeter-wave signal reflection signal in an experimental environment; to screen the key features of the sample temperature and the millimeter-wave signal reflection signal using a random forest regression algorithm; and to determine the fitting coefficients of the temperature inversion model based on the key features, thereby obtaining the first temperature inversion model and the second temperature inversion model.

[0201] In some embodiments, the edge computing unit 402 is configured to determine the thermal comfort parameters of the building environment where the air conditioner is located based on a first temperature and a second temperature, wherein the first temperature is the temperature of a first area, the second temperature is the temperature of a second area, the first area and the second area are areas at different heights of the user in the building environment, wherein the height of the first area is greater than the height of the second area; adjust the thermal comfort parameters based on the temperature difference; and adjust the air outlet parameters of the air conditioner based on the adjusted thermal comfort parameters.

[0202] In some embodiments, the edge computing unit 402 is used to determine the posture of a user in the building environment where the air conditioner is located; determine compensation parameters based on the user's posture; and adjust the thermal comfort parameters based on the compensation parameters and the temperature difference.

[0203] In some embodiments, the air outlet parameters include air outlet temperature, air outlet velocity, and air outlet direction;

[0204] The control unit 403 is configured to increase the outlet air temperature, decrease the outlet air speed, and adjust the outlet air direction upward when the adjusted thermal comfort parameter is less than a first preset parameter; decrease the outlet air temperature, increase the outlet air speed, and adjust the outlet air direction downward when the adjusted thermal comfort parameter is greater than a second preset parameter; and maintain the current outlet air parameter unchanged when the adjusted thermal comfort parameter is greater than or equal to the first preset parameter and less than or equal to the second preset parameter; wherein the second preset parameter is greater than the first preset parameter.

[0205] In some embodiments, the control unit 403 is further configured to: determine the parameter difference between the current thermal comfort parameter and the historical thermal comfort parameter, wherein the historical thermal comfort parameter is the thermal comfort parameter determined when the air outlet parameter was last adjusted; determine the time interval between the current adjustment of the air outlet parameter and the previous adjustment of the air outlet parameter; if the parameter difference is greater than a preset parameter difference and the time interval is greater than a first preset duration, then perform the action of adjusting the air outlet parameter of the air conditioner based on the adjusted thermal comfort parameter; if the parameter difference is greater than the preset parameter difference and the time interval is less than or equal to the preset duration, then determine the adjustment range parameter; adjust the air outlet parameter of the air conditioner based on the adjustment range parameter and the adjusted thermal comfort parameter; and maintain the air conditioner operating with the current air outlet parameter for a second preset duration.

[0206] In some embodiments, the system architecture further includes:

[0207] The interactive unit is used to generate a thermal comfort distribution map of the environment where the air conditioner is located based on the reflection cross-sectional area characteristics and Doppler frequency shift characteristics; and to display the thermal comfort distribution map.

[0208] In some embodiments, the edge computing unit 402 is further configured to acquire the temperature measured by the infrared sensor; calibrate the temperature difference based on the temperature measured by the infrared sensor to obtain a calibrated temperature difference; and adjust the air outlet parameters of the air conditioner based on the calibrated temperature difference.

[0209] In this embodiment, the temperature in the building environment where the air conditioner is located is determined by the signal characteristics of the reflected millimeter-wave signal. This avoids the problem of inaccurate temperature measurement in the building environment caused by factors such as clothing obstruction by infrared sensors, thereby improving the accuracy of temperature detection and thus improving the accuracy of determining thermal comfort based on temperature. Furthermore, the temperature difference in the user's area in the building environment is determined by the reflection cross-sectional area characteristics and Doppler frequency shift characteristics of the reflected millimeter-wave signal. The air outlet parameters of the air conditioner are adjusted according to this temperature difference. In this way, the temperature difference in different areas of the user's building environment is considered when determining thermal comfort, thereby improving the accuracy of the determined thermal comfort and further improving the accuracy of adjusting the air outlet parameters of the air conditioner based on thermal comfort, thus improving the user's comfort in the air-conditioned environment.

[0210] Figure 5 This is a schematic diagram of an air conditioner controller provided in an exemplary embodiment of this application. Figure 5 As shown, the air conditioner controller 5 in this embodiment includes: a processor 50, a memory 51, and a computer program 52 stored in the memory 51 and executable on the processor 50, such as an air conditioner control program. When the processor 50 executes the computer program 52, it implements the steps described in the various air conditioner control method embodiments above, for example... Figure 3 Steps S301 to S304 are shown. Alternatively, when the processor 50 executes the computer program 52, it implements the functions of each unit in the above-described device embodiments, for example... Figure 4 The functions of units 401 to 403 are shown.

[0211] For example, the computer program 52 can be divided into one or more units, which are stored in the memory 51 and executed by the processor 50 to complete this application. The one or more units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program 52 in the air conditioner controller 5. For example, the computer program 52 can be divided into a sensing unit, an edge computing unit, and a control unit, with the specific functions of each module as follows:

[0212] Sensing unit 401 is used to collect reflected signals of millimeter-wave signals in the building environment where the air conditioner is located;

[0213] Edge computing unit 402 is used to extract features from the reflected signal to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter wave signal;

[0214] The edge computing unit 402 is used to determine the temperature difference between different heights of the user in the building environment based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics.

[0215] Control unit 403 is used to adjust the air output parameters of the air conditioner based on the temperature difference.

[0216] The air conditioner controller 5 can be any air conditioner controller with control functions. The air conditioner controller 5 may include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will understand that... Figure 5 This is merely an example of an air conditioner controller 5 and does not constitute a limitation on the air conditioner controller 5. It may include more or fewer components than shown, or combine certain components, or different components. For example, the air conditioner controller 5 may also include input / output devices, network access devices, buses, etc.

[0217] The processor 50 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0218] The memory 51 can be an internal storage unit of the air conditioner controller 5, such as a hard drive or memory. The memory 51 can also be an external storage device of the air conditioner controller 5, such as a plug-in hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the air conditioner controller 5. Furthermore, the memory 51 can include both internal and external storage units of the air conditioner controller 5. The memory 51 is used to store the computer program and other programs and data required by the terminal device. The memory 51 can also be used to temporarily store data that has been output or will be output.

[0219] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments 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. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0220] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0221] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0222] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For instance, the division of modules or 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 displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0223] 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.

[0224] 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.

[0225] If the integrated module / 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 medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0226] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the above method embodiments.

[0227] This application also provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the various method embodiments above.

[0228] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An air conditioning control system, characterized in that, The air conditioning control system includes: a millimeter-wave sensor, an air conditioning controller, and an air conditioner; The millimeter-wave sensor is configured to transmit millimeter-wave signals into the building environment where the air conditioner is located, and to receive reflected signals of the millimeter-wave signals. The air conditioning controller is configured to extract features from the reflected signal to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter wave signal; determine the temperature difference between areas at different heights of the user in the building environment based on the reflection cross-sectional area features and Doppler frequency shift features; and adjust the air outlet parameters of the air conditioner based on the temperature difference. The air conditioner is configured to operate based on the air outlet parameters.

2. The air conditioning control system as described in claim 1, characterized in that, The temperature difference includes the temperature difference between areas at different altitudes in the user's area; The air conditioning control system is configured to establish a first temperature inversion model and a second temperature inversion model. The first temperature of the first region is determined using the first temperature inversion model based on the reflection cross-sectional area characteristics and the Doppler frequency shift characteristics. Using the second temperature inversion model, based on the reflection cross-sectional area characteristics, the Doppler frequency shift characteristics, and the first temperature, the second temperature of the second region is determined, wherein the height of the first region is greater than the height of the second region; The temperature difference between the first temperature and the second temperature is determined to obtain the temperature difference of the area where the user is located in the building environment.

3. The air conditioning control system as described in claim 2, characterized in that, The air conditioning control system is configured to simultaneously measure the temperature of multiple samples and the millimeter-wave signal reflection signal in the experimental environment. Key features of the sample temperature and millimeter-wave signal reflection were screened using a random forest regression algorithm. Based on the key features, the fitting coefficients of the temperature inversion model are determined, and the first temperature inversion model and the second temperature inversion model are obtained.

4. The air conditioning control system according to any one of claims 1-3, characterized in that, The air conditioning controller is configured to determine the thermal comfort parameters of the building environment where the air conditioner is located based on a first temperature and a second temperature. The first temperature is the temperature of a first area, and the second temperature is the temperature of a second area. The first area and the second area are areas at different heights of the user in the building environment, wherein the height of the first area is greater than the height of the second area. The thermal comfort parameters are adjusted based on the temperature difference. The air outlet parameters of the air conditioner are adjusted based on the adjusted thermal comfort parameters.

5. The air conditioning control system as described in claim 4, characterized in that, The air conditioning controller is configured to determine the posture of a user in the building environment where the air conditioner is located; The compensation parameters are determined based on the user's posture. The thermal comfort parameters are adjusted based on the compensation parameters and the temperature difference.

6. The air conditioning control system as described in any one of claims 4, characterized in that, The air outlet parameters include air outlet temperature, air outlet velocity, and air outlet direction; The air conditioner is configured to increase the outlet air temperature, decrease the outlet air speed, and adjust the outlet air direction upward when the adjusted thermal comfort parameter is less than a first preset parameter. When the adjusted thermal comfort parameter is greater than the second preset parameter, the outlet air temperature is reduced, the outlet air speed is increased, and the outlet air direction is adjusted downward. When the adjusted thermal comfort parameter is greater than or equal to the first preset parameter and less than or equal to the second preset parameter, the current air outlet parameter remains unchanged. Wherein, the second preset parameter is greater than the first preset parameter.

7. The air conditioning control system as described in claim 4, characterized in that, The air conditioning controller is configured to determine the parameter difference between the current thermal comfort parameter and the historical thermal comfort parameter, wherein the historical thermal comfort parameter is the thermal comfort parameter determined when the air outlet parameter was last adjusted. Determine the time interval between this adjustment of the air outlet parameters and the previous adjustment of the air outlet parameters; If the parameter difference is greater than the preset parameter difference and the time interval is greater than the first preset duration, then the action of adjusting the air outlet parameters of the air conditioner based on the adjusted thermal comfort parameters is performed. If the parameter difference is greater than the preset parameter difference, and the time interval is less than or equal to the preset duration, then the adjustment amplitude parameter is determined. The air outlet parameters of the air conditioner are adjusted based on the adjustment range parameters and the adjusted thermal comfort parameters. The air conditioner will continue to operate at the current air output parameters for a second preset duration.

8. The air conditioning control system according to any one of claims 1-3, characterized in that, The air conditioning control system also includes a display device; The air conditioning controller is configured to generate a thermal comfort distribution map of the environment in which the air conditioner is located based on the reflection cross-sectional area characteristics and Doppler frequency shift characteristics; The display device is configured to display the thermal comfort distribution map.

9. The air conditioning control system according to any one of claims 1-3, characterized in that, The air conditioner controller also includes an infrared sensor; The infrared sensor is configured to detect the temperature in the building environment; The air conditioning controller is configured to acquire the temperature measured by the infrared sensor; The temperature difference is calibrated based on the temperature measured by the infrared sensor to obtain the calibrated temperature difference; Based on the calibrated temperature difference, the air outlet parameters of the air conditioner are adjusted.

10. An air conditioning control method, characterized in that, The method includes: Collect reflected millimeter-wave signals from the building environment where the air conditioner is located; Feature extraction is performed on the reflected signal to obtain the reflection cross-sectional area features and Doppler frequency shift features of the millimeter wave signal; Based on the reflected cross-sectional area characteristics and the Doppler frequency shift characteristics, the temperature difference between areas at different heights of the user in the building environment is determined; Based on the temperature difference, adjust the air outlet parameters of the air conditioner.

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