Air conditioner control method and device, air conditioner and storage medium

Abstract

The invention relates to an air conditioner control method and device, an air conditioner and a storage medium. The method comprises the steps that physiological data and facial expression data corresponding to a target object are obtained, and environment data of the environment where a target air conditioner to be controlled is located are obtained; based on the physiological data and the environment data, initial control parameters corresponding to the target air conditioner are determined, and based on the facial expression data, the emotional state corresponding to the target object is determined; correcting the initial control parameter by utilizing the emotional state to obtain a first control parameter corresponding to the target air conditioner; and based on the first control parameter, the target air conditioner is controlled. According to the method and the device, the defect that the instant influence of the emotional state on the somatosensory comfort is neglected due to control only depending on physiological data and environmental data is avoided, and the environmental comfort, health and safety in the exercise process are guaranteed.

Description

Technical Field

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

[0002] With the popularization of healthy living concepts and the normalization of indoor sports activities, users have placed higher demands on environmental comfort and health and safety during exercise. Current technologies for personalized air conditioning control typically rely on wearable devices to collect real-time physiological data (e.g., heart rate, blood oxygen saturation) and combine this data with environmental data of the air conditioner's location (e.g., indoor temperature, indoor humidity, outdoor temperature). Machine learning models are then used to generate air conditioning control commands for dynamic adjustment. However, this method, which relies solely on physiological data, ignores the immediate impact of the user's emotional state on perceived comfort. For example, users in a state of tension or excitement may experience a heightened need for coolness, thus affecting their user experience. Summary of the Invention

[0003] This application provides a method, apparatus, air conditioner, and storage medium for controlling an air conditioner, in order to solve the problem that the prior art, which only uses the user's physiological data to control the air conditioner, affects the user experience.

[0004] In a first aspect, this application provides a method for controlling an air conditioner, including: Acquire physiological data and facial expression data corresponding to the target object, and acquire environmental data of the environment in which the target air conditioner to be controlled is located; Based on the physiological data and the environmental data, the initial control parameters corresponding to the target air conditioner are determined, and based on the facial expression data, the emotional state corresponding to the target object is determined; The initial control parameters are corrected using the emotional state to obtain the first control parameters corresponding to the target air conditioner; The target air conditioner is controlled based on the first control parameter.

[0005] In one optional implementation, the emotional state corresponds to an emotional score; The step of using the emotional state to correct the initial control parameters to obtain the first control parameters corresponding to the target air conditioner includes: Based on the emotional state, determine the target parameter compensation coefficient corresponding to the initial control parameter; Based on the target parameter compensation coefficient and the emotion score, determine the parameter compensation value corresponding to the initial control parameter; The initial control parameters are corrected using the parameter compensation value to obtain the first control parameters corresponding to the target air conditioner.

[0006] In one optional implementation, the physiological data includes the target object's skin temperature and exercise intensity, and the environmental data includes indoor humidity; The step of determining the target parameter compensation coefficient corresponding to the initial control parameter based on the emotional state includes: Obtain the initial parameter compensation coefficients corresponding to the emotional state; The target correction factor is determined based on the skin temperature, the exercise intensity, and the indoor humidity. Based on the initial parameter compensation coefficient and the target correction factor, the target parameter compensation coefficient corresponding to the initial control parameter is determined.

[0007] In an optional implementation, the first control parameter includes a first temperature, a first wind speed, and a first humidity. After performing the step of controlling the target air conditioner based on the first control parameter, the method further includes: Determine the sweat evaporation efficiency corresponding to the skin surface of the target object; When the sweat evaporation efficiency is within the preset sweat evaporation efficiency range, the target air conditioner continues to be controlled based on the first temperature, the first wind speed, and the first humidity. When the sweat evaporation efficiency is not within the preset sweat evaporation efficiency range, determine the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity. The first wind speed is corrected using the target wind speed compensation value, and the first humidity is corrected using the target humidity compensation value; The target air conditioner is controlled based on the first temperature, the corrected first wind speed, and the corrected first humidity.

[0008] In an optional implementation, determining the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity includes: Based on the sweat evaporation efficiency and the preset sweat evaporation efficiency range, determine the target deviation direction of the sweat evaporation efficiency from the preset sweat evaporation efficiency range, and the target deviation level of the sweat evaporation efficiency from the preset sweat evaporation efficiency range in the target deviation direction; Based on the target deviation direction and the target deviation level, determine the initial wind speed compensation value corresponding to the first wind speed and the initial humidity compensation value corresponding to the first humidity. Determine the target body type corresponding to the target object, wherein the target body type is used to characterize the body type of the target object related to thermal comfort; The initial wind speed compensation value and the initial humidity compensation value are corrected based on the target body type to obtain the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity.

[0009] In one optional implementation, there are multiple target objects and multiple first control parameters, with each of the multiple target objects corresponding to one of the multiple first control parameters, and the physiological data including the skin temperature and exercise intensity of the target objects; The step of controlling the target air conditioner based on the first control parameter includes: For each target object, a target weight is determined based on the target object's skin temperature, exercise intensity, and corresponding emotional state. Based on each of the target weights, a weighted average is performed on each of the first control parameters to obtain the first target control parameters corresponding to the target air conditioner; The target air conditioner is controlled based on the first target control parameters.

[0010] In an optional implementation, before performing the step of controlling the target air conditioner based on the first control parameter, the method further includes: Obtain the target material corresponding to the clothing worn by the target object; The step of controlling the target air conditioner based on the first control parameter includes: The initial control parameters are corrected using the target material to obtain the second control parameters corresponding to the target control. Based on the first control parameter and the second control parameter, determine the second target control parameter corresponding to the target air conditioner; The target air conditioner is controlled based on the second target control parameters.

[0011] Secondly, this application provides an air conditioner control device, comprising: The acquisition module is used to acquire physiological data and facial expression data corresponding to the target object, as well as environmental data of the environment in which the target air conditioner to be controlled is located; The determination module is used to determine the initial control parameters corresponding to the target air conditioner based on the physiological data and the environmental data, and to determine the emotional state corresponding to the target object based on the facial expression data. The correction module is used to correct the initial control parameters using the emotional state to obtain the first control parameters corresponding to the target air conditioner; The control module is used to control the target air conditioner based on the first control parameters.

[0012] Thirdly, this application provides an air conditioner, including: a processor and a memory, wherein the processor is used to execute an air conditioner control program stored in the memory to implement the air conditioner control method described above.

[0013] Fourthly, this application provides a storage medium storing one or more programs that can be executed by one or more processors to implement the air conditioner control method described above.

[0014] Compared with the prior art, the technical solutions provided in this application have the following advantages. The air conditioning control method provided in this application includes: acquiring physiological data and facial expression data corresponding to a target object, and acquiring environmental data of the environment in which the target air conditioning to be controlled is located; determining initial control parameters corresponding to the target air conditioning based on the physiological data and environmental data, and determining the emotional state corresponding to the target object based on the facial expression data; correcting the initial control parameters using the emotional state to obtain the first control parameters corresponding to the target air conditioning; and controlling the target air conditioning based on the first control parameters. Through the above methods, this embodiment acquires the physiological data, facial expression data, and environmental data of the target object and the environment in which the air conditioner is located. First, it determines the initial control parameters of the air conditioner based on the physiological and environmental data. Then, it identifies the emotional state of the target object through facial expression data and uses this emotional state to specifically modify the initial control parameters to obtain the first control parameters. Finally, it regulates the air conditioner based on the first control parameters. This achieves a deep integration of objective physiological needs, environmental adaptation conditions, and subjective emotional preferences, avoiding the drawbacks of relying solely on physiological and environmental data for control while ignoring the immediate impact of emotional state on physical comfort. This improves the personalization and accuracy of air conditioner control, bringing users a more comfortable environmental experience that meets their immediate needs and ensuring environmental comfort and health safety during exercise. Attached Figure Description

[0015] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0018] Figure 1 A schematic flowchart illustrating an air conditioner control method provided in an embodiment of this application; Figure 2 A flowchart illustrating another air conditioner control method provided in an embodiment of this application; Figure 3 A flowchart illustrating yet another air conditioner control method provided in an embodiment of this application; Figure 4 A flowchart illustrating another air conditioner control method provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an air conditioner control device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an air conditioner provided in an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0021] refer to Figure 1 , Figure 1This is a flowchart illustrating an air conditioner control method provided in an embodiment of this application. The air conditioner control method provided in this application includes the following steps: S101: Obtain physiological data and facial expression data corresponding to the target object, and obtain environmental data of the environment in which the target air conditioner to be controlled is located.

[0022] In this embodiment, physiological data refers to real-time data that reflects the target object's physiological state. Physiological data includes the target object's heart rate, blood oxygen saturation, skin temperature, and exercise intensity. This physiological data is typically collected through wearable devices such as smart bracelets or sports watches worn by the target object. Exercise intensity can be obtained based on the following formula: (heart rate - resting heart rate) / (maximum heart rate - resting heart rate), where resting heart rate is the target object's baseline heart rate at rest, and maximum heart rate is the target object's maximum heart rate during exercise. Both resting heart rate and maximum heart rate can be obtained by learning relevant data from the target object during the air conditioning control process.

[0023] Facial expression data refers to the facial muscle movement data of the target object. Facial muscle movements can include eye muscle movements, mouth muscle movements, etc. This data can be acquired by an image acquisition device installed in the air conditioner, which captures an image of the target object's face. The data contained in this facial image constitutes the target object's facial expression data. Environmental data refers to the environmental data of the indoor and outdoor environments where the target air conditioner is located. Environmental data includes indoor and outdoor ambient temperatures, indoor and outdoor humidity, and can be acquired by various types of sensors integrated into the target air conditioner.

[0024] Among them, reference Figure 3 As shown, when physiological data corresponding to the target object is obtained, if the duration for which the blood oxygen saturation included in the physiological data is greater than the blood oxygen saturation threshold exceeds a first preset duration, the air conditioner is controlled to enter safety mode, that is, step S101 is continued, controlling the target air conditioner's fresh air intake to the maximum fresh air intake value and controlling the target air conditioner's oxygen production to the maximum oxygen production value. At the same time, an alarm prompt is triggered (an audible and visual alarm may be triggered). After controlling the target air conditioner's fresh air intake and oxygen production, the indoor oxygen concentration of the indoor environment where the target air conditioner is located is obtained. If the indoor oxygen concentration is greater than or equal to the oxygen concentration threshold, step S101 is returned to be executed. If the indoor oxygen concentration is less than the oxygen concentration threshold, the steps of controlling the target air conditioner's fresh air intake to the maximum fresh air intake value and controlling the target air conditioner's oxygen production to the maximum oxygen production value are returned to be executed.

[0025] Specifically, the first preset duration can be 30 seconds, the blood oxygen saturation threshold can be 95%, and the oxygen concentration threshold can be 25%. The blood oxygen saturation and oxygen concentration thresholds can be set according to actual needs. During air conditioning control, to improve the safety of the target's movement, when the target's blood oxygen saturation is too high, the fresh air and oxygen production of the target air conditioner are controlled to increase the oxygen content in the indoor environment where the target air conditioner is located, ensuring the target's movement safety. When the indoor oxygen concentration is greater than or equal to the oxygen concentration threshold, step S101 can be continued.

[0026] It should be noted that during the process of controlling the target air conditioner's fresh air intake to the maximum fresh air intake and controlling the target air conditioner's oxygen production to the maximum oxygen production, the target air conditioner can continue to be controlled so that the indoor temperature reaches the set temperature, the indoor humidity reaches the set humidity, and the target air conditioner's fan speed reaches the set fan speed.

[0027] S102: Based on physiological and environmental data, determine the initial control parameters corresponding to the target air conditioner, and based on facial expression data, determine the emotional state of the target object.

[0028] In this embodiment, the initial control parameters refer to the basic control target values ​​of the target air conditioner calculated based on physiological and environmental data, including the initial target temperature, initial target humidity, and initial target wind speed. Emotional state refers to the subjective emotional type of the target object identified based on facial expression data, such as tension or excitement.

[0029] In this embodiment, a machine learning model can be pre-trained based on a training sample set, which includes the correspondence between physiological data, environmental data, and air conditioning control parameters. After acquiring the physiological and environmental data, these data are input into the pre-trained machine learning model, causing the model to output the initial control parameters corresponding to the target air conditioner. The machine learning model can be selected according to actual needs, and this embodiment does not impose any limitations. Similarly, an emotion recognition model can be pre-trained based on a training sample set, which includes the correspondence between facial expression data and emotional states. After acquiring the facial expression data, this data is input into the emotion recognition model, causing it to output the emotional state corresponding to the target object.

[0030] S103: Use emotional state to correct the initial control parameters to obtain the first control parameters corresponding to the target air conditioner.

[0031] In this embodiment, the initial control parameters include the initial temperature of the indoor environment, the initial humidity of the indoor environment, and the initial fan speed of the target air conditioner. After determining the initial control parameters corresponding to the target air conditioner and the emotional state corresponding to the target object, the target parameter compensation values ​​corresponding to the initial temperature, the initial humidity, and the initial fan speed in the initial control parameters can be determined based on the emotional state. The initial temperature is corrected using the target parameter compensation value corresponding to the initial temperature to obtain a first temperature, the initial humidity is corrected using the target parameter compensation value corresponding to the initial humidity to obtain a first humidity, and the initial fan speed is corrected using the target parameter compensation value corresponding to the initial target fan speed to obtain a first fan speed. The first temperature, the first humidity, and the first fan speed are determined as the first control parameters corresponding to the target air conditioner. The first temperature is the set temperature of the indoor environment, the first humidity is the set humidity of the indoor environment, and the first fan speed is the set fan speed of the target air conditioner.

[0032] It should be noted that, to obtain the first control parameter corresponding to the target air conditioner more accurately, the current target scenario is determined based on exercise intensity and emotional state, taking into account physiological data including exercise intensity. A set of historical feedback information of the target object in the target scenario is obtained. This historical feedback information indicates the target object's feedback on the control result of the target air conditioner after it has been controlled. For example, if the target object reports overheating after controlling the target air conditioner in the target scenario, it indicates that the control at that time could not meet the target object's needs. After obtaining the historical feedback information set, the initial control parameters are simultaneously adjusted using both the emotional state and the historical feedback information set to obtain the first control parameter.

[0033] When simultaneously adjusting the initial control parameters using emotional state and historical feedback information sets, historical feedback information belonging to the same feedback type can be grouped into multiple groups. The first number of historical feedback information included in each group and the second number of all historical feedback information in the set are then determined. For each feedback type, the target frequency is determined using the ratio of the first to the second number of the group to which that feedback type belongs. The feedback type with the highest target frequency is identified from all feedback types. Based on this feedback type, a target correction value is determined, thus obtaining an accurate first control parameter using emotional state and the target correction value.

[0034] The feedback types mentioned above can include overheating, overcooling, and comfort. Of course, feedback types can also be set according to actual needs. A correspondence between feedback types and correction values ​​can be pre-defined. After obtaining the maximum target frequency, the target correction value is determined based on this correspondence. This target correction value includes target correction values ​​for initial temperature, initial humidity, and initial wind speed. When determining the first temperature, the initial temperature can be corrected based on the target parameter compensation value and the target correction value corresponding to the initial temperature to obtain the first temperature. The determination methods for the first humidity and the first wind speed are consistent with the method for determining the first temperature described above.

[0035] S104: Control the target air conditioner based on the first control parameters.

[0036] In this embodiment, after determining the first control parameters, the various components in the target air conditioner are controlled so that the indoor temperature reaches the first temperature in the first control parameters, the indoor humidity reaches the first humidity in the first control parameters, and the target air conditioner operates at the first wind speed.

[0037] Specifically, reference Figure 4 To rapidly achieve a first temperature and humidity level in the indoor environment, the target air conditioner is controlled based on a first control parameter. The indoor and outdoor temperatures are acquired. When the indoor temperature is higher than the first temperature and the outdoor temperature is lower than the indoor temperature, the target air conditioner activates fresh air intake to utilize the lower outdoor temperature for cooling until the indoor temperature reaches the first temperature. Conversely, when the outdoor temperature is higher than the first temperature and equal to or greater than the indoor temperature, the target air conditioner shuts off fresh air intake to avoid interference from the high outdoor temperature, thus ensuring the indoor temperature reaches the first temperature. Similarly, when the indoor temperature is lower than the first temperature and the outdoor temperature is higher than the indoor temperature, the target air conditioner activates fresh air intake to utilize the higher outdoor temperature for heating until the indoor temperature reaches the first temperature, then shuts off fresh air intake. Finally, when the outdoor temperature is lower than the first temperature and equal to or less than the indoor temperature, the target air conditioner shuts off fresh air intake to avoid interference from the low outdoor temperature, thus ensuring the indoor temperature reaches the first temperature.

[0038] While controlling the indoor ambient temperature, the indoor ambient humidity is also controlled. Specifically, the indoor ambient humidity is acquired, and when the indoor ambient humidity is greater than a certain threshold, the target air conditioner is controlled to turn on dehumidification. Once the indoor ambient humidity reaches the threshold, the target air conditioner is controlled to turn off dehumidification. When the indoor ambient humidity reaches the threshold, neither dehumidification nor humidification is controlled on the target air conditioner. When the indoor ambient humidity is less than the target humidity, the target air conditioner is controlled to turn on humidification. Once the indoor ambient humidity reaches the target humidity, the target air conditioner is controlled to turn off humidification.

[0039] While controlling the indoor ambient temperature, the indoor ambient oxygen concentration is also controlled. Specifically, the indoor ambient oxygen concentration is obtained, and when the indoor ambient oxygen concentration is less than or equal to a preset oxygen concentration threshold, the target air conditioner is controlled to turn on oxygen production so that the indoor ambient oxygen concentration is greater than the preset oxygen concentration threshold. Then, the target air conditioner is controlled to turn off oxygen production. When the indoor ambient oxygen concentration is greater than the preset oxygen concentration threshold, the target air conditioner is controlled to turn off oxygen production.

[0040] This embodiment provides an air conditioning control method that acquires physiological data, facial expression data, and environmental data of the target object's environment. First, initial control parameters for the air conditioning are determined based on the physiological and environmental data. Then, the target object's emotional state is identified through facial expression data, and the initial control parameters are specifically modified using this emotional state to obtain a first control parameter. Finally, the air conditioning is regulated based on the first control parameter. This method achieves a deep integration of objective physiological needs, environmental adaptation conditions, and subjective emotional preferences, avoiding the drawbacks of relying solely on physiological and environmental data while ignoring the immediate impact of emotional state on physical comfort. It improves the personalization and accuracy of air conditioning control, providing users with a more comfortable environment that meets their immediate needs and ensuring environmental comfort and health safety during exercise.

[0041] refer to Figure 2 , Figure 2 This is a flowchart illustrating another air conditioner control method provided in an embodiment of this application. An air conditioner control method provided in this application includes the following steps: S201: Obtain physiological data and facial expression data corresponding to the target object, and obtain environmental data of the environment in which the target air conditioner to be controlled is located.

[0042] S202: Based on physiological and environmental data, determine the initial control parameters corresponding to the target air conditioner, and based on facial expression data, determine the emotional state corresponding to the target object.

[0043] Regarding steps S201 and S202, step S201 is the same as step S101, and step S202 is the same as step S102. For details, please refer to the description of steps S101 and S102 above. This embodiment will not repeat the description here.

[0044] S203: Based on the emotional state, determine the target parameter compensation coefficient corresponding to the initial control parameters.

[0045] S204: Determine the target parameter compensation value based on the target parameter compensation coefficient and the emotion score.

[0046] S205: Correct the initial control parameters using the target parameter compensation value to obtain the first control parameter corresponding to the target air conditioner.

[0047] Regarding steps S203 to S205 above, the emotional state corresponds to an emotional score. The emotional score is obtained by the emotion recognition model from the input facial expression data; that is, while the emotion recognition model outputs the emotional state, this emotional state also has an emotional score. When determining the target parameter compensation coefficient, the correspondence between the emotional state and the parameter compensation coefficients of each parameter (indoor ambient temperature, indoor ambient humidity, and wind speed) can be used to determine the target parameter compensation coefficients corresponding to the initial temperature, initial humidity, and initial wind speed.

[0048] After obtaining the emotion score, the target parameter compensation coefficients corresponding to the initial temperature, the initial humidity, and the initial wind speed, for the initial temperature, a first product is determined between the target parameter compensation coefficient and the initial temperature, and the sum of the initial temperature and the first product is determined as the first temperature; for the initial humidity, a second product is determined between the target parameter compensation coefficient and the initial humidity, and the sum of the initial humidity and the second product is determined as the first humidity; for the initial wind speed, a third product is determined between the target parameter compensation coefficient and the initial wind speed, and the sum of the initial wind speed and the third product is determined as the first humidity. Through the above methods, this embodiment quantifies the emotional state into a continuous emotion score and combines it with the target parameter compensation coefficients corresponding to the emotional state to achieve precise correction of the initial control parameters corresponding to the target air conditioner, thereby obtaining the final target control parameters for the target air conditioner. This ensures that after controlling the target air conditioner based on the target control parameters, the indoor environment can meet both the user's physiological needs and take into account the user's emotional state, improving the user experience.

[0049] In this embodiment, if the physiological data includes the target object's skin temperature and exercise intensity, and the environmental data includes indoor humidity, the above-mentioned step S203 specifically includes: Obtain the initial parameter compensation coefficients corresponding to the emotional state; The target correction factor was determined based on skin temperature, exercise intensity, and indoor humidity. Based on the initial parameter compensation coefficient and the target correction factor, the target parameter compensation coefficient corresponding to the initial control parameters is determined.

[0050] The initial parameter compensation coefficients can include the initial parameter compensation coefficients corresponding to the initial temperature, the initial parameter compensation coefficients corresponding to the initial humidity, and the initial parameter compensation coefficients corresponding to the initial wind speed. The parameter compensation coefficients obtained by the above-mentioned correspondence between emotional state and the parameter compensation coefficients of each parameter (indoor ambient temperature, indoor ambient humidity, and wind speed) can be determined as the initial parameter compensation coefficients.

[0051] After obtaining the initial parameter compensation coefficients, the target skin temperature and target indoor humidity corresponding to the target object can be acquired. The target skin temperature is the optimal skin temperature for the target object under the current exercise intensity, and the target indoor humidity is the optimal indoor humidity for the target object under the current exercise intensity. The target skin temperature and target indoor humidity can be obtained by establishing a correspondence between different exercise intensities and target skin temperature and target indoor humidity for the target object after accumulating multiple data points. Based on this correspondence, the target skin temperature and target indoor humidity corresponding to the target object under the current exercise intensity can be determined.

[0052] After obtaining the target skin temperature and target indoor humidity, the following steps are taken: First, determine the first deviation between the skin temperature and the target skin temperature; second, determine the second deviation between the indoor humidity and the target indoor humidity; and third, determine the first correction factor corresponding to the exercise intensity. Based on the first deviation, determine the second correction factor corresponding to the skin temperature and the third correction factor corresponding to the indoor humidity. Finally, determine the fourth product of the first, second, and third correction factors, and use this fourth product as the target correction factor. The sum of the initial parameter correction coefficients and the fourth product is then determined as the target parameter compensation coefficient corresponding to the emotional state. It should be noted that the first, second, and third correction factors have both magnitude and direction.

[0053] Specifically, a pre-set correspondence between exercise intensity and correction factors can be established. After obtaining the exercise intensity, a first correction factor corresponding to the exercise intensity is determined based on this correspondence. Similarly, a pre-set correspondence between deviation ranges for different skin temperatures and correction factors can be established. After obtaining the first deviation, the deviation range to which the first deviation belongs is determined, and a second correction factor corresponding to the first deviation is obtained based on the determined deviation range and the aforementioned correspondence. Likewise, a pre-set correspondence between deviation ranges for different indoor humidity levels and correction factors can be established. After obtaining the second deviation, the deviation range to which the second deviation belongs is determined, and a third correction factor corresponding to the second deviation is obtained based on the determined deviation range and the aforementioned correspondence. Through the above methods, this embodiment first obtains the initial parameter compensation coefficient corresponding to the emotional state, then integrates skin temperature, exercise intensity, and indoor humidity to determine the target correction factor, and finally uses the target correction factor to dynamically adjust the initial coefficient to obtain the target parameter compensation coefficient. This achieves multi-dimensional collaborative correction based on emotion and assisted by physiology and environment, avoiding the one-sidedness of correction caused by determining the target compensation coefficient solely based on emotional state. This ensures that the correction of the target air conditioner's control parameters matches emotional preferences, physiological needs, and environmental adaptation conditions, further improving the user experience.

[0054] S206: Control the target air conditioner based on the first control parameter.

[0055] In one implementation, there are multiple target objects and multiple first control parameters, with each target object corresponding to one of the multiple first control parameters. The physiological data includes the skin temperature and exercise intensity of the target objects. Step S206 specifically includes: For each target object, the target weight is determined based on the target object's skin temperature, exercise intensity, and corresponding emotional state. Based on the weights of each target, a weighted average is calculated on each first control parameter to obtain the first target control parameter corresponding to the target air conditioner; The target air conditioner is controlled based on the first target control parameters.

[0056] Here, multiple target objects can be understood as multiple users within the controlled space (i.e., indoor environment) of the target air conditioner. For each target object, the first control parameter corresponding to the target object can be determined through steps S201 to S205 above. The target weight corresponding to the target object is determined based on a comprehensive assessment of the target object's skin temperature, exercise intensity, and emotional state.

[0057] When determining the target weight for a target object, the target skin temperature is standardized based on the target skin temperature of the target object to obtain a standardized value. This standardized skin temperature is the optimal skin temperature for the target object. Standardization can be achieved by subtracting the target skin temperature from the target skin temperature to obtain the temperature difference, which is then divided by 2 to complete the standardization. For exercise intensity and emotional state, pre-defined correspondences with quantified values ​​are established. Based on these correspondences, the quantified values ​​corresponding to exercise intensity and emotional state can be determined. The target weight for the target object is obtained by weighted summing the standardized skin temperature value, the quantified value corresponding to exercise intensity, and the quantified value corresponding to emotional state, based on the pre-defined weights for skin temperature, exercise intensity, and emotional state.

[0058] For example, for target A, the standardized value of skin temperature = (37.3-35.5) / 2 = 0.9, the quantitative value corresponding to exercise intensity is 0.85, the quantitative value corresponding to emotional state (tension) is 1.0, the preset weight corresponding to skin temperature is 0.4, the preset weight corresponding to exercise intensity is 0.4 and the preset weight corresponding to emotional state is 0.2, then the target weight corresponding to target A = 0.4×0.9+0.4×0.85+0.2×1.0=0.36+0.34+0.2=0.9.

[0059] After obtaining the weights of each target, for the first temperature included in the first control parameter, the target weight corresponding to each target object is weighted and summed with the first temperature corresponding to that target object. The ratio of the sum obtained by the weighted sum to all target weights is used to determine the first target temperature, which is the temperature of the indoor environment that the air conditioner needs to control. Similarly, for the first humidity and first wind speed included in the first control parameter, the first target humidity and first target wind speed are determined in the same way as above, and the first target temperature, first target humidity, and first target wind speed are determined as the first target control parameters.

[0060] It should be noted that after obtaining the initial target control parameters, the target air conditioning zones are controlled to distribute air. Specifically, multiple air deflectors of the target air conditioning system are controlled independently. Based on the location data of the target objects, the main air ducts (especially cold air and high-oxygen air) can be continuously directed towards target objects with high target weights. Within the air ducts, the air dampers leading to the areas of high-weight target objects are fully open, while the air dampers leading to the areas of low-weight target objects are half-open or closed, ensuring that resources are prioritized for allocation to the users who need them most.

[0061] In this embodiment, the individual target weights are determined based on the skin temperature, exercise intensity, and emotional state of multiple users. The first control parameters of each user are weighted and averaged to obtain the air conditioning control parameters adapted to multiple target objects. This avoids discomfort for some users caused by conflicting needs in multi-user scenarios and improves the overall comfort and user experience of multiple target objects.

[0062] In another embodiment, before performing step S206, the air conditioner control method provided in this embodiment further includes the following steps: Get the target material corresponding to the clothing worn by the target object.

[0063] Step S206 specifically includes: The initial control parameters are corrected using the target material to obtain the second control parameters corresponding to the target air conditioner; Based on the first control parameter and the second control parameter, determine the second target control parameter corresponding to the target air conditioner; The target air conditioner is controlled based on the second target control parameters.

[0064] The target material refers to the core fabric material of the clothing worn by the target object, such as cotton, quick-drying polyester, nylon, or wool. The target material can be identified by photographing the clothing worn by the target object using an image acquisition device in the target air conditioner. A pre-trained clothing material recognition model is then used to identify the target material from the photographed image. The clothing material recognition model can be trained based on a training sample set, where each training sample includes the correspondence between clothing images and clothing materials. After obtaining the target material, the corresponding temperature, humidity, and wind speed correction coefficients can be determined based on pre-set correspondences between different materials and temperature, humidity, and wind speed correction coefficients. The initial temperature, humidity, and wind speed in the initial control parameters are then corrected using the temperature correction coefficient to obtain a second temperature; the initial humidity is corrected using the humidity correction coefficient to obtain a second humidity; and the initial wind speed is corrected using the wind speed correction coefficient to obtain a second wind speed. These second temperature, second humidity, and second wind speed are then defined as the second control parameters.

[0065] After obtaining the first and second control parameters, they are fused to obtain the final second target control parameters corresponding to the target air conditioner. Based on these second control parameters, the target air conditioner is then controlled. Fusing the first and second control parameters can be understood as follows: for temperature, the average temperature between the first and second control parameters is determined as the second target temperature; for humidity, the average humidity between the first and second control parameters is determined as the second target humidity; and for wind speed, the average wind speed between the first and second control parameters is determined as the second target wind speed. The second target temperature, second target humidity, and second target wind speed are then defined as the second target control parameters. By using the above methods, this embodiment obtains the target material of the clothing of the target object, corrects the initial control parameters based on the material characteristics, and integrates the first control parameters dominated by emotions to obtain the final control parameters. This avoids the disconnect between the regulation and the comfort needs of the emotional state caused by ignoring the differences in clothing materials (such as sweating when wearing cotton clothing during intense exercise, or feeling too cold when wearing quick-drying materials). It improves the accuracy and personalized adaptability of air conditioning regulation in different clothing scenarios, and further enhances the user experience.

[0066] In this embodiment, if the first control parameters include a first temperature, a first wind speed, and a first humidity, after executing step S206, the air conditioning control method provided in this embodiment further includes the following steps: Determine the sweat evaporation efficiency corresponding to the skin surface of the target object; When the sweat evaporation efficiency is within the preset sweat evaporation efficiency range, the target air conditioner continues to be controlled based on the first temperature, first wind speed, and first humidity. When the sweat evaporation efficiency is not within the preset sweat evaporation range, determine the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity. The first wind speed is corrected using the target wind speed compensation value, and the first humidity is corrected using the target humidity compensation value; The target air conditioner is controlled based on the first temperature, the corrected first wind speed, and the corrected first humidity.

[0067] Here, sweat evaporation efficiency refers to the efficiency of the sweat evaporation process on the skin surface of the target object. When determining sweat evaporation efficiency, the convective heat transfer coefficient needs to be determined based on the first wind speed included in the first control parameter; the skin surface area of ​​the target object needs to be determined based on the target weight and height; the skin saturated water vapor partial pressure needs to be determined based on the skin temperature; and the air water vapor partial pressure needs to be determined based on the indoor humidity. The convective heat transfer coefficient, skin surface area, skin saturated water vapor partial pressure, and air water vapor partial pressure are then input into the sweat evaporation efficiency determination formula to obtain the sweat evaporation efficiency corresponding to the skin surface of the target object. The sweat evaporation efficiency determination formula includes:

[0068] In the above formula, This indicates the efficiency of sweat evaporation. Indicates skin surface area. Indicates the partial pressure of water vapor saturated in the skin. It represents the partial pressure of water vapor in the air.

[0069] Specifically, a pre-set correspondence between different wind speeds and convective heat transfer coefficients can be established to determine the convective heat transfer coefficient corresponding to the target wind speed based on the target wind speed and the aforementioned correspondence. Similarly, a pre-set correspondence between different heights, weights, and skin surface areas can be established to determine the skin surface area corresponding to the target height and weight based on the target height, target weight, and the aforementioned correspondence. The methods for determining the skin saturated water vapor partial pressure and the air water vapor partial pressure are consistent with existing technologies and can be referred to in detail in this embodiment; further explanation is omitted here.

[0070] More specifically, after obtaining the sweat evaporation efficiency, the sweat evaporation efficiency is compared with a preset sweat evaporation efficiency range. The preset sweat evaporation efficiency range is determined to be the optimal range for the target object. When the sweat evaporation efficiency falls within this range, it indicates that controlling the target air conditioner with the currently determined first control parameters can meet the target object's needs. Conversely, when the sweat evaporation efficiency falls outside this range, it indicates that controlling the target air conditioner with the currently determined first control parameters cannot meet the target object's needs. Since sweat evaporation efficiency is primarily related to wind speed and humidity, a target wind speed compensation value is determined for the first wind speed, and a target humidity compensation value is determined for the first humidity. The target wind speed compensation value is used to correct the first wind speed, resulting in a corrected first wind speed. Similarly, the target humidity compensation value is used to correct the first humidity, resulting in a corrected first humidity. Based on the first temperature, the corrected first wind speed, and the corrected first humidity, the target air conditioner is controlled. In this embodiment, after controlling the target air conditioner based on the first control parameter, the sweat evaporation efficiency corresponding to the target object is obtained. When the sweat evaporation efficiency exceeds the preset sweat evaporation efficiency range, the first control parameter is corrected to form a closed-loop feedback. This avoids the inaccurate response to the user's physical comfort needs due to differences in sweat evaporation efficiency under the same physiological data and emotional state. This makes the control of the air conditioner more in line with the personalized needs of different users and improves the user experience.

[0071] In the above, determining the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity includes: Based on the sweat evaporation efficiency and the preset sweat evaporation efficiency range, the target deviation direction of the sweat evaporation efficiency from the preset sweat evaporation efficiency range is determined, as well as the target deviation level of the sweat evaporation efficiency from the preset sweat evaporation efficiency range in the target deviation direction. Based on the target deviation direction and target deviation level, determine the initial wind speed compensation value corresponding to the first wind speed and the initial humidity compensation value corresponding to the first humidity. Determine the target body type corresponding to the target object; The initial wind speed compensation value and initial humidity compensation value are corrected based on the target body type to obtain the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity.

[0072] In this embodiment, the target deviation direction can be understood as the deviation trend of sweat evaporation efficiency relative to the preset sweat evaporation efficiency range, including two types: below the preset sweat evaporation efficiency range and above the preset sweat evaporation efficiency range. The target deviation level can be understood as the degree of deviation of sweat evaporation efficiency from the preset sweat evaporation efficiency range in the target deviation direction, for example, it can be divided into mild, moderate and severe. The initial wind speed compensation value can be understood as a pre-set wind speed compensation value based on the target deviation direction and target deviation level, without considering the individual physical differences of users. Similarly, the initial humidity compensation value can be understood as a pre-set humidity compensation value based on the target deviation direction and target deviation level, without considering the individual physical differences of users. The target physical type is used to characterize the physical type of the target object related to thermal comfort. For example, physical type includes easy-to-sweat type, normal type (i.e., normal sweating), and difficult-to-sweat type. The physical type can be determined by input from the target object or by system learning.

[0073] If the sweat evaporation efficiency is not within the preset sweat evaporation efficiency range, and the sweat evaporation efficiency is less than the lower limit of the preset sweat evaporation efficiency range. If the target deviation direction is determined to be below the preset sweat evaporation efficiency range, then the deviation direction is determined to be below the preset sweat evaporation efficiency range. If the target deviation direction is determined to be higher than the preset sweat evaporation efficiency range, then the magnitude level of the deviation from the preset sweat evaporation efficiency range (i.e., the target deviation level) can be determined based on the interval limit corresponding to the sweat evaporation efficiency and the target deviation direction. For example, if the target deviation direction is higher than the preset sweat evaporation efficiency range, then the upper limit of the interval between the sweat evaporation efficiency and the preset sweat evaporation efficiency range can be determined. The deviation between the two is used to determine the target deviation level based on the pre-set correspondence between different deviations and deviation levels.

[0074] After obtaining the target deviation direction and target deviation level, the initial wind speed compensation value corresponding to the target deviation direction and target deviation level can be determined based on the pre-set correspondence between different deviation directions, deviation levels, and wind speed compensation values. Similarly, the initial humidity compensation value corresponding to the target deviation direction and target deviation level can be determined based on the pre-set correspondence between different deviation directions, deviation levels, and humidity compensation values.

[0075] After obtaining the initial wind speed compensation value and the initial humidity compensation value, based on the pre-set correspondence between different body types and correction coefficients, the correction coefficients for the initial wind speed compensation value and the initial humidity compensation value corresponding to the target body type are determined. The initial wind speed compensation value is then corrected using the correction coefficients to obtain the target wind speed compensation value, and the initial humidity compensation value is corrected using the correction coefficients to obtain the target humidity compensation value. Through this method, this embodiment determines the compensation values ​​for the first wind speed and the first humidity by the deviation direction and level of sweat evaporation efficiency, and then performs personalized corrections based on the target body type corresponding to the target object. This avoids insufficient control adaptation caused by ignoring body type differences, making the air conditioner's wind speed and humidity adjustments more closely match the user's physiological characteristics, further improving the user experience.

[0076] This embodiment provides an air conditioning control method that acquires physiological data, facial expression data, and environmental data of the target object's environment. First, initial control parameters for the air conditioning are determined based on the physiological and environmental data. Then, the target object's emotional state is identified through facial expression data, and the initial control parameters are specifically modified using this emotional state to obtain a first control parameter. Finally, the air conditioning is regulated based on the first control parameter. This method achieves a deep integration of objective physiological needs, environmental adaptation conditions, and subjective emotional preferences, avoiding the drawbacks of relying solely on physiological and environmental data while ignoring the immediate impact of emotional state on physical comfort. It improves the personalization and accuracy of air conditioning control, providing users with a more comfortable environment that meets their immediate needs and ensuring environmental comfort and health safety during exercise.

[0077] refer to Figure 5 , Figure 5 This is a schematic diagram of the structure of an air conditioner control device provided in an embodiment of this application. The air conditioner control device provided in this embodiment includes an acquisition module 10, a determination module 20, a correction module 30, and a control module 40. The acquisition module 10 is used to acquire physiological data and facial expression data corresponding to a target object, and to acquire environmental data of the environment in which the target air conditioner to be controlled is located. The determination module 20 is used to determine initial control parameters corresponding to the target air conditioner based on the physiological data and the environmental data, and to determine the emotional state corresponding to the target object based on the facial expression data. The correction module 30 is used to correct the initial control parameters using the emotional state to obtain first control parameters corresponding to the target air conditioner. The control module 40 is used to control the target air conditioner based on the first control parameters.

[0078] In this embodiment, the emotional state corresponds to an emotional score; the correction module 30 is further used for: Based on the emotional state, determine the target parameter compensation coefficient corresponding to the initial control parameter; Based on the target parameter compensation coefficient and the emotion score, determine the parameter compensation value corresponding to the initial control parameter; The initial control parameters are corrected using the parameter compensation value to obtain the first control parameters corresponding to the target air conditioner.

[0079] In this embodiment, the physiological data includes the target object's skin temperature and exercise intensity, and the environmental data includes indoor humidity; the correction module 30 is further configured to: Obtain the initial parameter compensation coefficients corresponding to the emotional state; The target correction factor is determined based on the skin temperature, the exercise intensity, and the indoor humidity. Based on the initial parameter compensation coefficient and the target correction factor, the target parameter compensation coefficient corresponding to the initial control parameter is determined.

[0080] In this embodiment, the first control parameters include a first temperature, a first wind speed, and a first humidity; the control module 40 is further configured to: Determine the sweat evaporation efficiency corresponding to the skin surface of the target object; When the sweat evaporation efficiency is within the preset sweat evaporation efficiency range, the target air conditioner continues to be controlled based on the first temperature, the first wind speed, and the first humidity. When the sweat evaporation efficiency is not within the preset sweat evaporation efficiency range, determine the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity. The first wind speed is corrected using the target wind speed compensation value, and the first humidity is corrected using the target humidity compensation value; The target air conditioner is controlled based on the first temperature, the corrected first wind speed, and the corrected first humidity.

[0081] In this embodiment, the control module 40 is further configured to: Based on the sweat evaporation efficiency and the preset sweat evaporation efficiency range, determine the target deviation direction of the sweat evaporation efficiency from the preset sweat evaporation efficiency range, and the target deviation level of the sweat evaporation efficiency from the preset sweat evaporation efficiency range in the target deviation direction; Based on the target deviation direction and the target deviation level, determine the initial wind speed compensation value corresponding to the first wind speed and the initial humidity compensation value corresponding to the first humidity. Determine the target body type corresponding to the target object, wherein the target body type is used to characterize the body type of the target object related to thermal comfort; The initial wind speed compensation value and the initial humidity compensation value are corrected based on the target body type to obtain the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity.

[0082] In this embodiment, there are multiple target objects and multiple first control parameters, with each target object corresponding to one of the multiple first control parameters. The physiological data includes the skin temperature and exercise intensity of the target objects. The control module 40 is further configured to: For each target object, a target weight is determined based on the target object's skin temperature, exercise intensity, and corresponding emotional state. Based on each of the target weights, a weighted average is performed on each of the first control parameters to obtain the first target control parameters corresponding to the target air conditioner; The target air conditioner is controlled based on the first target control parameters.

[0083] In this embodiment, the acquisition module 10 is further configured to: Obtain the target material corresponding to the clothing worn by the target object.

[0084] In this embodiment, the control module 40 is further configured to: The initial control parameters are corrected using the target material to obtain the second control parameters corresponding to the target control. Based on the first control parameter and the second control parameter, determine the second target control parameter corresponding to the target air conditioner; The target air conditioner is controlled based on the second target control parameters.

[0085] This embodiment provides an air conditioning control device that acquires physiological data, facial expression data, and environmental data of the target object's environment. First, it determines the initial control parameters of the air conditioner based on the physiological and environmental data. Then, it identifies the target object's emotional state through facial expression data and uses this emotional state to specifically modify the initial control parameters to obtain a first control parameter. Finally, it regulates the air conditioner based on the first control parameter. This achieves a deep integration of objective physiological needs, environmental adaptation conditions, and subjective emotional preferences, avoiding the drawbacks of relying solely on physiological and environmental data for control while ignoring the immediate impact of emotional state on physical comfort. It improves the personalization and accuracy of air conditioning control, providing users with a more comfortable environmental experience that meets their immediate needs, and ensuring environmental comfort and health safety during exercise.

[0086] Figure 6 This is a schematic diagram of the structure of an air conditioner provided in an embodiment of this application. Figure 6 The air conditioner 600 shown includes: at least one processor 601, a memory 602, at least one network interface 604, and other user interfaces 603. The various components in the air conditioner 600 are coupled together via a bus system 605. It is understood that the bus system 605 is used to implement communication between these components. In addition to a data bus, the bus system 605 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 6 All buses are labeled as Bus System 605.

[0087] The user interface 603 may include a display, keyboard, or clicking device (e.g., mouse, trackball, touchpad, or touchscreen).

[0088] It is understood that the memory 602 in this embodiment of the invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 602 described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0089] In some implementations, memory 602 stores elements, executable units or data structures, or subsets thereof, or extended sets thereof: operating system 6021 and application program 6022.

[0090] The operating system 6021 includes various system programs, such as the framework layer, core library layer, and driver layer, used to implement various basic business functions and handle hardware-based tasks. The application program 6022 includes various applications, such as a media player and a browser, used to implement various application functions. The program implementing the method of this embodiment can be included in the application program 6022.

[0091] In this embodiment of the invention, the processor 601 executes the method steps provided in each method embodiment by calling the program or instructions stored in the memory 602, specifically the program or instructions stored in the application program 6022.

[0092] The methods disclosed in the above embodiments of the present invention can be applied to processor 601, or implemented by processor 601. Processor 601 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 601 or by instructions in the form of software. The processor 601 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of the present invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software units in the decoding processor. The software units may be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 602. Processor 601 reads the information in memory 602 and, in conjunction with its hardware, completes the steps of the above method.

[0093] It is understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described herein, or combinations thereof.

[0094] For software implementation, the techniques described herein can be implemented by units that perform the functions described herein. The software code can be stored in memory and executed by a processor. The memory can be implemented in the processor or external to the processor.

[0095] The air conditioner provided in this embodiment can be as follows: Figure 6 The air conditioner shown can perform the following functions: Figures 1-4 All steps of the control method for central air conditioning, thereby achieving Figures 1-4 For details on the technical effects of the air conditioner control method shown, please refer to [link / reference]. Figures 1-4 The relevant descriptions are presented concisely and will not be elaborated upon here.

[0096] This invention also provides a storage medium (computer-readable storage medium). This storage medium stores one or more programs. The storage medium may include volatile memory, such as random access memory; it may also include non-volatile memory, such as read-only memory, flash memory, hard disk, or solid-state drive; and it may also include combinations of the above types of memory.

[0097] When one or more programs in the storage medium can be executed by one or more processors to implement the air conditioning control method described above, which is executed on the air conditioning control device side.

[0098] Those skilled in the art will further 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, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. 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 implementations should not be considered beyond the scope of this invention.

[0099] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0100] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for controlling an air conditioner, characterized in that, include: Acquire physiological data and facial expression data corresponding to the target object, and acquire environmental data of the environment in which the target air conditioner to be controlled is located; Based on the physiological data and the environmental data, the initial control parameters corresponding to the target air conditioner are determined, and based on the facial expression data, the emotional state corresponding to the target object is determined; The initial control parameters are corrected using the emotional state to obtain the first control parameters corresponding to the target air conditioner; The target air conditioner is controlled based on the first control parameter.

2. The method according to claim 1, characterized in that, The emotional state corresponds to an emotional score; The step of using the emotional state to correct the initial control parameters to obtain the first control parameters corresponding to the target air conditioner includes: Based on the emotional state, determine the target parameter compensation coefficient corresponding to the initial control parameter; Based on the target parameter compensation coefficient and the emotion score, determine the parameter compensation value corresponding to the initial control parameter; The initial control parameters are corrected using the parameter compensation value to obtain the first control parameters corresponding to the target air conditioner.

3. The method according to claim 2, characterized in that, The physiological data includes the target object's skin temperature and exercise intensity, and the environmental data includes indoor humidity. The step of determining the target parameter compensation coefficient corresponding to the initial control parameter based on the emotional state includes: Obtain the initial parameter compensation coefficients corresponding to the emotional state; The target correction factor is determined based on the skin temperature, the exercise intensity, and the indoor humidity. Based on the initial parameter compensation coefficient and the target correction factor, the target parameter compensation coefficient corresponding to the initial control parameter is determined.

4. The method according to claim 1, characterized in that, The first control parameters include a first temperature, a first wind speed, and a first humidity. After performing the step of controlling the target air conditioner based on the first control parameter, the method further includes: Determine the sweat evaporation efficiency corresponding to the skin surface of the target object; When the sweat evaporation efficiency is within the preset sweat evaporation efficiency range, the target air conditioner continues to be controlled based on the first temperature, the first wind speed, and the first humidity. When the sweat evaporation efficiency is not within the preset sweat evaporation efficiency range, determine the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity. The first wind speed is corrected using the target wind speed compensation value, and the first humidity is corrected using the target humidity compensation value; The target air conditioner is controlled based on the first temperature, the corrected first wind speed, and the corrected first humidity.

5. The method according to claim 4, characterized in that, Determining the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity includes: Based on the sweat evaporation efficiency and the preset sweat evaporation efficiency range, determine the target deviation direction of the sweat evaporation efficiency from the preset sweat evaporation efficiency range, and the target deviation level of the sweat evaporation efficiency from the preset sweat evaporation efficiency range in the target deviation direction; Based on the target deviation direction and the target deviation level, determine the initial wind speed compensation value corresponding to the first wind speed and the initial humidity compensation value corresponding to the first humidity. Determine the target body type corresponding to the target object, wherein the target body type is used to characterize the body type of the target object related to thermal comfort; The initial wind speed compensation value and the initial humidity compensation value are corrected based on the target body type to obtain the target wind speed compensation value corresponding to the first wind speed and the target humidity compensation value corresponding to the first humidity.

6. The method according to claim 1, characterized in that, There are multiple target objects and multiple first control parameters. Each of the multiple target objects corresponds to one of the multiple first control parameters. The physiological data includes the skin temperature and exercise intensity of the target objects. The step of controlling the target air conditioner based on the first control parameter includes: For each target object, a target weight is determined based on the target object's skin temperature, exercise intensity, and corresponding emotional state. Based on each of the target weights, a weighted average is performed on each of the first control parameters to obtain the first target control parameters corresponding to the target air conditioner; The target air conditioner is controlled based on the first target control parameters.

7. The method according to claim 1, characterized in that, Before performing the step of controlling the target air conditioner based on the first control parameter, the method further includes: Obtain the target material corresponding to the clothing worn by the target object; The step of controlling the target air conditioner based on the first control parameter includes: The initial control parameters are corrected using the target material to obtain the second control parameters corresponding to the target control. Based on the first control parameter and the second control parameter, determine the second target control parameter corresponding to the target air conditioner; The target air conditioner is controlled based on the second target control parameters.

8. A control device for an air conditioner, characterized in that, include: The acquisition module is used to acquire physiological data and facial expression data corresponding to the target object, as well as environmental data of the environment in which the target air conditioner to be controlled is located; The determination module is used to determine the initial control parameters corresponding to the target air conditioner based on the physiological data and the environmental data, and to determine the emotional state corresponding to the target object based on the facial expression data. The correction module is used to correct the initial control parameters using the emotional state to obtain the first control parameters corresponding to the target air conditioner; The control module is used to control the target air conditioner based on the first control parameters.

9. An air conditioner, comprising: A processor and a memory, the processor being configured to execute an air conditioner control program stored in the memory to implement the air conditioner control method according to any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores one or more programs, which can be executed by one or more processors to implement the air conditioner control method according to any one of claims 1 to 7.

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