CN111720963A

CN111720963A - Air conditioning method and device in sleep environment and electronic equipment

Info

Publication number: CN111720963A
Application number: CN202010579803.2A
Authority: CN
Inventors: 宋德超; 陈翀; 王玉宾; 岳冬
Original assignee: Gree Electric Appliances Inc of Zhuhai; Zhuhai Lianyun Technology Co Ltd
Current assignee: Gree Electric Appliances Inc of Zhuhai; Zhuhai Lianyun Technology Co Ltd
Priority date: 2020-06-23
Filing date: 2020-06-23
Publication date: 2020-09-29
Anticipated expiration: 2040-06-23
Also published as: CN111720963B; WO2021258695A1

Abstract

The embodiment of the application provides an air conditioning method and device in a sleep environment and electronic equipment, which are used for accurately and effectively adjusting the air state in the sleep environment. The method comprises the following steps: acquiring current air state information of a target user in a sleeping environment; inputting the current air state information into a target comfort level perception model to obtain a current comfort level value; determining whether the current comfort value is in an ideal comfort value interval of the target user under the target comfort perception model; if the current comfort value is outside the ideal comfort value interval, determining target air state information adaptive to the target user according to the comfort value in the ideal comfort value interval and the target comfort perception model; according to the target air state information, determining corresponding air parameter adjusting information needing to be adjusted; and the control target air conditioning equipment operates according to the air parameter conditioning information so as to adjust the air state in the sleeping environment.

Description

Air conditioning method and device in sleep environment and electronic equipment

Technical Field

The invention relates to the technical field of computers, in particular to an air conditioning method and device in a sleep environment and electronic equipment.

Background

The sleep is the most important way for people to recover physical strength and repair bodies, and the quality of the sleep directly determines the working state and the health condition of people. A number of studies have shown that sleep is affected by many factors, including temperature, humidity, wind speed, lighting, noise, etc., where temperature, humidity, wind speed are the primary air environments that affect a person's sleep. With the development of science and technology, the technology of air conditioning equipment such as air conditioners, air adding/dehumidifying devices and the like is gradually mature and popularized, and the sleeping environment and conditions of people are greatly improved. However, most of the current air conditioning modes of these devices are passive and artificial, and since the body temperature and the external environment of people during sleep are constantly changing, the devices cannot sense the cool and hot feeling and the comfortable state of people in real time, and the research indicates that even if the sleep mode of the air conditioner in the market starts, most of people are waken up or frozen at night, and the simple timing mode cannot meet the sleep requirement of people.

Therefore, how to accurately and effectively adjust the air state in the sleeping environment so that the air state in the sleeping environment can be adapted to the user as much as possible, and the user can feel comfortable as much as possible in the sleeping environment is a problem to be considered at present.

Disclosure of Invention

The embodiment of the application provides an air conditioning method and device in a sleep environment and electronic equipment, which are used for accurately and effectively adjusting the air state in the sleep environment so that the air state in the sleep environment can be adapted to a user as much as possible, and the user can feel comfortable as much as possible in the sleep environment.

In a first aspect, there is provided a method of air conditioning in a sleep environment, the method comprising:

acquiring current air state information of a target user in a sleeping environment;

inputting the current air state information into a target comfort level perception model to obtain a current comfort level value, wherein the target comfort level perception model is obtained by adjusting a public comfort level perception model by using historical operation data of a target user on air conditioning equipment, and the historical operation data indicates the comfort level requirement of the target user on the air state;

determining whether the current comfort value is within an ideal comfort value interval of the target user under the target comfort perception model, wherein the target user feels comfortable to an air state corresponding to the ideal comfort value interval;

if the current comfort value is outside the ideal comfort value interval, determining target air state information adaptive to the target user according to the comfort value in the ideal comfort value interval and the target comfort level perception model;

determining air parameter adjusting information corresponding to air to be adjusted according to the target air state information;

and the control target air conditioning equipment operates according to the air parameter conditioning information so as to adjust the air state in the sleeping environment.

Optionally, determining target air state information adapted to the target user according to the comfort value in the ideal comfort value interval and the target comfort level perception model, including:

determining a plurality of candidate air state information corresponding to the plurality of comfort values according to the plurality of comfort values included in the ideal comfort value interval and the target comfort level perception model;

determining a plurality of thermal sensing values corresponding to the candidate air state information according to the current human body temperature of the target user and a human body thermal sensing model, wherein the human body thermal sensing model is related to the current human body temperature of the user, the human body temperature in a comfortable state and a temperature sensitive factor;

and determining air state information corresponding to an optimal thermal sensing value in the plurality of thermal sensing values as the target air state information, wherein the comfort level of the target user for temperature perception is the highest at the optimal thermal sensing value.

Optionally, the method further includes:

acquiring sleep state data of the target user in a sleep process;

determining the current sleep stage of the target user according to the sleep state data and a trained sleep stage prediction model, wherein the sleep stage prediction model is obtained by training a public sleep stage prediction model according to the sleep state data of the user and a plurality of groups of historical sleep state data correspondingly labeled with sleep stage labels;

and determining the current body temperature of the target user according to the current sleep stage.

Optionally, the adjusting the public comfort perception model by using the historical operation data of the target user on the air conditioning equipment includes:

acquiring multiple groups of historical operation data corresponding to the target user, wherein each group of historical operation data comprises operation data of the target user on the air conditioning equipment and function parameter information of the air conditioning equipment before and after operation;

determining a first comfort value of the functional parameter information before operation in each group of historical operation data corresponding to the public comfort perception model, and determining a second comfort value of the functional parameter information after operation in the group of historical sample data corresponding to the public comfort perception model;

and adjusting the comfort value interval in the public comfort perception model according to the first comfort value and the second comfort value to obtain an adjusted comfort value interval, and determining the adjusted comfort value interval as the ideal comfort value interval of the target comfort perception model.

Optionally, controlling the target air conditioning device to operate according to the air parameter adjustment information includes:

determining the current coverage rate of the target user;

adjusting the air parameter adjusting information according to the coverage rate to obtain adjusted air parameter adjusting information;

and controlling the target air conditioning equipment to operate according to the adjusted air parameter conditioning information.

determining an adjusting requirement according to the type and the adjusting amplitude of the air parameter to be adjusted corresponding to the air parameter adjusting information;

and selecting the candidate air conditioning equipment meeting the regulation requirement as the target air conditioning equipment, wherein the energy consumption for regulating the air parameter type and the regulation amplitude meets the set conditions.

In a second aspect, there is provided an air conditioning device in a sleep environment, the device comprising:

the acquisition module is used for acquiring the current air state information of a target user in a sleeping environment;

the first determining module is used for inputting the current air state information into a target comfort level perception model to obtain a current comfort level value, wherein the target comfort level perception model is obtained by adjusting a public comfort level perception model by using historical operation data of a target user on air conditioning equipment, and the historical operation data indicates the comfort level requirement of the target user on the air state;

a second determining module, configured to determine whether the current comfort value is within an ideal comfort value interval of the target user under the target comfort perception model, where the target user feels comfortable for an air state corresponding to the ideal comfort value interval;

a third determining module, configured to determine, if the current comfort value is outside the ideal comfort value interval, target air state information adapted to the target user according to a comfort value in the ideal comfort value interval and the target comfort level perception model;

the fourth determining module is used for determining air parameter adjusting information which corresponds to air to be adjusted according to the target air state information;

and the adjusting module is used for controlling the target air conditioning equipment to operate according to the air parameter adjusting information so as to adjust the air state in the sleeping environment.

Optionally, the third determining module is configured to:

Optionally, the third determining module is further configured to:

acquiring sleep state data of the target user in a sleep process;

Optionally, the first determining module is further configured to:

Optionally, the adjusting module is configured to:

determining the current coverage rate of the target user;

Optionally, the adjusting module is configured to:

In a third aspect, an electronic device is provided, which includes:

a memory for storing program instructions;

a processor for calling the program instructions stored in the memory and executing the steps comprised in any of the methods of the first aspect according to the obtained program instructions.

In a fourth aspect, there is provided a computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the steps included in the method of any one of the first aspects.

In a fifth aspect, a computer program product containing instructions is provided, which when run on a computer causes the computer to perform the method for air conditioning in a sleep environment as described in the various possible implementations above. In the embodiment of the application, the comfort value of the target user in the current sleep environment is evaluated through the target comfort level perception model obtained by adjusting the public comfort level perception model, if the obtained current comfort value is found not to be in an ideal comfort value interval of the target user under the target comfort level perception model, the target user is not comfortable at present, further, target air state information adaptive to the target user can be determined through the comfort value in the ideal comfort value interval and the target comfort level perception model, and then the air state is adjusted according to the obtained target air state information, so that the comfort level perception requirement of the user in the sleep state is met as much as possible. And because the air adjustment is carried out through the exclusive and unique target comfort level perception model of the target, on the basis of realizing the comfort level adjustment of the differentiation of the user, the accuracy of the perception and judgment of the user comfort level can be ensured, and further, the air state under the sleeping environment is accurately and effectively adjusted, so that the air state under the sleeping environment can be adapted to the user as much as possible, and the user can feel comfortable as much as possible under the sleeping environment.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application.

Fig. 1 is a flowchart of an air conditioning method in a sleep environment according to an embodiment of the present disclosure;

fig. 2 is a schematic diagram of a comfort value interval of a public comfort perception model in an embodiment of the present application;

fig. 3 is a schematic diagram illustrating adjustment of a comfort value interval of a public comfort level perception model according to an embodiment of the present application;

FIG. 4 is a diagram illustrating a comfort value interval of a target comfort level perception model in an embodiment of the present application;

FIG. 5 is a graph illustrating a human thermal sensation model according to an embodiment of the present application;

FIG. 6 is a schematic diagram of body temperature changes during sleep in an embodiment of the present application;

FIG. 7 is a schematic diagram of determining the coverage of a cover in an embodiment of the present application;

fig. 8 is a schematic view of an air conditioning device in a sleep environment in an embodiment of the present application;

fig. 9 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. In the present application, the embodiments and features of the embodiments may be arbitrarily combined with each other without conflict. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.

The terms "first" and "second" in the description and claims of the present application and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the term "comprises" and any variations thereof, which are intended to cover non-exclusive protection. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. The "plurality" in the present application may mean at least two, for example, two, three or more, and the embodiments of the present application are not limited.

In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this document generally indicates that the preceding and following related objects are in an "or" relationship unless otherwise specified.

The technical scheme provided by the embodiment of the application is described in the following with the accompanying drawings of the specification.

Referring to fig. 1, fig. 1 provides an air conditioning method in a sleep environment for the present application, where the method may be performed by an electronic device, for example, a gateway device, a cloud server, and the like, and the electronic device is in communication connection with a plurality of smart home devices, for example, may be in communication connection with a plurality of types of air conditioning devices, and the air conditioning devices include but are not limited to a smart air conditioner, a smart fan, a smart humidifier, a smart dehumidifier, a smart air purifier, and the like. The flow of the air conditioning method in the sleep environment shown in fig. 1 will be described below.

Step 101: and acquiring the current air state information of the target user in the sleeping environment.

The air conditioning method provided by the embodiment of the application can be used for conditioning the air state of any user in the sleeping environment, and the target user is taken as an example in the embodiment of the application for description. The sleeping environment refers to an environment where the target user is in sleeping, such as a bedroom environment in a home or a hotel environment, and the like.

The current air state information is air state information in a sleep environment at the current time, and the air state information is relevant description information that can be used for indicating the air state, and includes, for example, ambient temperature, ambient humidity, PM2.5 value in the environment, water vapor pressure, ambient brightness, ambient decibel value (sound), and the like.

Step 102: and inputting the current air state information into a target comfort level perception model to obtain a current comfort level value, wherein the target comfort level perception model is obtained by adjusting a public comfort level perception model by using historical operation data of a target user on the air conditioning equipment, and the historical operation data shows the comfort level requirement of the target user on the air state.

The comfort level of the user for the current air state perception can be calculated through the comfort level perception model, the comfort level of the user for the air state perception is expressed by the comfort level value in the embodiment of the application, and different comfort level values indicate that the comfort level of the user perception is different.

The public comfort level perception model in the embodiment of the application is a model commonly used by mass users, and a relatively wide and ubiquitous comfort level value interval of most users can be calculated through the public comfort level perception model, that is, the public comfort level perception model indicates that the mass users have a common and wide comfort level requirement, but the public comfort level perception model is not suitable for a specific user, for example, a target user, in other words, the target user may not feel comfortable when the mass users feel comfortable, so the public comfort level perception model is optimized and adjusted through historical operation data of the users to obtain an independent comfort level perception model adapted to the target user, and the independent and exclusive comfort level perception model of the target user is called as the target comfort level perception model.

For ease of understanding, the following description will first describe the public comfort perception model, and on this basis, the process of optimizing the comfort perception model to obtain the target comfort perception model will be described.

In the related art, through a large amount of experimental data, a human body comfort PMV (Predicted mean volume) model is obtained, and an expression of the model is as follows:

PMV＝[0.303e^-0.036M+0.028]{M-W-3.05*10^-3

[5733-6.99(M-W)-p_a]-0.42[(M-W)

-58.15]-1.7*10^-5*M(5867-p_a)-0.00148*

M(34-t_a)-3.96*10^-8fcl[(tcl+273)⁴-(

t_a+273)⁴]-fcl*hc*(tcl-t_a) } (equation 1)

The meaning of each letter variable in formula 1 is explained below, wherein:

m is human metabolism;

w is the work power, specifically refers to the function generated when the user moves, for example, the work power when the user is lying still can be considered as 0;

pa is the water vapor pressure and can be calculated by equation 2, where s in equation 2 represents the humidity:

pa ═ s 610.6 × exp (17.260 × ta/(237.3+ ta)) (equation 2)

t_aIs ambient temperature;

tcl is the average temperature of the outer surface of the body wearing the garment, and tcl can be calculated according to the following equation 3:

tcl＝35.7-0.028(M-W)-Icl{3.96*10^-8*fcl

[(tcl+273)⁴-(t_a+273)⁴]+fcl*hc(tcl-t_a) } (formula 3)

hc is the convective heat transfer coefficient,

v is the air flow rate;

fcl is the ratio of the surface area of the dressed body to the surface area of the naked body, calculated according to the following formula 4:

icl represents the garment thermal resistance.

The PMV model represented by the formula 1 is an empirical formula obtained by experiments, but is only suitable for PMV calculation of a human body in a comfortable state in the daytime, the PMV value is [ -0.5,0.5] to indicate that the human body is in the comfortable state, and in the night sleep process, because parameters such as the metabolic rate M, the thermal resistance Icl and the like of the human body are not the same as those of the human body during daytime activity, the parameters need to be reduced and adjusted.

The following describes parameter adjustment and model reduction processing for the PMV model represented by equation 1.

(1) The related literature indicates that the metabolic rate M of a human in a resting state is 50W/M²About 46W/m when lying down²The metabolic rate at sleep is about 40W/m²In the present invention, the model is taken during sleep, so the metabolic rate is 46W/m²And 40W/m²。

(2) The clothing thermal resistance Icl specifies corresponding thermal resistance query tables for different clothing thermal resistances in related documents, but does not have corresponding thermal resistance values for articles such as bedding, mattresses, pillows and the like during sleeping, and the thermal resistance query tables are not applicable due to the fact that factors such as the thickness of the bedding greatly affect the thermal resistance due to the difference between the south and the north. According to the literature and in combination with the actual situation, the total thermal resistance of the bedding is 2.5clo (thermal resistance measurement unit) in winter, 1.5clo in summer and about 1.8clo in spring and autumn.

(3) According to the relevant sleep literature, the model is reduced, and comfort degree equations about temperature, humidity, wind speed, thermal resistance and metabolic rate after reduction are obtained:

the calculated PMV value range is [ -3,3], which is a comfortable state when it is within [ -0.5,0.5], [ -3, -0.5] is a cold uncomfortable state, and [0.5,3] is a hot uncomfortable state, as shown in fig. 2.

The PMV model represented by equation 5 above may be understood as the aforementioned public comfort perception model, which, as previously mentioned, on the basis of the public comfort perception model, the embodiment of the application optimizes and adjusts the public comfort perception model by using the historical operating data of the user on the temperature regulating equipment through the artificial intelligence processing mode of machine learning, so as to self-learn the comfort level aiming at the target user, thereby obtaining a target public comfort level perception model exclusive to the target user, since the historical operating data of the thermostat by the user can indicate the comfort needs of the target user for the air state, therefore, the obtained target public comfort perception model can accurately reflect the individual perception requirement of the target user on the comfort, and the differentiation requirement of different users on the perception of the comfort is realized.

Specifically, multiple sets of historical operation data corresponding to the target user may be obtained, where each set of historical operation data includes operation data of the air conditioning equipment by the target user and functional parameter information of the air conditioning equipment before and after the operation. Furthermore, a first comfort value of the functional parameter information before operation in each group of historical operation data corresponding to the public comfort perception model can be determined, a second comfort value of the functional parameter information after operation in the group of historical sample data corresponding to the public comfort perception model can be determined, finally, the comfort value interval in the public comfort perception model is adjusted according to the first comfort value and the second comfort value to obtain an adjusted comfort value interval, and the adjusted comfort value interval is determined as an ideal comfort value interval of the target comfort perception model to obtain the target comfort perception model.

The PMV value obtained in equation 5 is represented as a comfortable state in the range of [ -0.5,0.5], however, this is not suitable for all people (for example, at 24 ℃, people feel cold, and people feel comfortable, and then the PMV value obtained at the same temperature should not be the same), so the PMV value needs to be dynamically adjusted for different users (for example, for target users), and the specific adjustment method is described in the following description.

Firstly, by collecting historical operation data of a target user, when the target user changes or adjusts the temperature of the air conditioner, the target user indicates that the target user is not satisfied with the current environment and feels cold or hot, the indoor temperature before the user operates the air conditioner is collected, if the indoor temperature is increased, the indoor temperature is cold at the current temperature, if the indoor temperature is reduced, the indoor temperature is hot at the current temperature, and if the indoor temperature is not adjusted for a long time, the indoor temperature is satisfied, and according to the temperature before adjustment, PMV collection data corresponding to the temperature is calculated according to the formula 5 and is sorted to obtain partial data as shown in the table 1:

TABLE 1

Adjusting pre-temperature PMV value	Cold and hot feeling
		-0.8	Cold
-0.7	Comfort of the wearer
		-0.6	Comfort of the wearer
0.5	Heat generation

Secondly, according to the acquired historical user data, adjusting the corresponding interval of the target user in a comfortable state, wherein the adjusting method and the adjusting rule are as follows:

the comfort zone is first defined as shown in figure 3.

(1) The range A of the PMV value in the initial state is [ -0.5,0.5], reading is started from the first piece of data, and if the sense label corresponding to the read PMV value is 'comfortable' and the PMV value is within A, the PMV value is not adjusted;

(2) if the read PMV value is within range A1 and the corresponding tag is "Cold", then the range is not adjusted;

(3) if the read PMV value is within range A2 and the corresponding tag is "hot", then the range is not adjusted;

(4) if the read PMV value is within a range of a1, but the corresponding tag is "comfortable", the value of x2 should be adjusted to the left, and the value of x2 should be adjusted to the read PMV value;

(5) similarly, if the read PMV is in the interval a but the corresponding tag is "cold", the value of x2 should be adjusted to the right, and the value of x2 should be adjusted to the read PMV value;

(6) if the read PMV is in the interval A but the corresponding tag is "hot", the value of x3 should be adjusted to the left, and the value of x3 should be adjusted to the read PMV value;

(7) if the read PMV is within the range of A2, but the corresponding tag is "comfortable", the value of x3 should be adjusted to the right, and the value of x3 should be adjusted to the read PMV value.

According to the multiple adjustment rules, the PMV range of the target user in a comfortable state can be finally learned according to a large amount of historical operation data of the target user and adjustment according to the rules, namely the comfort level interval corresponding to the independent exclusive target user can be learned, and therefore the independent exclusive target comfort level perception model of the target user can be obtained. For example, as shown in fig. 4, it can be seen that [ -0.9,0.3] is an ideal comfort interval of the target user, and the target user is considered to prefer a cool air state to the comfort interval of [ -0.5,0.5] of the public, that is, the target user feels comfortable to the public when the public feels cool.

Further, after obtaining the target comfort level perception model independent and exclusive to the target user, for example, as shown in formula 3, formula 3 is a calculation formula regarding relevant variables such as temperature, water vapor pressure, humidity, and the like, so the current air state information may be input into the target comfort level perception model for calculation, so as to use the calculated and output comfort level value as the current comfort level value of the target user.

Step 103: and determining whether the current comfort value is in an ideal comfort value interval of the target user under the target comfort perception model, wherein the target user feels comfortable to the air state corresponding to the ideal comfort value interval.

Step 104: and if the current comfort value is outside the ideal comfort value interval, determining target air state information adaptive to the target user according to the comfort value in the ideal comfort value interval and the target comfort level perception model.

If the target user's current comfort value is outside the desired comfort value interval, this indicates that the target user may currently feel less comfortable, e.g., in the "cold discomfort" interval and feel cooler, or in the "hot discomfort" interval and feel hotter. For this purpose, a comfort value that can make the target user feel "comfortable" may be selected and input into the target comfort level perception model to reversely calculate the air condition information corresponding to the comfort value, for example, the calculated air condition information is referred to as target air condition information, for example, the target air condition information is: temperature 23 deg.C, humidity 60%, etc.

Once the metabolic rate and the thermal resistance of the PMV model are determined, the PMV model is only a model related to natural conditions such as ambient temperature, humidity, wind speed and the like, and cannot reflect changes caused by physiological changes of a person, so that the equipment is required to actively sense cold and heat, and therefore, the target air state information can be determined by combining real sensing of real-time human body temperature of a user on cold and heat, so that the accuracy of determining the target air state information can be improved by taking actual physiological changes of the user into consideration.

Firstly, a human body thermal sensation model can be established according to human body physiological changes, and the specific modeling process is as follows:

the body temperature is an important index reflecting the human body cold and hot feeling, and the higher the environmental temperature is, the higher the body temperature is, and the hotter the feeling is. Considering that the value range of the PMV is [ -3,3], the value range corresponding to the thermal sensation model is also [ -3,3], and the temperature difference of the human body theoretically varies within [ - ∞, + ∞ ], so that the following thermal sensation model can be established:

wherein T is the current body temperature of the user; tc is the body temperature of the user in a comfortable state, for example, Tc in a sleep state is 34.6 ℃; alpha is a temperature sensitive factor and represents the sensitivity of the human body temperature to the change of the environmental temperature.

Referring to a curve diagram corresponding to a human thermal sensing model shown in fig. 5, it can be seen from the model that the model is a tan function, when the human body temperature is in the most comfortable state, the thermal sensing value feeing is 0, when the human body temperature is lower than the comfortable state, the thermal sensing value feeing is calculated to be <0, when the human body temperature is higher than the comfortable temperature, the thermal sensing value feeing is >0, and when the temperature is higher than a certain value, the thermal sensing reaches a limit with a slow trend, and the model can well reflect the change of the human thermal sensing along with the human body temperature, which is consistent with the actual situation.

In the embodiment of the application, a plurality of candidate air state information corresponding to a plurality of comfort values can be determined according to a plurality of comfort values and a target comfort level perception model included in an ideal comfort value interval, a plurality of thermal sensing values corresponding to the plurality of candidate air state information are determined according to the current human body temperature of a target user and the human body thermal sensing model, and finally, the air state information corresponding to the optimal thermal sensing value in the plurality of thermal sensing values is determined as the target air state information, wherein the comfort level of the target user for temperature perception is the highest when the optimal thermal sensing value is achieved, namely the optimal thermal sensing value is the thermal sensing value which is most comfortable for the target user to feel cool and heat.

Assuming that the sleep comfort model of the second pass is combined with the target comfort perception model and the human thermal perception model of the target user at the same time, it can be expressed as the following equation 7:

sleepformat ═ α · PMV + β · feeling (equation 7)

For the target user, PMV in equation 7 represents a target comfort perception model that is independent and specific to the target user, feeling can be understood as the aforementioned human thermal perception model, α and β represent weight coefficients, and the sum of α and β is 1.

Then, according to equation 7, when SleepComfort → 0, the closer the user is, the more comfortable the user is, and according to the sleep stage of the user, the corresponding body temperature condition is obtained, the feeling value can be calculated according to equation 6, then the solution of equation 7 is converted into an optimization model enabling SleepComfort → 0, and the most appropriate PMV value related to the ambient temperature, humidity and wind speed is sought, that is, the ambient condition of the current user in the most comfortable state.

Therefore, not only a comfort model capable of describing the sleep environment is considered, but also a human body thermal perception model capable of describing the real perception of the user (mainly the human body temperature) to the sleep environment is considered, and the obtained target air state information is more accurate.

In the process of utilizing the human body thermal sensing model, the current human body temperature of the target user needs to be acquired, one possible implementation manner is to detect the current human body temperature of the target user in real time through a sensor worn by the target user, and the other possible implementation manner is to predict the current sleep stage of the target user through a sleep stage prediction model, and then predict the current human body temperature of the target user according to the change rule of the human body temperature of each sleep stage in the experience knowledge.

The method comprises the steps that a sleep stage prediction model is used for obtaining the current body temperature of a target user, wherein the sleep stage prediction model is obtained by training a public sleep stage prediction model according to sleep state data of the target user and multiple groups of historical sleep state data correspondingly marked with sleep stage labels, and therefore the sleep stage prediction model obtained by training according to the data of the target user can accurately predict the sleep stage of the target user according to the personal real sleep condition of the user. In the method, the sleep state data of the target user in the sleep process can be acquired, the current sleep stage of the target user is determined according to the sleep state data and the trained sleep stage prediction model, and the current body temperature of the target user is determined according to the current sleep stage.

The body temperature of a person is constantly changed in the sleeping process, and documents show that the body temperature change and the sleeping stage show certain correlation, so that the body temperature change rule needs to be grasped, the sleeping stage can be accurately judged, the corresponding body temperature change condition can be calculated by combining expert knowledge, the sleeping stage prediction is mainly trained according to sleeping data, wherein the sleeping data comprises real-time heart rate, respiration, body movement and a sleeping stage label corresponding to the moment, and the data is sourced from data collected by a certain brand of mattress, and the specific prediction method comprises the following steps:

(1) and (5) training a model. After normalization of the heart rate, respiration rate, and body movement data (e.g., body rotation, head rotation, and eye movement) as characteristic inputs, and the sleep stage labels as outputs, the model may be trained using, for example, an SVM algorithm.

(2) And (4) sleep stage prediction, namely inputting the acquired real-time sleep state data (heart rate, respiration, body movement and eye movement) into a trained sleep stage model to acquire a corresponding sleep stage.

Body temperature changes during sleep have a certain rhythm: from sleep onset to sleep entrance to the first light sleep stage (about 1 hour), the body temperature is in an increasing state, and then the body temperature starts to decrease until the second rapid eye movement stage starts, the body temperature is at a lower level, and shows small fluctuations with the sleep stages, as shown in fig. 6 (where 0 denotes a waking state, 1 denotes a light sleep stage, 2 denotes a deep sleep stage, and 3 denotes a rapid eye movement stage), then according to the sleep stage prediction, two time points from waking to the first light sleep entrance and the second rapid eye movement stage arrival are found respectively (shown as "+" in fig. 6), according to expert knowledge, it is assumed that the skin temperature changes at the three time points are respectively [ a1, a2, a3], and at the same time, the three stages respectively cover a plurality of sleep stages, and according to the expert knowledge, since different sleep stages have different sleep demands, the skin temperature fluctuates slightly, as shown in dashed lines in fig. 6.

Step 105: and determining air parameter adjusting information corresponding to the air to be adjusted according to the target air state information.

As described above, the target air condition information is the temperature 23 ℃, the humidity 60%, etc., and if the current ambient temperature is 27 ℃ and the humidity is 80%, the type of the air parameter to be adjusted is the temperature and the humidity, the adjustment range of the temperature is "4 ℃ lower", and the adjustment range of the humidity is "20% lower", then the determined type of the air parameter to be adjusted and the corresponding adjustment range can be understood as the air parameter adjustment information.

Step 106: and the control target air conditioning equipment operates according to the air parameter conditioning information to adjust the air state in the sleeping environment.

As described above, the air parameter adjustment information may indicate the type of the air parameter to be adjusted and the corresponding adjustment range, based on which, the adjustment requirement of the current air conditioning may be determined, and then, from the candidate air conditioning devices that satisfy the adjustment requirement, the air conditioning device that satisfies the setting condition for the energy consumption for adjusting the type of the air parameter and the adjustment range is selected as the target air conditioning device, and then, the air conditioning is performed by the target air conditioning device.

In an embodiment, after the air parameter adjustment information needing to be adjusted is determined, the current coverage rate of the cover of the target user can be further determined, the determined air parameter adjustment information is adjusted according to the coverage rate of the cover, so that adjusted air parameter adjustment information is obtained, and the target air conditioning equipment is controlled to operate according to the adjusted air parameter adjustment information.

A user, particularly a child, easily kicks a quilt when sleeping, for example, real-time quilt covering area and quilt covering rate of the user when sleeping are detected according to a pressure sensor in a mattress, air parameter adjusting information needing to be adjusted is adjusted to a certain degree according to the covering rate of the quilt, if the covering rate of the normal quilt is 80%, and the covering rate of the quilt is detected to be 50% -60%, the air conditioner temperature is increased by 1 ℃ on the basis of the original adjustment, so that cold caused by too low covering rate of the quilt for the user can be avoided. In one possible embodiment, the way of detecting and estimating the comforter coverage is shown in fig. 7, S1 represents the body area of the user, S2 represents the comforter area, and the comforter coverage can be calculated by equation 8:

in the embodiment of the application, the comfort value of the target user in the current sleep environment is evaluated through the target comfort level perception model obtained by adjusting the public comfort level perception model, if the obtained current comfort value is found not to be in an ideal comfort value interval of the target user under the target comfort level perception model, the target user is not comfortable at present, further, target air state information adaptive to the target user can be determined through the comfort value in the ideal comfort value interval and the target comfort level perception model, and then the air state is adjusted according to the obtained target air state information, so that the comfort level perception requirement of the user in the sleep state is met as much as possible. And because the air adjustment is carried out through the exclusive and unique target comfort level perception model of the target, on the basis of realizing the comfort level adjustment of the differentiation of the user, the accuracy of the perception and judgment of the user comfort level can be ensured, and further, the air state under the sleeping environment is accurately and effectively adjusted, so that the air state under the sleeping environment can be adapted to the user as much as possible, and the user can feel comfortable as much as possible under the sleeping environment.

Based on the same inventive concept, the embodiment of the application provides an air conditioning device in a sleep environment, and the air conditioning device in the sleep environment can be a hardware structure, a software module or a hardware structure and a software module. Referring to fig. 8, the air conditioning device in a sleep environment in the embodiment of the present application includes an obtaining module 801, a first determining module 802, a second determining module 803, a third determining module 804, a fourth determining module 805, and an adjusting module 806, where:

an obtaining module 801, configured to obtain current air state information of a target user in a sleep environment;

a first determining module 802, configured to input the current air state information into a target comfort level perception model to obtain a current comfort level value, where the target comfort level perception model is obtained by adjusting a public comfort level perception model according to historical operation data of the target user on the air conditioning device, and the historical operation data indicates a comfort level requirement of the target user on the air state;

a second determining module 803, configured to determine whether the current comfort value is within an ideal comfort value interval of the target user under the target comfort perception model, where the target user feels comfortable for an air state corresponding to the ideal comfort value interval;

a third determining module 804, configured to determine, if the current comfort value is outside the ideal comfort value interval, target air state information adapted to the target user according to the comfort value in the ideal comfort value interval and the target comfort level perception model;

a fourth determining module 805, configured to determine, according to the target air state information, air parameter adjustment information that needs to be adjusted correspondingly;

and an adjusting module 806, configured to control the target air conditioning device to operate according to the air parameter adjustment information, so as to adjust an air state in the sleep environment.

In one possible implementation, the third determining module 804 is configured to:

determining a plurality of candidate air state information corresponding to a plurality of comfort values according to a plurality of comfort values and a target comfort level perception model included in the ideal comfort value interval;

determining a plurality of thermal sensation values corresponding to the candidate air state information according to the current human body temperature of the target user and a human body thermal sensation model, wherein the human body thermal sensation model is related to the current human body temperature of the user, the human body temperature in a comfortable state and a temperature sensitive factor;

and determining the air state information corresponding to the optimal thermal sensing value in the plurality of thermal sensing values as target air state information, wherein the comfort level of the target user for temperature perception is the highest at the optimal thermal sensing value.

In a possible implementation, the third determining module 804 is further configured to:

acquiring sleep state data of a target user in a sleep process;

determining the current sleep stage of a target user according to the sleep state data and a trained sleep stage prediction model, wherein the sleep stage prediction model is obtained by training a public sleep stage prediction model according to the sleep state data of the user and a plurality of groups of historical sleep state data correspondingly labeled with sleep stage labels;

In one possible implementation, the first determining module 802 is further configured to:

acquiring multiple groups of historical operation data corresponding to a target user, wherein each group of historical operation data comprises operation data of the target user on the air conditioning equipment and function parameter information of the air conditioning equipment before and after operation;

and adjusting the comfort value interval in the public comfort perception model according to the first comfort value and the second comfort value to obtain an adjusted comfort value interval, and determining the adjusted comfort value interval as an ideal comfort value interval of the target comfort perception model.

In one possible implementation, the adjustment module 806 is configured to:

determining the current coverage rate of the target user;

adjusting the air parameter adjustment information according to the coverage rate to obtain adjusted air parameter adjustment information;

In one possible implementation, the adjustment module 806 is configured to:

and selecting the candidate air conditioning equipment meeting the conditioning requirement as target air conditioning equipment, wherein the energy consumption for conditioning the air parameter type and the adjustment range meets the set conditions.

All relevant contents of each step involved in the foregoing embodiments of the air conditioning method under the sleep environment may be cited to the functional description of the functional module corresponding to the apparatus for detecting network quality in this embodiment, and are not described herein again.

The division of the modules in the embodiments of the present application is schematic, and only one logical function division is provided, and in actual implementation, there may be another division manner, and in addition, each functional module in each embodiment of the present application may be integrated in one processor, may also exist alone physically, or may also be integrated in one module by two or more modules. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

Based on the same concept of the embodiments of the present disclosure, embodiments of the present application further provide an electronic device, for example, a gateway device or a cloud server, where the electronic device is capable of executing the air conditioning method in the sleep environment. As shown in fig. 9, an electronic device in the embodiment of the present disclosure includes at least one processor 901, a memory 902 and a communication interface 903, where the memory 902 and the communication interface 903 are connected to the at least one processor 901, a specific connection medium between the processor 901 and the memory 902 is not limited in the embodiment of the present disclosure, in fig. 9, the processor 901 and the memory 902 are connected through a bus 900 as an example, the bus 900 is represented by a thick line in fig. 9, and connection manners between other components are only schematically illustrated and are not limited. The bus 900 may be divided into an address bus, a data bus, a control bus, etc., and is shown with only one thick line in fig. 9 for ease of illustration, but does not represent only one bus or type of bus.

In the embodiment of the present application, the memory 902 stores instructions executable by the at least one processor 901, and the at least one processor 901 may execute the steps included in the foregoing method for recommending multimedia content by executing the instructions stored in the memory 902.

The processor 901 is a control center of the electronic device, and may connect various parts of the whole electronic device by using various interfaces and lines, and perform or execute instructions stored in the memory 902 and call data stored in the memory 902, so as to perform various functions and process data of the electronic device, thereby performing overall monitoring on the electronic device. Optionally, the processor 901 may include one or more processing units, and the processor 901 may integrate an application processor and a modem processor, where the processor 901 mainly processes an operating system, a user interface, an application program, and the like, and the modem processor mainly processes wireless communication. It will be appreciated that the modem processor described above may not be integrated into the processor 901. In some embodiments, the processor 901 and the memory 902 may be implemented on the same chip, or in some embodiments, they may be implemented separately on separate chips.

The processor 901 may be a general-purpose processor, such as a Central Processing Unit (CPU), a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, that may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in a processor.

Memory 902, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The Memory 902 may include at least one type of storage medium, and may include, for example, a flash Memory, a hard disk, a multimedia card, a card-type Memory, a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Programmable Read Only Memory (PROM), a Read Only Memory (ROM), a charge Erasable Programmable Read Only Memory (EEPROM), a magnetic Memory, a magnetic disk, an optical disk, and so on. The memory 902 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 902 of the embodiments of the present application may also be circuitry or any other device capable of performing a storage function for storing program instructions and/or data.

The communication interface 903 is a transmission interface that can be used for communication, and can receive data or transmit data via the communication interface 903, for example.

With continued reference to FIG. 9, the electronic device also includes a basic input/output system (I/O system) 904 that facilitates information transfer between various devices within the electronic device, and a mass storage device 908 for storing an operating system 905, application programs 906, and other program modules 907.

The basic input/output system 904 includes a display 909 for displaying information and an input device 910 such as a mouse, keyboard, etc. for user input of information. Wherein a display 909 and an input device 910 are connected to the processor 901 via a basic input/output system 904 connected to the system bus 900. The basic input/output system 904 may also include an input/output controller for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, an input-output controller may also provide output to a display screen, a printer, or other type of output device.

The mass storage device 908 is connected to the processor 901 through a mass storage controller (not shown) connected to the system bus 900. The mass storage device 908 and its associated computer-readable media provide non-volatile storage for the server package. That is, the mass storage device 908 may include a computer-readable medium (not shown), such as a hard disk or CD-ROM drive.

According to various embodiments of the invention, the electronic package may also be operated by a remote computer connected to the network via a network, such as the Internet. That is, the electronic device may be connected to the network 911 via the communication interface 903 connected to the system bus 900, or may be connected to another type of network or a remote computer system (not shown) using the communication interface 903.

Based on the same inventive concept, the present application also provides a storage medium storing computer instructions, which when run on a computer, cause the computer to perform the steps of the air conditioning method in the sleep environment as described above.

In some possible embodiments, the various aspects of the air conditioning method in a sleep environment provided by the present application may also be implemented in the form of a program product, which includes program code for causing an electronic device to perform the steps in the air conditioning method in a sleep environment according to various exemplary embodiments of the present application described above in this specification, when the program product is run on the electronic device.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method of air conditioning in a sleep environment, the method comprising:

2. The method of claim 1, wherein determining target air state information adapted to the target user based on the comfort values in the ideal comfort value interval and the target comfort perception model comprises:

3. The method of claim 2, wherein the method further comprises:

acquiring sleep state data of the target user in a sleep process;

4. The method of claim 1, wherein adjusting a public comfort perception model using historical operating data of the air conditioning device by the target user comprises:

5. The method according to any one of claims 1 to 4, wherein controlling the target air conditioning equipment to operate in accordance with the air parameter adjustment information includes:

determining the current coverage rate of the target user;

adjusting the air parameter adjusting information according to the covering rate of the cover to obtain adjusted air parameter adjusting information;

6. The method according to any one of claims 1 to 4, wherein controlling the target air conditioning equipment to operate in accordance with the air parameter adjustment information includes:

7. An air conditioning device in a sleep environment, the device comprising:

8. The apparatus of claim 7, wherein the third determination module is to:

9. An electronic device, characterized in that the electronic device comprises:

a memory for storing program instructions;

a processor for calling program instructions stored in said memory and for executing the steps comprised in the method of any one of claims 1 to 6 in accordance with the obtained program instructions.

10. A storage medium storing computer-executable instructions for causing a computer to perform the steps comprising the method of any one of claims 1-6.