CN114608121B

CN114608121B - Method and device for controlling air conditioner, air conditioner and storage medium

Info

Publication number: CN114608121B
Application number: CN202210269541.9A
Authority: CN
Inventors: 庄杰; 郭鑫; 付光军
Original assignee: Qingdao Haier Air Conditioner Gen Corp Ltd; Qingdao Haier Air Conditioning Electric Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Air Conditioner Gen Corp Ltd; Qingdao Haier Air Conditioning Electric Co Ltd; Haier Smart Home Co Ltd
Priority date: 2022-03-18
Filing date: 2022-03-18
Publication date: 2024-05-24
Anticipated expiration: 2042-03-18
Also published as: CN114608121A

Abstract

The application relates to the technical field of air conditioners and discloses a method for controlling an air conditioner, which comprises the steps of obtaining a current comfort value of a SPMV model associated with a sleeping stage of a user; obtaining target relative humidity according to the matching condition of the comfort level value and the preset comfort level range; and executing an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity. The method can meet the comfort level requirement of the user on the environment in the sleep stage. The application also discloses a device for controlling the air conditioner, the air conditioner and a storage medium.

Description

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

Technical Field

The present application relates to the technical field of air conditioners, and for example, to a method and apparatus for controlling an air conditioner, and a storage medium.

Background

At present, the user can get sufficient rest in the sleep stage, and the quality of sleep has great influence on the subsequent work and health state of the user. When a user sleeps, the user is disturbed by external environments, such as ambient temperature and humidity, ambient light brightness, noise and the like.

To meet the comfort level requirements of the user in the sleep stage, the air conditioner sets a sleep mode. In general, a user sets a target temperature value for an air conditioner through a remote control device. And after the air conditioner operates in the sleep mode, regulating and controlling the environment temperature of the user according to the target temperature value until the target temperature value is met.

In the operation stage of the air conditioner in the sleep mode, only the temperature of the environment where the user is located is adjusted, and in the operation process of the air conditioner, the humidity value of the environment where the user is located is also changed. Changes in the indoor humidity value can also have an impact on the comfort level of the user during sleep stages.

In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

The mode of temperature regulation and control on the sleeping environment where the user is located by setting the sleeping mode is adopted, the regulation and control parameters are single, and the comfort level requirement of the user on the sleeping environment where the user is located in the sleeping stage cannot be met.

Disclosure of Invention

The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.

The embodiment of the disclosure provides a method, a device, an air conditioner and a storage medium for controlling the air conditioner so as to meet the comfort level requirement of a user on the environment in a sleep stage.

In some embodiments, the method comprises: obtaining a current comfort value of a SPMV model associated with a user in a sleep stage; obtaining target relative humidity according to the matching condition of the comfort level value and the preset comfort level range; and executing an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity.

In some embodiments, the apparatus comprises: a processor and a memory storing program instructions, the processor being configured to perform the method for controlling an air conditioner as described above when the program instructions are executed.

In some embodiments, the air conditioner comprises a device for controlling the air conditioner as described above.

In some embodiments, the storage medium stores program instructions that, when executed, perform a method for controlling an air conditioner as previously described.

The method, the device, the air conditioner and the storage medium for controlling the air conditioner provided by the embodiment of the disclosure can realize the following technical effects:

After the air conditioner obtains the current comfort level value of the SPMV model associated with the sleeping stage of the user, the air conditioner can know whether the user is comfortable in the sleeping stage according to the matching condition of the comfort level value and the preset comfort level range. And when the user is uncomfortable, obtaining the target relative humidity according to the matching condition of the comfort level value and the preset comfort level range so as to execute the environment regulation strategy corresponding to the target relative humidity. Based on the existing indoor temperature regulation, the air conditioner increases relative humidity as a regulation parameter. Through corresponding regulation and control of the relative humidity, the regulated and controlled environment meets the comfort level requirement of the sleeping stage of the user.

The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.

Drawings

One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:

FIG. 1 is a schematic diagram of a method for controlling an air conditioner provided by an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of another method for controlling an air conditioner provided by an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a method for constructing a thermal comfort model provided by an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of a method for determining a metabolic rate of a human body of a user in a sleep state according to an embodiment of the present disclosure;

FIG. 8 is a schematic diagram of a method for determining a surface coefficient of a coverall provided by an embodiment of the present disclosure;

FIG. 9 is a schematic view of an apparatus for controlling an air conditioner provided in an embodiment of the present disclosure;

fig. 10 is a schematic view of another apparatus for controlling an air conditioner provided in an embodiment of the present disclosure.

Detailed Description

So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.

The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.

The term "plurality" means two or more, unless otherwise indicated.

In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.

The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.

The term "corresponding" may refer to an association or binding relationship, and the correspondence between a and B refers to an association or binding relationship between a and B.

In the embodiment of the disclosure, the intelligent home appliance refers to a home appliance formed after a microprocessor, a sensor technology and a network communication technology are introduced into the home appliance, and has the characteristics of intelligent control, intelligent sensing and intelligent application, the operation process of the intelligent home appliance often depends on the application and processing of modern technologies such as the internet of things, the internet and an electronic chip, for example, the intelligent home appliance can realize remote control and management of a user on the intelligent home appliance by connecting the electronic appliance.

In the disclosed embodiment, the terminal device refers to an electronic device with a wireless connection function, and the terminal device can be in communication connection with the intelligent household electrical appliance through connecting with the internet, or can be in communication connection with the intelligent household electrical appliance through Bluetooth, wifi and other modes. In some embodiments, the terminal device is, for example, a mobile device, a computer, or an in-vehicle device built into a hover vehicle, etc., or any combination thereof. The mobile device may include, for example, a cell phone, smart home device, wearable device, smart mobile device, virtual reality device, etc., or any combination thereof, wherein the wearable device includes, for example: smart watches, smart bracelets, pedometers, etc.

As shown in conjunction with fig. 1, an embodiment of the present disclosure provides a method for controlling an air conditioner, including:

S01, the air conditioner obtains a current comfort value of a SPMV model associated with the user in the sleep stage.

S02, the air conditioner obtains target relative humidity according to the matching condition of the comfort level value and the preset comfort level range.

S03, the air conditioner executes an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity.

By adopting the method for controlling the air conditioner provided by the embodiment of the disclosure, after the air conditioner obtains the current comfort level value of the SPMV model associated with the sleeping stage of the user, whether the user is comfortable in the sleeping stage can be known according to the matching condition of the comfort level value and the preset comfort level range. And when the user is uncomfortable, obtaining the target relative humidity according to the matching condition of the comfort level value and the preset comfort level range so as to execute the environment regulation strategy corresponding to the target relative humidity. Based on the existing indoor temperature regulation, the air conditioner increases relative humidity as a regulation parameter. Through corresponding regulation and control of the relative humidity, the regulated and controlled environment meets the comfort level requirement of the sleeping stage of the user.

Optionally, referring to fig. 2, the air conditioner obtains the target relative humidity according to the matching condition of the comfort level and the preset comfort level range, including:

S11, determining the first variation as a target humidity variation by the air conditioner under the condition that the current comfort level value is larger than the comfort level upper limit threshold value.

And S12, determining the second variation as the target humidity variation under the condition that the current comfort level is smaller than the lower comfort level threshold value, wherein the first variation is smaller than 0 and the second variation is larger than 0.

S13, the air conditioner determines the target indoor relative humidity according to the target humidity variation.

In this step, the target relative humidity is obtained by summing the current relative humidity with the target humidity variation. Specifically, the target relative humidity=the current relative humidity+the target humidity variation amount.

Wherein the preset comfort range is [ comfort lower threshold, comfort upper threshold ]. The upper comfort threshold and comfort requirement may be set according to the user's sleep 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. Further, when SPMV model output is above the comfort upper threshold, a user is indicated to produce a sensation of heat. And the greater the difference between SPMV model output and the upper comfort threshold, the more intense the user's sensation of heat. When SPMV model output is below the comfort lower threshold, it indicates that the user is cold. And the larger the absolute value of the difference between SPMV model output and comfort lower threshold, the stronger the user's cold. Further, the first variation is greater than or equal to 15% RH and less than 0. The second variation is greater than 0 and less than or equal to 15% RH.

Experiments show that under the condition that the indoor temperature and the wind speed are kept unchanged, the variation of the comfort level is positively correlated with the variation of the relative humidity. In particular, the relative humidity is reduced by 15% rh and the comfort value will be reduced slightly. The relative humidity increases by 15% rh and the comfort value will increase slightly. When the current comfort level is greater than the comfort level upper limit threshold, the air conditioner can determine that the first variation is the target humidity variation. When the current comfort value is less than the comfort lower threshold, the second variation may be determined to be the target humidity variation. Finally, a target relative humidity value is obtained by summing the current relative humidity with the target humidity variation.

In this way, the air conditioner can match the target humidity variation according to the matching condition of the current comfort level value and the comfort level upper limit threshold value or the comfort level lower limit threshold value, and a more reliable target relative humidity value is provided for the subsequent regulation and control of the indoor relative humidity.

Optionally, as shown in connection with fig. 3, the air conditioner executes an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity, including:

and S21, controlling the air conditioner to reduce the relative humidity by a first variable amount under the condition that the current comfort level value is larger than the upper comfort level threshold value until the regulated current comfort level value is matched with a preset comfort level range.

And S22, controlling the air conditioner to increase the relative humidity by a second variation amount under the condition that the current comfort level value is smaller than the upper comfort level threshold value until the regulated current comfort level value is matched with the preset comfort level range.

Therefore, the comfort level is regulated and controlled by regulating and controlling the relative humidity of the sleeping environment, and finally, the regulated and controlled current comfort level meets the comfort level requirement of a user.

It should be noted that, after the relative humidity of the air conditioner is reduced by the first variation amount or increased by the second variation amount, the air conditioner will operate for a preset period of time with the regulated relative humidity. Therefore, the small change of the relative humidity cannot be reflected through the comfort level value rapidly and directly, and the change of the comfort level of the user also needs time, so that after the air conditioner adjusts the relative humidity of the environment, the air conditioner can operate for a preset time period with the adjusted relative humidity, then acquire a new current comfort level value again, and judge the matching condition of the new current comfort level value and the preset comfort level range.

In addition, the air conditioner may set a preset relative humidity range. For example, the predetermined relative humidity range is [50% RH,65% RH ]. Because the indoor humidity is higher or lower, the user is uncomfortable, the summer belongs to the high-humidity season, and the winter belongs to the low-humidity season. Too high humidity can cause stuffy discomfort to the human body and even affect the regulation of the body temperature of the user. Therefore, the air conditioner can perform setting of the preset relative humidity range according to the season in which the user is located and the habit of the user. In the process of regulating and controlling the relative humidity of the environment by the air conditioner, the relative humidity value is controlled to be within a preset relative humidity range.

As shown in connection with fig. 4, an embodiment of the present disclosure provides a method for controlling an air conditioner, including:

S31, the air conditioner obtains the current comfort value of the SPMV model associated with the sleep stage of the user.

S32, the air conditioner obtains target relative humidity according to the matching condition of the comfort level value and the preset comfort level range.

S33, the air conditioner executes an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity.

And S34, controlling the fan to run at the lowest air quantity and/or regulating and controlling the indoor temperature of the environment to the preset temperature under the condition that the current comfort level is not matched with the preset comfort level range.

In this step, the current comfort value does not match the preset comfort range, including the current comfort value being greater than the upper comfort threshold or the current comfort threshold being less than the lower comfort threshold.

By adopting the method for controlling the air conditioner provided by the embodiment of the disclosure, in order to avoid the noise generated by the operation of the fan from interfering the sleeping of a user, the air conditioner controls the fan to operate at the lowest air volume. Meanwhile, the air conditioner regulates and controls the indoor temperature of the environment to a preset temperature so as to realize reliable regulation and control on the current comfort level through regulation and control on various environmental parameters and improve the comfort level of a user in a sleep stage.

In practical application, the preset comfort range is [ -0.5,0.5]. The method for controlling the air conditioner is specifically performed as follows:

First, the air conditioner obtains an output of 0.71 from the SPMV model associated with the user during the sleep stage. From this, the current comfort value is determined to be 0.71. Since the current comfort value is greater than the upper comfort threshold value of 0.5 and the relative humidity is reduced by 15% rh, the comfort value is reduced by a small amount. Therefore, the air conditioner determines the first variation amount 15% rh as the target humidity variation amount.

Then, the air conditioner reduces the relative humidity by the first variable quantity, simultaneously reduces the fan speed to the minimum air quantity, and adjusts the indoor temperature value to preset the temperature of 18.5 ℃.

Finally, the air conditioner again acquired the output of the new SPMV model after 20 minutes, and the output of the new SPMV model was determined to be 0.47. From this, it is determined that the adjusted environmental parameters meet the comfort needs of the user's current sleep stage.

As shown in conjunction with fig. 5, an embodiment of the present disclosure further provides a method for controlling an air conditioner, including:

S41, the air conditioner acquires the sleep migration state associated with the user.

In this step, the sleep transition state indicates that the user switches between adjacent sleep stages and within a certain sleep period. The sleep period represents a sleep period in which the user is sleeping. A complete sleep cycle consists of a time series of wakefulness, shallow sleep, deep sleep and rapid eye movement. There are differences in duration of wakefulness, shallow sleep, deep sleep, and rapid eye movement over different sleep periods. Wakefulness, light sleep, deep sleep, and rapid eye movement represent different sleep stages.

S42, the air conditioner obtains the output quantity of the SPMV model of the user in the current sleep stage under the condition that the sleep transition state represents sleep switching, so as to determine the current comfort level value according to the output quantity.

In this step, the SPMV model output will float when a sleep shift occurs. SPMV model output during float, there is the possibility of float outside of the preset comfort range. Thus, the air conditioner performs SPMV the acquisition of the model output and determines the current comfort level when the user switches from sleep.

S43, the air conditioner obtains the current comfort value of the SPMV model associated with the sleep stage of the user.

S44, the air conditioner obtains the target relative humidity according to the matching condition of the comfort level value and the preset comfort level range.

S45, the air conditioner executes an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity.

By adopting the method for controlling the air conditioner provided by the embodiment of the disclosure, experiments prove that the descending proportion of each sleep stage to the awake period before entering the sleep stage is different in different sleep stages. The decreasing ratio of each sleep stage to the awake period prior to entering the sleep stage affects the magnitude of the SPMV model output. Accordingly, when the user switches from one sleep stage to another, the comfort level changes correspondingly. Thus, when the sleep transition state indicates that the user has a switch to sleep, the air conditioner re-acquires the output of the SPMV model for the current sleep stage and determines the current comfort value accordingly. Therefore, the current comfort level can be reliably obtained, corresponding relative humidity regulation and control can be carried out when the current comfort level indicates that the user comfort level is poor, and the relative humidity regulation and control efficiency is improved.

Optionally, fig. 6 is a schematic diagram of a method for constructing a thermal comfort model provided by an embodiment of the present disclosure; referring to fig. 6, the air conditioner determines SPMV model as follows:

s51, the air conditioner determines the human metabolism rate of the user in the sleeping state and the surface coefficient of the bedding and clothing.

S52, the air conditioner establishes a PMV (PREDICTED MEAN Vote, forecast average ballot number) model according to the human metabolism rate and the surface coefficient of the bedding and clothing in the sleeping state.

S53, the air conditioner calculates a first correction amount for correcting the PMV model.

S54, the air conditioner constructs SPMV models according to the PMV models and the first correction quantity.

In this scheme, it can be understood that the metabolic rate of the human body in the sleep state of the user is not the same as the metabolic rate of the human body in the awake state of the user. Accordingly, the air conditioner can perform determination of the metabolic rate of the human body in the sleep state by obtaining the average basal metabolic rate of the user in the awake period before entering the sleep stage and the second correction amount for correcting the metabolic rate model. In addition, the air conditioner can also determine the surface coefficient of the bedding and clothing by obtaining the thermal resistance of the bedding and clothing. Here, the thermal resistances of the bedding and clothing in different seasons are different, and accordingly, the heat dissipation areas of the bedding and clothing are also different and the same. Further, after the air conditioner determines the human body metabolic rate and the surface coefficient of the bedding and clothing of the user in the sleeping state, the air conditioner can be combined with the human body metabolic rate and the surface coefficient of the bedding and clothing of the user in the sleeping state to establish a PMV model, so that the thermal comfort condition of the user in the sleeping state at night can be represented to a certain extent. Further, to construct SPMV models that more accurately characterize the thermal comfort of the user during night sleep, a first correction amount for correcting the PMV model needs to be calculated. Here, the first correction amount is a temperature correction amount, and the air conditioner can correct fluctuations in the PMV model due to changes in the ambient temperature by the first correction amount. Thus, after the air conditioner calculates the first correction amount for correcting the PMV model, the PMV model and the first correction amount can be combined to construct the SPMV model which can more accurately represent the thermal comfort condition of the user in the night sleep state.

Thus, after the human body metabolism rate and the surface coefficient of the bedding and clothing in the sleeping state of the user are determined, the human body metabolism rate and the surface coefficient of the bedding and clothing in the sleeping state are combined to establish a PMV model, and the PMV model is corrected through the calculated first correction amount, so that a SPMV model capable of reflecting the thermal comfort condition of the user in the sleeping state at night is obtained. With this scheme, solved the drawback that current PMV model can not represent the user's thermal comfort degree condition under the night sleep state, promoted the accuracy of user's sleep state's thermal comfort degree judgement, provided accurate data basis for the user carries out the air conditioner control under the state of falling asleep, satisfied user's thermal comfort degree's demand.

Optionally, the air conditioner constructs SPMV a model according to the PMV model and the first correction amount, including:

SPMV＝PMV+b(t)

Wherein b (t) is the first correction amount.

In this scheme, the air conditioner may combine the PMV model and the first correction amount to construct SPMV model. Wherein b (t) is a first correction amount, which is a temperature correction amount for correcting a fluctuation of the PMV model due to a change in the ambient temperature. The SPMV model includes:

Wherein M, W represents metabolic rate and external mechanical work, respectively, and the external mechanical work is 0.t _a, v, H, tr represent the ambient temperature, wind speed, relative humidity, and average radiation temperature, respectively, and the average radiation temperature tr is equal in value to the ambient temperature t _a. P _a、f_cl、h_c、t_cl represents the water vapor partial pressure, the surface coefficient of the bedding, the convective heat transfer coefficient, and the garment exterior surface temperature, respectively.

By adopting the SPMV model, human body parameter factors, environmental factors, other related factors and the like can be comprehensively considered, a thermal comfort model related to sleeping of a user can be more accurately constructed, and compared with a PMV adopted in the related technology, the actual comfort condition of the user in a sleeping state can be accurately reflected. Wherein, human body parameter factors include metabolism rate, thermal resistance of the bedding and clothing and external mechanical work. Environmental factors include ambient temperature, wind speed, relative humidity, and average radiation temperature. Other relevant factors include water vapor partial pressure, bedding surface coefficient, convective heat transfer coefficient, and garment exterior surface temperature.

Optionally, the air conditioner calculates a first correction amount for correcting the PMV model, including:

b(t)＝at-c

where b (t) is a first correction amount, a is a first proportional coefficient, t is an indoor temperature, and c is a first correction constant.

In this scheme, a plurality of experimental data may be fitted to obtain a calculation formula of the first correction amount after the fitting. Here, the calculation formula of the fitted first correction amount has a good linear correlation. As an example, in the case where the goodness of fit R ² is 0.88, the first scale factor a is 0.2294 and the first correction constant c is 6.4026. I.e. the first correction amount, is calculated by the formula b (t) = 0.2294t-6.4026. From this, it can be seen that the first correction amount is closely related to the change in the indoor temperature. With the adoption of the scheme, a more accurate first correction amount can be obtained, and an accurate data basis is provided for the construction process of the SPMV model.

FIG. 7 is a schematic diagram of a method for determining a metabolic rate of a human body of a user in a sleep state according to an embodiment of the present disclosure; as shown in fig. 7, optionally, the air conditioner determines a metabolic rate of a human body of the user in a sleep state, including:

S61, the air conditioner obtains the average basic metabolism rate of the user before entering the sleep stage in the awake period, the average heart rate of the user in each sleep stage in the awake period, and the descending proportion of the user before entering the sleep stage in the awake period, and a second correction amount for correcting the metabolism rate model.

S62, the air conditioner determines the human body metabolism rate in the sleep state according to the average basic metabolism rate of the user in the awake period before entering the sleep stage, the reduction ratio of the average heart rate of the user in each sleep stage to the awake period before entering the sleep stage and the second correction amount for correcting the metabolism rate model.

In this embodiment, the average basal metabolic rate of the user during the awake period prior to entering the sleep stage may be 40W/m ². The rate of decline of the average heart rate of the user during each sleep stage to the awake period prior to entering the sleep stage may also be obtained in a number of ways:

In the first mode, under the condition that the current indoor temperature is the preset temperature, the air conditioner can acquire gender information of the user, sleeping period information of the user at present and sleeping stage information of the user in the sleeping period of the user; therefore, the air conditioner can take the descending proportion corresponding to the gender information of the user, the current sleep period information of the user and the sleep stage information of the user in the sleep period of the user as the descending proportion of the average heart rate of the user in each sleep stage and the awake period before entering the sleep stage according to the preset corresponding relation.

In the second mode, when the ambient temperature is 26 ℃, the descending proportion of the awake period before entering the sleep stage of the male user and the female user in each sleep stage can be summarized, and the descending proportion of the average heart rate of the user in each sleep stage and the awake period before entering the sleep stage can be obtained by combining the summarized table data, and refer to table 1 and table 2 specifically. Here, table 1 shows the drop ratio of each sleep stage to the awake period before entering the sleep stage when the ambient temperature of the male user is 26 ℃. Table 2 shows the rate of decrease in each sleep stage versus the awake period prior to entering the sleep stage for female users at an ambient temperature of 26 ℃. Wherein W/m ² is a human metabolism unit.

TABLE 1

Male men	W	N1	N2	N3	R
						First sleep period	0	7.13％	15.66％	15.83％	9.62％
Second sleep period	12％	16.05％	20.91％	20.9％	16.03％

TABLE 2

Female woman	W	N1	N2	N3	R
						First sleep period	0	7.65％	10.91％	11.93％	2.83％
Second sleep period	3％	14.9％	18.86％	17.81％	12.21％

From the above experimental data, it can be seen that after the user goes to sleep in an environment with an ambient temperature of 26 ℃, the average heart rate of the user in each sleep stage is greatly different from the decreasing proportion f of the awake period before going to the sleep stage in different sleep stages. This results in a difference in the metabolic rate M. Because factors affecting SPMV model output include metabolic rate M, the user's comfort level at different sleep stages obtained according to the SPMV model must float, even if it exceeds the upper comfort threshold or is less than the lower comfort threshold. Meanwhile, factors affecting SPMV model output also include ambient temperature, relative humidity, wind speed, etc. Therefore, when the metabolic rate M changes and the SPMV model output quantity exceeds the preset range, the three parameters including the ambient temperature, the relative humidity and the wind speed can be regulated and controlled, so that the SPMV model output quantity obtained again after regulation and control is located in the preset range, and the comfort level of the sleeping stage of the user is improved. Wherein the preset range is [ comfort lower threshold, comfort upper threshold ]. It should be noted that the comfort lower limit threshold and the comfort upper limit threshold may be set according to the user requirement. For example, the lower comfort threshold is-0.3 and the upper comfort threshold is 0.3. Or the lower comfort threshold is-0.5 and the upper comfort threshold is 0.5. Further, when SPMV model output is above the comfort upper threshold, a user is indicated to produce a sensation of heat. And the greater the difference between SPMV model output and the upper comfort threshold, the more intense the user's sensation of heat. When SPMV model output is below the comfort lower threshold, it indicates that the user is cold. And the larger the absolute value of the difference between SPMV model output and comfort lower threshold, the stronger the user's cold.

In a third way, the rate of decrease of the average heart rate of the user during each sleep stage to the awake period before entering the sleep stage may also be determined by:

f＝C_i·(t-26)+f(26)

Where f is the decreasing ratio of the average heart rate of the user during each sleep stage to the awake period before entering the sleep stage, and Ci is the third scaling factor, and its value is associated with the sleep cycle. When the sleep cycle is the first sleep cycle, C ₁ = -0.0086. When the sleep period is the second sleep period, C ₂ = -0.0203.t is the indoor temperature, and can be obtained through detection of a temperature sensor associated with the air conditioner, or can be obtained through acquisition of weather information by a terminal device associated with the air conditioner.

With the adoption of the scheme, after the air conditioner obtains the average basic metabolism rate of the user before entering the sleep stage, the average heart rate of the user in each sleep stage and the descending proportion of the user before entering the sleep stage and the second correction amount for correcting the metabolism rate model, the human metabolism rate in a more accurate sleep state can be determined through the average basic metabolism rate of the user before entering the sleep stage, the descending proportion of the average heart rate of the user in each sleep stage and the user before entering the sleep stage and the second correction amount for correcting the metabolism rate model.

Optionally, the air conditioner determines the human body metabolic rate in the sleep state according to the average basic metabolic rate of the user in the awake period before entering the sleep stage, the average heart rate of the user in each sleep stage and the decreasing proportion of the awake period before entering the sleep stage, and the second correction amount for correcting the metabolic rate model, and the method comprises the following steps:

M＝M_B·[1-c(t)·f]

Wherein M is the human metabolism rate in the sleep state, M _B is the average basic metabolism rate of the user in the awake period before entering the sleep stage, c (t) is the second correction amount, and f is the reduction ratio of the average heart rate of the user in each sleep stage to the awake period before entering the sleep stage.

In this embodiment, as is apparent from the above discussion, f=C _i · (t-26) +f (26). Therefore, it is also possible to deduce the metabolic rate of the human body in the sleep state as: m=m _B·{1-c(t)·[(t-26)·C_i +f (26) ] }. It should be noted that the foregoing formula is not applicable to the calculation of the metabolic rate in the awake period of the second sleep cycle, and is not applicable to the calculation of the metabolic rate in the extremely low temperature or extremely high temperature environment. With this scheme, the human body metabolic rate in a more accurate sleep state can be determined by the average basal metabolic rate of the user in the awake period before entering the sleep stage, the decreasing ratio of the average heart rate of the user in each sleep stage to the awake period before entering the sleep stage, and the second correction amount for correcting the metabolic rate model.

In the foregoing embodiment, when the user is in the sleep stage, the average heart rate of the corresponding user in each sleep stage is 1 to the decline ratio of the awake period before entering the sleep stage. Therefore, the metabolic rate of the human body of the user in the sleep state can be calculated by the following formula: m=m _B · [1-c (t) ].

Alternatively, the second correction amount may be determined by:

C(t)＝kt-z

Wherein C (t) is a second correction amount, k is a second proportionality coefficient, t is the indoor temperature, and z is a second correction constant.

In this embodiment, a plurality of experimental data may be fitted to obtain a calculation formula of the second correction amount after the fitting. Here, the calculation formula of the fitted second correction amount has a good linear correlation. As an example, in the case where the goodness of fit R ² is 0.99, the second scaling factor k is 0.425 and the second correction constant z is 9.9283. Namely, the calculation formula of the second correction amount is C (t)

=0.425 T-9.9283. From this, it can be seen that the second correction amount is closely related to the change in the indoor temperature. With the scheme, the second correction amount can be obtained more accurately, and an accurate data basis is provided for the construction process of the human metabolic rate model.

FIG. 8 is a schematic diagram of a method for determining a surface coefficient of a coverall provided by an embodiment of the present disclosure; referring to fig. 8, the air conditioner determines a human metabolism rate and a surface coefficient of a bedding and clothing of a user in a sleeping state, including:

S71, the air conditioner obtains the thermal resistance of the bedding and clothing.

S72, the air conditioner determines the surface coefficient of the bedding and clothing according to the thermal resistance of the bedding and clothing.

Optionally, S72, the air conditioner determines a surface coefficient of the bedding and clothing according to the bedding and clothing thermal resistance, including:

f_cl＝0.75(1+0.2I_cl)

Wherein f _cl is the surface coefficient of the bedding and clothing, and I _cl is the thermal resistance of the bedding and clothing.

In this embodiment, the thickness and coverage area of the bedding and clothing in different seasons are different, and accordingly the thermal resistance of the bedding and clothing is also different. Thus, the air conditioner can determine the bedding surface coefficient in combination with the obtained bedding thermal resistance. In another example, the air conditioner may also obtain current season information and an exposed portion of the user when the user is in a sleep state; determining the heat dissipation area of the bedding and clothing according to the current season information; therefore, the surface coefficient of the bedding and clothing is determined according to the exposed part of the user in the sleeping state and the heat dissipation area of the bedding and clothing. Specifically, the air conditioner may determine, as the surface coefficient of the bedding and clothing, the surface coefficient of the bedding and clothing corresponding to the exposed portion and the cooling area of the bedding and clothing when the user is in the sleep state according to a preset correspondence. In another example, the bedding surface coefficients may also be determined by way of a look-up table. The table to be queried can store the surface coefficients of the clothing corresponding to the user in different seasons. In an optimized scheme, the air conditioner can also obtain current season information and the exposed area of the user in a sleep state; determining the heat dissipation area of the bedding and clothing according to the current season information; and the ratio of the heat dissipation area of the bedding and clothing to the exposed area of the user in a sleeping state is used as the corrected bedding and clothing surface coefficient. In this way, the more accurate surface coefficients of the bedding and clothing can be determined in a variety of ways.

Specifically, the air conditioner establishes a PMV model according to the human metabolism rate and the surface coefficient of the bedding and clothing in the sleep state, and the method comprises the following steps:

In this embodiment M, I _cl, W represent metabolic rate, thermal resistance of the bedding and clothing, and external mechanical work, respectively, and the external mechanical work is 0.t _a, v, H, tr represent the ambient temperature, wind speed, relative humidity, and average radiation temperature, respectively, and the average radiation temperature tr is equal in value to the ambient temperature t _a. P _a、f_cl、h_c、t_cl represents the water vapor partial pressure, the surface coefficient of the bedding, the convective heat transfer coefficient, and the garment exterior surface temperature, respectively. Specifically, the water vapor partial pressure P _a is determined according to the ambient temperature and the relative humidity, and is calculated using the following formula:

specifically, the convective heat transfer coefficient is determined according to the ambient temperature, the average radiation temperature and the wind speed, and is calculated by adopting the following formula:

Specifically, the garment exterior surface temperature is specifically calculated using the following formula:

t_cl＝35.7-0.0275(M-W)-0.155I_cl[(M-W)-3.05(5.73-0.007(M-W)-P_a)-0.42{(M-W)-58.15}-0.0173M(5.87-P_a)-0.0014M(34-t_a)]

with the scheme, the air conditioner can combine the human metabolism rate and the surface coefficient of the bedding and clothing in the sleeping state to establish the PMV model.

As shown in conjunction with fig. 9, an embodiment of the present disclosure provides an apparatus for controlling an air conditioner, including an acquisition module 21, a determination module 22, and an execution module 23. The acquisition module 21 is configured to acquire a current comfort value of a SPMV model associated with the user during sleep stages; the determining module 22 is configured to obtain the target relative humidity according to the matching of the comfort level value and the preset comfort level range; the execution module 23 is configured to execute an environmental regulation strategy corresponding to the target relative humidity according to the target relative humidity.

By adopting the device for controlling the air conditioner, which is provided by the embodiment of the disclosure, the comfort level requirement of a user on the environment in a sleep stage can be met.

As shown in connection with fig. 10, an embodiment of the present disclosure provides an apparatus for controlling an air conditioner, including a processor (processor) 100 and a memory (memory) 101. Optionally, the apparatus may further comprise a communication interface (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 transfer. The processor 100 may call logic instructions in the memory 101 to perform the method for controlling an air conditioner of the above-described embodiment.

Further, the logic instructions in the memory 101 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.

The memory 101 is a computer readable storage medium that can be used to store a software program, a computer executable program, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by executing program instructions/modules stored in the memory 101, i.e., implements the method for controlling an air conditioner in the above-described embodiment.

The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the terminal device, etc. Further, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.

The embodiment of the disclosure provides an air conditioner, which comprises the device for controlling the air conditioner.

Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for controlling an air conditioner.

The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for controlling an air conditioner.

The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or a transitory storage medium.

The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in the present disclosure, the terms "comprises," "comprising," and/or variations thereof, mean that the recited features, integers, steps, operations, elements, and/or components are present, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus that includes the element. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.

Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims

1. A method for controlling an air conditioner, comprising:

Obtaining a current comfort value of a SPMV model associated with a user in a sleep stage;

Obtaining target relative humidity according to the matching condition of the comfort level value and the preset comfort level range;

executing an environment regulation strategy corresponding to the target relative humidity according to the target relative humidity;

the obtaining the current comfort value of the SPMV model associated with the sleep stage by the user further comprises:

Acquiring sleep migration states associated with the user;

acquiring the output quantity of a SPMV model of the user in a current sleep stage under the condition that the sleep transition state represents sleep switching, so as to determine the current comfort level value according to the output quantity;

The step of obtaining the output quantity of the SPMV model of the current sleep stage of the user further comprises the following steps:

Acquiring the human metabolism rate and the surface coefficient of the bedding and clothing of the user in a sleep state;

Establishing a PMV model according to the human metabolism rate and the surface coefficient of the bedding and clothing in the sleep state;

calculating a first correction amount of the user correction SPMV model;

constructing the SPMV model according to the PMV model and the first correction amount;

the determining the human metabolism rate of the user in the sleep state comprises the following steps:

Acquiring an average basic metabolic rate of the user before entering a sleep stage in a wake stage, an average heart rate of the user in each sleep stage in a fall proportion of the user in the sleep stage in the wake stage before entering the sleep stage, and a second correction amount for correcting a metabolic rate model;

Determining the human body metabolic rate in a sleep state according to the average basic metabolic rate of the user in the awake period before entering the sleep stage, the reduction ratio of the average heart rate of the user in each sleep stage to the awake period before entering the sleep stage and the second correction amount for correcting the metabolic rate model;

determining a second correction amount of the metabolic rate model by;

C(t)＝kt-z

Wherein C (t) is a second correction amount, k is a second proportionality coefficient, t is the indoor temperature, and z is a second correction constant;

Determining a metabolic rate of the human body in a sleep state according to an average basal metabolic rate of the user in a wake period before the user enters a sleep stage, a decreasing ratio of an average heart rate of the user in each sleep stage to the wake period before the user enters the sleep stage, and a second correction amount for correcting the metabolic rate model, including:

M＝M_B·[1-c(t)·f]

Wherein M is the human metabolism rate in the sleep state, M _B is the average basic metabolism rate of the user in the awake period before entering the sleep stage, c (t) is the second correction amount, and f is the reduction ratio of the average heart rate of the user in each sleep stage to the awake period before entering the sleep stage;

Calculating a first correction amount for the user corrected SPMV model, comprising:

b(t)＝at-c

2. The method according to claim 1, wherein the obtaining the target relative humidity according to the matching between the comfort value and the preset comfort range comprises:

determining the first variation as a target humidity variation under the condition that the current comfort level value is larger than a comfort level upper limit threshold value;

Determining a second variation as the target humidity variation under the condition that the current comfort level is smaller than a comfort level lower limit threshold, wherein the first variation is smaller than 0 and the second variation is larger than 0;

and determining the relative humidity in the target room according to the target humidity variation.

3. The method of claim 2, wherein the performing an environmental conditioning strategy corresponding to the target relative humidity based on the target relative humidity comprises:

controlling the air conditioner to increase the relative humidity by the first variation amount under the condition that the current comfort value is larger than the upper comfort threshold value until the regulated current comfort value is matched with the preset comfort range;

And under the condition that the current comfort level value is smaller than the comfort level upper limit threshold value, controlling the air conditioner to reduce the relative humidity by the second variation amount until the regulated current comfort level value is matched with the preset comfort level range.

4. The method according to claim 1, wherein in case the current comfort value does not match a preset comfort range, the method further comprises:

And controlling the fan to run at the lowest air quantity and/or regulating and controlling the indoor temperature of the environment to a preset temperature.

5. An apparatus for controlling an air conditioner comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method for controlling an air conditioner according to any one of claims 1 to 4 when the program instructions are executed.

6. An air conditioner comprising the apparatus for controlling an air conditioner according to claim 5.

7. A storage medium storing program instructions which, when executed, perform the method for controlling an air conditioner according to any one of claims 1 to 4.