Air conditioner and control method thereof

Abstract

The invention relates to an air conditioner and a control method thereof. The air conditioner comprises an indoor unit and an outdoor unit. The first sensing sensor is used for collecting environment data of a target environment; the second perception sensor is used for identifying the target state of the target object; the first temperature sensor is used for collecting the environment temperature of the target environment; the controller is used for extracting a body surface area and a bedding coverage area from the environmental data under the condition that the sleep guarding mode is started and the target object is in a sleep state; taking the area proportion of the bedding coverage area in the body surface area as the bedding coverage rate; according to the bedding coverage rate, determining a cold catching risk grade of the target object; according to the cold catching risk grade, the target age group of the target object and the working state of the indoor unit, the target temperature and the target air speed type of the air conditioner are determined; and the indoor unit and the outdoor unit are controlled, and the environment temperature is adjusted to the target temperature according to the target air speed type. By means of the air conditioner, the risk of catching cold can be lowered in a targeted mode.

Description

Technical Field

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

[0002] With the continuous development of air conditioner control technology, intelligentization has become an important development direction, significantly improving user convenience. For example, it can adaptively adjust the cooling / heating temperature according to the ambient temperature, thus improving the user experience to a certain extent.

[0003] However, for sleep scenarios, traditional air conditioners rely solely on ambient temperature for control, and individual differences exist among users, leading to a discrepancy between the actual temperature felt and the set temperature. This can result in the user experiencing excessive cold or even catching a chill during sleep, thus affecting their user experience. Summary of the Invention

[0004] Therefore, it is necessary to provide an air conditioner and its control method to address the aforementioned technical problems, thereby reducing the risk of catching a cold and meeting the personalized comfort needs of different user groups.

[0005] In a first aspect, some embodiments provide an air conditioner, including:

[0006] Indoor unit and outdoor unit;

[0007] The first sensing sensor is configured to collect environmental data of the target environment, which includes the target object and the target bedding covering the target object.

[0008] The second sensing sensor is configured to identify the target state of the target object; the target state includes a sleep state.

[0009] The first temperature sensor is configured to collect the ambient temperature of the target environment;

[0010] The controller, connected to the first sensing sensor, the second sensing sensor, and the first temperature sensor, is configured to:

[0011] When the sleep protection mode is enabled and the target is asleep, extract the target's body surface area and the area covered by the bedding on the body surface area from the environmental data.

[0012] The percentage of the area covered by bedding on the body surface is taken as the bedding coverage rate for the target object.

[0013] Determine the risk level of catching a cold for the target group based on the bedding coverage rate;

[0014] Obtain the target age group of the target object and the working status of the indoor unit; the working status includes standby status and running status;

[0015] Based on the risk level of catching a cold, the target age group, and the working status, determine the target temperature and target fan speed type of the air conditioner; control the indoor and outdoor units to adjust the ambient temperature to the target temperature according to the target fan speed type.

[0016] In the above embodiments, by extracting the body surface area and the area covered by bedding from environmental data when the sleep protection mode is activated and the target subject is asleep, the degree of bedding coverage on the body surface can be accurately quantified. Using the proportion of the bedding-covered area to the body surface area as the bedding coverage rate, the proportion of the body surface area exposed to the environment can be objectively reflected. This bedding coverage rate can then be used to determine the risk level of catching a cold, ensuring that risk assessment is based on actual coverage rather than subjective judgment. By combining the target subject's risk level of catching a cold, the target age group, and the operating status of the indoor unit, the target temperature and target fan speed type of the air conditioner are comprehensively determined. This ensures that the adjustment parameters meet both current environmental needs and user characteristics. Finally, by controlling the indoor and outdoor units to adjust the ambient temperature to the target temperature according to the target fan speed type, precise temperature control is achieved, dynamically adapting to changes in bedding coverage, user age characteristics, and air conditioner operating status. This effectively reduces the risk of catching a cold due to insufficient bedding coverage during sleep, while also considering environmental comfort and equipment energy efficiency.

[0017] Secondly, some embodiments also provide a method for controlling an air conditioner, including:

[0018] When the sleep protection mode is enabled and the target object in the target environment is asleep, extract the target object's body surface area and the area covered by the target bedding on the target object's body surface area from the environmental data of the target environment.

[0019] The percentage of the area covered by bedding on the body surface is taken as the bedding coverage rate for the target object.

[0020] Determine the risk level of catching a cold for the target group based on the bedding coverage rate;

[0021] Obtain the target age group of the target object and the working status of the indoor unit; the working status includes standby status and running status;

[0022] Based on the risk level of catching a cold, the target age group, and the working status, determine the target temperature and target fan speed type of the air conditioner; control the indoor and outdoor units to adjust the ambient temperature of the target environment to the target temperature according to the target fan speed type.

[0023] In the above embodiments, by extracting the body surface area and the area covered by bedding from environmental data when the sleep protection mode is activated and the target subject is asleep, the degree of bedding coverage on the body surface can be accurately quantified. Using the proportion of the bedding-covered area to the body surface area as the bedding coverage rate, the proportion of the body surface area exposed to the environment can be objectively reflected. This bedding coverage rate can then be used to determine the risk level of catching a cold, ensuring that risk assessment is based on actual coverage rather than subjective judgment. By combining the target subject's risk level of catching a cold, the target age group, and the operating status of the indoor unit, the target temperature and target fan speed type of the air conditioner are comprehensively determined. This ensures that the adjustment parameters meet both current environmental needs and user characteristics. Finally, by controlling the indoor and outdoor units to adjust the ambient temperature to the target temperature according to the target fan speed type, precise temperature control is achieved, dynamically adapting to changes in bedding coverage, user age characteristics, and air conditioner operating status. This effectively reduces the risk of catching a cold due to insufficient bedding coverage during sleep, while also considering environmental comfort and equipment energy efficiency.

[0024] Thirdly, some embodiments also provide a control device for an air conditioner, including:

[0025] The extraction module is used to extract the body surface area of ​​the target object and the bedding coverage area of ​​the target object on the body surface area from the environmental data of the target environment when the sleep protection mode is enabled and the target object in the target environment is in a sleeping state.

[0026] The processing module is used to determine the percentage of the area covered by bedding on the body surface as the bedding coverage rate for the target object.

[0027] The first determination module is used to determine the risk level of catching a cold for the target object based on the bedding coverage rate;

[0028] The first acquisition module is used to acquire the target age group of the target object and the working status of the indoor unit; the working status includes standby status and running status.

[0029] The second determination module is used to determine the target temperature and target fan speed type of the air conditioner based on the risk level of catching a cold, the target age group, and the working status.

[0030] The control module is used to control the indoor and outdoor units and adjust the ambient temperature of the target environment to the target temperature according to the target wind speed type.

[0031] In the above embodiments, by extracting the body surface area and the area covered by bedding from environmental data when the sleep protection mode is activated and the target subject is asleep, the degree of bedding coverage on the body surface can be accurately quantified. Using the proportion of the bedding-covered area to the body surface area as the bedding coverage rate, the proportion of the body surface area exposed to the environment can be objectively reflected. This bedding coverage rate can then be used to determine the risk level of catching a cold, ensuring that risk assessment is based on actual coverage rather than subjective judgment. By combining the target subject's risk level of catching a cold, the target age group, and the operating status of the indoor unit, the target temperature and target fan speed type of the air conditioner are comprehensively determined. This ensures that the adjustment parameters meet both current environmental needs and user characteristics. Finally, by controlling the indoor and outdoor units to adjust the ambient temperature to the target temperature according to the target fan speed type, precise temperature control is achieved, dynamically adapting to changes in bedding coverage, user age characteristics, and air conditioner operating status. This effectively reduces the risk of catching a cold due to insufficient bedding coverage during sleep, while also considering environmental comfort and equipment energy efficiency.

[0032] Fourthly, some embodiments also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method of the second aspect described above in various possible ways.

[0033] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the method of the second aspect described above in various possible ways. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 Perspective views of the air conditioner provided for some embodiments;

[0036] Figure 2 Structural diagrams of an air conditioner provided for some embodiments;

[0037] Figure 3 A schematic diagram of the refrigerant circulation loop of an air conditioner provided for some embodiments;

[0038] Figure 4 A flowchart illustrating a control method for an air conditioner provided for some embodiments;

[0039] Figure 5A flowchart illustrating the steps for determining the target temperature in standby mode, provided for some embodiments;

[0040] Figure 6 A flowchart illustrating the steps for determining the target temperature during operation, provided for some embodiments;

[0041] Figure 7A A schematic diagram of the sleep protection module provided in some embodiments;

[0042] Figure 7B A flowchart illustrating the workflow of a sleep monitoring module provided in some embodiments;

[0043] Figure 7C A flowchart illustrating the startup process of a sleep protection module provided in some embodiments;

[0044] Figure 7D A schematic diagram illustrating a preset control strategy in standby mode, provided in some embodiments;

[0045] Figure 7E A schematic diagram of a preset control strategy in operation, provided for some embodiments;

[0046] Figure 8 A flowchart illustrating a control method for an air conditioner provided for other embodiments;

[0047] Figure 9 Structural block diagram of the control device for an air conditioner provided in some embodiments;

[0048] Figure 10 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0049] The embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described below do not represent all embodiments consistent with this application. They are merely examples of systems and methods consistent with some aspects of this application as detailed in the claims.

[0050] It should be noted that the brief descriptions of terms in this application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0051] The terms "first," "second," "third," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar or related objects or entities, and do not necessarily imply a specific order or sequence, unless otherwise specified. It should be understood that such terms are interchangeable where appropriate.

[0052] The terms “include” and “have”, and any variations thereof, are intended to cover but not exclusively include, for example, a product or device that includes a range of components is not necessarily limited to all of the components that are clearly listed, but may include other components that are not clearly listed or that are inherent to such product or device.

[0053] The term "module" refers to any known or subsequently developed hardware, software, firmware, artificial intelligence, fuzzy logic, or combination of hardware and / or software code that is capable of performing the functions associated with that element.

[0054] Please see Figures 1 to 2 , Figure 1 This is a perspective view of an air conditioner according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of an air conditioner according to an embodiment of the present invention. The air conditioner 1 provided in this embodiment includes:

[0055] Indoor unit 2, which contains indoor heat exchanger 21 and indoor fan 22;

[0056] The outdoor unit 3 is equipped with an outdoor heat exchanger 31, an outdoor fan 32, a compressor 33, a throttling component 34, and a four-way valve 35. The compressor 33, the throttling component 34, the four-way valve 35, the outdoor heat exchanger 31, and the indoor heat exchanger 21 are connected by pipelines to form a refrigerant circulation loop.

[0057] The indoor heat exchanger 21 is configured to act as an evaporator or condenser depending on the operating state of the indoor unit, so that the refrigerant flowing in the heat transfer tube exchanges heat with the air passing through the indoor heat exchanger.

[0058] The outdoor heat exchanger 31 is configured to act as a condenser or evaporator depending on the operating state of the outdoor unit, so that the refrigerant flowing in the heat transfer tube exchanges heat with the air passing through the outdoor heat exchanger.

[0059] The compressor 33 is configured to compress the refrigerant into a high-temperature, high-pressure gas;

[0060] The throttling component 34 is configured to convert the medium-temperature, high-pressure liquid after the outdoor heat exchanger absorbs and releases heat into a low-temperature, low-pressure liquid.

[0061] The four-way valve 35 is configured to switch between cooling and heating by changing the direction of refrigerant flow in the circulation loop.

[0062] Specifically, in some embodiments, the air conditioner 1 includes an indoor unit 2. Taking a wall-mounted indoor unit (shown in the figure) as an example, the indoor unit is usually installed on an indoor wall. Another example is a floor-standing indoor unit (not shown in the figure), which is also a type of indoor unit. The outdoor unit 3 is usually located outdoors and is used for heat exchange in the indoor environment. Additionally, in... Figure 1 In the diagram, outdoor unit 3, located on the opposite side of indoor unit 2, is represented by a dashed line. Indoor unit 2 and outdoor unit 3 are connected by connecting pipes 4. Indoor unit 2 contains an indoor heat exchanger 21 and an indoor fan 22. When the air conditioner is in cooling mode, the indoor heat exchanger 21 functions as an evaporator. Depending on the operating state of the indoor unit, the indoor heat exchanger 21 functions as either an evaporator or a radiator, facilitating heat exchange between the refrigerant flowing in the heat transfer tubes and the air passing through the indoor heat exchanger. The indoor fan 22 generates airflow through the indoor heat exchanger 21 to promote heat exchange between the refrigerant flowing in the heat transfer tubes of the indoor heat exchanger 21 and the indoor air. Outdoor unit 3 contains an outdoor heat exchanger 31, an outdoor fan 32, a compressor 33, a throttling component (i.e., a flow control valve) 34, and a four-way valve 35. When the air conditioner is in cooling mode, the outdoor heat exchanger 31 functions as a condenser. The outdoor fan 32 generates an airflow of outdoor air through the outdoor heat exchanger 31 to promote heat exchange between the refrigerant flowing in the heat transfer tubes of the outdoor heat exchanger 31 and the outdoor air.

[0063] Please see Figure 3 , Figure 3This is a schematic diagram of a refrigerant circulation loop for an air conditioner according to some embodiments of the present invention. The compressor 33, throttling component 34, four-way valve 35, outdoor heat exchanger 31, and indoor heat exchanger 21 are connected by pipelines to form the refrigerant circulation loop. When the air conditioner is in cooling mode, the indoor heat exchanger 21 and outdoor heat exchanger 31 function as the evaporator and condenser, respectively. The refrigerant is compressed by the compressor into a high-temperature, high-pressure gas, which enters the outdoor heat exchanger of the outdoor unit through the four-way valve. After absorbing cold and releasing heat in the outdoor heat exchanger, it becomes a medium-temperature, high-pressure liquid. After passing through the flow regulating valve, it becomes a low-temperature, low-pressure liquid. After absorbing heat and releasing cold in the indoor heat exchanger of the indoor unit, it becomes a low-temperature, low-pressure gas, returning to the compressor through the four-way valve, and then continuing the cycle. By circulating the refrigerant in the refrigerant loop, a vapor compression refrigeration cycle can be executed. The flow regulating valve can change its opening degree; decreasing the opening degree increases the flow resistance of the refrigerant passing through the flow regulating valve, while increasing the opening degree decreases the flow resistance of the refrigerant passing through the flow regulating valve. Such a flow control valve causes the refrigerant flowing from the indoor heat exchanger to the outdoor heat exchanger to expand and depressurize during refrigeration operation. Furthermore, even if the states of other components installed in the refrigerant circuit remain unchanged, the flow rate of the refrigerant flowing in the refrigerant circuit will change when the opening of the flow control valve changes.

[0064] In some embodiments, the air conditioner 1 may further include:

[0065] The first sensing sensor is configured to collect environmental data of the target environment, which includes the target object and the target bedding covering the target object.

[0066] The second sensing sensor is configured to identify the target state of the target object; the target state includes a sleep state.

[0067] The first temperature sensor is configured to collect the ambient temperature of the target environment;

[0068] The controller is connected to the first sensing sensor, the second sensing sensor, and the first temperature sensor.

[0069] For example, the first sensing sensor may include a radar sensor; correspondingly, the environmental data of the target environment may include point cloud data of the target environment. Optionally, the radar sensor may be a millimeter-wave radar with a frequency band of 60 GHz. The radar sensor may be deployed inside the air conditioner 1, and the radar sensor is equipped with a MIMO (Multiple-Input Multiple-Output) antenna array. The radar sensor may transmit a frequency-modulated continuous wave (FMCW) signal and receive reflected signals through antenna elements in the MIMO antenna array, thereby accurately capturing the three-dimensional shape of the target object and the surface of the target bedding and generating point cloud data. It is worth noting that this embodiment does not limit the specific sensor type of the first sensing sensor. For example, the first sensing sensor may also be a visual sensor, such as a camera. Correspondingly, the environmental data of the target environment may include captured images of the target environment.

[0070] For example, the second sensing sensor may include a vision sensor. The vision sensor can acquire a target image of the target object, identify the eye state of the target object in the target image, and determine the target state as a sleep state when the eyes are closed, and as a non-sleep state when the eyes are open. It is worth noting that this embodiment does not limit the specific sensor type of the second sensing sensor. For example, the second sensing sensor can also be a vital signs sensor. A vital signs sensor can identify the target state of the target object by acquiring its body movement data.

[0071] For example, the first temperature sensor may include an infrared array sensor for acquiring the ambient temperature and humidity of the target environment. Optionally, the infrared array sensor may be an 8x8 thermopile array.

[0072] With the continuous development of air conditioner control technology, intelligentization has become an important development direction, significantly improving user convenience. For example, it can adaptively adjust cooling / heating temperatures based on ambient temperature, improving the user experience to some extent. However, for sleep scenarios, traditional air conditioners rely solely on ambient temperature for control, and individual differences among users lead to discrepancies between the actual perceived temperature and the set temperature. This can result in the user experiencing excessive cold or even catching a chill during sleep, negatively impacting the user experience.

[0073] In some alternative embodiments, see Figure 4 A control method for an air conditioner is provided, applied to the controller of the air conditioner, comprising:

[0074] S410. When the sleep protection mode is enabled and the target object in the target environment is in a sleeping state, extract the body surface area of ​​the target object and the bedding coverage area of ​​the target object on the body surface area from the environmental data of the target environment.

[0075] The Sleep Guardian Mode can be understood as a mode that actively controls the air conditioner while the target device is in a sleep state. Optionally, the Sleep Guardian Mode can be activated in response to a trigger operation on the Sleep Guardian Mode option in the air conditioner remote control. Optionally, the Sleep Guardian Mode can be activated in response to a trigger operation on the Sleep Guardian Mode option in the air conditioner's display interface.

[0076] In an optional embodiment, when the sleep protection mode is enabled and the target object in the target environment is asleep, the first sensing sensor can be controlled to collect environmental data of the target environment. The environmental data includes the target object and the target bedding covering the target object.

[0077] For example, the first sensing sensor can be a radar sensor. Correspondingly, the environmental data of the target environment can include point cloud data of the target environment. Here, point cloud data can be understood as a set of spatial information used to describe the surface morphology and spatial structure of objects in the target environment.

[0078] Optionally, the body surface region of the target object and the area covered by the target bedding on the body surface region can be extracted based on the fold pattern of the target bedding in the point cloud data. It can be understood that when the target bedding covers the target object, a coverage boundary will appear between the target bedding and the target object. Accordingly, the coverage boundary and the target object boundary can be extracted from the point cloud data; the area enclosed by the coverage boundary and the target object boundary is taken as the body surface region of the target object; and the area enclosed by the coverage boundary is taken as the bedding coverage region.

[0079] It is worth noting that this embodiment does not limit the specific method for determining the body surface area and the bedding-covered area. For example, point cloud data can be input into a recognition model to identify and output the body surface area and the bedding-covered area. The recognition model can be a traditional machine learning model or a neural network model; this embodiment does not limit the specific model type.

[0080] S420. The percentage of the area covered by bedding on the body surface is taken as the bedding coverage rate for the target object.

[0081] Among them, the bedding coverage rate is used to characterize the degree to which the target bedding covers the user's body surface. The higher the bedding coverage rate, the more comprehensive the bedding coverage.

[0082] In some embodiments, the bedding coverage area includes multiple coverage sub-areas (or coverage location points); correspondingly, a first area corresponding to each coverage sub-area can be determined, and the first areas can be added together to obtain the area of ​​the bedding coverage area.

[0083] For example, let S be the first area corresponding to the i-th covered sub-region. quilt For example, in (i), the area A covered by the bedding is... quilt It can be represented as:

[0084]

[0085] Where N represents the number of covered sub-regions; i represents the index of the covered sub-region.

[0086] In some embodiments, the body surface region includes multiple body surface sub-regions (or body surface location points); correspondingly, a second area corresponding to each body surface sub-region can be determined, and the second areas can be added together to obtain the area of ​​the body surface region.

[0087] For example, let S be the second area corresponding to the j-th body surface sub-region. body Taking (j) as an example, the body surface area A body It can be represented as:

[0088]

[0089] Where M represents the number of body surface subregions, and k represents the index of the body surface subregion.

[0090] In some embodiments, the bedding coverage rate S corresponding to the target object can be determined according to the following formula. cover :

[0091]

[0092] Among them, A quilt Indicates the area covered by bedding; A body It represents the area of ​​the body surface region.

[0093] In some embodiments, the area of ​​the bedding-covered region can be corrected based on the accuracy correction factor of the point cloud data, the first pose correction factor of the target object, and the first shape correction factor of the target bedding. Specifically, the accuracy correction factor is used to correct the measurement error of the i-th covered sub-region; the first pose correction factor is used to correct the influence of the current pose of the target object on the i-th covered sub-region; and the first shape correction factor is used to correct the influence of the shape of the target bedding on the i-th covered sub-region.

[0094] For example, the corrected area A of the bedding coverage. quilt ′ can be represented as:

[0095]

[0096] Where N represents the number of covered sub-regions; i represents the index of the covered sub-region; S quilt (i) represents the first area; C precision (i) represents the accuracy correction factor for the i-th covered sub-region; C posture (i) represents the first pose correction factor for the i-th covered sub-region; C shape (i) represents the first shape correction factor for the i-th covered sub-region.

[0097] For ease of understanding, the following is an exemplary description of the accuracy correction factor, the first pose correction factor, and the first shape correction factor.

[0098] In some embodiments, the measurement error p of the covered sub-region and the first area S corresponding to the i-th covered sub-region can be obtained. quilt (i), and determine the accuracy correction factor C according to the following formula. precision (i):

[0099]

[0100] For example, if the measurement error of the i-th covered sub-region is 0.01 square meters, and the first area corresponding to the i-th covered sub-region is 0.1 square meters, then C precision (i) is 0.9.

[0101] In some embodiments, the first area S corresponding to the i-th covered sub-region of the target object under the standard pose can be obtained. a (i), and the first area S corresponding to the i-th covered sub-region under the current sleeping posture. quilt (i), and determine the first posture correction factor C according to the following formula. posture (i):

[0102]

[0103] For example, if the target object has a first area of ​​0.008 square meters corresponding to the i-th covered sub-region in its current sleeping posture (e.g., side-lying posture) and a first area of ​​0.01 square meters corresponding to the i-th covered sub-region in a standard posture (e.g., supine posture), then C posture (i) is 0.8.

[0104] In some embodiments, the first area S corresponding to the i-th covering sub-region of the target bedding in a standard shape can be obtained. b (i), and the first area S corresponding to the i-th covering sub-region under the current bedding shape. quilt(i), and determine the first shape correction factor C according to the following formula. shape (i):

[0105]

[0106] For example, if the first area corresponding to the i-th covering sub-region under the current bedding shape (e.g., a pleated shape) is 0.008 square meters, and the first area corresponding to the i-th covering sub-region under the standard shape (e.g., a flat shape) is 0.01 square meters, then C shape (i) is 0.8.

[0107] In other embodiments, the accuracy correction factor, the first posture correction factor, and the first shape correction factor can be preset values. In still other embodiments, the measurement error of the point cloud data, the sleeping posture of the target user, and the target shape of the target bedding can be obtained; the accuracy correction factor matching the measurement error, the first shape correction factor matching the sleeping posture, and the first shape correction factor matching the target shape can be queried from a preset matching library.

[0108] In some embodiments, the area of ​​the body surface region can be corrected based on a second posture correction factor for the target object and a second shape correction factor for the target bedding. The second posture correction factor corrects the effect of the target object's current posture on the body surface region; the second shape correction factor corrects the effect of the target bedding's shape on the body surface region.

[0109] For example, the corrected body surface area A body ′ can be represented as:

[0110] A body ′=A body *C posture (i)*C shape (i);

[0111] Among them, A body Indicates the area of ​​the body surface region; C posture (i) represents the second posture correction factor for the body surface region; C shape (i) represents the second shape correction factor for the body surface region.

[0112] For ease of understanding, the following is an exemplary description of the second posture correction factor and the second shape correction factor.

[0113] In some embodiments, the surface area of ​​the target object in a standard posture and the surface area in the current sleeping posture can be obtained, and the ratio of the surface area in the current sleeping posture to the surface area in the standard posture can be used as a second posture correction factor. For example, if the surface area in the current sleeping posture is 1.7 square meters and the surface area in the standard posture is 2 square meters, then the second posture correction factor is 0.85.

[0114] In some embodiments, the body surface area corresponding to the target bedding in its standard shape and the body surface area corresponding to the current bedding shape can be obtained. The ratio of the body surface area corresponding to the current bedding shape to the body surface area corresponding to the standard shape is used as a second shape correction factor. For example, if the body surface area corresponding to the current bedding shape is 1.8 square meters and the body surface area corresponding to the standard shape is 2 square meters, then the second shape correction factor is 0.9.

[0115] In other embodiments, the second posture correction factor and the second shape correction factor can be preset values. In still other embodiments, the target user's sleeping posture and the target shape of the target bedding can be obtained; a second shape correction factor matching the sleeping posture can be queried from a preset matching library, and a second shape correction factor matching the target shape can be queried.

[0116] In some embodiments, the bedding coverage rate S corresponding to the target object can be determined according to the following formula. cover :

[0117]

[0118] Among them, A quilt ′ represents the corrected area covered by the bedding; Ab ody ′ represents the corrected area of ​​the body surface region.

[0119] For example, if the area covered by the bedding consists of 100 sub-areas, each with an area of ​​0.01 square meters, an accuracy correction factor of 0.9, a first posture correction factor of 0.8 for each sub-area, a first shape correction factor of 0.8 for each sub-area, and a body surface area of ​​2 square meters, with a second posture correction factor of 0.85 and a second shape correction factor of 0.9, then it can be determined that:

[0120] The revised area covered by the bedding is: 100 × 0.01 × 0.9 × 0.8 × 0.9 = 0.648 square meters;

[0121] The corrected area of ​​the body surface region is: 2 × 0.85 × 0.95 = 1.615 square meters;

[0122] The corrected bedding coverage rate is: 0.648 / 1.615≈0.401.

[0123] S430. Determine the risk level of catching a cold for the target group based on the bedding coverage rate.

[0124] The risk level of catching a cold can be understood as different risk levels divided based on the degree of likelihood of catching a cold. It should be noted that this embodiment does not impose any limitations on the rules for classifying the risk level of catching a cold. For example, the risk level of catching a cold can be divided into a basic risk level, a first risk level, and a second risk level. In practical applications, the basic risk level can correspond to low risk, the first risk level can correspond to medium risk, and the second risk level can correspond to high risk.

[0125] In some embodiments, the air conditioner further includes a second temperature sensor configured to acquire the body surface temperature of a target object. Exemplarily, the second temperature sensor may include an infrared array sensor. Optionally, the infrared array sensor may be an 8x8 thermopile array.

[0126] Optionally, the temperature difference between body surface temperature and ambient temperature can be determined; the age factor and the time period factor corresponding to the current sleep period of the target object can be obtained; the cold risk index of the target object can be determined based on the temperature difference, bedding coverage, age factor and time period factor; and the cold risk level to which the cold risk index belongs can be determined according to preset matching conditions.

[0127] For example, a second temperature sensor can be controlled to collect the surface temperature distribution of the target object; the mean temperature corresponding to the surface temperature distribution can be determined, and the mean temperature can be used as the surface temperature. For example, Kalman filtering can be used to fuse millimeter-wave radar and infrared sensor data to obtain the temperature difference between the surface temperature and the ambient temperature.

[0128] For example, the target age of the target object can be obtained; based on the age factor function, the age factor corresponding to the target age can be determined. Optionally, the age factor f(A) can be expressed as: f(A) = 6 / A (A ≥ 1 year), where A represents the target age.

[0129] For example, the time period factor can be determined based on the target time period in which the current time is located, and different time period factors correspond to different target time periods. Optionally, a time period factor matching the target time period can be queried from a time period factor matching table. Optionally, the target time period can include late night or non-late night. The late night period is 0:00-4:00, and the non-late night period is 4:00-24:00; the time period factor corresponding to the late night period can be 1.2, and the time period factor corresponding to the non-late night period can be 1. It should be noted that the time period factor can be set by technical personnel according to needs or experience, or determined through a large number of experiments, and this application does not impose any limitations on it.

[0130] In some embodiments, temperature difference, bedding coverage, age factor, and time period factor can be input into the cold risk model to obtain the cold risk index of the target object. The cold risk model can be a traditional machine learning model or a neural network model; this embodiment does not limit the specific model type.

[0131] In some embodiments, the temperature difference value can be weighted using a first preset parameter to obtain a temperature difference risk index; the uncovered bedding rate can be determined based on the bedding coverage rate; the uncovered bedding rate can be weighted using a second preset parameter to obtain an exposure risk index; the age factor can be weighted using a third preset parameter to obtain an age risk index; the time period factor can be weighted using a fourth preset parameter to obtain a time period risk index; and the temperature difference risk index, exposure risk index, age risk index, and time period risk index can be added together to obtain a cold-catching risk index.

[0132] The first, second, third, and fourth preset parameters can be set by technicians according to their needs or experience, or determined through extensive experiments; this application does not impose any limitations on this. For example, the first preset parameter can be 1.5, the second preset parameter can be 0.6, the third preset parameter can be 0.8, and the fourth preset parameter can be 0.4.

[0133] For example, the risk index Rrist for catching a cold can be determined using the following formula:

[0134] Rrist = A1 * |ΔT0| + A2 * (1-S) cover )+A3*f(A)+A4*g(t sleep );

[0135] Where Rrist represents the risk index of catching a cold; A1 represents the first preset parameter; AT0 represents the temperature difference; A2 represents the second preset parameter; S cover Indicates bedding coverage rate; A3 represents the third preset parameter; f(A) represents the age factor; A represents the target age of the target group; A4 represents the fourth preset parameter; g(t) represents the age factor; A3 represents the age factor; A4 represents the age factor ... Asleep ) represents the time period factor, t sleep Indicates sleep period.

[0136] It should be noted that the risk of catching a cold (Rrist) is a dimensionless number. When substituting into the formula for calculation, the unit of temperature difference is °C.

[0137] For ease of understanding, the following example is provided. It should be noted that this should not be interpreted as a specific method for determining the risk index of catching a cold or a limitation on the specific values ​​of each parameter.

[0138] For example, if the temperature difference is -1.2℃, the target subject is 5 years old, the sleep period is late at night, and the bedding coverage rate is 40%, then the risk index of catching a cold (Rrist) can be determined to be 3.6.

[0139] In some embodiments, the cold risk index can be queried from the cold risk level matching table.

[0140] For example, the risk level of catching a cold may include a basic risk level, a first risk level, and a second risk level. Accordingly, if the risk index of catching a cold is less than a first threshold index, the risk level of catching a cold is determined to be the basic risk level; if the risk index of catching a cold is not less than the first threshold index and is less than a second threshold index, the risk level of catching a cold is determined to be the first risk level; and if the risk index of catching a cold is not less than the second threshold index, the risk level of catching a cold is determined to be the second risk level.

[0141] The first threshold index is less than the second threshold index. The first and second threshold indices can be set by a technician based on need or experience, or determined through extensive experimentation; this application does not impose any limitations on this. For example, the first threshold index can be 2, and the second threshold index can be 3.5.

[0142] S440: Obtain the target age group of the target object and the working status of the indoor unit; the working status includes standby status and running status.

[0143] The target age group can be understood as the age stage of the target object. This embodiment does not limit the specific way of dividing each age stage. For example, the target age group can be divided into a first age group, a second age group, and a third age group; the first age group corresponds to the childhood stage, the second age group corresponds to the adulthood stage, and the third age group corresponds to the old age stage.

[0144] For example, if the target age of the target object is less than 12 years old, the target age group is determined as the first age group; if the target age is not less than 12 years old and not more than 60 years old, the target age group is determined as the second age group; and if the target age is more than 60 years old, the target age group is determined as the third age group.

[0145] S450. Determine the target temperature and target fan speed type of the air conditioner based on the risk level of catching a cold, the target age group, and the working status.

[0146] In some embodiments, when the working state is in standby mode, a target temperature matching relationship can be obtained; and a target temperature matching the risk level of catching a cold and the target age group can be queried from the target temperature matching relationship.

[0147] In some embodiments, when the working state is the running state, a target incremental temperature for the ambient temperature is determined; the target incremental temperature is added to the ambient temperature to obtain the target temperature.

[0148] For example, the target incremental temperature can be determined based on at least one of bedding coverage, body surface temperature, target age group, and gender.

[0149] In some embodiments, wind speed type matching relationships can be obtained; from the wind speed type matching relationships, target wind speed types that match the risk level of catching a cold, target age group, and work status can be queried.

[0150] In other embodiments, a control strategy matching table can be obtained, from which a target control strategy matching the risk level of catching a cold, the target age group, and the work status can be queried. The target control strategy includes the target temperature and the target wind speed type.

[0151] S460 controls the indoor and outdoor units to adjust the ambient temperature of the target environment to the target temperature according to the target wind speed type.

[0152] In an optional embodiment, when the working state is standby and the target age group is the first age group or the third age group, a first prompt message can be sent to the terminal device corresponding to the target object.

[0153] Optionally, when the working state is standby mode and the target age group is the first age group, a first prompt message can be sent to the monitoring terminal of the target object. For example, the monitoring terminal may include the terminal device corresponding to the guardian or relative of the target object. For example, the first prompt message may include "Children's sleep temperature difference warning".

[0154] For example, cartoon voice prompts can also be output. For example, the cartoon voice prompts could include "Little friend, remember to cover yourself with the blanket."

[0155] Similarly, when the device is in standby mode and the target age group is the third age group, a first alert message can be sent to the monitoring terminal of the target individual. For example, the first alert message may include "There is a risk of low temperatures in the area where the elderly person is located," while retaining the one-button call function for further call reminders.

[0156] In some embodiments, when the working state is standby, the risk level of catching a cold is the first risk level, and the target age group is the second age group, a second prompt message can be sent to the terminal device corresponding to the target object.

[0157] For example, the terminal device may include at least one of a smartwatch, a smart speaker, and a mobile terminal. The second notification message may include vibration notification and content notification. The content notification may include "It is recommended to add a light blanket; the air conditioner will activate low-frequency mode."

[0158] In some embodiments, when a first preset condition is met, the indoor unit and the outdoor unit can be controlled to supply air to the target environment, that is, the indoor unit can be controlled to be in air supply mode; when a second preset condition is met, the indoor unit and the outdoor unit can be controlled to dehumidify the target environment, that is, the indoor unit can be controlled to be in dehumidification mode.

[0159] For example, the first preset condition may include: the operating state is standby, the risk level of catching a cold is the second risk level, and the ambient temperature is within the first temperature range. The second preset condition may include: the operating state is standby, the risk level of catching a cold is the second risk level, and the ambient temperature is within the second temperature range. The first and second temperature ranges can be set by technicians according to their needs or experience, or determined through extensive experimentation; this application does not impose any limitations on them. For example, the first temperature range may be 20℃-25℃, and the second temperature range may be 25℃-26℃.

[0160] For example, in air supply mode, the target temperature can be set to a first preset temperature; in dehumidification mode, the target temperature can be set to a second preset temperature, and the target humidity is 50%. For example, the first preset temperature can be 25°C, and the second preset temperature can be 27°C.

[0161] In the above embodiments, by extracting the body surface area and the area covered by bedding from environmental data when the sleep protection mode is activated and the target subject is asleep, the degree of bedding coverage on the body surface can be accurately quantified. Using the proportion of the bedding-covered area to the body surface area as the bedding coverage rate, the proportion of the body surface area exposed to the environment can be objectively reflected. This bedding coverage rate can then be used to determine the risk level of catching a cold, ensuring that risk assessment is based on actual coverage rather than subjective judgment. By combining the target subject's risk level of catching a cold, the target age group, and the operating status of the indoor unit, the target temperature and target fan speed type of the air conditioner are comprehensively determined. This ensures that the adjustment parameters meet both current environmental needs and user characteristics. Finally, by controlling the indoor and outdoor units to adjust the ambient temperature to the target temperature according to the target fan speed type, precise temperature control is achieved, dynamically adapting to changes in bedding coverage, user age characteristics, and air conditioner operating status. This effectively reduces the risk of catching a cold due to insufficient bedding coverage during sleep, while also considering environmental comfort and equipment energy efficiency.

[0162] In some embodiments, the target age group may include a first age group, a second age group, and a third age group divided in ascending order of age; the risk level of catching a cold may include a first risk level and a second risk level, wherein the risk index of catching a cold corresponding to the second risk level is greater than the risk index of catching a cold corresponding to the first risk level. Optionally, the risk level of catching a cold may also include a basic risk level.

[0163] In some embodiments, the target wind speed type includes a first wind speed type, a second wind speed type, and a third wind speed type, which are divided in ascending order of output wind speed.

[0164] Based on the above embodiments, some embodiments provide detailed descriptions of the target temperature determination steps in the standby state.

[0165] refer to Figure 5 The diagram shows the process for determining the target temperature in standby mode, including:

[0166] S510. When the risk level of catching a cold is the first risk level, the target age group is the first age group or the third age group, and the ambient temperature is less than the first threshold temperature, the target temperature is determined as the first target temperature; the first target temperature is greater than the first threshold temperature.

[0167] Understandably, when the risk level of catching a cold is at the highest level, the risk is relatively low. Therefore, for the second age group, it is not necessary to determine a target temperature or actively regulate the temperature. Of course, in other embodiments, the target temperature corresponding to the first risk level and the second age group can be determined as the first target temperature. This embodiment does not impose any limitations on this.

[0168] The first threshold temperature and the first target temperature can be set by a technician according to needs or experience, or determined through extensive experiments; this application does not impose any limitations on them. For example, the first threshold temperature can be 18°C ​​or 20°C, and the first target temperature can be 22.5°C.

[0169] S520. When the risk level of catching a cold is the second risk level and the ambient temperature is less than the second threshold temperature, the target temperature is determined as the second target temperature; the second target temperature is greater than the second threshold temperature and the second target temperature is greater than the first target temperature.

[0170] Understandably, when the risk level of catching a cold is the second highest, the wind direction is relatively high. Therefore, active temperature regulation can be implemented for different age groups to reduce the risk of catching a cold.

[0171] The second threshold temperature and the second target temperature can be set by a technician according to needs or experience, or determined through extensive experiments; this application does not impose any limitations on this. For example, the second threshold temperature can be 18°C ​​or 20°C, and the second target temperature can be 23°C.

[0172] In some embodiments, when the risk level of catching a cold is the second risk level and the target age group is the second age group, a third prompt message can be sent to the terminal device of the target object; if there is no control response within a preset time period, the ambient temperature is obtained; if the ambient temperature is lower than the second threshold temperature, the target temperature is determined as the second target temperature.

[0173] The target device may include a smart speaker. Correspondingly, the third prompt may include progressive ambient sounds, such as rain sounds, to wake the target.

[0174] In the above steps, by comprehensively determining the target temperature of the air conditioner when it is in standby mode, based on different risk levels of catching a cold and different target age groups, it is possible to ensure that the adjustment parameters meet the current environmental requirements and adapt to user characteristics. This enables precise temperature control that dynamically adapts to changes in bedding coverage, user age characteristics, and air conditioner operating status, thereby effectively reducing the risk of catching a cold due to insufficient bedding coverage during sleep.

[0175] Based on the above embodiments, some embodiments provide a detailed description of the steps for determining the target temperature during operation.

[0176] refer to Figure 6 The diagram shows the process for determining the target temperature during operation, including:

[0177] S610. Obtain the target object's body surface temperature, age factor, and gender factor.

[0178] For example, the second temperature sensor can be controlled to collect the surface temperature distribution of the target object; the mean temperature corresponding to the surface temperature distribution can be determined, and the mean temperature can be used as the surface temperature.

[0179] For example, the age factor can be determined based on the target age group. Optionally, the age factor corresponding to the target age group can be queried from an age factor matching table. This embodiment does not limit the specific value of the age factor. For example, the age factor corresponding to the first age group can be 1.2; the age factor corresponding to the second age group can be 1; and the age factor corresponding to the third age group can be 0.8.

[0180] For example, a gender factor can be determined based on the gender of the target object. The embodiments do not limit the specific value of the gender factor. For example, the gender coefficient for males can be 0.9; the gender coefficient for females can be 1.1.

[0181] S620. Determine the baseline incremental temperature of the ambient temperature based on bedding coverage, body surface temperature, age factor, and gender factor.

[0182] The baseline enhanced temperature can be understood as the incremental temperature that needs to be adjusted based on factors such as bedding coverage, body surface temperature, age, and gender, in order to reduce the risk of the target subject catching a cold.

[0183] In some embodiments, the bedding coverage rate can be weighted using a fifth preset parameter to obtain a first compensation parameter; the body surface temperature can be weighted using a sixth preset parameter to obtain a second compensation parameter; the age factor can be weighted using a seventh preset parameter to obtain a second compensation parameter; and the gender factor can be weighted using an eighth preset parameter to obtain a fourth compensation parameter. The first compensation parameter, the second compensation parameter, the third compensation parameter, and the fourth compensation parameter are added together to obtain the baseline incremental temperature.

[0184] For example, the reference increment temperature AT of the ambient temperature can be determined using the following formula:

[0185] ΔT=α*S cover +β*T skin +γ*Ac+δ*G;

[0186] Where AT represents the reference incremental temperature; α represents the fifth preset parameter; S cover Indicates bedding coverage; β represents the sixth preset parameter; T skin γ represents body surface temperature; γ represents the seventh preset parameter; Ac represents the age factor; δ represents the eighth preset parameter; G represents the gender factor.

[0187] It should be noted that the unit of the reference incremental temperature ΔT is °C; the unit of body surface temperature is °C.

[0188] Among them, the fifth, sixth, seventh, and eighth preset parameters are dimensionless numbers, which can be set by technicians according to their needs or experience, or determined through a large number of experiments. This application does not impose any limitations on them. For example, the above-mentioned fifth, sixth, seventh, and eighth preset parameters can be determined by machine learning calibration. For example, the fifth preset parameter can be 0.4; the sixth preset parameter can be 0.3; the seventh preset parameter can be 0.2; and the eighth preset parameter can be 0.1.

[0189] In other embodiments, bedding coverage, body surface temperature, age, and gender can be input into the incremental temperature determination model to obtain a baseline incremental temperature. The incremental temperature determination model can be a traditional machine learning model or a neural network model; this embodiment does not impose any limitations on it.

[0190] In another embodiment, a temperature compensation mechanism based on real-time sensing can be established by quantitatively analyzing the heat exchange relationship between the target object, the target bedding, and the target environment. The output parameters of the air conditioner can be dynamically adjusted by calculating the change in thermal resistance of the covered object (such as the target bedding) in real time.

[0191] S630: Weight the reference incremental temperature using a preset gain coefficient to obtain the target incremental temperature.

[0192] The preset gain coefficient is used to correct the reference enhancement temperature.

[0193] For example, the preset gain coefficient can be an adaptive gain coefficient. Correspondingly, the preset gain coefficient can be determined based on the current sleep period. Optionally, if the current sleep period is a nighttime period, the preset gain coefficient can be 0.8; if the current sleep period is not a nighttime period, the preset gain coefficient can be 1. This embodiment does not limit the specific value of the preset gain coefficient.

[0194] S640. Add the target incremental temperature to the ambient temperature to obtain the target temperature.

[0195] For example, the target temperature can be determined using the following formula:

[0196] T set =T env +AT*K adapt ;

[0197] Among them, T set Indicates the target temperature; T env Indicates ambient temperature; AT indicates reference incremental temperature; K adaptThis represents the preset gain coefficient, also known as the adaptive gain coefficient.

[0198] In the above steps, the target object's body surface temperature, age factor, and gender factor are obtained, thus providing a data foundation for the baseline incremental temperature required for subsequent quantification. By determining the baseline incremental temperature of the ambient temperature based on bedding coverage, body surface temperature, age factor, and gender factor, and then weighting the baseline incremental temperature with a preset gain coefficient, the target incremental temperature is obtained. This allows for differentiated temperature adjustment for different target objects and different bedding coverage while the air conditioner is running, achieving precise temperature control that dynamically adapts to changes in bedding coverage, user age characteristics, and air conditioner operating status, thereby effectively reducing the risk of catching a cold during sleep due to insufficient bedding coverage.

[0199] Based on the above embodiments, some embodiments provide detailed descriptions of the steps for determining the target wind speed type.

[0200] The steps for determining the target wind speed type include at least one of the following:

[0201] When the operating status is standby, the risk level of catching a cold is the highest level, and the target age group is the first age group, the target wind speed type is determined to be the first wind speed type.

[0202] When the working status is standby, the risk level of catching a cold is the first risk level, and the target age group is the third age group, the target wind speed type is determined to be the second wind speed type.

[0203] When the working status is standby, the risk level of catching a cold is the second risk level, and the target age group is the first age group, the target wind speed type is determined to be the second wind speed type.

[0204] When the working status is standby, the risk level of catching a cold is the second risk level, and the target age group is the second age group, the target wind speed type is determined to be the third wind speed type.

[0205] When the working status is standby, the risk level of catching a cold is the second risk level, and the target age group is the third age group, the target wind speed type is determined to be the third wind speed type.

[0206] When the working status is in operation and the risk level of catching a cold is the first risk level, the target wind speed type is determined to be either the first wind speed type or the second wind speed type.

[0207] If the working status is "operating" and the risk level of catching a cold is "second risk level", then the target wind speed type is determined to be "third wind speed type".

[0208] For example, the air supply method corresponding to the target wind speed type can be determined to be: anti-direct-blow method, such as swing mode. Accordingly, the indoor and outdoor units can be controlled to adjust the ambient temperature of the target environment to the target temperature according to the target wind speed type and swing mode.

[0209] For example, the first wind speed type can be a low wind speed type, the second wind speed type can be a medium wind speed type, and the third wind speed type can be a high wind speed type. This embodiment does not limit the specific wind speed of the target wind speed type.

[0210] In the above steps, the target air speed type of the air conditioner is determined comprehensively based on different risk levels of catching a cold, target age groups, and work status. This ensures that the adjustment parameters meet the current environmental requirements and are adapted to user characteristics, achieving precise temperature control that dynamically adapts to changes in bedding coverage, user age characteristics, and air conditioner operating status, thereby effectively reducing the risk of catching a cold due to insufficient bedding coverage during sleep.

[0211] Based on the above embodiments, the air conditioner may also include a sleep monitoring module. (See reference...) Figure 7A The diagram shows the structure of the sleep protection module. The sleep protection module includes a perception layer 710, a data layer 720, a decision layer 730, and an execution layer 740.

[0212] in:

[0213] The perception layer 710 is used to collect point cloud data and ambient temperature of the target environment, as well as the target state and surface temperature of the target object.

[0214] Data layer 720 is used to extract and fuse features from point cloud data, ambient temperature and body surface temperature to obtain user feature vectors. User feature vectors can include information based on the risk level of catching a cold, target age group and work status.

[0215] The decision layer 730 is used to select the corresponding target control strategy from the preset control strategies based on the user feature vector.

[0216] The execution layer 740 is used to execute the target control strategy to control the control parameters of the air conditioner, such as mode, temperature, fan speed and air direction.

[0217] refer to Figure 7BThe diagram shows the workflow of the sleep monitoring module. The perception layer 710 can collect millimeter-wave radar point clouds via radar sensors and infrared temperature data via infrared array sensors. Infrared temperature data can include ambient temperature and body surface temperature. For example, the perception layer 710 can also acquire basic information such as the target object's age, gender, and current sleep status. The data layer fuses the data output by the perception layer 710 to obtain a user feature vector. The decision layer selects the appropriate target control strategy from preset control strategies based on the user feature vector. The execution layer 740 executes the target control strategy to control the air conditioner's mode, temperature, fan speed, and airflow direction.

[0218] refer to Figure 7C The diagram shows the startup flowchart of the sleep protection module. It determines whether to enable sleep protection mode. If sleep protection mode is enabled, the sleep protection function is activated, i.e., dynamic strategy generation is performed. Otherwise, the sleep protection function is not enabled, i.e., dynamic strategy generation is not performed. Of course, in some embodiments, to avoid triggering invalid sleep protection functions, the second sensing sensor can be controlled to identify the target state of the target object. If the target state is sleep, the sleep protection function is activated.

[0219] To facilitate understanding by those skilled in the art, the following is an exemplary description of a preset control strategy.

[0220] refer to Figure 7D The diagram shows a preset control strategy in standby mode, including control strategy X1 to control strategy X6.

[0221] For the basic risk level, which is relatively low, no intervention is required.

[0222] Specifically, for the first risk level: control strategy X1 is pre-set for the first age group, control strategy X2 is pre-set for the second age group, and control strategy X3 is pre-set for the third age group.

[0223] Specifically, for the second risk level, control strategy X4 is pre-set for the first age group, control strategy X5 is pre-set for the second age group, and control strategy X6 is pre-set for the third age group.

[0224] The following is an exemplary description of control strategies X1 through X6.

[0225] Control Strategy X1: Turn on the air conditioner; if the ambient temperature is lower than the first threshold temperature, activate the heating mode and set the target temperature as the first target temperature. If the first target temperature is higher than the first threshold temperature, activate low-speed fan swing to avoid direct airflow, and adjust the airflow direction to reflect air from the ceiling; interactive reminder: prompt "Little friend, remember to cover yourself with the blanket" via cartoon voice; simultaneously push "Children's Sleep Temperature Difference Warning" to the parent's app. For example, the first threshold temperature can be 18℃ or 20℃, and the first target temperature can be 22.5℃. Alternatively, the air conditioner can be controlled to switch to AI mode to achieve adaptive temperature control.

[0226] Control Strategy X2: Push vibration alerts to the user's smartwatch. Optionally, the alert message may include "It is recommended to add a light blanket; the air conditioner will switch to low fan speed mode." Correspondingly, the air conditioner can be controlled to adjust to low fan speed mode.

[0227] Control Strategy X3: Turn on the air conditioner; if the ambient temperature is lower than the first threshold temperature, turn on the heating mode and set the target temperature as the first target temperature. If the first target temperature is higher than the first threshold temperature, start the medium fan speed swing; simultaneously send a text message to the children's mobile phones saying "There is a risk of low temperature in the area where the elderly are located".

[0228] Control Strategy X4: When the ambient temperature is lower than the second threshold temperature, turn on the heating mode and set the target temperature as the second target temperature; when the second target temperature is higher than the second threshold temperature, the second target temperature is higher than the first target temperature; the fan speed is set to medium and the fan direction is set to prevent direct airflow.

[0229] Optionally, it can be linked with the smart mattress. If a child is detected lying in bed, the mattress heating will be automatically turned on to 32℃ (duration ≤20 minutes).

[0230] Optionally, when the ambient temperature is within the first temperature range, the indoor unit is controlled to be in air supply mode, and the target temperature is set to the first preset temperature; for example, the first temperature range is 20℃-25℃, and the first preset temperature is 25℃.

[0231] Optionally, when the ambient temperature is within the second temperature range, the indoor unit is controlled to enter dehumidification mode, the target temperature is set to the second preset temperature, and the target humidity is set to 50%. For example, the second temperature range can be 25℃-26℃, and the second preset temperature can be 27℃.

[0232] Understandably, by controlling the indoor unit to operate in air-blowing mode when the ambient temperature is within a first temperature range, and in dehumidifying mode when the ambient temperature is within a second temperature range, the current season can be determined. For example, if the ambient temperature is high, it is usually summer. In this case, by activating the dehumidifying mode, the humidity of the current environment can be reduced, improving the comfort of the target user.

[0233] Control Strategy X5:

[0234] In the first stage, the system uses a smart speaker to play progressive ambient sounds (such as rain sounds) to wake the user up.

[0235] In the second stage, if there is no response after 5 minutes, and the ambient temperature is lower than the second threshold temperature, the heating mode will be activated and the target temperature will be set to the second target temperature. The fan speed will be set to high, and the airflow direction will be set to avoid direct airflow.

[0236] Optionally, when the ambient temperature is within the first temperature range, the indoor unit is controlled to be in air supply mode, and the target temperature is set to the first preset temperature; for example, the first temperature range is 20℃-25℃, and the first preset temperature is 25℃.

[0237] Optionally, when the ambient temperature is within the second temperature range, the indoor unit is controlled to enter dehumidification mode, the target temperature is set to the second preset temperature, and the target humidity is set to 50%. For example, the second temperature range can be 25℃-26℃, and the second preset temperature can be 27℃.

[0238] Control Strategy X6: When the ambient temperature is below the second threshold temperature, activate the heating mode and set the target temperature to the second target temperature. Set the fan speed to high and the airflow direction to avoid direct airflow. Emergency Call: Send a text message to the child's mobile phone stating "There is a risk of low temperatures in the area where the elderly person is located," and retain the one-touch call button.

[0239] Optionally, when the ambient temperature is within the first temperature range, the indoor unit is controlled to be in air supply mode, and the target temperature is set to the first preset temperature; for example, the first temperature range is 20℃-25℃, and the first preset temperature is 25℃.

[0240] Optionally, when the ambient temperature is within the second temperature range, the indoor unit is controlled to enter dehumidification mode, the target temperature is set to the second preset temperature, and the target humidity is set to 50%. For example, the second temperature range can be 25℃-26℃, and the second preset temperature can be 27℃.

[0241] refer to Figure 7E The diagram shows a preset control strategy in operation, including control strategy X7 to control strategy X8.

[0242] Specifically, for the basic risk level, which is relatively low, no intervention is required; for the first risk level, control strategy X7 is set accordingly; and for the second risk level, control strategy X8 is set accordingly.

[0243] Control Strategy X7: Maintain the current mode, target temperature is T. set Low-speed airflow to avoid direct airflow. The target temperature T... set As explained above, it will not be repeated here.

[0244] Control strategy X8: Maintain the current mode, target temperature is T. set High-speed air sweeping should be used to avoid direct airflow. The target temperature T... set As explained above, it will not be repeated here.

[0245] Based on the above embodiments, the control method of the air conditioner will be described in detail.

[0246] refer to Figure 8 The following are control methods for an air conditioner in some other embodiments, including the following steps:

[0247] S801. When the sleep protection mode is enabled and the target object in the target environment is in a sleeping state, extract the body surface area of ​​the target object and the bedding coverage area of ​​the target object on the body surface area from the environmental data of the target environment.

[0248] S802. The percentage of the area covered by bedding on the body surface is taken as the bedding coverage rate for the target object.

[0249] S803. Determine the temperature difference between body surface temperature and ambient temperature;

[0250] S804. Obtain the target object's age factor and the time period factor corresponding to the current sleep period;

[0251] S805. Determine the risk index of catching a cold for the target group based on temperature difference, bedding coverage, age factor, and time factor.

[0252] S806. Determine the cold risk level to which the cold risk index belongs according to the preset matching conditions.

[0253] S807. Obtain the target age group of the target object and the working status of the indoor unit; the working status includes standby status and running status;

[0254] S808, Obtain wind speed type matching relationship;

[0255] S809. Query the target wind speed type that matches the risk level of catching a cold, the target age group, and the work status from the wind speed type matching relationship.

[0256] S810. When the working state is in standby mode, obtain the target temperature matching relationship; query the target temperature that matches the cold risk level and target age group from the target temperature matching relationship.

[0257] S811. When the working state is running, determine the target incremental temperature relative to the ambient temperature; add the target incremental temperature to the ambient temperature to obtain the target temperature.

[0258] S812 controls the indoor and outdoor units to adjust the ambient temperature of the target environment to the target temperature according to the target wind speed type.

[0259] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0260] Based on the same inventive concept, this application also provides a control device for an air conditioner that implements the control method for the air conditioner described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more air conditioner control device embodiments provided below can be found in the limitations of the air conditioner control method described above, and will not be repeated here.

[0261] In one exemplary embodiment, such as Figure 9 As shown, a control device for an air conditioner is provided, comprising: an extraction module 910, a processing module 920, a first determination module 930, a first acquisition module 940, a second determination module 950, and a control module 960, wherein:

[0262] The extraction module 910 is used to extract the body surface area of ​​the target object and the bedding coverage area of ​​the target object on the body surface area from the environmental data of the target environment when the sleep protection mode is enabled and the target object in the target environment is in a sleeping state.

[0263] Processing module 920 is used to determine the percentage of the area covered by bedding on the body surface as the bedding coverage rate for the target object.

[0264] The first determination module 930 is used to determine the risk level of catching a cold for the target object based on the bedding coverage rate;

[0265] The first acquisition module 940 is used to acquire the target age group of the target object and the working status of the indoor unit; the working status includes standby status and running status.

[0266] The second determining module 950 is used to determine the target temperature and target wind speed type of the air conditioner based on the risk level of catching a cold, the target age group, and the working status.

[0267] The control module 960 is used to control the indoor and outdoor units and adjust the ambient temperature of the target environment to the target temperature according to the target wind speed type.

[0268] In one embodiment, the air conditioner further includes a second temperature sensor configured to collect the body surface temperature of the target object. Correspondingly, the first determining module 930 includes: a first determining unit for determining the temperature difference between the body surface temperature and the ambient temperature; a first acquiring unit for acquiring the target object's age factor and the time period factor corresponding to the current sleep period; a second determining unit for determining the target object's cold risk index based on the temperature difference, bedding coverage, age factor, and time period factor; and a third determining unit for determining the cold risk level to which the cold risk index belongs according to preset matching conditions.

[0269] In one embodiment, the second determining unit includes: a first processing subunit, used to weight the temperature difference value with a first preset parameter to obtain a temperature difference risk index; a first determining subunit, used to determine the blanket uncovering rate based on the blanket coverage rate; a second processing subunit, used to weight the blanket uncovering rate with a second preset parameter to obtain an exposure risk index; a third processing subunit, used to weight the age factor with a third preset parameter to obtain an age risk index; a fourth processing subunit, used to weight the time period factor with a fourth preset parameter to obtain a time period risk index; and a fifth processing subunit, used to add the temperature difference risk index, the exposure risk index, the age risk index, and the time period risk index to obtain a cold-catching risk index.

[0270] In one embodiment, the second determining module 950 includes a first query unit or a fourth determining unit. The first query unit is configured to, when in standby mode, acquire a target temperature matching relationship; and query the target temperature matching the cold risk level and target age group from the target temperature matching relationship. The fourth determining unit is configured to, when in running mode, determine the target incremental temperature for the ambient temperature; and add the target incremental temperature to the ambient temperature to obtain the target temperature.

[0271] In one embodiment, the target age group includes a first age group, a second age group, and a third age group divided in ascending order of age; the risk level of catching a cold includes a first risk level and a second risk level, wherein the risk index of catching a cold corresponding to the second risk level is greater than the risk index of catching a cold corresponding to the first risk level; correspondingly, the first query unit includes: a second determining subunit used to determine the target temperature as a first target temperature when the risk level of catching a cold is the first risk level, the target age group is the first age group or the third age group, and the ambient temperature is less than a first threshold temperature; the first target temperature is greater than the first threshold temperature; a third determining subunit used to determine the target temperature as a second target temperature when the risk level of catching a cold is the second risk level and the ambient temperature is less than the second threshold temperature; the second target temperature is greater than the second threshold temperature, and the second target temperature is greater than the first target temperature.

[0272] In one embodiment, the fourth determining unit includes: a first acquiring subunit, used to acquire the target object's body surface temperature, age factor, and gender factor; a fourth determining subunit, used to determine a baseline incremental temperature of the ambient temperature based on the bedding coverage, body surface temperature, age factor, and gender factor; and a sixth processing subunit, used to weight the baseline incremental temperature with a preset gain coefficient to obtain the target incremental temperature.

[0273] In one embodiment, the fourth determining subunit is further configured to weight the bedding coverage rate with a fifth preset parameter to obtain a first compensation parameter; weight the body surface temperature with a sixth preset parameter to obtain a second compensation parameter; weight the age factor with a seventh preset parameter to obtain a second compensation parameter; weight the gender factor with an eighth preset parameter to obtain a fourth compensation parameter; and add the first compensation parameter, the second compensation parameter, the third compensation parameter, and the fourth compensation parameter together to obtain a reference incremental temperature.

[0274] In one embodiment, the second determining module 950 includes: a second acquiring unit for acquiring wind speed type matching relationships; and a second querying unit for querying target wind speed types that match the risk level of catching a cold, the target age group, and the work status from the wind speed type matching relationships.

[0275] In one embodiment, the second query unit includes: a fifth determining subunit, configured to determine the target wind speed type as a first wind speed type when the operating state is standby, the risk level of catching a cold is a first risk level, and the target age group is a first age group; a sixth determining subunit, configured to determine the target wind speed type as a second wind speed type when the working state is standby, the risk level of catching a cold is a first risk level, and the target age group is a third age group; a seventh determining subunit, configured to determine the target wind speed type as a second wind speed type when the working state is standby, the risk level of catching a cold is a second risk level, and the target age group is a first age group; and an eighth determining subunit, configured to determine the target wind speed type as a second wind speed type when the working state is standby. The ninth determining subunit is used to determine the target wind speed type as the third wind speed type when the working status is standby, the cold risk level is the second risk level, and the target age group is the third age group; the tenth determining subunit is used to determine the target wind speed type as the first wind speed type or the second wind speed type when the working status is in operation and the cold risk level is the first risk level; the eleventh determining subunit is used to determine the target wind speed type as the third wind speed type when the working status is in operation and the cold risk level is the second risk level.

[0276] In one embodiment, the device further includes: a first sending module, configured to send a first prompt message to the terminal device corresponding to the target object when the working state is in standby mode and the target age group is a first age group or a third age group; and a second sending module, configured to send a second prompt message to the terminal device corresponding to the target object when the working state is in standby mode, the risk level of catching a cold is a first risk level, and the target age group is a second age group.

[0277] The various modules in the control device of the aforementioned air conditioner can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0278] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 10As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for controlling an air conditioner. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0279] Those skilled in the art will understand that Figure 10 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0280] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0281] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0282] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0283] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0284] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0285] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0286] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. An air conditioner, characterized in that, include: Indoor unit and outdoor unit; The first sensing sensor is configured to collect environmental data of the target environment; The target environment includes the target object and the target bedding covering the target object; A second sensing sensor is configured to identify the target state of the target object; The target state includes a sleep state; a first temperature sensor is configured to collect the ambient temperature of the target environment; The controller, connected to the first sensing sensor, the second sensing sensor, and the first temperature sensor, is configured to: When the sleep protection mode is enabled and the target object is in the sleep state, the body surface area of ​​the target object and the area covered by the bedding on the body surface area are extracted from the environmental data. The percentage of the area covered by the bedding on the body surface is taken as the bedding coverage rate for the target object. Based on the bedding coverage rate, determine the target object's risk level of catching a cold; The target age group of the target object and the working status of the indoor unit are obtained; the working status includes standby status and running status. Based on the risk level of catching a cold, the target age group, and the working status, the target temperature and target wind speed type of the air conditioner are determined; Control the indoor unit and the outdoor unit to adjust the ambient temperature to the target temperature according to the target wind speed type.

2. The air conditioner according to claim 1, characterized in that, The air conditioner also includes a second temperature sensor configured to collect the body surface temperature of the target object; the controller, when performing the step of determining the cold risk level of the target object based on the bedding coverage rate, is configured to: Determine the temperature difference between the body surface temperature and the ambient temperature; Obtain the age factor and the time period factor corresponding to the current sleep period of the target object; The risk index of catching a cold for the target object is determined based on the temperature difference, the bedding coverage rate, the age factor, and the time period factor. According to preset matching conditions, the cold risk level to which the cold risk index belongs is determined.

3. The air conditioner according to claim 2, characterized in that, When the controller performs the task of determining the cold risk index of the target object based on the temperature difference, the bedding coverage, the age factor, and the time factor, it is configured to: The temperature difference value is weighted using a first preset parameter to obtain a temperature difference risk index; Based on the bedding coverage rate, determine the bedding uncovering rate; Using the second preset parameter, the rate of uncovered bedding is weighted to obtain the exposure risk index; The age factor is weighted using a third preset parameter to obtain an age risk index; The time period factor is weighted using the fourth preset parameter to obtain the time period risk index; The risk index of catching a cold is obtained by adding the temperature difference risk index, exposure risk index, age risk index and time period risk index.

4. The air conditioner according to any one of claims 1-3, characterized in that, When the controller determines the target temperature of the air conditioner based on the cold risk level, the target age group, and the operating status, it is configured to perform at least one of the following: When the working state is in standby mode, obtain the target temperature matching relationship; query the target temperature that matches the cold risk level and the target age group from the target temperature matching relationship; When the working state is in the running state, a target incremental temperature is determined for the ambient temperature; the target incremental temperature is added to the ambient temperature to obtain the target temperature.

5. The air conditioner according to claim 4, characterized in that, The target age group includes a first age group, a second age group, and a third age group divided in ascending order of age; the cold risk level includes a first risk level and a second risk level, wherein the cold risk index corresponding to the second risk level is greater than the cold risk index corresponding to the first risk level; correspondingly, when the controller performs the query for the target temperature matching the target temperature from the target temperature matching relationship that matches the cold risk level and the target age group, it is configured to at least one of the following: If the risk level of catching a cold is the first risk level, the target age group is the first age group or the third age group, and the ambient temperature is less than the first threshold temperature, then the target temperature is determined to be the first target temperature. The first target temperature is greater than the first threshold temperature; If the risk level of catching a cold is the second risk level and the ambient temperature is less than the second threshold temperature, the target temperature is determined as the second target temperature. The second target temperature is greater than the second threshold temperature, and the second target temperature is greater than the first target temperature.

6. The air conditioner according to claim 4, characterized in that, The air conditioner further includes a second temperature sensor configured to acquire the body surface temperature of the target object; the controller, when performing the determination of the target incremental temperature for the ambient temperature, is configured to: Obtain the target object's body surface temperature, age factor, and gender factor; The baseline incremental temperature of the ambient temperature is determined based on the bedding coverage rate, the body surface temperature, the age factor, and the gender factor. The target incremental temperature is obtained by weighting the reference incremental temperature with a preset gain coefficient.

7. The air conditioner according to claim 6, characterized in that, When the controller performs the process of determining the baseline incremental temperature of the ambient temperature based on the bedding coverage, body surface temperature, age factor, and gender factor, it is configured to: The bedding coverage rate is weighted using the fifth preset parameter to obtain the first compensation parameter; The body surface temperature is weighted using the sixth preset parameter to obtain the second compensation parameter; The age factor is weighted using the seventh preset parameter to obtain the second compensation parameter; The gender factor is weighted using the eighth preset parameter to obtain the fourth compensation parameter; The first compensation parameter, the second compensation parameter, the third compensation parameter, and the fourth compensation parameter are added together to obtain the reference incremental temperature.

8. The air conditioner according to any one of claims 1-3, characterized in that, When the controller determines the target fan speed type of the air conditioner based on the cold risk level, the target age group, and the operating status, it is configured to: Obtain wind speed type matching relationships; Query the target wind speed type that matches the risk level of catching a cold, the target age group, and the work status from the wind speed type matching relationship.

9. The air conditioner according to claim 8, characterized in that, The target wind speed type includes a first wind speed type, a second wind speed type, and a third wind speed type, which are divided in order of increasing output wind speed; the target age group includes a first age group, a second age group, and a third age group, which are divided in order of increasing age. The risk level of catching a cold includes a first risk level and a second risk level, wherein the risk index of catching a cold corresponding to the second risk level is greater than the risk index of catching a cold corresponding to the first risk level; accordingly, when the controller queries the wind speed type matching relationship for a target wind speed type that matches the risk level of catching a cold, the target age group, and the working status, it is configured to at least one of the following: When the operating state is standby, the risk level of catching a cold is the first risk level, and the target age group is the first age group, the target wind speed type is determined to be the first wind speed type; When the working state is standby, the risk level of catching a cold is the first risk level, and the target age group is the third age group, the target wind speed type is determined to be the second wind speed type. When the working state is standby, the risk level of catching a cold is the second risk level, and the target age group is the first age group, the target wind speed type is determined to be the second wind speed type. When the working state is standby, the risk level of catching a cold is the second risk level, and the target age group is the second age group, the target wind speed type is determined to be the third wind speed type. When the working state is standby, the risk level of catching a cold is the second risk level, and the target age group is the third age group, the target wind speed type is determined to be the third wind speed type. When the working state is in operation and the risk level of catching a cold is the first risk level, the target wind speed type is determined to be either the first wind speed type or the second wind speed type. If the working state is in operation and the risk level of catching a cold is the second risk level, then the target wind speed type is determined to be the third wind speed type.

10. A control method for an air conditioner, characterized in that, include: When the sleep protection mode is enabled and the target object in the target environment is asleep, the body surface area of ​​the target object and the area covered by the target bedding on the target object are extracted from the environmental data of the target environment. The percentage of the area covered by the bedding on the body surface is taken as the bedding coverage rate for the target object. Based on the bedding coverage rate, determine the target object's risk level of catching a cold; The target age group of the target object and the working status of the indoor unit are obtained; the working status includes standby status and running status. Based on the risk level of catching a cold, the target age group, and the working status, the target temperature and target wind speed type of the air conditioner are determined; Control the indoor and outdoor units to adjust the ambient temperature of the target environment to the target temperature according to the target wind speed type.

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