Air conditioner control method and device, electronic equipment and storage medium

Abstract

The invention provides an air conditioner control method and device, electronic equipment and a storage medium, the method comprises the steps that the current basic air supply temperature of an air conditioner and the current physiological data of at least one user are obtained, the physiological data comprise a plurality of vital sign parameters, and the types of the vital sign parameters are different; the current physiological deviation coefficient of the user is calculated according to the at least two current vital sign parameters of the user, the current basic air supply temperature is corrected based on the current physiological deviation coefficient of the user, and the current target air supply temperature is obtained; controlling operation of the air conditioner according to the current target air supply temperature; according to the method, the somatosensory differences of different users on the temperature can be captured, the air supply temperature is correspondingly adjusted, personalized temperature adjustment is achieved, accurate and comfortable air conditioning experience is provided for drivers and passengers, and misjudgment caused by single data is avoided.

Description

Technical Field

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

[0002] With the rapid development of intelligent vehicle technology, automated control of in-vehicle air conditioning is becoming increasingly common and is gradually becoming a standard feature in the automotive industry, bringing convenient and comfortable travel experiences to drivers and passengers. Currently, most in-vehicle air conditioning control solutions mainly achieve the purpose of automatically adjusting the temperature and fan speed of the passenger compartment by collecting multi-dimensional environmental data and judging and switching the air conditioning operation mode based on the multi-dimensional environmental data.

[0003] However, although the control scheme is relatively comprehensive and diverse in terms of environmental information collection, its decision-making basis is limited to objective environmental data and lacks personalized adaptation to the subjective needs of users, which affects the comfort and experience of drivers and passengers. Summary of the Invention

[0004] This application provides an air conditioning control method, device, electronic device, and storage medium to solve the technical problem that traditional air conditioning control schemes are limited to objective environmental data in their decision-making basis and lack personalized adaptation to users' subjective needs.

[0005] This application provides an air conditioning control method, the method comprising: acquiring the current base air supply temperature of the air conditioner and at least one user's current physiological data, wherein the physiological data includes multiple vital sign parameters, each of which is of a different category; calculating the user's current physiological deviation coefficient based on at least two of the user's current vital sign parameters, and correcting the current base air supply temperature based on the user's current physiological deviation coefficient to obtain a current target air supply temperature; and controlling the operation of the air conditioner according to the current target air supply temperature.

[0006] In one embodiment of this application, before calculating the user's current physiological deviation coefficient based on at least two of the user's current vital sign parameters, the method includes: determining the user's current physiological state based on the user's current cardiovascular parameters and current respiratory parameters, wherein the physiological state includes a tense state or a relaxed state, and the plurality of vital sign parameters include the cardiovascular parameters and the respiratory parameters; and, if the user's current physiological state is determined to be a relaxed state, calculating the user's current physiological deviation coefficient based on at least two of the user's current vital sign parameters.

[0007] In one embodiment of this application, calculating the user's current physiological deviation coefficient based on at least two current vital sign parameters includes: calculating the difference between a preset body temperature parameter benchmark value and the user's current body temperature parameter to obtain the user's current body temperature deviation coefficient; and calculating the difference between a preset respiratory parameter benchmark value and the user's current respiratory parameter to obtain the user's current respiratory deviation coefficient, wherein the plurality of vital sign parameters include the body temperature parameter and the respiratory parameter; determining the user's current vital sign weight ratio according to the user's current body temperature deviation coefficient; and performing a weighted calculation based on the user's current body temperature deviation coefficient and the corresponding body temperature weight coefficient, the user's current respiratory deviation coefficient and the corresponding respiratory weight coefficient to obtain the user's current physiological deviation coefficient, wherein the body temperature weight coefficient and the respiratory weight coefficient are obtained based on the vital sign weight ratio.

[0008] In one embodiment of this application, controlling the operation of the air conditioner according to the current target air supply temperature includes: determining the current operating state of the vehicle based on the vehicle's current driving data, and determining the user's current level of physical discomfort based on the user's current physiological data, wherein the driving data is obtained through data collection, the operating state includes normal operating state or extreme operating state, and the level of physical discomfort includes normal level or severe level; determining the target temperature adjustment range and target air volume according to the vehicle's current operating state and / or the user's current level of physical discomfort; controlling the air conditioner to perform periodic temperature adjustment according to the current target air supply temperature and the target temperature adjustment range at a preset time period, and controlling the air conditioner to adjust the fan speed according to the target air volume in each cycle, until the change between the current target air supply temperature and the latest target air supply temperature reaches a preset condition, wherein the target air supply temperature is calculated according to a preset step size, and the preset step size is less than or equal to the preset time period.

[0009] In one embodiment of this application, determining the target temperature adjustment range and target airflow based on the current operating state of the vehicle and / or the current user's perceived discomfort level includes: calculating the target temperature adjustment range according to a preset ratio and a preset temperature adjustment range when the current operating state of the vehicle is at its limit; selecting the minimum value from a preset airflow and a base airflow as the target airflow, wherein the base airflow is determined based on the current target supply air temperature; using the preset temperature adjustment range as the target temperature adjustment range when the current operating state of the vehicle is normal and the user's current perceived discomfort level is severe; and summing the preset airflow increment and the base airflow to obtain the target airflow; and using the preset temperature adjustment range as the target temperature adjustment range and the base airflow as the target airflow when the current operating state of the vehicle is normal and the user's current perceived discomfort level is moderate.

[0010] In one embodiment of this application, before determining the target temperature adjustment range and target airflow based on the current operating state of the vehicle and / or the current perceived state of the user, the method includes: collecting the current ambient temperature, the current solar radiation intensity, and the current vehicle speed; calculating the temperature difference based on the current target air supply temperature and the current ambient temperature; calculating the airflow change based on the calculated temperature difference and the corresponding preset airflow weight, the current solar radiation intensity and the corresponding preset airflow weight, and the current vehicle speed and the corresponding preset airflow weight; and summing the airflow change and the preset initial airflow value to obtain the base airflow.

[0011] In one embodiment of this application, obtaining the current base air supply temperature of the air conditioner includes: The system obtains the current user-set temperature, current ambient temperature, current ambient humidity, and current solar radiation intensity, and calculates the current base supply air temperature based on these parameters. or, Historical temperature regulation data is acquired, including the user's historical physiological data before manual temperature adjustment, as well as the historical target air supply temperature and historical user-set temperature after manual temperature adjustment. A mathematical model for determining the base air supply temperature is established based on the target air supply temperature, the user-set temperature, and the physiological data. The current base air supply temperature is obtained by fitting the mathematical model to the user's historical physiological data before manual temperature adjustment, as well as the historical target air supply temperature and historical user-set temperature after manual temperature adjustment.

[0012] This application also provides an air conditioning control device, the device comprising: a data acquisition module for acquiring the current base air supply temperature of the air conditioner and at least one user's current physiological data, wherein the physiological data includes multiple vital sign parameters, each of which has a different category; an information processing module for calculating the user's current physiological deviation coefficient based on at least two of the user's current vital sign parameters, and correcting the current base air supply temperature based on the user's current physiological deviation coefficient to obtain the current target air supply temperature; and an execution module for controlling the operation of the air conditioner according to the current target air supply temperature.

[0013] This application also provides an electronic device, the electronic device comprising: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the air conditioning control method as described above.

[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer's processor, causes the computer to perform the air conditioning control method as described above.

[0015] The beneficial effects of this application are as follows: This application proposes an air conditioning control method, device, electronic device, and storage medium. This method calculates a user's physiological deviation coefficient based on different categories of vital signs, and corrects the base air supply temperature of the air conditioner according to this physiological deviation coefficient. The air conditioner is then controlled to operate according to the corrected target air supply temperature. This method can accurately capture the differences in temperature perception among different users and adjust the air supply temperature accordingly, achieving personalized temperature regulation and providing drivers and passengers with an accurate and comfortable air conditioning experience. Furthermore, by collecting user vital sign parameters from multiple dimensions, misjudgments caused by single data points can be avoided, effectively improving the accuracy of target air supply temperature determination. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram: Figure 1 A schematic diagram illustrating the implementation environment of an air conditioning control method according to an embodiment of this application; Figure 2 A flowchart of an air conditioning control method provided in one embodiment of this application; Figure 3 This is a flowchart of a personalized temperature adjustment provided in an embodiment of this application; Figure 4 This is a block diagram of an air conditioning control device provided in one embodiment of this application; Figure 5 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of this application. Detailed Implementation

[0018] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0019] The illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. The drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0020] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the present application. However, it will be apparent to those skilled in the art that embodiments of the present application may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present application.

[0021] The embodiments of this application respectively propose an air conditioning control method, an air conditioning control device, an electronic device, a computer-readable storage medium, and a computer program product, which will be described in detail below.

[0022] Please see Figure 1 , Figure 1 This is a schematic diagram illustrating the implementation environment of an air conditioning control method according to an embodiment of this application, as shown below. Figure 1As shown, the implementation environment may include a vehicle 110, a data acquisition device 120, and a computer device 130. The vehicle 110 is equipped with an air conditioner. The vehicle 110 may be a car, a special vehicle, a train, a ship, an airplane, or other similar vehicle. The data acquisition device 120 may be various sensors, a smartphone, or a smart wearable device such as a smartwatch, smart bracelet, or smart glasses. The computer device 130 may be at least one of a microcomputer, an embedded computer, or a neural network computer, etc., without limitation. The data acquisition device 120 and the computer device 130 may be independent electronic devices, or they may be configured separately or together in the vehicle 110, without limitation. The basic air supply temperature of the air conditioner can be obtained from the vehicle 110 and provided to the computer device 130. The user's physiological data can be collected by the data acquisition device 120 and provided to the computer device 130. The computer device 130 processes the basic air supply temperature and physiological data to determine the target air supply temperature and returns it to the vehicle 110, so as to control the operation of the air conditioner in the vehicle 110 according to the target air supply temperature.

[0023] Schematic illustration: Computer device 130 obtains the current base air supply temperature of the air conditioner through vehicle 110, and acquires at least one user's current physiological data through data acquisition device 120. The physiological data includes multiple vital sign parameters of different categories. Based on at least two of the user's current vital sign parameters, a physiological deviation coefficient is calculated, and the current base air supply temperature is corrected based on this coefficient to obtain the current target air supply temperature. The air conditioner in vehicle 110 is then controlled according to the target air supply temperature. As can be seen, the technical solution of this application, by calculating a user's physiological deviation coefficient based on different categories of vital sign parameters and correcting the base air supply temperature of the air conditioner according to this coefficient, and controlling the air conditioner's operation according to the corrected target air supply temperature, can accurately capture the differences in temperature perception among different users and adjust the air supply temperature accordingly, achieving personalized temperature regulation and providing an accurate and comfortable air conditioning experience for drivers and passengers. Furthermore, by collecting user vital sign parameters from multiple dimensions, misjudgments caused by single data points can be avoided, effectively improving the accuracy of target air supply temperature determination.

[0024] The air conditioning control method provided in this application embodiment can be specifically executed by computer equipment 130, and correspondingly, the air conditioning control device can be installed in computer equipment 130.

[0025] Please see Figure 2 , Figure 2 This is a flowchart illustrating an embodiment of an air conditioning control method provided in this application. This air conditioning control method can be applied to... Figure 1The implementation environment shown is specifically executed by computer device 130 within that implementation environment. It should be understood that this air conditioning control method can also be applied to other exemplary implementation environments and executed by devices in other implementation environments; this embodiment does not limit the implementation environment to which the air conditioning control method is applicable. Figure 2 As shown, in an exemplary embodiment, the air conditioning control method includes at least steps S210 to S230, which are described in detail below: Step S210: Obtain the current basic air supply temperature of the air conditioner and the current physiological data of at least one user.

[0026] Step S220: Calculate the user's current physiological deviation coefficient based on at least two current vital sign parameters, and correct the current base air supply temperature based on the user's current physiological deviation coefficient to obtain the current target air supply temperature.

[0027] Step S230: Control the operation of the air conditioner according to the current target supply air temperature.

[0028] In step S210, the basic supply air temperature refers to the initial value of TAO (Target Air Outlet Temperature), and the target supply air temperature refers to the correction value of TAO. TAO is the core output parameter of the air conditioning control algorithm, which is used to control the supply air temperature. When the user sets the target temperature in the cabin (such as 24°C) through a smart device APP or the car's central control screen, it is called the user-set temperature. The air conditioning system indirectly achieves the user-set temperature by adjusting the target air outlet temperature.

[0029] In some embodiments, the initial value of the target air outlet temperature can be calculated based on user-set temperature and environmental data, and used as the base supply air temperature. The environmental data includes at least one of ambient temperature, solar radiation intensity, and ambient humidity.

[0030] Physiological data includes multiple vital sign parameters, each belonging to a different category. The categories of vital sign parameters can be at least two of the following: cardiovascular, respiratory, and body temperature. In other words, physiological data can include at least two of the following: cardiovascular parameters, respiratory parameters, and body temperature parameters. Among them, cardiovascular parameters can be at least one of the following: heart rate, HRV (Heart Rate Variability), blood pressure, and blood oxygen saturation; respiratory parameters can be at least one of the following: RR (Respiratory Rate), tidal volume, and ventilation volume; and body temperature parameters can be at least one of the following: core temperature, body surface temperature, temperature fluctuation amplitude, and temperature rhythm.

[0031] In some embodiments, users' physiological data can be collected through biosensors, or through wearable smart devices such as mobile phones, smartwatches, and smart bracelets.

[0032] Users refer to the people in the passenger cabin, including at least one of the drivers and passengers. The passenger cabin can be the passenger cabin of any means of transportation such as cars, ships, and airplanes.

[0033] In some embodiments, acquiring the current physiological data of at least one user includes acquiring the current physiological data of the driver in the passenger compartment, or acquiring the current physiological data of all persons in the passenger compartment.

[0034] In step S220, the physiological deviation coefficient refers to the deviation between the user's current physiological data and the corresponding benchmark value, which characterizes the human body's thermal state, including whether the human body is in a state of being too hot, too cold, or at a suitable temperature.

[0035] In some embodiments, baseline values ​​for each vital sign parameter when the user's body is in a suitable temperature state can be preset. Illustratively, baseline values ​​for each vital sign parameter can be set according to different age groups, genders, or other physiological types, or for different users; no restrictions are imposed here. The difference between the user's current vital sign parameters and the corresponding baseline values ​​is calculated to obtain the deviation coefficients corresponding to the user's current vital sign parameters. Mathematical operations, such as weighted summation, are then performed based on these deviation coefficients to obtain the user's current physiological deviation coefficient.

[0036] In some embodiments, the current base air supply temperature is corrected based on the user's current physiological deviation coefficient to obtain the current target air supply temperature. This includes: when there is only one user, performing mathematical calculations on the user's current physiological deviation coefficient and the current base air supply temperature to obtain the current target air supply temperature, thereby correcting the base air supply temperature. When there are multiple users, if the air conditioner is a single control type, mathematical calculations are performed on the current physiological deviation coefficients of each user, such as averaging, to obtain the current comprehensive physiological deviation coefficient. Mathematical calculations are then performed on the current comprehensive physiological deviation coefficient and the current base air supply temperature to obtain the current target air supply temperature, thus comprehensively considering the physiological deviations of each user and balancing the temperature needs of different users. If the air conditioner is a zone control type, mathematical calculations are performed on the current physiological deviation coefficients of users in each zone and the current base air supply temperature to obtain the current target air supply temperature for each zone, achieving personalized TAO output for different users and meeting the comfort needs of different users.

[0037] In some embodiments, the target supply air temperature is calculated as follows: TAO _ bio = TAO _ base - K _ bio Equation (1) in, TAO _ bio For the target supply air temperature, TAO _ base Based on the supply air temperature, K _ bio This is the physiological deviation coefficient.

[0038] In step S230, the target temperature adjustment range and target air volume can be determined by the current target supply air temperature. The air conditioner is controlled to adjust the temperature according to the target supply air temperature range and adjust the air speed according to the target air volume.

[0039] In some embodiments, the target temperature adjustment range can be determined based on the current target supply air temperature and the current actual supply air temperature, or based on the current target supply air temperature and the previously calculated target supply air temperature.

[0040] In some embodiments, the target air volume can be determined based on the current target supply air temperature and the current actual supply air temperature, or based on the current target supply air temperature and the previously calculated target supply air temperature.

[0041] This embodiment incorporates user physiological data as the core data for air conditioning control logic, which is more direct and effective than environmental data. Therefore, by adding a physiological deviation coefficient to the traditional solution and correcting the basic supply air temperature, the air conditioning control logic is optimized, enabling more accurate adjustment of the passenger cabin temperature and providing passengers with an accurate and comfortable air conditioning experience.

[0042] In one embodiment of this application, obtaining the current base air supply temperature of the air conditioner includes: Get the current user-set temperature, current ambient temperature, current ambient humidity, and current solar radiation intensity, and calculate the current base supply air temperature based on the current user-set temperature, current ambient temperature, current ambient humidity, and current solar radiation intensity; or, Historical temperature regulation data is acquired, including users' historical physiological data before manual temperature adjustment, as well as historical target supply air temperatures and historical user-set temperatures after manual temperature adjustment. A mathematical model for determining the base supply air temperature is established based on the target supply air temperature, user-set temperature, and physiological data. The current base supply air temperature is obtained by fitting the mathematical model to the users' historical physiological data before manual temperature adjustment, as well as the historical target supply air temperatures and historical user-set temperatures after manual temperature adjustment.

[0043] In this embodiment, the user-set temperature refers to the user setting the target temperature inside the cabin via a smart device app or the car's central control screen. The ambient temperature includes at least one of the vehicle interior temperature and the vehicle exterior temperature, and the ambient humidity includes at least one of the vehicle interior humidity and the vehicle exterior humidity.

[0044] This embodiment uses the user-set temperature as the core reference temperature and corrects it with ambient temperature, ambient humidity, and solar radiation intensity as influencing factors, thus providing an accurate base air supply temperature for personalized temperature control.

[0045] In some embodiments, the current user-set temperature is used as the core reference temperature, and the current in-vehicle temperature, current outside vehicle temperature, current in-vehicle humidity, and current solar radiation intensity are used as influencing factors to correct the core reference temperature, thus obtaining the current base air supply temperature. For example, the base air supply temperature can be calculated as follows: TAO _ base = A * T _ set - B * T _ in - C * T _ out - D * S - E *( H _ in -50)+ F Equation (2) in, TAO _ base Based on the supply air temperature, T _ set Set the temperature for the user. T _ in For the temperature inside the car, T _ out The outside temperature of the vehicle. S For solar radiation intensity, H _ in For the humidity inside the car, A , B , C , D , E , F These are all manufacturer-calibrated constants, which can be determined through extensive user testing. A , B , C , D , EThe parameters, in turn, represent the influence of user-set temperature, in-vehicle temperature, outside temperature, sunlight intensity, and in-vehicle humidity on the baseline air supply temperature. F is the fine-tuning coefficient for the baseline air supply temperature. For example, A It can be 1.2. B It can be 0.3. C It can be 0.1. D It can be 0.005. E It can be 0.02. F It can be 5.0, of course. A , B , C , D , E , F Other values ​​are also allowed; there are no restrictions here.

[0046] When calculating the base supply air temperature using equation (2), the solar radiation intensity is generally based on... kW / m² The calculation is performed using a base unit, therefore, it can be based on 1000. W / m ²=1 kW / m The solar radiation intensity is converted to a unit using the method ², that is, the actual value is substituted into the equation. S / 1000.

[0047] Since the higher the humidity, the higher the perceived temperature will be than the actual temperature, this embodiment uses 50%RH (Relative Humidity) as the benchmark when considering the impact of in-vehicle humidity on the basic air supply temperature. In high humidity (i.e., in-vehicle humidity greater than 50%RH), lowering the basic air supply temperature can more accurately and effectively regulate the air conditioning temperature, allowing the user's perceived temperature to quickly reach a comfortable level.

[0048] Because different users have varying sensitivities to temperature, resulting in differences in perceived temperature—for example, elderly users are more sensitive to cold, while pregnant women and male users are more sensitive to heat—even after the air conditioner is set to the target supply air temperature, users may manually adjust the temperature due to these differences. Therefore, to address this issue of varying user perception, we can learn from historical data on users' manual (human-controlled) air conditioner adjustments to obtain a personalized baseline supply air temperature for each user.

[0049] In some embodiments, scenarios where the user has recently manually adjusted the air conditioner can be recorded, storing the user's physiological and environmental data before manual adjustment, as well as the target air supply temperature and user-set temperature after manual adjustment. Some or all of this data can be used as historical temperature adjustment data, and a mathematical model can be established through linear regression as a user-specific adjustment model. For example, the expression of the mathematical model is as follows: TAO _user = TAO _ pre + M ×( T _ skin _ pre 33.5)+ N ×( T _ set _ pre 24) Equation (3) in, TAO _ user The output value of the mathematical model represents the user's personalized target air supply temperature. TAO _ pre The target supply air temperature is set after manual adjustment based on historical data. T _ skin _ pre To manually adjust the previous user's historical body surface temperature, T _ set _ pre For users who manually adjusted historical temperature settings, M This is the coefficient for adjusting the sensitivity to hot and cold temperatures. N This is the temperature preference adjustment coefficient.

[0050] Both the temperature sensitivity adjustment coefficient and the temperature preference adjustment coefficient are user-personalized adjustment coefficients. The temperature sensitivity adjustment coefficient represents the user's sensitivity to temperature and can be preset according to user needs, with a value range of 0.6. 1.0, M A value of 0.6 indicates a high tendency to feel cold. M =1.0 indicates a high heat resistance tendency; the temperature preference adjustment coefficient represents the user's temperature preference, which can also be customized in advance according to the user's needs. The lower the temperature preference adjustment coefficient, the lower the set temperature preference.

[0051] A memory-based personalized model recall strategy can be adopted, which automatically loads a pre-trained user-specific tuning model each time the device starts up, and directly outputs personalized features. TAO _ user As TAO _ base No environmental adaptation calculations are required.

[0052] This embodiment learns from historical temperature regulation data to obtain personalized user information. TAO _ userAs a base air supply temperature, it eliminates the need to collect current environmental data for calculation, thus saving resources and improving calculation efficiency. On the other hand, it can also meet the personalized needs of different users, take into account the differences in the physical sensations of different users, and further improve the user experience.

[0053] In one embodiment of this application, prior to step S220, the method includes: determining the user's current physiological state based on the user's current cardiovascular parameters and current respiratory parameters, wherein the physiological state includes a state of tension or a state of relaxation, and multiple vital sign parameters include cardiovascular parameters and respiratory parameters; and, if the user's current physiological state is determined to be a state of relaxation, calculating the user's current physiological deviation coefficient based on at least two of the user's current vital sign parameters.

[0054] In this embodiment, physiological state refers to whether the user is tense or under driving stress. Drivers are prone to driving stress when encountering emergencies such as traffic congestion, time constraints, poor road conditions, or sudden dangers. Under driving stress, physiological indicators such as respiration, blood pressure, and muscle tension change significantly, and the driver may exhibit high levels of tension, anxiety, or panic. Therefore, to avoid inadvertently triggering temperature regulation due to tension or driving stress, the user's current physiological data can be assessed by checking their current cardiovascular and respiratory parameters to determine if they are affected by non-temperature factors. If the user's current physiological state is relaxed, it indicates that their current physiological data are not affected by non-temperature factors, or are minimally affected. In this case, the physiological deviation coefficient can be further determined. If the user's current physiological state is tense, it indicates that their current physiological data are affected by non-temperature factors, or are significantly affected. In this case, temperature regulation is not performed, ensuring the effectiveness and accuracy of temperature regulation.

[0055] For example, cardiovascular parameters can be at least one of HRV, heart rate, and blood pressure, and respiratory parameters can be at least one of RR, tidal volume, and ventilation volume.

[0056] In some embodiments, the user's current physiological state is determined based on the user's current cardiovascular and respiratory parameters, including: if the user's current HRV is greater than or equal to a preset HRV threshold, and the user's current RR is less than or equal to a preset RR threshold, then the user's current physiological state is determined to be relaxed; if the user's current HRV is less than the preset HRV threshold, or the user's current RR is greater than the preset RR threshold, then the user's current physiological state is determined to be tense. The preset HRV threshold can be 50 ms or other values, and the preset RR threshold can be 25 breaths / minute or other values; no limitation is imposed here.

[0057] In other embodiments, the user's current physiological state is determined based on the user's current cardiovascular and respiratory parameters, including: if the user's current HRV is within a preset HRV range and the user's current RR is within a preset RR range, then the user's current physiological state is determined to be relaxed; if the user's current HRV exceeds the preset HRV range, or the user's current RR exceeds the preset RR range, then the user's current physiological state is determined to be tense. The preset HRV range can be 50ms-150ms, or other numerical ranges, and the preset RR range can be 12 breaths / minute-20 breaths / minute, or other numerical ranges; no limitations are imposed here.

[0058] In one embodiment of this application, calculating the user's current physiological deviation coefficient based on at least two current vital sign parameters includes: calculating the difference between a preset body temperature parameter baseline value and the user's current body temperature parameter to obtain the user's current body temperature deviation coefficient; and calculating the difference between a preset respiratory parameter baseline value and the user's current respiratory parameter to obtain the user's current respiratory deviation coefficient, wherein the multiple vital sign parameters include body temperature parameters and respiratory parameters; determining the user's current vital sign weight ratio according to the user's current body temperature deviation coefficient; and performing a weighted calculation based on the user's current body temperature deviation coefficient and the corresponding body temperature weight coefficient, the user's current respiratory deviation coefficient and the corresponding respiratory weight coefficient to obtain the user's current physiological deviation coefficient, wherein the body temperature weight coefficient and the respiratory weight coefficient are obtained based on the vital sign weight ratio.

[0059] In this embodiment, the body temperature parameter can be at least one of core temperature, body surface temperature, and temperature fluctuation range. The preset body temperature parameter reference value refers to a body temperature parameter value at which the user's body feels comfortable. The preset body temperature parameter reference value can be a preset reference value corresponding to at least one of the core temperature, body surface temperature, and temperature fluctuation range. There is a one-to-one correspondence between the body temperature parameter and the preset body temperature parameter reference value. For example, when the body temperature parameter is core temperature, its corresponding preset body temperature parameter reference value is the preset core temperature reference value, and the difference between the two values ​​is the core temperature deviation coefficient. When the body temperature parameter is body surface temperature, its corresponding preset body temperature parameter reference value is the preset body surface temperature reference value, and the difference between the two values ​​is the body surface temperature deviation coefficient. The preset respiratory parameter baseline value refers to a respiratory parameter value of a user in a resting state. There is a one-to-one correspondence between the respiratory coefficient and the preset respiratory parameter baseline value. For example, when the respiratory parameter is RR, its corresponding preset respiratory parameter baseline value is the preset RR baseline value, and the difference between the two values ​​is the RR deviation coefficient. When the respiratory parameter is tidal volume, its corresponding preset respiratory parameter baseline value is the preset tidal volume baseline value, and the difference between the two values ​​is the tidal volume deviation coefficient.

[0060] This embodiment can accurately and effectively reflect the body's heat demand through the body temperature deviation coefficient, and correct it through the respiratory deviation coefficient, which can avoid the problem of misjudgment caused by the body temperature deviation coefficient alone, and further improve the accuracy of physiological deviation coefficient calculation.

[0061] The vital signs weighting ratio includes a body temperature weighting coefficient and a respiration weighting coefficient, which are dynamically determined based on the body temperature deviation coefficient. A pre-set vital signs weighting ratio can be configured. Since body temperature directly reflects the body's heat requirements, the body temperature weighting coefficient can be higher than the respiration weighting coefficient to ensure that the physiological deviation coefficient is primarily based on the body temperature deviation coefficient, making it more direct and effective. For example, the body temperature weighting coefficient can be 0.8, or any other value higher than the respiration weighting coefficient; the respiration weighting coefficient can be 0.1, or any other value lower than the body temperature weighting coefficient—no restrictions are placed here. When the user's current body temperature deviation coefficient is greater than the preset temperature difference threshold, it indicates that the perceived deviation is too large, and the body temperature weighting coefficient in the vital signs weighting ratio can be increased. When the user's current body temperature deviation coefficient is less than or equal to the preset temperature difference threshold, the body temperature weighting coefficient can be kept unchanged.

[0062] For example, the preset temperature difference threshold can be 2℃, or other values, and there is no restriction here.

[0063] This embodiment dynamically adjusts the weight ratio of vital signs to avoid slow temperature regulation due to a fixed weight ratio of vital signs. When the user's perceived deviation is too large, i.e., feeling too hot or too cold, the perceived deviation is taken into account first, and the temperature regulation is accelerated by increasing the body temperature weight coefficient in the weight ratio of vital signs.

[0064] In some embodiments, body surface temperature can directly reflect the body's thermal state, and respiratory rate can assist in verifying the thermal state; for example, breathing is slightly faster at high temperatures. Therefore, the body surface temperature deviation coefficient can be used as the core to reflect the body's thermal needs, and then corrected by the respiratory rate deviation coefficient. The corresponding physiological deviation coefficient can be calculated as follows: K _ bio = G *( T _ skin _ current - T _ skin _ opt )+ H *( RR _ current - RR _ opt Equation (4) in, K _ bio This is the physiological deviation coefficient. T _skin _ current The user's current body surface temperature. T _ skin _ opt The user's preset body surface temperature reference value, ( T _ skin _ current - T _ skin _ opt This represents the user's current body surface temperature deviation coefficient. RR _ current The user's current breathing rate, RR _ opt The user's preset respiratory rate baseline value, ( RR _ current - RR _ opt This represents the user's current respiratory rate deviation coefficient. G This is the body temperature weighting coefficient. H This is the respiratory weighting coefficient.

[0065] The preset body surface temperature baseline is the comfortable body surface temperature, which can be 33.5℃ or customized based on the user's historical data. The preset respiratory rate baseline is the comfortable respiratory rate at rest, which can be 16 breaths / minute or customized based on the user's historical data. K _ bio When TAO is >0, it indicates that the body is in a state of excessive heat and TAO needs to be lowered; when K _ bio When the temperature is below 0, it indicates that the body is in a cold state and TAO needs to be increased.

[0066] In one embodiment of this application, controlling the operation of the air conditioner according to the current target air supply temperature includes: determining the current operating state of the vehicle based on the current driving data of the vehicle, and determining the current level of the user's perceived physical deviation based on the current physiological data of the user, wherein the driving data is obtained through collection, the operating state includes normal operating state or extreme operating state, and the perceived physical deviation level includes normal level or severe level; determining the target temperature adjustment range and target air volume according to the current operating state of the vehicle and / or the current level of the user's perceived physical deviation; controlling the air conditioner to perform periodic temperature adjustment according to the current target air supply temperature and target temperature adjustment range at a preset time period, and controlling the air conditioner to adjust the air speed according to the target air volume in each period, until the change between the current target air supply temperature and the latest target air supply temperature reaches a preset condition, wherein the target air supply temperature is calculated according to a preset step size, and the preset step size is less than or equal to the preset time period.

[0067] In this embodiment, the vehicle refers to the user's vehicle. Driving data includes at least one of the following: vehicle speed, acceleration, wheel speed, remaining battery power, engine coolant temperature, and power battery temperature. This data can be obtained through various vehicle sensors, controllers, and management systems. The vehicle's operating status indicates whether the vehicle is in normal operating condition, such as whether it has sufficient battery power, whether the battery temperature is too high or too low, and whether the engine temperature is too high. The user's perceived deviation level indicates whether the user's current perceived deviation is excessive. A "normal" level indicates a small perceived deviation, while a "severe" level indicates an excessively large perceived deviation.

[0068] In some embodiments, for new energy vehicles, the current remaining battery power can be obtained through the battery management system. If the current remaining battery power is less than a preset battery power threshold, the vehicle's current operating state is determined to be a limit operating state; otherwise, the vehicle's current operating state is determined to be a normal operating state. The preset battery power threshold can be 15% or other values, which are not limited here.

[0069] In some embodiments, for gasoline-powered vehicles, the current engine coolant temperature can be obtained through a temperature sensor. If the current engine coolant temperature is lower than a preset coolant temperature threshold, the vehicle's current operating state is determined to be an extreme operating state; otherwise, the vehicle's current operating state is determined to be a normal operating state. The preset coolant temperature threshold can be 40°C or other values, which are not limited here.

[0070] In some embodiments, the user's current body temperature deviation coefficient can be calculated based on a preset body temperature parameter baseline and the user's current body temperature parameter. The specific calculation method can be referred to the description in the foregoing embodiments, and will not be repeated here. When the user's current body temperature deviation coefficient is greater than the preset temperature difference threshold, it indicates that the user's current perceived deviation is too large, that is, the user's current perceived deviation level is determined to be severe. When the user's current body temperature deviation coefficient is less than or equal to the preset temperature difference threshold, it indicates that the user's current perceived deviation is small, that is, the user's current perceived deviation level is determined to be moderate.

[0071] In some embodiments, the current actual target air supply temperature of the air conditioner is obtained as the actual target air supply temperature of the previous cycle, with a preset time period as the cycle. If the difference between the current target air supply temperature and the actual target air supply temperature of the previous cycle is greater than the target temperature adjustment range, the actual target air supply temperature of the current cycle is determined based on the actual target air supply temperature and the target temperature adjustment range of the previous cycle. Within the current cycle, the air conditioner is controlled to adjust the temperature according to the actual target air supply temperature of the current cycle and to adjust the fan speed according to the target air volume. If the difference between the current target air supply temperature and the actual target air supply temperature of the previous cycle is less than or equal to the target temperature adjustment range, the current target air supply temperature is used as the actual target air supply temperature of the current cycle. Within the current cycle, the air conditioner is controlled to adjust the temperature according to the actual target air supply temperature of the current cycle and to adjust the fan speed according to the target air volume. The preset time period can be 10 seconds or other values, which are not limited here.

[0072] Simultaneously, the system collects real-time baseline air supply temperature and real-time physiological data of the user at a preset step size to calculate the real-time target air supply temperature. The preset step size can be 5 seconds, or any other value less than or equal to the preset duration; there are no restrictions here.

[0073] At the end of the current cycle and the beginning of the next cycle, the latest target supply air temperature is retrieved, and the change between it and the current target supply air temperature is calculated. When the change exceeds a preset supply air temperature change threshold, the preset condition is met, and the air conditioner is controlled according to the latest target supply air temperature. The specific method is described in the previous embodiment, where the air conditioner is controlled according to the current target supply air temperature; it will not be repeated here. When the change does not exceed the preset supply air temperature change threshold, the preset condition is not met, and the air conditioner continues to be controlled according to the current target supply air temperature.

[0074] In some embodiments, determining the actual target air supply temperature for the current cycle based on the actual target air supply temperature and target temperature adjustment range of the previous cycle includes: if the actual target air supply temperature of the previous cycle is greater than the current target air supply temperature, performing a subtraction operation on the actual target air supply temperature and target temperature adjustment range of the previous cycle, and constraining the calculation result with a preset temperature range to obtain the actual target air supply temperature for the current cycle; if the actual target air supply temperature of the previous cycle is less than the current target air supply temperature, performing an addition operation on the actual target air supply temperature and target temperature adjustment range of the previous cycle, and constraining the calculation result with a preset temperature range to obtain the actual target air supply temperature for the current cycle. The preset temperature range can be 18°C ​​(minimum cooling) - 30°C (maximum heating).

[0075] In some embodiments, the target air volume can be constrained by a preset air volume range, that is, the target air volume must meet the preset air volume range. For example, the preset air volume range is [1,7], where 1 is the minimum air volume, corresponding to the vehicle fan speed level 1, and 7 is the maximum air volume, corresponding to the vehicle fan speed level 7.

[0076] This embodiment determines the target temperature adjustment range and target airflow by judging the vehicle's operating status and the user's perceived deviation level, and using the vehicle's operating status and / or perceived deviation level as influencing factors for temperature adjustment range and airflow. This improves the adaptability of temperature regulation to different vehicle operating scenarios and / or user perceived deviations. Furthermore, by constraining temperature adjustment with the target temperature adjustment range and airflow adjustment with the target airflow in each cycle, sudden temperature changes can be avoided, preventing frequent compressor start-stop cycles.

[0077] In one embodiment of this application, determining the target temperature adjustment range and target airflow based on the vehicle's current operating state and / or the user's current level of sensory discomfort includes: when the vehicle's current operating state is at its extreme operating state, calculating the target temperature adjustment range according to a preset ratio and a preset temperature adjustment range, and selecting the minimum value from a preset airflow and a base airflow as the target airflow, wherein the base airflow is determined based on the current target supply air temperature; when the vehicle's current operating state is normal operating state and the user's current level of sensory discomfort is severe, using the preset temperature adjustment range as the target temperature adjustment range, and summing the preset airflow increment and the base airflow to obtain the target airflow; when the vehicle's current operating state is normal operating state and the user's current level of sensory discomfort is moderate, using the preset temperature adjustment range as the target temperature adjustment range and the base airflow as the target airflow.

[0078] In this embodiment, the impact of vehicle operating status on temperature adjustment range and airflow is higher than that on user perception deviation level. When determining the target temperature adjustment range and target airflow, the impact of vehicle operating status is given priority. When the vehicle is operating at its limit, the temperature adjustment range is reduced and the airflow is decreased to avoid excessive resource consumption by the air conditioning system, prioritizing driving needs. When the vehicle is operating normally, the user perception deviation level is then considered. When the user perception deviation level is high (severe level), the airflow is increased to accelerate temperature adjustment and improve user experience.

[0079] For example, the preset ratio can be 50% or other values, the preset temperature range can be 1℃ or other values, the preset air volume can be level 3 or other values, and the preset air volume increment can be level 2 or other values. The specific values ​​of the preset ratio, preset temperature range, preset air volume and preset air volume increment are not limited here.

[0080] In some embodiments, the correspondence between air volume and target supply air temperature can be preset. Based on the current target supply air temperature and the correspondence between air volume and target supply air temperature, the air volume corresponding to the current target supply air temperature is determined as the basic air volume.

[0081] In other embodiments, environmental data and driving data of the vehicle can be collected, the change in air volume can be determined based on the current target air supply temperature and the temperature of the collected environmental data and driving data, and the base air volume can be calculated based on the change in air volume and the preset initial air volume value.

[0082] This embodiment dynamically determines the target temperature adjustment range and target airflow according to priority levels, based on different vehicle operating states and / or different levels of user perception deviation. This achieves a balance between ensuring safe vehicle operation and meeting users' personalized temperature adjustment needs. When the vehicle is in extreme operating conditions, priority is given to ensuring the vehicle's driving needs, while the temperature adjustment speed is accelerated when the user's perception deviation is large.

[0083] In one embodiment of this application, before determining the target temperature adjustment range and target airflow based on the vehicle's current operating status and / or the user's current perceived state, the method includes: collecting the current ambient temperature, the current solar radiation intensity, and the current vehicle speed; calculating the temperature difference based on the current target air supply temperature and the current ambient temperature; calculating the airflow change based on the calculated temperature difference and the corresponding preset airflow weight, the current solar radiation intensity and the corresponding preset airflow weight, and the current vehicle speed and the corresponding preset airflow weight; and summing the airflow change and the preset initial airflow value to obtain the base airflow.

[0084] In this embodiment, the ambient temperature can be at least one of the vehicle interior temperature and the vehicle exterior temperature. The temperature difference between the target supply air temperature and the ambient temperature is the primary factor determining the airflow; the greater the temperature difference, the higher the airflow. Solar radiation intensity is a secondary factor determining the airflow; the higher the solar radiation intensity, the higher the airflow. By matching the temperature difference and solar radiation intensity to the appropriate temperature difference, efficient and accurate airflow control is achieved. Simultaneously, since high-speed wind noise can easily affect user comfort, vehicle speed can be used to correct the airflow. The faster the vehicle speed, the greater the windward airflow; noise can be reduced by decreasing the air conditioning fan speed, thus achieving a balance between noise control and airflow reduction.

[0085] In some embodiments, the temperature difference can be calculated based on the current target air supply temperature and the current vehicle interior temperature. The current target air supply temperature is constrained by a preset temperature range. If the current target air supply temperature is within the preset temperature range, the difference between the current target air supply temperature and the current vehicle interior temperature is directly calculated as the temperature difference. If the current target air supply temperature is less than the minimum value of the preset temperature range, the difference between the minimum value of the preset temperature range and the current vehicle interior temperature is calculated as the temperature difference. If the current target air supply temperature is greater than the maximum value of the preset temperature range, the difference between the maximum value of the preset temperature range and the current vehicle interior temperature is calculated as the temperature difference.

[0086] In some embodiments, the basic air volume can be calculated as follows: F _ base = I *| T _ in - TAO _ bio |+ J *( S / 1000)- K * V _ car + L Equation (5) in, F _ base Basic air volume, T _ in For the temperature inside the car, TAO _ bio The current target supply air temperature, S For solar radiation intensity, V _ car For vehicle speed, L To preset the initial airflow value, I The preset airflow weight corresponding to the temperature difference. J The preset airflow weight corresponding to the solar radiation intensity. K Preset airflow weights corresponding to vehicle speed, | T _ in - TAO _ bio | indicates temperature difference. I *| T _ in - TAO _ bio |+ J *( S / 1000)- K * V _ car This indicates the change in air volume.

[0087] For example,I It can be 2, J It can be 1, K It can be 0.05. L It can be level 1, of course. I , J , K , L Other values ​​are also allowed; there are no restrictions here.

[0088] Please see Figure 3 , Figure 3 This is a flowchart of a personalized temperature adjustment provided in an embodiment of this application, such as... Figure 3 As shown, the process for personalized temperature adjustment is mainly as follows: Acquire environmental data of the vehicle and physiological data of the users inside the vehicle. Please refer to Table 1, which is a data input table provided in one embodiment of this application. As shown in Table 1, environmental data includes in-vehicle temperature, outside temperature, solar radiation intensity, and in-vehicle humidity; physiological data includes body surface temperature, heart rate variability, and respiratory rate. For example, for environmental data, the in-vehicle temperature can be collected by an onboard multi-point temperature sensor to avoid misjudgment due to local temperature differences; the outside temperature can be collected by an onboard external temperature sensor to determine the magnitude of the heat load; the solar radiation intensity can be collected by an onboard solar radiation sensor to calculate the additional heat load brought by solar radiation; and the in-vehicle humidity can be collected by an onboard humidity sensor to correct the perceived temperature. For physiological data, the body surface temperature can be collected by a temperature sensor in a smartwatch as the core input to reflect the human body's thermal state; the heart rate variability can be collected by a PPG sensor in a smartwatch to determine the human body's stress state; and the respiratory rate can be collected by a motion sensor in a smartwatch to assist in verifying the thermal state and stress state.

[0089] The physiological data is screened for validity. After determining that the user's physiological state is relaxed based on heart rate variability and respiratory rate, a physiological deviation coefficient is calculated, primarily based on body surface temperature and secondarily on respiratory rate. Simultaneously, the user's set temperature is corrected based on in-vehicle temperature, outside temperature, sunlight intensity, and in-vehicle humidity to calculate the baseline air supply temperature.

[0090] The basic air supply temperature is corrected based on the physiological deviation coefficient, and the personalized air supply temperature is calculated to obtain the target air supply temperature. The target air volume is dynamically calculated based on the temperature difference between the target air supply temperature and the in-vehicle temperature, with the remaining battery power (or engine water temperature), body surface temperature, sunlight intensity, and vehicle speed as influencing factors.

[0091] The air conditioner adjusts the compressor speed (when cooling) or the PTC power (when heating) according to the target air supply temperature, and adjusts the fan speed according to the target air volume, thereby achieving personalized temperature control.

[0092] Table 1

[0093] The detailed process of this personalized temperature control is described in the foregoing embodiments and will not be repeated here. By capturing core needs through physiological data and determining the adjustment boundaries through environmental data, and using sensors from wearable devices to collect physiological data for automatic air conditioning control, this approach breaks away from the current automatic air conditioning logic that relies solely on environmental data. It effectively solves the problems of inaccurate adjustment and mismatch with human comfort in traditional air conditioning, enabling more accurate adjustment of passenger cabin temperature and airflow, providing passengers with an accurate and comfortable air conditioning experience. Furthermore, precise data monitoring can reduce unnecessary energy consumption. In addition, as vehicles become increasingly intelligent, they have formed functional interactions with electronic products such as mobile phones and smart wearable devices, even creating a complete product ecosystem. This personalized temperature control solution significantly enhances the necessity and benefits of interconnectivity between vehicles and wearable devices, offering significant advantages in improving user convenience, intelligence, and ecosystem acceptance, thus contributing to the construction of the automotive ecosystem.

[0094] Please see Figure 4 , Figure 4 This is a block diagram of an air conditioning control device according to an embodiment of this application. This device can be applied to... Figure 1 The implementation environment shown is specifically configured in computer device 130. This device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0095] like Figure 4 As shown, the exemplary air conditioning control device includes: a data acquisition module 410, used to acquire the current base air supply temperature of the air conditioner and at least one user's current physiological data, wherein the physiological data includes multiple vital sign parameters, each of which has a different category; an information processing module 420, used to calculate the user's current physiological deviation coefficient based on at least two of the user's current vital sign parameters, and to correct the current base air supply temperature based on the user's current physiological deviation coefficient to obtain the current target air supply temperature; and an execution module 430, used to control the operation of the air conditioner according to the current target air supply temperature.

[0096] In this embodiment, the data acquisition module 410 can be various sensors, a smartphone, or a smart wearable device equipped with various sensors, such as a smartwatch, smart bracelet, or smart glasses. It can also be a hardware device used to collect data from the aforementioned sensors or wearable devices. The information processing module 420 can be a computer, computing cluster, microcomputer, embedded computer, neural network computer, processor, etc., or a microprocessor or chip such as an MCU (Microcontroller Unit) or ECU (Electronic Control Unit). The execution module 430 can be an MCU, a driver chip, etc., and there are no limitations here. The execution module 430 can be configured in vehicles such as automobiles, special vehicles, trains, ships, and airplanes. The data acquisition module 410 and the information processing module 420 can be configured in the aforementioned vehicles or in the cloud, and there are no limitations here.

[0097] In some embodiments, the data acquisition module 410, the information processing module 420, and the execution module 430 may be configured in the air conditioning control system of a vehicle or an indoor space.

[0098] In some embodiments, the data acquisition module 410 includes a first acquisition unit for acquiring the baseline supply air temperature and a second acquisition unit for acquiring physiological data. The first acquisition unit, the information processing module 420, and the execution module 430 can be configured in the air conditioning control system of a vehicle or an indoor space, and the second acquisition unit can be a smart wearable device such as a smartwatch, smart bracelet, or smart glasses.

[0099] It should be noted that the air conditioning control device and the air conditioning control method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the air conditioning control device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0100] In one embodiment of this application, an electronic device is also provided, comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the air conditioning control method provided in the above embodiments.

[0101] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer system for an electronic device provided in one embodiment of this application.Figure 5 The computer system 500 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0102] like Figure 5 As shown, the computer system 500 includes a central processing unit 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory 502 or a program loaded from a storage section 508 into a random access memory 503, such as performing the methods described in the above embodiments. The random access memory 503 also stores various programs and data required for system operation. The central processing unit 501, the read-only memory 502, and the random access memory 503 are interconnected via a bus 504. An input / output interface 505 is also connected to the bus 504.

[0103] The following components are connected to the input / output interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including CRT (Cathode Ray Tube), LCD (Liquid Crystal Display), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 510 as needed so that computer programs read from it can be installed into the storage section 508 as needed.

[0104] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit 501, it performs various functions defined in the system of this application.

[0105] The computer-readable medium shown in the embodiments of this application may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory), flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0106] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0107] Another aspect of this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the air conditioning control method as described above. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not assembled into the electronic device.

[0108] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the air conditioning control method provided in the various embodiments described above.

[0109] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. An air conditioning control method, characterized in that, The method includes: The system acquires the current base air supply temperature of the air conditioner and the current physiological data of at least one user, wherein the physiological data includes multiple vital sign parameters, and the categories of each vital sign parameter are different. The user's current physiological deviation coefficient is calculated based on at least two vital sign parameters, and the current base air supply temperature is corrected based on the user's current physiological deviation coefficient to obtain the current target air supply temperature. The operation of the air conditioner is controlled according to the current target supply air temperature.

2. The air conditioning control method according to claim 1, characterized in that, Before calculating the user's current physiological deviation coefficient based on at least two current vital sign parameters, the method includes: The user's current physiological state is determined based on the user's current cardiovascular parameters and current respiratory parameters, wherein the physiological state includes a state of tension or relaxation, and the multiple vital sign parameters include the cardiovascular parameters and the respiratory parameters; Assuming the user's current physiological state is determined to be relaxed, the user's current physiological deviation coefficient is calculated based on at least two of the user's current vital sign parameters.

3. The air conditioning control method according to claim 1, characterized in that, The user's current physiological deviation coefficient is calculated based on at least two of the user's current vital sign parameters, including: The difference between the preset body temperature parameter baseline value and the user's current body temperature parameter is calculated to obtain the user's current body temperature deviation coefficient. Similarly, the difference between the preset respiratory parameter baseline value and the user's current respiratory parameter is calculated to obtain the user's current respiratory deviation coefficient. The multiple vital sign parameters include the body temperature parameter and the respiratory parameter. The current vital signs weight ratio of the user is determined according to the user's current body temperature deviation coefficient, and the current physiological deviation coefficient of the user is obtained by weighted calculation based on the user's current body temperature deviation coefficient and the corresponding body temperature weight coefficient, the user's current respiratory deviation coefficient and the corresponding respiratory weight coefficient, wherein the body temperature weight coefficient and the respiratory weight coefficient are obtained based on the vital signs weight ratio.

4. The air conditioning control method according to any one of claims 1-3, characterized in that, Controlling the operation of the air conditioner according to the current target supply air temperature includes: The current operating status of the vehicle is determined based on the current driving data of the vehicle, and the current level of the user's physical deviation is determined based on the current physiological data of the user. The driving data is obtained by collection, the operating status includes normal operating status or extreme operating status, and the level of physical deviation includes normal level or severe level. The target temperature adjustment range and target air volume are determined based on the current operating status of the vehicle and / or the current level of the user's perceived discomfort. The air conditioner is controlled to perform periodic temperature adjustment according to the current target air supply temperature and the target temperature adjustment range, with a preset duration as the cycle. Within each cycle, the air conditioner is controlled to adjust the air speed according to the target air volume, until the change between the current target air supply temperature and the latest target air supply temperature reaches a preset condition. The target air supply temperature is calculated according to a preset step size, which is less than or equal to the preset duration.

5. The air conditioning control method according to claim 4, characterized in that, Determine the target temperature adjustment range and target airflow based on the vehicle's current operating status and / or the user's current level of perceived discomfort, including: Under the condition that the current operating state of the vehicle is the extreme operating state, the target temperature adjustment range is calculated according to the preset ratio and the preset temperature adjustment range, and the minimum value is selected from the preset air volume and the basic air volume as the target air volume, wherein the basic air volume is determined based on the current target air supply temperature. Under the condition that the vehicle is currently in normal operating condition and the user's current level of physical discomfort is severe, the preset temperature adjustment range is used as the target temperature adjustment range, and the preset air volume increment and the base air volume are summed to obtain the target air volume. Under the condition that the vehicle is currently in normal operating condition and the user's current level of physical discomfort is normal, the preset temperature adjustment range is used as the target temperature adjustment range, and the basic air volume is used as the target air volume.

6. The air conditioning control method according to claim 5, characterized in that, Before determining the target temperature adjustment range and target airflow based on the current operating status of the vehicle and / or the current perceived physical state of the user, the method includes: Collect current ambient temperature, current sunlight intensity, and current vehicle speed; The temperature difference is calculated based on the current target air supply temperature and the current ambient temperature. The air volume change is then calculated based on the calculated temperature difference and the corresponding preset air volume weight, the current solar radiation intensity and the corresponding preset air volume weight, and the current vehicle speed and the corresponding preset air volume weight. The basic air volume is obtained by summing the air volume change and the preset initial air volume value.

7. The air conditioning control method according to claim 1, characterized in that, Obtain the current base air supply temperature of the air conditioner, including: The system obtains the current user-set temperature, current ambient temperature, current ambient humidity, and current solar radiation intensity, and calculates the current base supply air temperature based on these parameters. or, Historical temperature regulation data is acquired, including the user's historical physiological data before manual temperature adjustment, as well as the historical target air supply temperature and historical user-set temperature after manual temperature adjustment. A mathematical model for determining the base air supply temperature is established based on the target air supply temperature, the user-set temperature, and the physiological data. The current base air supply temperature is obtained by fitting the mathematical model to the user's historical physiological data before manual temperature adjustment, as well as the historical target air supply temperature and historical user-set temperature after manual temperature adjustment.

8. An air conditioning control device, characterized in that, The air conditioning control device includes: The data acquisition module is used to acquire the current basic air supply temperature of the air conditioner and the current physiological data of at least one user, wherein the physiological data includes multiple vital sign parameters, and the categories of each vital sign parameter are different. The information processing module is used to calculate the user's current physiological deviation coefficient based on at least two vital sign parameters, and to correct the current base air supply temperature based on the user's current physiological deviation coefficient to obtain the current target air supply temperature. The execution module is used to control the operation of the air conditioner according to the current target supply air temperature.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the air conditioning control method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by the computer's processor, causes the computer to perform the air conditioning control method as described in any one of claims 1-7.

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