Method and device for controlling air conditioner, air conditioner, and storage medium

Abstract

This application relates to the technical field of air conditioners and discloses a method for controlling an air conditioner, comprising obtaining the current sleep state of a user associated with the air conditioner during a sleep phase; if the current sleep state indicates that the user has entered a sleep phase, controlling a fan to operate at a preset wind speed and obtaining a current comfort value of an SPMV model associated with the user; and adjusting environmental parameters of an environment associated with the user based on a match between the current comfort value and a preset comfort value. This method enables the environment controlled by the air conditioner to meet the user's comfort requirements during the sleep phase. This application also discloses a device for controlling an air conditioner, an air conditioner, and a storage medium.

Description

Technical Field

[0001] The present application relates to the technical field of air conditioners, for example, to a control method and device for an air conditioner, an air conditioner, and a storage medium. Background Art

[0002] Currently, users can get enough rest during sleep, and the quality of sleep will have a significant impact on their subsequent work and health. While sleeping, users will be disturbed by the external environment, such as ambient temperature and humidity, ambient light brightness, and noise.

[0003] Air conditioners have a sleep mode to accommodate users' sleep needs. When operating in sleep mode, the air conditioner's operating parameters are relatively fixed. However, users' comfort requirements for their surroundings differ during the pre-sleep phase and the post-sleep phase. Therefore, a single sleep mode for an air conditioner may not be able to meet users' needs during sleep.

[0004] During the implementation of the embodiments of the present disclosure, it was found that at least the following problems exist in the related art:

[0005] When the user is falling asleep, the sleep mode set by the air conditioner cannot meet the user's comfort needs during the sleeping stage. Summary of the Invention

[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not intended to be an extensive review, nor to identify key / critical elements or to delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0007] The embodiments of the present disclosure provide a control method, device, air conditioner and storage medium for an air conditioner, so that the environment regulated by the air conditioner can meet the comfort requirements of the user during the sleeping stage.

[0008] In some embodiments, the method includes: obtaining the current sleeping state of the user associated with the air conditioner during the sleeping stage; when the current sleeping state indicates that the user has entered the sleeping stage, controlling the fan to run at a preset wind speed and obtaining the current comfort value of the SPMV model associated with the user; and adjusting the environmental parameters of the environment associated with the user based on the matching between the current comfort and the preset comfort.

[0009] In some embodiments, the device includes: a processor and a memory storing program instructions, wherein the processor is configured to execute the aforementioned method for controlling an air conditioner when running the program instructions.

[0010] In some embodiments, the air conditioner includes the device for controlling the air conditioner as described above.

[0011] In some embodiments, the storage medium stores program instructions, and when the program instructions are run, they execute the method for controlling the air conditioner in some embodiments.

[0012] The control method, device, air conditioner, and storage medium for an air conditioner provided by the embodiments of the present disclosure can achieve the following technical effects:

[0013] To prevent indoor noise from affecting the user's sleep, the air conditioner controls the fan to run at a preset speed. Furthermore, once the user enters the sleep phase, the SPMV model outputs the user's current comfort level. Based on the match between this comfort level and the preset comfort level, the air conditioner adjusts the user's ambient parameters in real time, enabling real-time control of the user's environment based on their comfort needs during sleep. In summary, this method ensures that the air conditioner-controlled environment meets the user's comfort needs during sleep.

[0014] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] One or more embodiments are exemplarily described by corresponding drawings. These exemplary descriptions and drawings do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation. In addition,

[0016] Figure 1 is a schematic diagram of a method for controlling an air conditioner provided by an embodiment of the present disclosure;

[0017] Figure 2 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

[0018] Figure 3 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

[0019] Figure 4 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

[0020] Figure 5 is a schematic diagram of a method for constructing a thermal comfort model provided by an embodiment of the present disclosure;

[0021] Figure 6 is a schematic diagram of a method for determining a human metabolic rate of a user in a sleeping state provided by an embodiment of the present disclosure;

[0022] Figure 7 is a schematic diagram of a method for determining a clothing surface coefficient provided by an embodiment of the present disclosure;

[0023] Figure 8 Schematic diagram of a device for controlling an air conditioner provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0024] In order to be able to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The accompanying drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0025] In the description and claims of the embodiments of the present disclosure, as well as in the accompanying drawings, the terms "first," "second," and the like are used to distinguish similar items and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate to describe the embodiments of the present disclosure herein. In addition, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions.

[0026] Unless otherwise stated, the term "plurality" means two or more.

[0027] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0028] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0029] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0030] In the embodiments of the present disclosure, smart home appliances refer to home appliance products that are formed by introducing microprocessors, sensor technology, and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent perception, and intelligent application. The operation process of smart home appliances often relies on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. For example, smart home appliances can realize remote control and management of smart home appliances by users by connecting to electronic devices.

[0031] In the disclosed embodiments, a terminal device refers to an electronic device with a wireless connection function. The terminal device can communicate with the above-mentioned smart home appliances by connecting to the Internet, or can communicate with the above-mentioned smart home appliances directly through Bluetooth, WiFi, etc. In some embodiments, the terminal device is, for example, a mobile device, a computer, or a vehicle-mounted device built into a hover car, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, etc., or any combination thereof, wherein wearable devices include, for example, smart watches, smart bracelets, pedometers, etc.

[0032] Combine Figure 1 The present disclosure provides a method for controlling an air conditioner, comprising:

[0033] S01: The air conditioner obtains the current sleeping state of the user associated with the air conditioner in the sleeping stage.

[0034] In this step, the air conditioner can obtain the current sleeping state of the user during the falling asleep stage through a sleep monitoring device that is communicatively connected to the air conditioner. As an example, the sleep monitoring device is a sleep pillow, which detects the intensity of the user's movements during the falling asleep stage and determines the user's current sleeping state based on the intensity of the movements. As an example, the sleep monitoring device is a smart watch, and the smart watch is worn on the user's wrist. The smart watch is equipped with a gyroscope sensor and a heart rate sensor. The gyroscope sensor is used to detect the amplitude and frequency of wrist movements, and the heart rate sensor is used to detect the user's heart rate value. The smart watch obtains the amplitude and frequency of wrist movements and the heart rate value, and performs analysis and processing to generate the user's current sleeping state. The disclosed embodiments do not specifically limit the manner in which the air conditioner obtains the user's current sleeping state during the falling asleep stage.

[0035] S02 : When the current sleeping state indicates that the user has entered the sleeping stage, the air conditioner controls the fan to operate at a preset wind speed and obtains a current comfort value of the SPMV model associated with the user.

[0036] S03, the air conditioner adjusts the environmental parameters of the environment associated with the user according to the matching between the current comfort level and the preset comfort level.

[0037] By using the method for an air conditioner provided by an embodiment of the present disclosure, after a user enters the sleeping stage, he or she will be affected by the indoor noise of the user's environment. When the indoor noise is loud, the user will easily switch from sleeping to awake. In order to prevent the indoor noise of the user's environment from affecting the user's sleep, the air conditioner controls the fan to run at a preset wind speed. At the same time, after the user enters the sleeping stage, the user's current comfort value can be obtained through the output of the SPMV model. The air conditioner adjusts the environmental parameters of the user's environment based on the matching between the current comfort value and the preset comfort value, so that the air conditioner can perform real-time regulation of the user's environment based on the user's comfort requirements during the sleeping stage. In summary, this method enables the environment regulated by the air conditioner to meet the user's comfort requirements during the sleeping stage.

[0038] Specifically, the preset wind speed may be the minimum wind speed of the fan, or a wind speed value preset by the user. As an example, the preset wind speed is the minimum wind speed of the fan, 0.1 m / s.

[0039] Optional, combined Figure 2 As shown, the air conditioner adjusts the environmental parameters of the user's environment based on the matching between the current comfort level and the preset comfort level, including:

[0040] S11 , when the current comfort value is greater than the upper comfort threshold, the air conditioner lowers the indoor temperature value of the environment.

[0041] S12: When the current comfort value is less than the lower comfort threshold, the air conditioner increases the indoor temperature of the environment.

[0042] Among them, the upper and lower comfort thresholds can be set according to the comfort requirements of the user during the sleeping stage. For example, the upper comfort threshold is 0.3, and the lower comfort threshold is -0.3. Or, the lower comfort threshold is -0.5, and the upper comfort threshold is 0.5. In addition, when the output of the SPMV model is higher than the upper comfort threshold, it indicates that the user has a sense of heat. The greater the difference between the output of the SPMV model and the upper comfort threshold, the stronger the user's sense of heat. When the output of the SPMV model is lower than the lower comfort threshold, it indicates that the user has a sense of cold. The greater the absolute value of the difference between the output of the SPMV model and the lower comfort threshold, the stronger the user's sense of cold.

[0043] Experiments have shown that, when wind speed and relative humidity remain constant, the change in the SPMV model output is positively correlated with the change in indoor temperature. Therefore, when the current comfort level is greater than the upper comfort threshold, the air conditioner lowers the indoor temperature to reduce the SPMV model output. When the current comfort level is less than the lower comfort threshold, the air conditioner raises the indoor temperature to keep the current comfort level within the preset range, meeting the user's comfort needs during sleep. The preset range is [lower comfort threshold, upper comfort threshold].

[0044] Optional, combined Figure 3 As shown, the air conditioner lowers / raises the indoor temperature value of the environment, including:

[0045] S21: The air conditioner obtains the difference between the current comfort value and the target comfort value.

[0046] In this step, the target comfort value can be any value within a preset range, or it can be a value that meets the user's optimal comfort level. As an example, if the upper comfort threshold is 0.3 and the lower comfort threshold is -0.3, the target comfort value can be the average of the upper and lower comfort thresholds, 0. As another example, the user can set a value close to the upper comfort threshold as 0.2 as the target comfort value. It is understood that since users' comfort requirements vary, the optimal comfort value can be set based on the user's comfort needs during the sleep phase.

[0047] S22: The air conditioner determines a target temperature change corresponding to the difference based on the correspondence between the indoor temperature change and the comfort value change.

[0048] In this step, the corresponding relationship between the change in indoor temperature and the change in comfort value is that when the indoor temperature is 1° C., the change in comfort value is 0.55.

[0049] S23, the air conditioner adjusts the indoor temperature value according to the target temperature change.

[0050] Experiments have shown that, with constant wind speed and relative humidity, a 1°C increase in indoor temperature results in an increase of approximately 0.5-0.6 in the SPMV model output. A 1°C decrease in indoor temperature results in a decrease of approximately 0.5-0.6 in the SPMV model output. Based on this experimental data, the air conditioner can determine the difference between the current comfort level and the target comfort level. Based on this correspondence, it determines the target temperature change and adjusts the indoor temperature accordingly. This ensures that the resulting controlled environment meets the user's comfort needs during sleep.

[0051] In practice, the relationship between the change in indoor temperature and the change in comfort value is that when the indoor temperature is 1°C, the change in comfort value is 0.55 to 0.6, and the indoor temperature and comfort value are positively correlated. The current comfort value is 1.05, and the preset range is [-0.5, 0.5]. Because the current comfort value is greater than the upper comfort threshold and the deviation is 0.55, based on this relationship, the air conditioner lowers the indoor temperature by 1°C. After half an hour, the new SPMV model output is obtained. At this time, the new SPMV model output is 0.47, indicating that the new current comfort value is within the preset range, thus meeting the user's comfort needs during sleep.

[0052] Optional, combined Figure 4 As shown, the air conditioner adjusts the environmental parameters of the user's environment based on the matching between the current comfort level and the preset comfort level, including:

[0053] S31: When the current comfort value is greater than the upper comfort threshold, the air conditioner lowers the indoor temperature of the environment.

[0054] S32: When the current comfort level is less than the lower comfort level threshold, the air conditioner increases the indoor temperature of the environment.

[0055] S33, the air conditioner controls the relative humidity of the environment to be within a preset relative humidity range.

[0056] In this way, high or low relative humidity in the environment will cause discomfort to the user. To ensure that the relative humidity of the environment meets the user's comfort requirements, the air conditioner controls the relative humidity of the environment to a preset relative humidity range. The preset relative humidity range is [50% RH, 65% RH].

[0057] It should be noted that the step of controlling the relative humidity of the environment by the air conditioner to be within a preset relative humidity range can be performed simultaneously with or before the air conditioner lowers / raises the indoor temperature of the environment. The present disclosure does not specifically limit the order in which the aforementioned steps are performed.

[0058] Optionally, Figure 5 This is a schematic diagram of a method for constructing a thermal comfort model provided by an embodiment of the present disclosure; Figure 5 As shown, the air conditioner determines the SPMV model in the following way:

[0059] S41, the air conditioner determines the human metabolic rate and the surface coefficient of the clothing of the user in the sleeping state.

[0060] S42, the air conditioner establishes a PMV (Predicted Mean Vote) model based on the metabolic rate of the human body in the sleeping state and the surface coefficient of the clothing.

[0061] S43: The air conditioner calculates a first correction value for correcting the PMV model.

[0062] S44: The air conditioner constructs an SPMV model based on the PMV model and the first correction value.

[0063] In this solution, the "sleep stage" refers to the stage corresponding to the wakefulness period before entering the sleep stage. The "sleep state" refers to the state of the user during the "sleep stage." Experiments have shown that the SPMV model corresponding to the sleep state is universal and can be used to determine both the comfort level of the "sleep stage" and the comfort level of the "sleep stage." It is understandable that the user's metabolic rate during the sleep state is different from the user's metabolic rate during the wakefulness period. Therefore, the air conditioner can determine the user's metabolic rate during the sleep state by obtaining the user's average basal metabolic rate during the wakefulness period before entering the sleep stage and a second correction factor used to correct the metabolic rate model. Furthermore, the air conditioner can also determine the surface coefficient of the clothing by obtaining the thermal resistance of the clothing. Since the thermal resistance of the clothing varies in different seasons, the heat dissipation area of ​​the clothing also varies accordingly. Furthermore, after the air conditioner determines the user's metabolic rate and surface coefficient during the "sleep state," the PMV model can be constructed by combining the metabolic rate and surface coefficient during the "sleep state" to characterize the user's thermal comfort during sleep at night. Furthermore, to construct an SPMV model that more accurately represents the user's thermal comfort during sleep, a first correction factor is calculated for correcting the PMV model. This first correction factor is a temperature correction factor, which the air conditioner uses to correct fluctuations in the PMV model caused by changes in ambient temperature. Once the air conditioner calculates the first correction factor for correcting the PMV model, it can combine the PMV model and the first correction factor to construct an SPMV model that more accurately represents the user's thermal comfort during sleep.

[0064] In this way, after determining the user's sleeping metabolic rate and clothing surface coefficient, a PMV model is established based on these two factors. The PMV model is then corrected using the calculated first correction value to produce an SPMV model that reflects the user's thermal comfort during nighttime sleep. This solution overcomes the drawback of existing PMV models, which fail to characterize the user's thermal comfort during nighttime sleep. It improves the accuracy of thermal comfort assessments during sleep, provides an accurate data basis for air conditioner control while the user is asleep, and satisfies the user's thermal comfort needs.

[0065] Optionally, the air conditioner constructs an SPMV model based on the PMV model and the first correction value, including:

[0066] SPMV=PMV+b(t)

[0067] Wherein, b(t) is the first correction value.

[0068] In this solution, the air conditioner can combine the PMV model and the first correction value to construct an SPMV model. Among them, b(t) is the first correction value, which is the temperature correction value. The first correction value is used to correct the fluctuation of the PMV model caused by changes in ambient temperature. The SPMV model includes:

[0069]

[0070] Among them, M, I cl , W represent metabolic rate, clothing thermal resistance and external mechanical work respectively, and external mechanical work is 0. a , v, H, tr represent the ambient temperature, wind speed, relative humidity and mean radiation temperature respectively, and the mean radiation temperature tr is related to the ambient temperature t a The values ​​are equal. a 、f cl 、h c , t cl They represent water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient and clothing outer surface temperature respectively.

[0071] The SPMV model, which comprehensively considers human parameters, environmental factors, and other related factors, can more accurately construct a thermal comfort model related to the user's sleep. Compared with the PMV model used in related technologies, it can accurately reflect the user's actual comfort during sleep. Human parameters include metabolic rate, clothing thermal resistance, and external mechanical work. Environmental factors include ambient temperature, wind speed, relative humidity, and mean radiant temperature. Other related factors include water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient, and clothing outer surface temperature.

[0072] Optionally, the air conditioner calculates a first correction value for correcting the PMV model, including:

[0073] b(t)=at-c

[0074] Wherein, b(t) is the first correction value, a is the first proportional coefficient, t is the indoor temperature, and c is the first correction constant.

[0075] In this solution, multiple experimental data can be fitted to obtain a calculation formula for the first correction amount after fitting. Here, the calculation formula for the first correction amount after fitting has good linear correlation. As an example, in the goodness of fit R 2 When the first correction constant is 0.88, the first proportional coefficient a is 0.2294, and the first correction constant c is 6.4026. Therefore, the calculation formula for the first correction value is b(t) = 0.2294t - 6.4026. This shows that the first correction value is closely related to the change in indoor temperature. This solution can obtain a more accurate first correction value, providing an accurate data foundation for the construction of the SPMV model.

[0076] Figure 6 This is a schematic diagram of a method for determining a user's human metabolic rate in a sleeping state provided by an embodiment of the present disclosure; Figure 6 As shown, optionally, the air conditioner determines the human metabolic rate of the user in the sleeping state, including:

[0077] S51, the air conditioner obtains the average basal metabolic rate of the user during the wakefulness period before entering the sleep stage, the decrease ratio of the user's average heart rate in each sleep stage to the wakefulness period before entering the sleep stage, and a second correction value for correcting the metabolic rate model.

[0078] S52, the air conditioner determines the metabolic rate of the human body in the sleeping state based on the average basal metabolic rate of the user during the waking period before entering the sleeping stage, the decrease ratio of the user's average heart rate in each sleeping stage to the waking period before entering the sleeping stage, and the second correction value used to correct the metabolic rate model.

[0079] In the aforementioned embodiment, when the user is in the stage of falling asleep, the corresponding ratio of the user's average heart rate in each sleep stage to the decrease in the wakefulness period before entering the sleep stage is 1.

[0080] In this embodiment, the average basal metabolic rate of the user during the wakefulness period before entering the sleep stage can be 40W / m 2 The ratio of the user's average heart rate in each sleep stage to the decrease in the wakefulness period before entering the sleep stage can also be obtained in a variety of ways:

[0081] In the first method, when the current indoor temperature is the preset temperature, the air conditioner can obtain the user's gender information, the user's current sleep cycle information and the user's sleep stage information within the sleep cycle; thereby, the air conditioner can use the decrease ratio corresponding to the user's gender information, the user's current sleep cycle information and the user's sleep stage information within the sleep cycle according to the preset correspondence as the decrease ratio of the user's average heart rate in each sleep stage and the wakefulness period before entering the sleep stage.

[0082] In the second method, when the ambient temperature is 26°C, the reduction ratio of each sleep stage to the wakefulness period before entering the sleep stage can be summarized for male and female users, and the user's average heart rate in each sleep stage and the reduction ratio of the wakefulness period before entering the sleep stage can be obtained by combining the summarized table data. Please refer to Table 1 and Table 2 for details. Here, Table 1 shows the reduction ratio of each sleep stage to the wakefulness period before entering the sleep stage for male users when the ambient temperature is 26°C. Table 2 shows the reduction ratio of each sleep stage to the wakefulness period before entering the sleep stage for female users when the ambient temperature is 26°C. Among them, W / m 2 The unit of human metabolism.

[0083] Table 1

[0084] male W N1 N2 N3 R First sleep cycle 0 7.13％ 15.66％ 15.83％ 9.62％ Second sleep cycle 12％ 16.05％ 20.91％ 20.9％ 16.03％

[0085] Table 2

[0086] female W N1 N2 N3 R First sleep cycle 0 7.65％ 10.91％ 11.93％ 2.83％ Second sleep cycle 3％ 14.9％ 18.86％ 17.81％ 12.21％

[0087] The above experimental data shows that after a user falls asleep in an environment with an ambient temperature of 26°C, the percentage (f) of the user's average heart rate decrease relative to the wakefulness period before entering sleep varies significantly across different sleep stages. Consequently, this leads to differences in the metabolic rate (M). Because the SPMV model output is influenced by metabolic rate (M), the comfort values ​​obtained using this model for different sleep stages will inevitably fluctuate, even exceeding the upper comfort threshold or falling below the lower comfort threshold. Furthermore, factors influencing the SPMV model output include ambient temperature, relative humidity, and wind speed. Therefore, if metabolic rate (M) changes and causes the SPMV model output to exceed the preset range, the ambient temperature, relative humidity, and wind speed parameters can be adjusted to keep the SPMV model output within the preset range, thereby improving the user's sleep comfort. The preset range is [lower comfort threshold, upper comfort threshold]. It should be noted that the lower and upper comfort thresholds can be set according to user needs. For example, the lower comfort threshold is -0.3, and the upper comfort threshold is 0.3. Alternatively, the lower comfort threshold is -0.5, and the upper comfort threshold is 0.5. In addition, when the output of the SPMV model is higher than the upper comfort threshold, it indicates that the user is experiencing a sense of heat. The greater the difference between the output of the SPMV model and the upper comfort threshold, the stronger the user's sense of heat. When the output of the SPMV model is lower than the lower comfort threshold, it indicates that the user is experiencing a sense of cold. The greater the absolute value of the difference between the output of the SPMV model and the lower comfort threshold, the stronger the user's sense of cold.

[0088] In the third method, the ratio of the user's average heart rate in each sleep stage to the decrease in the wakefulness period before entering the sleep stage can also be determined by the following method:

[0089] f=C i ·(t-26)+f(26)

[0090] Where f is the ratio of the user's average heart rate during each sleep stage to the decrease in wakefulness before entering the sleep stage. Ci is the third proportional coefficient, and its value is related to the sleep cycle. For the first sleep cycle, C1 = -0.0086. For the second sleep cycle, C2 = -0.0203. t is the indoor temperature, which can be obtained by the temperature sensor associated with the air conditioner or by collecting weather information from a terminal device associated with the air conditioner.

[0091] With this solution, after the air conditioner obtains the user's average basal metabolic rate during the waking period before entering the sleep stage, the user's average heart rate in each sleep stage and the decrease ratio of the waking period before entering the sleep stage, and the second correction amount used to correct the metabolic rate model, the human metabolic rate in the sleeping state can be determined more accurately through the user's average basal metabolic rate during the waking period before entering the sleep stage, the user's average heart rate in each sleep stage and the decrease ratio of the waking period before entering the sleep stage, and the second correction amount used to correct the metabolic rate model.

[0092] Optionally, the air conditioner determines the human metabolic rate in the sleeping state based on the average basal metabolic rate of the user during the waking period before entering the sleeping stage, the ratio of the average heart rate of the user in each sleeping stage to the decrease during the waking period before entering the sleeping stage, and a second correction value for correcting the metabolic rate model, including:

[0093] M=M B ·[1-c(t)·f]

[0094] Among them, M is the metabolic rate of the human body in the sleeping state, M B is the average basal metabolic rate of the user during the wakefulness period before entering the sleep stage, c(t) is the second correction value, and f is the decrease ratio of the user's average heart rate in each sleep stage to the wakefulness period before entering the sleep stage.

[0095] In this embodiment, it can be seen from the above discussion that f=C i ·(t-26)+f(26). Therefore, it can be deduced that the metabolic rate of the human body in the sleeping state is: M=M B ·{1-c(t)·[(t-26)·C i+f(26)]}. It should be noted that the above formula is not applicable to the calculation of metabolic rate during the second sleep cycle and is not applicable to the calculation of metabolic rate in extremely low or high temperature environments. With this solution, the average basal metabolic rate of the user during the wakeful period before entering the sleep stage, the decrease ratio of the user's average heart rate in each sleep stage to the wakeful period before entering the sleep stage, and the second correction value used to correct the metabolic rate model can be used to determine the human metabolic rate in the sleep state more accurately.

[0096] In the above embodiment, when the user is in the sleep stage, the corresponding ratio of the user's average heart rate in each sleep stage to the decrease in the wakefulness period before entering the sleep stage is 1. Therefore, the user's human metabolic rate in the sleep state can be calculated by the following formula: M = M B ·[1-c(t)].

[0097] Optionally, the second correction amount can be determined by:

[0098] C(t)=kt-z

[0099] Wherein, C(t) is the second correction value, k is the second proportional coefficient, t is the indoor temperature, and z is the second correction constant.

[0100] In this solution, multiple experimental data can be fitted to obtain a calculation formula for the second correction amount after fitting. Here, the calculation formula for the second correction amount after fitting has good linear correlation. As an example, in the goodness of fit R 2 When the second proportional coefficient k is 0.99, the second correction constant z is 9.9283. The second correction value is calculated as C(t) = 0.425t - 9.9283. This shows that the second correction value is closely related to changes in indoor temperature. This solution can obtain a more accurate second correction value, providing an accurate data foundation for the construction of the human metabolic rate model.

[0101] Figure 7 This is a schematic diagram of a method for determining a clothing surface coefficient provided by an embodiment of the present disclosure; Figure 7 As shown, the air conditioner determines the user's metabolic rate and clothing surface coefficient in the sleeping state, including:

[0102] S61, the air conditioner obtains the thermal resistance of the clothing.

[0103] S62, the air conditioner determines the surface coefficient of the bedding according to the thermal resistance of the bedding.

[0104] Optionally, in S62, the air conditioner determines a surface coefficient of the clothing according to the thermal resistance of the clothing, including:

[0105] f cl=0.75(1+0.2I cl )

[0106] Among them, f cl is the surface coefficient of the clothing, I cl Thermal resistance of bedding.

[0107] In this embodiment, the thickness and coverage of bedding vary in different seasons, resulting in correspondingly different thermal resistances. Therefore, the air conditioner can determine the bedding surface coefficient based on the obtained thermal resistance. In another example, the air conditioner can also obtain information about the current season and the exposed area of ​​the user while sleeping; determine the heat dissipation area of ​​the bedding based on the current season information; and thereby determine the bedding surface coefficient based on the exposed area and the heat dissipation area of ​​the user while sleeping. Specifically, the air conditioner can determine the bedding surface coefficient corresponding to the exposed area and the heat dissipation area of ​​the user while sleeping based on a preset correspondence. In another example, the bedding surface coefficient can also be determined by looking up a table. The table to be looked up can store the corresponding bedding surface coefficients for different seasons. In an optimized solution, the air conditioner can also obtain information about the current season and the exposed area of ​​the user while sleeping; determine the heat dissipation area of ​​the bedding based on the current season information; and use the ratio of the heat dissipation area of ​​the bedding to the exposed area of ​​the user while sleeping as the corrected bedding surface coefficient. In this way, a more accurate servitude surface coefficient can be determined in a variety of ways.

[0108] Specifically, the air conditioner establishes a PMV model based on the human metabolic rate and the surface coefficient of the clothing in the sleeping state, including:

[0109]

[0110] In this embodiment, M, I cl , W represent metabolic rate, clothing thermal resistance and external mechanical work respectively, and external mechanical work is 0. a , v, H, tr represent the ambient temperature, wind speed, relative humidity and mean radiation temperature respectively, and the mean radiation temperature tr is related to the ambient temperature t a The values ​​are equal. a 、f cl 、h c , t cl They represent the water vapor partial pressure, clothing surface coefficient, convection heat transfer coefficient and clothing outer surface temperature respectively. a Determined according to ambient temperature and relative humidity, calculated using the following formula:

[0111]

[0112] Specifically, the convective heat transfer coefficient is determined based on the ambient temperature, mean radiation temperature, and wind speed, and is calculated using the following formula:

[0113]

[0114] Specifically, the outer surface temperature of the clothing is calculated using the following formula:

[0115] t cl =35.7-0.0275(MW)-0.155I cl [(MW)-3.05(5.73-0.007(MW)-P a )-0.42{(MW)-58.15}-0.0173M(5.87-P a )-0.0014M(34-t a )]

[0116] With this solution, the air conditioner can combine the metabolic rate of the human body in the sleeping state and the surface coefficient of the bedding to establish a PMV model.

[0117] In this embodiment, the SPMV model corresponding to the sleeping state is universal. Therefore, according to the aforementioned PMV model, the PMV model of the user in the sleeping state can be determined according to the human metabolic rate and the clothing surface coefficient corresponding to the sleeping stage.

[0118] Combine Figure 8 As shown, an embodiment of the present disclosure provides a device for controlling an air conditioner, including a processor 100 and a memory 101. Optionally, the device may further include a communication interface 102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via the bus 103. The communication interface 102 may be used for information transmission. The processor 100 may call the logic instructions in the memory 101 to execute the method for controlling the air conditioner of the above embodiment.

[0119] In addition, the logic instructions in the memory 101 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0120] The memory 101 is a computer-readable storage medium that can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes the program instructions / modules stored in the memory 101 to execute functional applications and data processing, thereby implementing the method for controlling the air conditioner in the above-mentioned embodiments.

[0121] The memory 101 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal device. Furthermore, the memory 101 may include high-speed random access memory and non-volatile memory.

[0122] An embodiment of the present disclosure provides an air conditioner, comprising the above-mentioned device for controlling an air conditioner.

[0123] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for controlling an air conditioner.

[0124] An embodiment of the present disclosure provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions, which, when executed by a computer, enable the computer to execute the above-mentioned method for controlling an air conditioner.

[0125] The aforementioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0126] The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program code, or a transient storage medium.

[0127] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to also include plural forms. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listings. In addition, when used in this application, the term "comprise" and its variations "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups of these. In the absence of further restrictions, an element defined by the sentence "comprising a..." does not exclude the presence of other identical elements in the process, method or device that includes the element. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments can be referenced to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can be found in the description of the method part.

[0128] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. The technicians will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0129] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical functional division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, and can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. In addition, the functional units in the embodiments of the present disclosure may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0130] The flowcharts and block diagrams in the accompanying drawings show the possible implementation architectures, functions and operations of the systems, methods and computer program products according to the embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of the code, and the module, program segment or part of the code contains one or more executable instructions for implementing the specified logical functions. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified function or action, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for controlling an air conditioner, characterized in that: include: Acquire the current sleeping state of the user associated with the air conditioner in the sleeping stage; When the current sleeping state indicates that the user has entered a sleeping stage, controlling the fan to operate at a preset wind speed and obtaining a current comfort value of the SPMV model associated with the user; adjusting environmental parameters of the environment associated with the user based on a match between the current comfort level and a preset comfort level; The SPMV model is determined as follows: Determining a human metabolic rate and a clothing surface coefficient of the user in a sleeping state; Establishing a PMV model according to the human metabolic rate and the surface coefficient of the clothing in the sleeping state; Calculating a first correction value b(t) for correcting the PMV model; wherein b(t)=at-c, a is a first proportional coefficient, t is the indoor temperature, and c is a first correction constant; The SPMV model is constructed according to the PMV model and the first correction value b(t); wherein, the SPMV model is constructed according to the PMV model and the first correction value b(t), including: SPMV=PMV+b(t).

2. The method according to claim 1, characterized in that The adjusting the environmental parameters of the environment associated with the user according to the matching between the current comfort level and the preset comfort level includes: When the current comfort level is greater than the upper comfort level threshold, lowering the indoor temperature of the environment; When the current comfort level is less than a lower comfort level threshold, the indoor temperature of the environment is increased.

3. The method according to claim 2, characterized in that The step of lowering / increasing the indoor temperature of the environment includes: Obtaining a difference between the current comfort value and the target comfort value; Determining a target temperature change corresponding to the difference based on a correspondence between the indoor temperature change and the comfort value change; The indoor temperature value is adjusted according to the target temperature change.

4. The method according to claim 2, characterized in that The adjusting the environmental parameters of the environment associated with the user according to the matching between the current comfort level and the preset comfort level further includes: The relative humidity of the environment is controlled to be within a preset relative humidity range.

5. The method according to claim 1, wherein Determining the user's metabolic rate when sleeping includes: Obtaining an average basal metabolic rate of the user during a wakeful period before entering a sleep stage, a decrease ratio of the user's average heart rate in each sleep stage to the wakeful period before entering a sleep stage, and a second correction value for correcting the metabolic rate model; The human metabolic rate in the sleeping state is determined based on the average basal metabolic rate of the user during the waking period before entering the sleep stage, the decrease ratio of the user's average heart rate in each sleep stage to the waking period before entering the sleep stage, and the second correction amount used to correct the metabolic rate model.

6. A device for controlling an air conditioner, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for controlling an air conditioner according to any one of claims 1 to 5 when running the program instructions.

7. An air conditioner, characterized in that: The device for controlling an air conditioner as claimed in claim 6 is included.

8. A storage medium storing program instructions, characterized in that: When the program instructions are executed, the method for controlling an air conditioner according to any one of claims 1 to 5 is executed.

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