CN115046292A - Air conditioner and control method thereof - Google Patents

Abstract

The present disclosure discloses an air conditioner and a control method thereof. The air conditioner includes a human body temperature detection device, an indoor temperature detection device and a controller. The human body temperature detection device is used to detect the face temperature and hand temperature of a target user; the indoor temperature detection device It is used to detect the indoor ambient temperature; the controller is configured to: obtain the average facial temperature of the face temperature, input the average facial temperature, hand temperature and indoor ambient temperature into the decision tree model of the user's individual body temperature and coldness, and make decisions based on the user's individual body temperature and coldness The output value of the tree model determines the temperature and cold feeling state of the target user, adjusts the currently set target temperature according to the warm and cold feeling state, and controls the operation of the air conditioner according to the adjusted target temperature. At least eight layers of temperature decision condition sets constitute a plurality of temperature decision branches. The air conditioner and the control method thereof disclosed in the present disclosure can meet the comfort requirements of individual users and improve the comfort of the air conditioner.

Description

Air conditioner and control method thereof

technical field

The present disclosure relates to the technical field of air conditioners, and in particular, to an air conditioner and a control method of the air conditioner.

Background technique

Air conditioners are an electrical product widely used in people's lives. Air conditioners play an important role in regulating indoor temperature and can provide users with a healthy and comfortable indoor environment to meet normal work, life and study needs.

At present, the control comfort is usually designed by setting a single temperature index, or using a specified single temperature index and a specified single humidity index to design the control comfort. In this way, it is usually to meet the comfort needs of most groups.

However, due to the differences in individual comfort requirements, a single temperature and a single humidity index adjustment cannot effectively meet people's needs for comfort, and cannot meet the individual differentiated and personalized thermal comfort control requirements of different users.

SUMMARY OF THE INVENTION

The present disclosure aims to solve at least one of the technical problems existing in the prior art. To this end, an object of the present disclosure is to provide an air conditioner that can meet the individual differentiated and personalized thermal comfort requirements of different users.

Another object of the present disclosure is to provide a control method of an air conditioner.

In order to achieve the above object, the air conditioner according to the embodiment of the first aspect of the present disclosure includes: a human body temperature detection device, the human body temperature detection device is used to detect the face temperature and hand temperature of a target user; an indoor temperature detection device, the indoor temperature detection device The temperature detection device is used to detect the indoor ambient temperature; the controller is connected to the temperature acquisition device and the indoor temperature detection device, and the controller is configured to: obtain the average facial temperature of the facial temperature, Input the average face temperature, the hand temperature and the indoor environment temperature into the user's individual body temperature and coldness decision tree model, and determine the target user's temperature and coldness according to the output value of the user's individual body temperature and coldness decision tree model According to the temperature and cold feeling state, the currently set target temperature is adjusted, and the operation of the air conditioner is controlled according to the adjusted target temperature, wherein the user's individual body temperature and cold feeling decision tree model is configured with at least eight layers of temperature A decision condition set, at least eight layers of temperature decision condition sets constitute multiple temperature decision branches, wherein the first layer of temperature decision condition sets includes: decision conditions based on the hand temperature, and the second layer of temperature decision condition sets includes: Decision-making conditions based on the indoor ambient temperature, the third-layer temperature decision-making conditions include: decision-making conditions based on the average temperature of the face and the hand temperature, and the fourth-layer temperature decision-making conditions include: taking the indoor temperature The decision-making conditions based on the ambient temperature, the hand temperature and the average temperature of the face, the fifth-layer temperature decision-making conditions include: the decision-making conditions based on the average temperature of the face and the indoor ambient temperature, the sixth-layer temperature Decision-making conditions include: decision-making conditions based on the indoor ambient temperature, the average temperature of the face, and the hand temperature, and the seventh-layer temperature decision-making conditions include: the indoor ambient temperature, the hand temperature, and the hand temperature. The decision conditions based on the average temperature of the face, and the temperature decision conditions on the eighth layer include: decision conditions based on the temperature of the hand, the average temperature of the face, and the indoor ambient temperature.

The method for controlling an air conditioner according to an embodiment of the second aspect of the present disclosure includes: acquiring the face temperature, hand temperature and indoor ambient temperature of a target user; acquiring an average face temperature of the face temperature, The hand temperature and the indoor ambient temperature are input into the decision tree model for the user's individual body temperature and coldness, wherein the user's individual body temperature and coldness decision tree model is configured with at least eight layers of temperature decision condition sets, and at least eight layers of temperature decision condition sets are composed of A plurality of temperature decision branches, wherein the first layer of temperature decision condition sets includes: decision conditions based on the hand temperature, and the second layer of temperature decision condition sets includes: decision conditions based on the indoor ambient temperature, The third layer of temperature decision conditions includes: decision conditions based on the average temperature of the face and the hand temperature, and the fourth layer of temperature decision conditions includes: the indoor ambient temperature, the hand temperature and the face Decision-making conditions based on the average temperature, the fifth-layer temperature decision-making conditions include: decision-making conditions based on the average temperature of the face and the indoor ambient temperature, and the sixth-layer temperature decision-making conditions include: the indoor ambient temperature, all The decision-making conditions based on the average temperature of the face and the hand temperature, the seventh-layer temperature decision-making conditions include: the decision-making conditions based on the indoor ambient temperature, the hand temperature and the average temperature of the face, the eighth Layer temperature decision-making conditions include: decision-making conditions based on the hand temperature, the average face temperature, and the indoor ambient temperature; determining the target user's Warm and cool feeling state; adjust the currently set target temperature according to the warm and cool feeling state, and control the operation of the air conditioner according to the adjusted target temperature.

The air conditioner and the control method thereof according to the embodiments of the present disclosure can make up for the PMV (Predicted Mean Vote) prediction comfort model based on the general population by adjusting the target temperature by adopting the decision tree model of the user's individual body temperature and cold feeling established based on big data and artificial intelligence technology. The deficiency of individual differences is weakened, and not only the user's individual face temperature can be considered to experience the user's current feeling of warmth and coldness, but also the indoor ambient temperature will also affect the user's warm and cold experience, and the face and hands are exposed, but the temperature of both is exposed. There are deviations. Therefore, the air conditioner inputs the average temperature of the face, the temperature of the hand and the indoor environment temperature into the decision tree model of the user's individual body temperature and coldness, so as to meet the comfort of the target user's individual temperature and coldness, and improve the individualization and differentiation of the individual user. demand to improve the comfort of air conditioners. And, considering that it may be difficult to collect data at some points of the face temperature, in the present disclosure, the controller obtains the average face temperature of the face temperature, so as to avoid the situation that a single test point cannot collect data, which is more practical. The collected data is more accurate.

Additional aspects and advantages of the present disclosure will be set forth, in part, from the following description, and in part will become apparent from the following description, or may be learned by practice of the present disclosure.

Description of drawings

One or more embodiments are exemplified by the accompanying drawings, which are not intended to limit the embodiments, and elements with the same reference numerals in the drawings are shown as similar elements, The drawings do not constitute a limitation of scale, and in which:

1 is a schematic diagram of a refrigeration cycle system of an air conditioner according to an embodiment of the present disclosure;

2 is a block diagram of an air conditioner according to one embodiment of the present disclosure;

3 is a flow chart of establishing a decision tree model modeling of a user's individual body temperature and cold feeling by artificial intelligence technology based on big data according to an embodiment of the present disclosure;

4 is a schematic diagram of a partial configuration of a decision tree model for a user's individual body temperature and cold feeling according to an embodiment of the present disclosure;

5 is a schematic diagram of a partial configuration of a decision tree model for a user's individual body temperature and cold feeling according to yet another embodiment of the present disclosure;

6 is a schematic diagram of a partial configuration of a decision tree model for a user's individual body temperature and cold feeling according to still another embodiment of the present disclosure;

7 is a schematic diagram of a partial configuration of a decision tree model for a user's individual body temperature and cold feeling according to still another embodiment of the present disclosure;

FIG. 8 is a flowchart of the overall operation logic of the comfort control of the air conditioner according to one embodiment of the present disclosure;

FIG. 9 is a flow chart of running an individual comfort mode of a user according to an embodiment of the present disclosure;

10 is a schematic diagram of an addressing process in a cooling mode according to an embodiment of the present disclosure;

11 is a schematic diagram of an addressing process in a heating mode according to an embodiment of the present disclosure;

FIG. 12 is a flowchart of a control method of a TMS comfort mode according to an embodiment of the present disclosure;

13 is a schematic diagram of a humidity change curve according to an embodiment of the present disclosure;

14 is a method for controlling the comfort of an indoor fan when the operating mode of the air conditioner is the cooling mode according to one embodiment of the present disclosure.

Detailed ways

In order to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, which are for reference only and are not intended to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, numerous details are provided to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawings. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

The air conditioner in the present disclosure performs a refrigeration cycle of the air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to air that has been conditioned and heat-exchanged. As shown in FIG. 1 , it is a schematic diagram of a refrigeration cycle system of an air conditioner according to an embodiment of the present disclosure.

The compressor compresses the refrigerant gas in a high temperature and high pressure state and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and heat is released to the surrounding environment through the condensation process.

The expansion valve expands the high-temperature and high-pressure liquid-phase refrigerant condensed in the condenser into a low-pressure liquid-phase refrigerant. The evaporator evaporates the refrigerant expanded in the expansion valve and returns the refrigerant gas in a low temperature and low pressure state to the compressor. The evaporator can achieve the cooling effect by using the latent heat of evaporation of the refrigerant to exchange heat with the material to be cooled. Throughout the cycle, the air conditioner regulates the temperature of the indoor space.

The outdoor unit of the air conditioner refers to the part of the refrigeration cycle including the compressor and the outdoor heat exchanger, the indoor unit of the air conditioner includes the indoor heat exchanger, and the expansion valve may be provided in the indoor unit or the outdoor unit.

Indoor heat exchangers and outdoor heat exchangers are used as condensers or evaporators. When the indoor heat exchanger is used as a condenser, the air conditioner is used as a heater in a heating mode, and when the indoor heat exchanger is used as an evaporator, the air conditioner is used as a cooler in a cooling mode.

In order to improve the comfort of individual users, the embodiments of the present disclosure improve the performance of the air conditioner, and propose an air conditioner and a control method thereof, which can meet the comfort requirements of different individual users.

An air conditioner according to an embodiment of the present disclosure is described below with reference to FIGS. 2 to 14 .

As shown in FIG. 2 , which is a block diagram of an air conditioner according to an embodiment of the present disclosure, the air conditioner 1 in the embodiment of the present disclosure includes a human body temperature detection device 10 , an indoor temperature detection device 20 and a controller 30 , and of course, also includes other The air conditioner system components are, for example, the refrigerant circulation system shown in FIG. 1 .

Among them, the human body temperature detection device 10 is used to detect the face temperature and hand temperature of the target user. In an embodiment, the human body temperature detection apparatus 10 may use an infrared detection device such as an infrared camera to collect the temperature of the exposed part of the target user, such as face temperature and hand temperature, and the face temperature may include forehead temperature, eye temperature, nose temperature and cheek temperature The temperature of at least one part of the temperature.

The indoor temperature detection device 20 is used to detect the indoor ambient temperature. Specifically, a temperature sensor may be set on the indoor unit casing to collect the indoor air temperature, that is, the indoor ambient temperature, or a temperature sensor may be set at other indoor locations, or an auxiliary device such as an intelligent robot may detect the indoor ambient temperature, and the collected indoor temperature The data of the ambient temperature is sent to the controller of the air conditioner.

The controller 30 is connected to the temperature acquisition device, and the controller 30 can pre-store a decision tree model for the user's individual body temperature and cold sensation. The model is pre-trained, generated, detected and stored in the controller. Take this model.

The following describes the decision tree model of the user's individual body temperature and cold feeling.

In the embodiment of the present disclosure, the decision tree model for the user's individual body temperature and coldness is a decision tree for the user's individual body temperature and coldness, which is established based on human physiological parameters and environmental parameters through big data artificial intelligence technology for different thermal comfort requirements of individual users. The sensory prediction and recognition model can self-learn the change rules of the user's individual body temperature and coldness, accurately identify the user's individual thermal comfort needs, and carry out personalized thermal comfort control to meet the differentiated and personalized thermal comfort control requirements of different users.

As shown in FIG. 3 , a modeling process for establishing a decision tree model for a user's individual body temperature and cold sensation is based on the artificial intelligence technology based on big data according to an embodiment of the present disclosure.

Specifically, first, data collection is carried out. Training data and tests can be collected in the laboratory through infrared equipment. For example, the skin temperature of different groups of people including the elderly, children, men, and women in different seasons, such as forehead temperature, eye temperature, cheek temperature, etc., can be collected. Temperature, nose temperature, hand temperature, etc. It is understandable that different groups of people can reflect different human thermal sensations, metabolic rates, clothing thermal resistance and environmental conditions in different seasons.

Secondly, model training is performed, and the training data model is used for model screening and debugging optimization. Specifically, the training data is input into the initial model, and then the initial model is debugged and optimized according to the model output result, so that the model output data can be closer to the real situation.

Again, generate the model. Specifically, the optimal model output for training is selected.

Finally, the model is predicted, and the model predicts the test data to obtain the model accuracy. For example, in the embodiment of the present disclosure, the accuracy of the adopted decision tree model for the user's individual body temperature and coldness can reach more than 80%.

In the embodiment, the decision tree model of the user's individual body temperature and cold feeling that reaches the expectation may be stored in the storage unit of the controller 30 of the air conditioner 1 in advance. At least eight layers of temperature decision condition sets are configured in the decision tree model for user's individual body temperature and cold sensation in the embodiment of the present disclosure, and at least eight layers of temperature decision condition sets constitute a plurality of temperature decision branches, wherein the first layer of temperature decision condition sets includes: The decision condition based on the hand temperature, the second layer temperature decision condition set includes: the decision condition based on the indoor ambient temperature, the third layer temperature decision condition includes: the average temperature of the face and the hand The decision-making conditions based on the temperature of the body, the fourth-layer temperature decision-making conditions include: the decision-making conditions based on the indoor ambient temperature, the hand temperature and the average temperature of the face, and the fifth-layer temperature decision-making conditions include: all the The decision-making conditions based on the average temperature of the face and the indoor ambient temperature, the sixth-layer temperature decision-making conditions include: decision-making conditions based on the indoor ambient temperature, the average temperature of the face, and the temperature of the hand, and the seventh The layer temperature decision conditions include: decision conditions based on the indoor ambient temperature, the hand temperature and the average face temperature, and the eighth layer temperature decision conditions include: the hand temperature, the average face temperature and the indoor ambient temperature as the basis for decision-making conditions. For example, FIGS. 4-7 are schematic diagrams of parts of a decision tree model for user's individual body temperature and cold sensation according to an embodiment of the present disclosure. The model shape is similar to a tree shape, and the left branch represents the judgment as true, and the right branch represents the judgment as If false, each time a series of judgments are made until the fork is no longer, the final result is output. In some embodiments, the decision tree model for the user's individual body temperature and cold feeling may include at least eight temperature decision condition sets and fifty-three temperature decision branches composed of at least eight temperature decision condition sets, and each temperature decision branch may have the same or different temperature decision conditions. Among them, each branch of the model performs an independent judgment of temperature and coldness, and each temperature judgment branch can output the corresponding prediction result of temperature and coldness. It can be -1 (cold), 0 (neutral), or 1 (hot). Therefore, the user's current temperature and cold state can be determined according to the output value of the user's individual body temperature and coldness decision tree model.

It can be understood that the decision tree model for the user's individual body temperature and cold feeling shown in FIGS. 4-7 is only an example of a model in the embodiment of the present disclosure, and other suitable and suitable models can also be adopted based on the results of model training optimization and testing. decision tree model.

Specifically, in practical applications, due to the setting position of the human body temperature detection device 10 or the position of the user's human body, the problem that the temperature of the set test point cannot be accurately collected often occurs. Therefore, in the embodiment of the present disclosure, the controller 30 obtains the face The average temperature of the face of the temperature can avoid the situation that a single test point cannot collect data, which is more practical and the collected data is more accurate.

Further, in the embodiment of the present disclosure, it is not only considered that the user's individual face temperature can reflect the user's current feeling of warmth and coldness, but also that the indoor ambient temperature will also affect the user's warm and cold experience, and the face and hands are exposed, but both are exposed. Therefore, considering the average face temperature, hand temperature and indoor ambient temperature comprehensively, the air conditioner 1 inputs the average face temperature, hand temperature and indoor ambient temperature into the decision tree model of the user's individual body temperature and coldness, according to the user's individual body temperature The output value of the cold feeling decision tree model determines the warm and cold feeling state of the target user, adjusts the currently set target temperature according to the warm and cold feeling state, and controls the operation of the air conditioner according to the adjusted target temperature, so as to satisfy the individual warm and cold feeling of the target user. Comfort, improve the individualized and differentiated needs of individual users, and improve the comfort of air conditioners.

The currently set target temperature may be the temperature set by the user through the control terminal of the air conditioner, such as a remote control, a wired controller, or an air conditioner APP loaded on a mobile smart device when the air conditioner is activated, or the air conditioner when the user activates the individual comfort mode of the user. The current temperature is not specifically limited here.

In the embodiment of the present disclosure, the face temperature may include forehead temperature, eye temperature, nose temperature, and cheek temperature, and of course, may also include one or a combination of them. Considering that the temperature of different parts of the face also deviates and sometimes the temperature of some parts may not be collected, when running the user's individual comfort mode, the controller 30 records the target user's forehead temperature, eye temperature, nose temperature and cheek temperature within a preset period of time. Temperature, calculates the average forehead temperature, the average eye temperature, the average nose temperature, and the average cheek temperature within a preset time period, and weights the average forehead temperature, the average eye temperature, the average nose temperature, and the average cheek temperature Calculated to obtain the average temperature of the face. Among them, the weight of the average forehead temperature > the weight of the average eye temperature > the weight of the average nose temperature > the weight of the average cheek temperature.

For example, in the embodiment, the weighting formula used for the average temperature of the face can be obtained through the multiple linear regression of the above collected data. For example, the formula is as follows:

T _face =0.3347×T _forehead +0.3113×T _eyes +0.1754×T _nose +0.1696×T _cheek +0.1881;

Among them, T _face is the average face temperature, T _forehead is the forehead temperature, T _eye is the eye temperature, T _nose is the nose temperature, and T _cheek is the cheek temperature.

Of course, the above is one of a weighting formula for obtaining the average facial temperature of the present disclosure, and other deformation formulas based on this are also within the scope of the present disclosure.

The air conditioner 1 of the embodiment of the present disclosure adjusts the target temperature by adopting the decision tree model of user's individual body temperature and cold feeling established based on big data and artificial intelligence technology, which can make up for the deficiency that the PMV prediction comfort model based on the general population weakens individual differences, Therefore, the air conditioner 1 can not only meet the comfort requirements of the general population, but also realize the individualized comfort requirements of a single family user.

Specifically, when the air conditioner 1 operates in the user's individual comfort mode, for example, when there is only one person in the room, the human body temperature detection device 10 collects the face temperature and hand temperature of the target user in real time, and the indoor temperature detection device 20 collects the indoor ambient temperature in real time, The controller 30 receives the temperature data, and invokes the decision tree model for the user's individual body temperature and coldness, and compares the average temperature of the face, the hand temperature, and the indoor ambient temperature with the temperature of each layer in the multiple temperature judgment branches of the user's individual body temperature and coldness decision tree model. The decision conditions are compared to determine the target temperature determination branch, in which each temperature determination branch in the model is executed independently, and the output value of the target temperature determination branch corresponding to the user's individual body temperature and coldness decision tree model is obtained, and the temperature corresponding to the output value is determined. The sensory state is used as the target user's sense of warmth and coldness. For example, the output value is -1, which means the user is cold; the output value is 0, which means the user is neither cold nor hot, that is, the neutral state; the output value is 1, which means the user is warmer. Then, the target temperature is adjusted according to the user's current feeling of warmth and cold, and the compressor frequency, fan speed, and direction of the air guide bar of the air conditioner are adjusted according to the adjusted target temperature, so as to improve the user's comfort and meet the user's personalized comfort. need.

The following describes the process of the controller identifying the user's feeling of warmth and coldness with reference to the decision tree model of the user's individual feeling of warmth and coldness shown in FIGS. 4-7 .

After the user activates the user's individual comfort model, the controller 30 obtains the average face temperature represented by T _face , the hand temperature represented by T _hand, and the indoor ambient temperature represented by T _room , and input the T _face , T _hand and T _room into the user's An individual decision tree model for body temperature and coldness, such as the tree model described in Figure 4-7, compares the temperature value with the temperature decision conditions in the model, and each temperature decision branch is executed independently until the output value of the model is obtained, and based on the The output value determines the user's current feeling of warmth and coldness.

As shown in FIGS. 4-7 , each temperature determination branch will be described. In the decision tree model of the user's individual body temperature and cold feeling in the embodiment of the present disclosure, the hand temperature is the temperature decision condition of the first layer, and the indoor ambient temperature is the temperature decision condition of the first layer. The temperature decision conditions of the second layer and the different branches going down are identified with different temperature decision conditions. Among them, in the embodiment, in the decision tree model of the user's individual body temperature and coldness, the average face temperature, hand temperature and indoor ambient temperature have different temperatures in different decision conditions, for example, the threshold of each decision condition of the average face temperature is The value between 33.20℃-37℃, the threshold value of each decision condition of hand temperature is between 32.95℃-36.55℃, the threshold value of each decision condition of indoor ambient temperature is between 22.25℃-30.85℃ The value of , and the temperature change of the same part can be in the range of 0.1℃-0.5℃, which is more precise, and the recognition of the warm and cold state is more accurate.

In some embodiments, as shown in FIG. 4 , the controller 30 is configured to: determine whether the _hand temperature satisfies the Thand≤Thand _{setting 1} ; if it does not satisfy _{the Thand≤Thand setting 1} , then enter ① process, as shown in Figure 5 for details. If T _{hand≤Thand setting 1} is satisfied, it is further judged whether the indoor ambient temperature T indoor≤T _{indoor setting 1} is satisfied; if T room≤T _{indoor setting 1} is satisfied, it is further judged whether the Average _face temperature T face≤T _{face setting 1} ; if T face≤T _{face setting 1} is not satisfied, then determine that the target temperature judgment branch is the first temperature judgment branch, and obtain the decision tree model of the user's individual body temperature and cold feeling The output value corresponding to the first temperature determination branch is a neutral output value. For example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current setting can be maintained. Set the target temperature, that is, the air conditioner can currently meet the individual comfort needs of the user.

If T face≤T _{face setting 1} is satisfied, then it is further judged whether the indoor ambient temperature T indoor≤T _{indoor setting 2} is satisfied, wherein T _{indoor setting 2} <T _{indoor setting 1} ; if T _indoor setting≤T is satisfied _{Indoor setting 2} , determine that the target temperature determination branch is the second temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the output value of the second temperature determination branch. The output value is a neutral output value, for example, the output is 0 , the target user's warm and cold state is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user's individual comfort needs.

If T indoor≤T _{indoor setting 2} is not satisfied, then further judge whether the average temperature of the _face T face≤T _{face setting 2} is satisfied, wherein T _{face setting 2} <T _{face setting 1} ; if T _face setting≤T face setting 1 is satisfied; T _{face setting 2} , then further determine whether the indoor ambient temperature T indoor≤T _{indoor setting 3} is satisfied, wherein T _{indoor setting 2} <T _{indoor setting 3} ; if it does not satisfy T indoor≤T _{indoor setting 3} , then it is determined that the target temperature determination branch is the third temperature determination branch, and the output value corresponding to the third temperature determination branch of the user's individual body temperature and coldness decision tree model is obtained as a partial heat output value. The user's sense of warmth and coldness is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T indoor≤T _{indoor setting 3} is satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 4} is satisfied, wherein T _{indoor setting 4} <T _{indoor setting 3} ; if T _indoor setting≤T is satisfied _{Indoor setting 4} , it is determined that the target temperature determination branch is the fourth temperature determination branch, and the output value corresponding to the fourth temperature determination branch of the user's individual body temperature and coldness decision tree model is obtained as a partial heat output value, for example, the output is 1, the target user's warm and cold feeling state is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T indoor≤T _{indoor setting 4} is not satisfied, the target temperature determination branch is determined as the fifth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fifth temperature determination branch is obtained as For example, if the output value is slightly cold, the output is -1, and the warm-cold feeling state of the target user is cold. That is, the user currently feels that the temperature is low, and the currently set target temperature is increased to increase the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 4 , the controller 30 is further configured to: if T face≤T _{face setting 2} is not satisfied, further determine whether the average face temperature T _face ≤ T _{face setting 3} is satisfied, Wherein, T- _{face setting 2} <T- _{face setting 3} ; if T-face≤T- _{face setting 3} is satisfied, then it is further judged whether the hand temperature T _- hand≤T _{-hand setting 2} is satisfied, wherein T- _hand setting 2 _{Part setting 2} <T _{hand setting 1} ; if T hand≤T _{hand setting 2} is not satisfied, then it is determined that the target temperature judgment branch is the sixth temperature judgment branch to obtain the user's individual body temperature and cold feeling decision The output value of the tree model corresponding to the sixth temperature determination branch is a neutral output value. For example, if the output is 0, then the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, it can be maintained. The target temperature is currently set, that is, the air conditioner can currently meet the individual comfort requirements of the user.

If Thand≤Thandset2 is satisfied, further determine whether the _hand temperature _{Thand≤Thandset3 is} satisfied _, where _Thandset3 <_Thandset2; If T _{hand≤Thand setting 3} is satisfied, the target temperature determination branch is determined as the seventh temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the seventh temperature determination branch is obtained If the output value is colder, for example, if the output is -1, the temperature and coldness of the target user is colder. That is, the user currently feels that the temperature is low, and the currently set target temperature is increased to increase the user's body temperature and improve comfort.

If T _{hand≤Thand setting 3} is not satisfied, determine the target temperature determination branch as the eighth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the eighth temperature determination branch If the value is a cold output value, for example, if the output is -1, the target user's warm and cold feeling state is cold. That is, the user currently feels that the temperature is low, and the currently set target temperature is increased to increase the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 4 , the controller 30 is further configured to: if T _face ≤ T _{face setting 3} is not satisfied, further determine whether the average face temperature T _face ≤ T _{face setting 4} is satisfied, Wherein, T- _{face setting 3} <T- _{face setting 4} ; if T-face≤T- _{face setting 4} is satisfied, it is further judged whether the hand temperature T _- hand≤T _{-hand setting 4} is satisfied, wherein T- _hand setting 4 _{Part setting 2} <T _{hand setting 4} ; if satisfying T hand≤T _{hand setting 4} , then it is determined that the target temperature judgment branch is the ninth temperature judgment branch, and the decision tree for the user's individual body temperature and coldness is obtained If the output value of the model corresponding to the ninth temperature determination branch is a cold output value, for example, if the output is -1, the warm and cold sense state of the target user is cold. That is, the user currently feels that the temperature is low, and the currently set target temperature is increased to increase the user's body temperature and improve comfort.

If _{Thand≤Thand setting 4} is not satisfied, determine the target temperature determination branch as the tenth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the tenth temperature determination branch The value is a neutral output value. For example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the User's individual comfort needs.

In some embodiments, as shown in FIG. 4 , the controller 30 is further configured to: if T _face ≤ T _{face setting 4} is not satisfied, further determine whether the average face temperature T _face ≤ T _{face setting 5} is satisfied, Wherein, T _{face setting 4} ＜T _{face setting 5} ; if satisfying T face≤T _{face setting 5} , then it is determined that the target temperature judgment branch is the eleventh temperature judgment branch, and the decision of obtaining the user's individual body temperature and coldness The output value of the tree model corresponding to the eleventh temperature determination branch is a cold output value, for example, if the output is -1, the temperature and cold sensation state of the target user is cold. That is, the user currently feels that the temperature is low, and the currently set target temperature is increased to increase the user's body temperature and improve comfort.

If T face≤T _{face setting 5} is not satisfied, the target temperature determination branch is determined as the twelfth temperature determination branch, and the output of the user's individual body temperature and coldness decision tree model corresponding to the twelfth temperature determination branch is obtained If the value is a cold output value, for example, if the output is -1, the target user's warm and cold feeling state is cold. That is, the user currently feels that the temperature is low, and the currently set target temperature is increased to increase the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 4 , the controller 30 is configured to: if T indoor≤T _{indoor setting 1} is not satisfied, further determine whether the average _face temperature T face≤T _{face setting 6} is satisfied, Wherein, T _{face setting 1} <T _{face setting 6} ; if T face≤T _{face setting 6} is not satisfied, then determine that the target temperature determination branch is the thirteenth temperature determination branch, and obtain the user's individual body temperature and coldness The output value of the decision tree model corresponding to the thirteenth temperature determination branch is a neutral output value. For example, if the output is 0, the temperature and coldness state of the target user is neutral; that is, the user currently feels neither cold nor hot, at this time, The current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort requirements of the user.

If T face≤T _{face setting 6} is satisfied, then it is further judged whether the hand temperature T hand≤T _{hand setting 5} is satisfied, wherein T _{hand setting 5} <T _{hand setting 1} ; if it is satisfied _{Thand≤Thandset 5} , then the target temperature determination branch is determined as the fourteenth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fourteenth temperature determination branch is obtained If the output value is neutral, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the user's needs. individual comfort needs.

If it does not satisfy T _{hand≤Thand setting 5} , then further judge whether the average temperature of the _face T face≤T _{face setting 7} is satisfied, wherein T _{face setting 7} ＜T _{face setting 6} ; if it satisfies T face≤T _{face setting 7} , then the target temperature determination branch is determined to be the fifteenth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fifteenth temperature determination branch is neutral For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the individual comfort of the user need.

If T face≤T _{face setting 7} is not satisfied, then further judge whether the hand temperature Thand≤Thand _{setting 6} is satisfied, wherein T _{hand setting 5} <T _{hand setting 6} ; if If T _{hand≤Thand setting 6} is satisfied, then the target temperature determination branch is determined to be the sixteenth temperature determination branch, and the output of the user's individual body temperature and coldness decision tree model corresponding to the sixteenth temperature determination branch is obtained If the value is a partial heat output value, for example, if the output is 1, the warm and cold feeling state of the target user is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T _{hand≤Thand setting 6} is not satisfied, determine the target temperature determination branch as the seventeenth temperature determination branch, and obtain the user's body temperature and coldness decision tree model corresponding to the seventeenth temperature determination branch If the output value is a neutral output value, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner is currently It can meet the individual comfort needs of users.

In some embodiments, as shown in FIG. 5 , the controller 30 is further configured to: if T _{hand≤Thand setting 1} is not satisfied, execute the process ①, which specifically includes: further judging whether the indoor ambient temperature is satisfied T indoor≤T _{indoor setting 5} , wherein, T _{indoor setting 1} <T _{indoor setting 5} ; if T indoor≤T _{indoor setting 5} is not satisfied, then enter ② process, as shown in FIG. 6 for details. If T indoor≤T _{indoor setting 5} is satisfied, then it is further judged whether the hand temperature T hand≤T _{hand setting 7} is satisfied, wherein T _{hand setting 1} <T _{hand setting 7} ; if it is satisfied T _hand ≤ T _{hand setting 7} , then the target temperature determination branch is determined as the eighteenth temperature determination branch, and the output value of the user's individual body temperature and cold feeling decision tree model corresponding to the eighteenth temperature determination branch is obtained If the output value is neutral, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the user's needs. individual comfort needs.

If T _{hand≤Thand setting 7} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 6} is satisfied, wherein T _{indoor setting 6} <T _{indoor setting 5} ; if T indoor setting 6 <T indoor setting 5 is satisfied; _Indoor ≤ T _{indoor setting 6} , then it is determined that the target temperature determination branch is the nineteenth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the nineteenth temperature determination branch is neutral. For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the individual comfort of the user need.

If T indoor≤T _{indoor setting 6} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 7} is satisfied, wherein T _{indoor setting 6} <T _{indoor setting 7} ; if it does not satisfy T _indoor setting 7; ≤T _{indoor setting 7} , then it is determined that the target temperature determination branch is the twentieth temperature determination branch, and the output value of the twentieth temperature determination branch corresponding to the user's individual body temperature and coldness decision tree model is obtained as a neutral output For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user's individual comfort needs. .

If T indoor≤T _{indoor setting 7} is satisfied, then it is further judged whether the average _face temperature T face≤T _{face setting 8} is satisfied, wherein T _{face setting 1} <T _{face setting 8} ; if T _face setting≤T is satisfied The _{face setting is 8} , then the target temperature determination branch is determined to be the twenty-first temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the twenty-first temperature determination branch is a partial heat output For example, if the output is 1, the target user's sense of warmth and coldness is too hot. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T face≤T _{face setting 8} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 8} is satisfied, wherein T _{indoor setting 8} <T _{indoor setting 7} ; if T _indoor setting≤T indoor setting 7 is satisfied; T _{indoor setting is 8} , then it is determined that the target temperature determination branch is the twenty-second temperature determination branch, and the output value of the twenty-second temperature determination branch corresponding to the decision tree model for obtaining the user's individual body temperature and coldness is neutral. For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the individual comfort of the user need.

If it does not satisfy T indoor≤T _{indoor setting 8} , then further judge whether the average temperature of the _face T face≤T _{face setting 9} is satisfied, wherein T _{face setting 8} <T _{face setting 9} ; if it satisfies T _face≤T face setting 9 T _{face is set to 9} , then it is determined that the target temperature determination branch is the twenty-third temperature determination branch, and the output value of the decision tree model for obtaining the user's individual body temperature and cold feeling corresponding to the twenty-third temperature determination branch is neutral For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the individual comfort of the user need.

If T face≤T _{face setting 9} is not satisfied, determine the target temperature determination branch as the twenty-fourth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the twenty-fourth temperature determination branch If the output value is a neutral output value, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner is currently It can meet the individual comfort needs of users.

In some embodiments, as shown in FIG. 6 , the controller 30 is further configured to: if T indoor≤T _{indoor setting 5} is not satisfied, execute the process ②, which specifically includes: further judging whether the hand temperature T _hand temperature is satisfied _{Part≤T hand setting 8} , wherein, T _{hand setting 7} <T _{hand setting 8} ; if it does not satisfy T hand≤T _{hand setting 8} , then enter ③ process, specifically referring to shown in Figure 7 . If T _{hand≤Thand setting 8} is satisfied, then it is further judged whether the average temperature of the _face T face≤T _{face setting 10} is satisfied, wherein T _{face setting 10} <T _{face setting 8} ; if T _face setting 8 is satisfied; ≤T _{face setting 10} , then it is determined that the target temperature determination branch is the twenty-fifth temperature determination branch, and the output value corresponding to the twenty-fifth temperature determination branch of the user's individual body temperature and coldness decision tree model is obtained as medium. For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the user's individual comfort. sexual needs.

If it does not satisfy T face≤T _{face setting 10} , then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 9} is satisfied, wherein T _{indoor setting 5} <T _{indoor setting 9} ; if it satisfies T indoor≤T _indoor setting 9; T _{indoor setting 9} , then further judge whether the average temperature of the _face T face≤T _{face setting 11} is satisfied, wherein T _{face setting 10} <T _{face setting 11} ; if T _face setting≤T _{face setting 11 is} satisfied, Then it is further judged whether the average _face temperature T face≤T _{face setting 12} is satisfied, wherein T _{face setting 12} <T _{face setting 11} ; if T _face setting≤T _{face setting 12} is satisfied, then the target temperature is determined The determination branch is the twenty-sixth temperature determination branch, and the output value corresponding to the twenty-sixth temperature determination branch of the decision tree model for obtaining the user's individual body temperature and coldness is a neutral output value. For example, if the output is 0, then the target user's temperature The coolness state is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user's individual comfort needs.

If it does not satisfy T face≤T _{face setting 12} , then further judge whether it satisfies the indoor ambient temperature T indoor≤T _{indoor setting 10} , wherein T _{indoor setting 10} <T _{indoor setting 9} ; if it satisfies T indoor≤T _indoor setting 9; If T _{indoor is set to 10} , then it is determined that the target temperature determination branch is the twenty-seventh temperature determination branch, and the output value of the twenty-seventh temperature determination branch corresponding to the decision tree model for obtaining the user's individual body temperature and coldness For example, if the output value is 1, the target user's warm-cold feeling state is warmer. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T indoor≤T _{indoor setting of 10} is not satisfied, determine the target temperature determination branch as the twenty-eighth temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the twenty-eighth temperature determination branch The output value of is a partial heat output value. For example, if the output is 1, the target user's warm and cold feeling state is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 6 , the controller 30 is further configured to: if T face≤T _{face setting 11} is not satisfied, further determine whether the indoor ambient temperature T indoor≤T _{indoor setting 11} is satisfied, Wherein, T _{indoor setting 11} <T _{indoor setting 10} ; if T indoor≤T _{indoor setting 11} is not satisfied, then it is determined that the target temperature determination branch is the twenty-ninth temperature determination branch, and the individual body temperature of the user is obtained. The output value of the sensory decision tree model corresponding to the twenty-ninth temperature determination branch is a neutral output value. For example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, this , the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort requirements of the user.

If T indoor≤T _{indoor setting 11} is satisfied, then it is further judged whether the hand temperature T hand≤T _{hand setting 9} is satisfied, wherein T _{hand setting 9} <T _{hand setting 8} ; if it is satisfied _{Thand≤Thandset 9} , then the target temperature determination branch is determined to be the thirtieth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the thirtieth temperature determination branch is obtained If the output value is a partial heat output value, for example, if the output is 1, the warm and cold feeling state of the target user is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T hand≤T _{hand setting 9} is not satisfied, determine the target temperature determination branch as the thirty-first temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-first temperature The output value of the determination branch is a neutral output value. For example, if the output is 0, the temperature and coldness state of the target user is neutral; that is, the user currently feels neither cold nor hot. At this time, the currently set target temperature can be maintained, that is, the air conditioner The device can currently meet the individual comfort needs of users.

In some embodiments, as shown in FIG. 6 , the controller 30 is configured to: if T indoor≤T _{indoor setting 9} is not satisfied, further determine whether the average _face temperature T face≤T _{face setting 13} is satisfied, Wherein, T- _{face setting 11} <T- _{face setting 13} ; if T-face≤T- _{face setting 13} is not satisfied, then it is determined that the target temperature determination branch is the thirty-second temperature determination branch, and the user's individual body temperature is obtained. If the output value of the sensory decision tree model corresponding to the thirty-second temperature determination branch is a partial heat output value, for example, if the output is 1, the temperature and cold feeling state of the target user is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T face≤T _{face setting 13} is satisfied, then it is further judged whether the _hand temperature Thand≤Thand _{setting 10} is satisfied, wherein Thand _{setting 10} <Thand _{setting 8} ; _{Thand≤Thandset10} , then further determine whether the _hand temperature _{Thand≤Thandset11 is} satisfied, wherein _Thandset11 <_Thandset10; T _hand ≤ T _{hand setting 11} , then the target temperature determination branch is determined as the thirty-third temperature determination branch, and the user's individual body temperature and cold feeling decision tree model corresponding to the thirty-third temperature determination branch is obtained. If the output value is a partial heat output value, for example, if the output is 1, the warm and cold feeling state of the target user is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T hand≤T _{hand setting 11} is not satisfied, determine the target temperature determination branch as the thirty-fourth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-fourth temperature If the output value of the determination branch is a partial heat output value, for example, if the output is 1, the warm-cool feeling state of the target user is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 6 , the controller 30 is configured to: if Thand≤Thand _{setting 10} is not satisfied, further determine whether the _hand temperature _Thand≤T is satisfied _{Hand setting 12} , wherein T _{hand setting 10} <T _{hand setting 12} ; if T hand≤T _{hand setting 12} is satisfied, then it is determined that the target temperature judgment branch is the thirty-fifth temperature judgment branch to obtain the output value of the user's individual body temperature and cold feeling decision tree model corresponding to the thirty-fifth temperature judgment branch, the output value is a neutral output value. The current feeling is neither cold nor hot, and at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort requirements of the user.

If _{Thand≤Thand setting 12} is not satisfied, determine the target temperature determination branch as the thirty-sixth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-sixth temperature If the output value of the determination branch is a partial heat output value, for example, if the output is 1, the warm-cool feeling state of the target user is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 7 , the controller 30 is further configured to: if T _{hand≤Thand setting 8} is not satisfied, execute the process ③, which specifically includes: further judging whether the hand temperature is satisfied T hand≤T _{hand setting 13} , wherein T _{hand setting 8} <T _{hand setting 13} ; if T hand≤T _{hand setting 13} is satisfied, then further determine whether the average temperature of the face is satisfied T-face≤T- _{face setting 14} , wherein T- _{face setting 11} <T- _{face setting 14} ; if T-face≤T- _{face setting 14} is satisfied, further determine whether the _hand temperature _{Thand≤Thand} is satisfied _{Part setting 14} , wherein T _{hand setting 14} <T _{hand setting 13} ; if T _hand setting ≤ T _{hand setting 14} is satisfied, then further judge whether the indoor ambient temperature T _indoor ≤ T _{indoor setting} is satisfied Determine ₁₂ , where T _{indoor setting 5} < T _{indoor setting 12} ; if T indoor≤T _{indoor setting 12} is not satisfied, then determine that the target temperature determination branch is the thirty-seventh temperature determination branch, and obtain the user The output value of each decision tree model for body temperature and coldness corresponding to the thirty-seventh temperature determination branch is a neutral output value. For example, if the output is 0, the temperature and coldness state of the target user is neutral; that is, the user currently feels neither cold nor At this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort requirements of the user.

If it satisfies T indoor≤T _{indoor setting 12} , then further judge whether it satisfies the average temperature of the _face T face≤T _{face setting 15} , wherein T _{face setting 15} <T _{face setting 14} ; if it satisfies T _{face≤T Face setting 15} , then determine that the target temperature determination branch is the thirty-eighth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the output value of the thirty-eighth temperature determination branch. For example, if the output is 1, the target user's sense of warmth and coldness is too hot. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T face≤T _{face setting 15} is not satisfied, then determine the target temperature determination branch as the thirty-ninth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-ninth temperature determination branch If the output value is a neutral output value, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner is currently It can meet the individual comfort needs of users.

In some embodiments, as shown in FIG. 7 , the controller 30 is configured to: if _{Thand≤Thand setting 14} is not satisfied, further determine whether the _indoor ambient temperature _{Tindoor≤Tindoor} is satisfied _{Setting 13} , wherein T _{indoor setting 12} <T _{indoor setting 13} ; if T indoor≤T _{indoor setting 13} is not satisfied, then determine that the target temperature determination branch is the fortieth temperature determination branch, and obtain the user The output value of each decision tree model for body temperature and coldness corresponding to the fortieth temperature determination branch is a partial heat output value. For example, if the output is 1, the target user's warm and cold feeling state is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T indoor≤T _{indoor setting 13} is satisfied, then it is further judged whether the average _face temperature T face≤T _{face setting 16} is satisfied, where T _{face setting 15} <T _{face setting 16} ; if T _face setting≤T is satisfied _{Face setting 16} , then it is determined that the target temperature determination branch is the forty-first temperature determination branch, and the output value corresponding to the forty-first temperature determination branch of the user's individual body temperature and coldness decision tree model is obtained as a neutral output For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user's individual comfort needs. .

If T face≤T _{face setting 16} is not satisfied, determine the target temperature determination branch as the forty-second temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the forty-second temperature determination branch If the output value is a neutral output value, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner is currently It can meet the individual comfort needs of users.

In some embodiments, as shown in FIG. 7 , the controller 30 is configured to: if T face≤T _{face setting 14} is not satisfied, further determine whether the indoor ambient temperature T indoor≤T _{indoor setting} is satisfied ₁₄ , wherein, T _{indoor setting 12} <T _{indoor setting 14} ; if T _indoor ≤ T _{indoor setting 14} is satisfied, further determine whether the indoor ambient temperature T _indoor ≤ T _{indoor setting 15} is satisfied, wherein T _indoor setting 15 _{Setting 15} <T _{indoor setting 14} ; if satisfying T indoor≤T _{indoor setting 15} , then further determine whether the average _face temperature T face≤T _{face setting 17} is satisfied, wherein, T _{face setting 14} <T _{face Setting 17} ; if T face≤T _{face setting 17} is satisfied, then it is determined that the target temperature determination branch is the forty-third temperature determination branch, and the decision tree model for obtaining the user's individual body temperature and cold feeling corresponding to the forty-third If the output value of the temperature determination branch is a partial heat output value, for example, if the output is 1, the warm and cold feeling state of the target user is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T face≤T _{face setting 17} is not satisfied, then the target temperature determination branch is determined to be the forty-fourth temperature determination branch, and the user's body temperature and coldness decision tree model corresponding to the forty-fourth temperature determination branch is obtained The output value of is a partial heat output value. For example, if the output is 1, the target user's warm and cold feeling state is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 7 , the controller 30 is configured to: if T indoor≤T _{indoor setting 15} is not satisfied, further determine whether the average _face temperature T face≤T _{face setting 18} is satisfied, Wherein, T _{face setting 17} <T _{face setting 18} ; if T face≤T _{face setting 18} is satisfied, then determine that the target temperature determination branch is the forty-fifth temperature determination branch, and obtain the user's individual body temperature and coldness If the output value of the decision tree model corresponding to the forty-fifth temperature determination branch is a partial heat output value, for example, if the output is 1, the target user's warm and cold sense state is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T face≤T _{face setting 18} is not satisfied, determine the target temperature determination branch as the forty-sixth temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the forty-sixth temperature determination branch If the output value is a neutral output value, for example, if the output is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot. At this time, the current set target temperature can be maintained, that is, the air conditioner is currently It can meet the individual comfort needs of users.

In some embodiments, as shown in FIG. 7 , the controller 30 is configured to further determine whether the indoor ambient temperature T _indoor ≤ T _{indoor setting} is satisfied if T indoor≤T _{indoor setting 14} is not satisfied ₁₆ , wherein, T _{indoor setting 14} < T _{indoor setting 16} ; if T _indoor ≤ T _{indoor setting 16} is satisfied, the target temperature determination branch is determined to be the forty-seventh temperature determination branch, and the temperature of the user is obtained. The output value of the cold feeling decision tree model corresponding to the forty-seventh temperature determination branch is a partial heat output value. For example, if the output is 1, the temperature and cold feeling state of the target user is warm. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If it is less than T _indoor ≤ T _{indoor setting 16} , the target temperature determination branch is determined to be the forty-eighth temperature determination branch, and the user's body temperature and cold feeling decision tree model corresponding to the forty-eighth temperature determination branch is obtained. The output value of is a partial heat output value. For example, if the output is 1, the target user's warm and cold feeling state is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

In some embodiments, as shown in FIG. 7 , the controller 30 is configured to: if _{Thand≤Thand setting 13} is not satisfied, further determine whether the _indoor ambient temperature _{Tindoor≤Tindoor} is satisfied _{Setting 17} , wherein, the T _{indoor setting 5} < T _{indoor setting 17} ; if T indoor≤T _{indoor setting 17} is satisfied, then determine that the target temperature determination branch is the forty-ninth temperature determination branch, and obtain all The output value of the user's individual body temperature and coldness decision tree model corresponding to the forty-ninth temperature determination branch is a neutral output value. For example, if the output is 0, the target user's temperature and coldness state is neutral; that is, the user is not feeling cold at present. It is not hot, and at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.

If T indoor≤T _{indoor setting 17} is not satisfied, further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 18} is satisfied, wherein T _{indoor setting 17} <T _{indoor setting 18} ; if T indoor setting 18 is satisfied; _Indoor ≤ T _{indoor setting 18} , then it is determined that the target temperature determination branch is the fiftieth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fiftieth temperature determination branch is partial heat For example, if the output value is 1, the target user's warm-cold feeling state is warmer. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If it does not satisfy T indoor≤T _{indoor setting 18} , then further judge whether it satisfies the average temperature of the _face T face≤T _{face setting 19} , wherein T _{face setting 14} <T _{face setting 19} ; if it does not satisfy T _face setting ≤T _{face setting 19} , then it is determined that the target temperature determination branch is the fifty-first temperature determination branch, and the output value of the fifty-first temperature determination branch corresponding to the user's individual body temperature and coldness decision tree model is obtained. For example, if the output value is 0, the target user's sense of warmth and coldness is neutral; that is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently satisfy the user's individual comfort. sexual needs.

If T face≤T _{face setting 19} is satisfied, then it is further judged whether the average temperature of the _face T face≤T _{face setting 20} is satisfied, wherein T _{face setting 20} <T _{face setting 19} ; if T _face setting≤T face setting is satisfied _{Face setting 20} , determine that the target temperature determination branch is the fifty-second temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the output value of the fifty-second temperature determination branch. The partial heat output value For example, if the output is 1, the target user's sense of warmth and coldness is too hot. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

If T face≤T _{face setting 20 is} not satisfied, determine the target temperature determination branch as the fifty-third temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the fifty-third temperature determination branch If the output value is a partial heat output value, for example, if the output is 1, the warm and cold feeling state of the target user is partial heat. That is, if the user currently feels that the temperature is too high, the current set target temperature is lowered, so as to reduce the user's body temperature and improve comfort.

The above is the process of judging the user's temperature and cold state by using the decision tree model of the user's individual body temperature and cold feeling as shown in Figure 4-7. It is understandable that the process of identifying the user's individual body temperature and cold feeling in other models is also similar to the above process, but The hierarchy of the model, the temperature decision branches, and the temperature decision conditions for each node of each branch are different from the model of the present disclosure.

Further, in some embodiments, in order to improve the accuracy of identifying the user's current feeling of warmth and coldness based on the above decision tree model for the user's individual body temperature and coldness, the controller 30 is further configured to periodically The temperature and indoor ambient temperature are input into the decision tree model of the user's personal body temperature and coldness to obtain a preset number of output values output by the user's individual body temperature and coldness decision tree model, and the preset number of output values are counted and classified, and the output values will be included. The warm and cold feeling state corresponding to the output value in the most classification is used as the warm and cold feeling state of the target user. In this way, the recognition accuracy of the user's individual body temperature and coldness can be improved, and the model can also be further optimized by self-machine learning, further improving the accuracy of the recognition results, and forming a virtuous circle.

In some embodiments, the controller 30 is further configured to: the air conditioner 1 is in the heating mode, and it is determined that the warm-cooling state of the target user is too cold for a preset number of times, and the rotational speed of the indoor fan of the air conditioner is increased; In the heating mode, the target user's warm and cold feeling state is determined to be warm for the preset number of consecutive times, and the indoor fan speed of the air conditioner is reduced; the air conditioner is in the cooling mode, and the target user is determined for the consecutive preset times. If the temperature and cooling sensation state of the target user is too cold, reduce the rotational speed of the indoor fan of the air conditioner; if the air conditioner is in the cooling mode, if the temperature and cooling sensation state of the target user is determined to be too warm for the preset number of consecutive times, increase the rotational speed of the indoor fan of the air conditioner . For example, through the decision tree model of the user's individual body temperature and cold feeling, the controller performs three judgments to obtain independent judgment values (-1, 0, 1) for the temperature and cold feeling, and then makes statistics, and the corresponding warm and cold feeling with the most statistics, namely It is the output value of the final temperature and cold feeling judgment.

For example, as shown in FIG. 8 , it is a flowchart of the overall operation logic of the comfort control of the air conditioner according to an embodiment of the present disclosure. Wherein, if the output of the controller 30 through the user's individual body temperature decision tree model is partial heat (1), the controller 30 sends a cooling signal to lower the temperature by 1°C on the basis of the existing set temperature. If the output of the decision tree model for cold feeling is cold (-1), the controller 30 sends a temperature rise signal to increase the temperature by 1°C on the basis of the existing set temperature. If the output of the controller 30 is neutral through the decision tree model of the user's individual body temperature (0), the controller 30 keeps the existing settings unchanged, and each judgment cycle is based on the feedback time of the air conditioner. If the temperature and cooling sensations are predicted to be cold (or hot) for three consecutive cycles, it is considered that the user has a strong sense of cold and heat, and the wind speed needs to be increased by one gear, otherwise the air-conditioning wind speed will remain unchanged according to the original setting.

In some embodiments, an embodiment of the second aspect of the present disclosure further provides a control method for an air conditioner, the control method can be executed by a controller of the air conditioner, and the control method includes: acquiring a face temperature and a hand temperature of a target user and the indoor ambient temperature; obtain the average facial temperature of the face temperature, and input the average facial temperature, hand temperature and indoor ambient temperature into the user's individual body temperature and coldness decision tree model, wherein the user's individual body temperature and coldness decision tree model is configured with At least eight layers of temperature decision condition sets, at least eight layers of temperature decision condition sets constitute a plurality of temperature decision branches, wherein the first layer of temperature decision condition sets includes: decision conditions based on the hand temperature, and the second layer of temperature decision conditions The condition set includes: decision-making conditions based on the indoor ambient temperature, the third-layer temperature decision-making conditions include: decision-making conditions based on the average temperature of the face and the hand temperature, and the fourth-layer temperature decision conditions include: The decision-making conditions based on the indoor ambient temperature, the hand temperature and the average temperature of the face, the fifth-layer temperature decision-making conditions include: the decision-making conditions based on the average temperature of the face and the indoor ambient temperature, The sixth layer of temperature decision-making conditions includes: decision-making conditions based on the indoor ambient temperature, the average face temperature and the hand temperature, and the seventh-layer temperature decision-making conditions include: the indoor ambient temperature, the hand temperature The decision-making conditions based on the temperature of the body and the average temperature of the face, the eighth-layer temperature decision-making conditions include: the decision-making conditions based on the temperature of the hand, the average temperature of the face, and the temperature of the indoor environment; The output value of the cold feeling decision tree model determines the warm and cold feeling state of the target user; adjusts the currently set target temperature according to the warm and cold feeling state, and controls the operation of the air conditioner according to the adjusted target temperature.

Of course, in the embodiment, the control method of the air conditioner in the embodiment of the present disclosure may also include other contents executed by the controller of the air conditioner, such as how to obtain the average temperature of the face, and how to use the decision tree model based on the user's individual body temperature To identify the user's current sense of warmth and coldness, refer to the above description, which will not be repeated here.

In the above, the present invention aims at the different thermal comfort needs of individual users, and uses artificial intelligence technology based on big data to establish a decision tree model for the user's individual body temperature and cold sensation, self-learning the change rules of the user's temperature and cold sensation, accurately identify the user's individual thermal comfort needs, and make individualized decisions. Thermal comfort control to meet the individual differentiated and personalized comfort control requirements of different users. At the same time, it makes up for the deficiency that the PMV prediction comfort model based on the general population weakens individual differences, so that the air conditioner 1 not only meets the comfort needs of the general population, but also can meet the individualized comfort needs of individual household users.

In the embodiment, the above is for an individual user, for example, there is only one user indoors, and the user selects the user's individual comfort mode, or, if the air conditioner 1 detects that there is only one user in the room and automatically activates the user's individual comfort mode, the air conditioner 1 can be implemented as described above. The user's individual comfort mode is executed as described in the example to improve the user's individual comfort. However, when there are many people in the room, the air conditioner 1 will operate the TMS (Thermalandhumidity Management System, heat and humidity management system) comfort mode based on the PMV prediction comfort model suitable for the general population.

In some embodiments, when the air conditioner 1 is running automatically, the indoor user detection function can be activated to detect how many people there are in the room. When there is one person, the individual user comfort mode can be automatically activated, and the TMS comfort mode can be activated when there are many people.

For the user's individual comfort mode, as shown in Fig. 9, when the air conditioner 1 is running, the user's individual comfort mode is activated, and the indoor temperature and humidity are collected, and then the controller 30 calculates the target temperature or receives the target temperature set by the user, and the controller 30 receives the target user Face temperature, hand temperature and indoor ambient temperature, and call the decision tree model of the user's personal body temperature and coldness, and then adjust the target temperature according to the model output value, and then control the air conditioner to run on its own based on the adjusted target temperature to meet the individual user's personalization Comfort needs, improve user comfort.

The TMS comfort mode based on the PMV predictive comfort model will be described below.

In some embodiments, the TMS comfort mode can effectively adjust the comfort of the air conditioner, and the cooling/heating comfort control method of the air conditioner effectively solves the technical problem of how the air conditioner controls the temperature index and the humidity index, and cools/controls the whole comfort. The thermal stage is divided into three stages: initial comfort stage + stable comfort stage + healthy comfort stage, which not only effectively meets people’s perfect experience of cooling comfort requirements, but also realizes the perfect combination of comfort and energy saving: the health and comfort stage, according to the thermal comfort of the human body. Adaptability features, the target set temperature is increased by 1°C, that is, Ts_section=Ts_shu+1°C, which achieves the purpose of both comfort and energy saving.

In an embodiment, the TMS comfort mode, firstly, depends on the temperature and humidity target value addressing, and the temperature and humidity addressing rule is based on the calculation of the expected average thermal sensation index value of the human body thermal sensation index PMV, and the "comfort temperature and humidity reference table ( The PMV value is within ±0.5)" as the benchmark table for the comfort control of the air conditioner. The air conditioner detects the outdoor ambient temperature Tout, the indoor ambient temperature Tin, and the indoor relative humidity Rh through sensors. Enter the corresponding temperature zone according to the obtained outer ring Tout, combine with the thermal resistance clo of the human body wearing clothing, and the metabolic rate M of the human body to obtain different temperature compensation values T, and determine the specific operation mode of the air conditioner (cooling/heating/air supply) . Then according to the comfort temperature and humidity reference table, take the obtained indoor relative humidity Rh as the pointer to address in the reference table, determine the target set temperature Ts_shu in the stable comfort stage, and the air conditioner operates with Ts_shu as the target set value.

In some embodiments, for the TMS comfort mode, the temperature and humidity addressing from the beginning always revolves around the PMV value six factors that affect human thermal sensation: environmental parameters (air temperature, air relative humidity, wind speed, average radiant temperature) and human parameters ( Human activity intensity, clothing thermal resistance) to address, with human comfort control as the core, compared to the current practice in the industry is mainly to design and control comfort air conditioners through a single temperature index, or use a specified single temperature index + specified The advantages of designing and controlling comfort air conditioners with a single humidity index are very obvious.

Table 1 below shows the names and meanings of each symbol in the description of TMS Comfort Mode.

Table 1

In some embodiments, when running the TMS comfort mode, the air conditioner detects the outer ring Tout, the inner ring Tin, and the indoor relative humidity Rh through self-configured sensors. Enter the corresponding divided temperature zone according to the obtained Tout, and determine the next specific operation mode (cooling/heating/air supply). Determine a new operating temperature zone every 2 hours according to the outer ring temperature Tout. If it is still in the original operating temperature zone, continue to maintain the original mode and stage operation; if it is in the new temperature zone, then combine the inner ring temperature Tin and indoor relative humidity Rh of the new temperature zone, interrupt the original operating mode, and enter a new specific sub-mode operation. Indoor sensor failure or overflow, and no humidity sensor, Rh defaults to 65%.

In some embodiments, addressing is performed according to the comfort temperature and humidity reference table, entering the corresponding temperature zone according to the acquired Tout, judging the mode to be entered, including cooling, heating, air supply, etc., and then according to the rules in different modes addressing, as follows.

Table 2 Comfort temperature and humidity benchmark table

Table 3 Temperature compensation value table

Outdoor ambient temperature Tout(℃) Clothing thermal resistance clo Human metabolic rate M Comfort temperature compensation value T_{complement (}℃) ＞24 (the fourth temperature zone) 0.5 1.2 0 >18, ≤24 (third temperature zone) 0.8 1.2 -2 >13, ≤18 (second temperature zone) 1.0 1.2 -3 ≤13 (first temperature zone) 1.0 1.2 -3

In some embodiments, when the air conditioner operates in the cooling mode, as shown in FIG. 10 , the addressing process is as follows:

Benchmark comfort table according to Table 3. If Rh﹤30% (the lower limit of the comfort humidity of the comfort table), the lowest temperature corresponding to Rh30% in the comfort table is _{Ts_initial} ( _{Ts_initial} = 24.5℃); if Rh﹥65% (the upper limit of the comfort humidity of the comfort table) , according to the lowest temperature corresponding to Rh65% in the comfort table as _{Ts_initial} ( _{Ts_initial} = 23.5℃); if 65%≥Rh≥30% (comfort table comfort humidity upper and lower limits), according to the comfort table corresponding to the closest humidity The lowest temperature is _{Ts_early} (for example, Rh=43%, the closest humidity in the comfort table is Rh=45%, then the lowest temperature corresponding to Rh=45% is _{Ts_early} =24℃). In the comfort table, the average value (25.25°C) of the sum of the comfortable humidity upper limit value (26.5°C) and the comfort humidity lower limit value (24°C) corresponding to Rh=50% is taken as _{Ts_shu} , and the default is 25.5°C.

In some embodiments, when the air conditioner operates in the heating mode, as shown in FIG. 11 , the addressing process is as follows:

Benchmark comfort table according to Table 3. If Rh < 30% (comfort table comfort humidity lower limit), the highest temperature corresponding to Rh30% in the comfort table is Ts_initial ( _{Ts_ initial =} 27℃); if Rh> 65% (comfort table comfort humidity upper limit) , the highest temperature corresponding to Rh65% in the comfort table is _{Ts_initial} ( _{Ts_initial} =26℃); if 65%≥Rh≥30% (comfort table comfort humidity upper and lower limits), according to the comfort table corresponding to the closest humidity The lowest temperature is _{Ts_early} (for example, Rh=43%, the closest humidity in the comfort table is Rh=45%, then the highest temperature corresponding to Rh=45% is _{Ts_early} =26.5℃). In the comfort table, the average value (25.25°C) of the sum of the comfortable humidity upper limit value (26.5°C) and the comfort humidity lower limit value (24°C) corresponding to Rh=50% is taken as Ts_shu, and the default is 25.5°C.

In some embodiments, the air conditioner is operating in blow mode, and the air conditioner is not addressed.

The following is an example of the process of the air conditioner running the TMS comfort mode in the dehumidification and cooling modes.

For example, as shown in FIG. 12, Tout>24°C.

⑴. If Tin≤28℃, and Rh≥65%, enter the dehumidification mode. Look up Table 2 and Table 3 to obtain _{Ts_initial} , _{Ts_shu} , _{Ts_section} (where _{Ts_section} = _{Ts_shu} +1°C) and T complement value in dehumidification mode, and enter the initial comfortable stage of dehumidification.

In the initial comfort stage of dehumidification: Ts= _{Ts_initial} +T _supplement , the display screen of the air conditioner _{Ts_shu} +T supplement and the air conditioner displays the icon of TMS comfort mode operation stage change), when E≤0.5℃ and the accumulated 5min or (Tin -( _{Ts_Shu} +T _Compensation ))≤-0.5℃ and accumulatively for 15min, enter the stable and comfortable stage of dehumidification//(Tin-( _{Ts_Shu} +T _Compensation ))≤-0.5℃ means that the set temperature in the initial comfort stage cannot be reached, But reached the stable comfort stage set temperature.

Dehumidification and stable comfort stage: Ts(1)= _{Ts_initial} + T _{supplementation} + 0.5℃, increasing by 0.5℃ every 5min, namely Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_shu} + T _complement , n is a natural number ≥ 1. //Using a recursive increasing function to prevent the compressor from shutting down when the set temperature is reached due to the large change in the set temperature when the stage is switched. When E≤-0.5°C and lasts for 30min (timed from Ts(n+1)=Ts_shu+T supplement), enter the stage of dehumidification, health and comfort.

Dehumidification health and comfort stage: Ts(1)= _{Ts_Shu} +T _supplement +0.5℃, increasing by 0.5℃ every 5min, namely Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_section} + T's _complement , n is a natural number ≥ 1. //Using a recursive increasing function to prevent the compressor from shutting down when the set temperature is reached due to the large change in the set temperature when the stage is switched.

(2) If Tin≤28℃, and Rh＜65%, enter the air supply mode.

(3) If Tin>28℃, enter cooling mode. Look up Table 2 and Table 3 to obtain _{Ts_initial} , _{Ts_shu} , _{Ts_section} (where _{Ts_section} = _{Ts_shu} +1°C) and T complement value in the cooling mode, and enter the cooling initial comfort stage.

Cooling initial comfort stage: Ts= _{Ts_initial} +T _supplement //(display screen _{Ts_initial} +T _supplement and there is an icon of TMS comfort mode running stage change), when E≤0.5℃ and the accumulated 5min or (Tin-( _{Ts_initial} + T _supplement ))≤-0.5℃ and the accumulation of 15min, enter the cooling stable comfort stage//(Tin-( _{Ts_initial} +T _supplement ))≤-0.5℃ means that the set temperature in the initial comfort stage cannot be reached, but the stable comfort is reached Stage set temperature.

Refrigeration stable and comfortable stage: Ts(1)= _{Ts_initial} +T _supplement +0.5℃, increasing by 0.5℃ every 5min, namely Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_shu} + T _complement , n is a natural number ≥ 1. //Using a recursive increasing function to prevent the compressor from shutting down when the set temperature is reached due to the large change in the set temperature when the stage is switched. When E≤-0.5°C and lasts for 30min (timed from Ts(n+1)= _{Ts_shu} +T _supplement ), enter the cooling health and comfort stage.

Refrigeration health and comfort stage: Ts(1)= _{Ts_Shu} +T _supplement +0.5℃, increasing by 0.5℃ every 5min, namely Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_section} + T's _complement , n is a natural number ≥ 1. //Using a recursive increasing function to prevent the compressor from shutting down when the set temperature is reached due to the large change in the set temperature when the stage is switched.

In some embodiments, the indoor fan operation state, compressor operation state and frequency, electric heating operation state, horizontal air deflector, vertical air deflector, etc. in the initial comfort, stable comfort, health and comfort stages of each mode are shown in Table 4 shown.

Table 4 Operation control requirements for each component of air conditioner

In some embodiments, according to "As the indoor ambient humidity increases, the peak of the dehumidification amount of the air conditioner has a tendency to gradually move to the high wind speed side of the indoor unit. Under different wind speeds, the critical points of dry and wet conditions are different, and the higher the wind speed, the higher the wind speed. High inlet relative humidity can enter the wet working condition; the smaller the wind speed, the lower the inlet relative humidity will enter the wet working condition” (Table 5, Figure 13). The indoor fan comfort control method can better control and maintain the relative humidity of the indoor environment within the range of human comfort humidity.

The relationship between absolute dehumidification capacity and indoor unit wind speed in Table 54h

Based on the above humidity control and moisturizing theory, an indoor fan comfort control method is proposed, which can better control and maintain the relative humidity of the indoor environment within the range of human comfort humidity. Referring to FIG. 14 , a comfort control method for an indoor fan when the operating mode of the air conditioner is the cooling mode according to an embodiment of the present disclosure will be described.

Step S11, the air conditioner enables the TMS function. Step S12, the acquired indoor ambient temperature Tin, outdoor ambient temperature Tout, indoor ambient relative humidity Rh, and indoor instantaneous sampling relative humidity Rhi.

Step S13, according to the indoor environment temperature Tin, the outdoor environment temperature Tout and the indoor environment relative humidity Rh, it is determined that the air conditioner enters the cooling or dehumidification mode.

In step S14, the air conditioner enters the cooling mode. Step S15, controlling the rotational speed of the indoor fan.

In step S16, it is judged whether the set temperature difference E is greater than the first set temperature, eg, 2°C. If yes, go to step S17; if not, go to step S18.

Step S17, controlling the indoor fan to run at the first windshield wind speed. Step S18, controlling the indoor fan to run at the second windshield wind speed. In step S19, it is determined whether the set temperature difference E is less than or equal to the first set temperature, eg, 2°C. If yes, go to step S18; if not, go to step S17.

S20, determine whether the first temperature difference is greater than or equal to -2°C and less than or equal to 2°C within the preset time, if yes, go to step S21; if not, go to step S18.

Step S21, determine whether the second temperature difference is greater than or equal to -6 and less than 6, if yes, go to step 20; if not, go to step S22.

Step S22, determine whether the second temperature difference is greater than 6, if yes, go to step S23; if not, go to step S24.

In step S23, the indoor fan is controlled to run at the rotational speed of the third wind speed.

In step S24, it is judged whether the second temperature difference is less than -6, and if it is, step S25 is performed, and if not, step S21 is performed.

Step S25, controlling the indoor fan to run at the fourth wind speed.

Through the above steps S11-S25, the energy consumption of the air conditioner can be reduced while ensuring the user's comfort.

The PMV model-based TMS comfort mode of the embodiments of the present disclosure has been described above.

In general, the air conditioner of the embodiment of the present disclosure can set the user's individual comfort mode and the TMS comfort mode, wherein, since the PMV model is an average thermal sensation prediction model based on the general population, the influence of individual differences of users is weakened, in order to To meet the personalized and differentiated thermal comfort needs of household air conditioners, especially individual household users, use big data-based artificial intelligence technology to build a decision tree model for users' individual body temperature and coldness, self-learn the change rules of users' temperature and coldness, and accurately identify individual users Thermal comfort needs, personalized thermal comfort control, to meet the individual differentiated and personalized comfort control requirements of different users. It also makes up for the weakness of the PMV prediction comfort model based on the general population, which weakens individual differences, so that the air conditioner not only meets the comfort needs of the general population, but also can meet the individual comfort needs of individual household users.

The decision tree model of the user's individual body temperature and cold feeling in the embodiment of the present disclosure is based on the machine learning method, and its accuracy largely depends on the amount of data involved in training. Therefore, in practical applications, with the continuous increase in the amount of data, its accuracy Sex will also improve. Ideally, the temperature and cold sensation prediction model established based on skin temperature can achieve fully automatic control without human participation in adjusting parameters.

Additionally, terminology is used in the above technical description to provide a thorough understanding of the described embodiments. However, excessive detail is not required to implement the described embodiments. Accordingly, the foregoing descriptions of the embodiments have been presented for purposes of illustration and description. The embodiments presented in the foregoing description, and the examples disclosed in accordance with these embodiments, are provided separately to add context and to facilitate understanding of the described embodiments. The above description is not intended to be exhaustive or to limit the described embodiments to the precise form of the disclosure. Several modifications, options, and variations are possible in light of the above teachings. In some instances, well-known processing steps have not been described in detail to avoid unnecessarily affecting the described embodiments.

Claims (23)

1. An air conditioner, characterized in that, comprising: a human body temperature detection device, the human body temperature detection device is used to detect the face temperature and hand temperature of the target user; an indoor temperature detection device, the indoor temperature detection device is used to detect the indoor ambient temperature; a controller, the controller is connected to the temperature acquisition device and the indoor temperature detection device, and the controller is configured to: Obtain the average face temperature of the face temperature, input the average face temperature, the hand temperature and the indoor ambient temperature into the user's individual body temperature and coldness decision tree model, according to the user's individual body temperature and coldness decision tree model. The output value determines the warm and cold feeling state of the target user, adjusts the currently set target temperature according to the warm and cold feeling state, and controls the operation of the air conditioner according to the adjusted target temperature, wherein the user's individual body temperature and cold feeling The decision tree model is configured with at least eight layers of temperature decision condition sets, and at least eight layers of temperature decision condition sets constitute multiple temperature decision branches, wherein the first layer of temperature decision condition sets includes: decision conditions based on the hand temperature , the temperature decision condition set of the second layer includes: decision conditions based on the indoor ambient temperature, the temperature decision conditions of the third layer include: decision conditions based on the average temperature of the face and the temperature of the hand, and the fourth layer of temperature decision conditions includes: The layer temperature decision condition includes: the decision condition based on the indoor ambient temperature, the hand temperature and the average temperature of the face, and the fifth layer temperature decision condition includes: the average temperature of the face and the indoor ambient temperature. The temperature decision conditions of the sixth layer include: the decision conditions based on the indoor ambient temperature, the average temperature of the face and the hand temperature, and the temperature decision conditions of the seventh layer include: the indoor environment temperature, the average temperature of the face and the hand temperature. Decision-making conditions based on the ambient temperature, the hand temperature and the average temperature of the face, the eighth-layer temperature decision-making conditions include: the decision-making based on the temperature of the hand, the average temperature of the face and the indoor ambient temperature condition. 2. The air conditioner according to claim 1, characterized in that, The facial temperature includes forehead temperature, eye temperature, nose temperature and cheek temperature; The controller is configured to record the target user's forehead temperature, eye temperature, nose temperature, and cheek temperature within a preset time period, and calculate the average forehead temperature, the average eye temperature, and the nose temperature within the preset time period. The average value and the average value of the cheek temperature, the average value of the forehead temperature, the average value of the eye temperature, the average value of the nose temperature and the average value of the cheek temperature are weighted to obtain the average value of the face temperature, wherein the average value of the average value of the forehead temperature is calculated. Weight>weight of the eye temperature average>weight of the nose temperature average>weight of the cheek temperature average. 3 . The air conditioner according to claim 2 , wherein the controller is specifically configured to set the average temperature of the face, the temperature of the hand, and the The indoor ambient temperature is compared with the multiple temperature determination branches formed by at least eight temperature decision condition sets in the decision tree model of the user's individual body temperature and coldness, so as to determine the target temperature determination branch and obtain the user's individual body temperature and coldness. The decision tree model corresponds to the output value of the target temperature judging branch, and takes the warm and cold feeling state corresponding to the output value as the warm and cold feeling state of the target user. 4. The air conditioner of claim 3, wherein the controller is configured to: Determine whether the hand temperature satisfies T hand≤T _{hand setting 1} ; If T _{hand≤Thand setting 1} is satisfied, further determine whether the indoor ambient temperature T indoor≤T _{indoor setting 1} is satisfied; If it satisfies T indoor≤T _{indoor setting 1} , then further judge whether the average temperature of the _face T face≤T _{face setting 1} is satisfied; If T face≤T _{face setting 1} is not satisfied, then the target temperature determination branch is determined as the first temperature determination branch, and the output value of the first temperature determination branch corresponding to the user's individual body temperature and coldness decision tree model is obtained as If the output value is neutral, the target user's sense of warmth and coldness is neutral; If T face≤T _{face setting 1} is satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 2} is satisfied, wherein T _{indoor setting 2} <T _{indoor setting 1} ; If T indoor≤T _{indoor setting 2 is} satisfied, the target temperature determination branch is determined as the second temperature determination branch, and the output value of the second temperature determination branch corresponding to the user's individual body temperature decision tree model is obtained as neutral output value, the target user's warm and cold state is neutral; If it does not satisfy T indoor≤T _{indoor setting 2} , then further determine whether the average _face temperature T face≤T _{face setting 2} is satisfied, wherein T _{face setting 2} <T _{face setting 1} ; If T face≤T _{face setting 2} is satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 3} is satisfied, wherein T _{indoor setting 2} <T _{indoor setting 3} ; If T indoor≤T _{indoor setting 3} is not satisfied, the target temperature determination branch is determined as the third temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the third temperature determination branch is obtained as If the output value is partial heat, the target user's warm and cold feeling state is partial heat; If T indoor≤T _{indoor setting 3} is satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 4} is satisfied, wherein T _{indoor setting 4} <T _{indoor setting 3} ; If T indoor≤T _{indoor setting 4} is satisfied, then the target temperature determination branch is determined as the fourth temperature determination branch, and the output value of the fourth temperature determination branch corresponding to the user's individual body temperature and coldness decision tree model is obtained. If the heat output value is set, the target user's warm and cold feeling state is warm; If T indoor≤T _{indoor setting 4} is not satisfied, the target temperature determination branch is determined as the fifth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fifth temperature determination branch is obtained as If the output value is colder, the target user's warm and cold feeling state is colder. 5. The air conditioner according to claim 4, wherein the controller is further configured to: If it does not satisfy T-face≤T- _{face setting 2} , then further determine whether the average _face temperature T-face≤T- _{face setting 3} is satisfied, wherein T- _{face setting 2} <T- _{face setting 3} ; If T face≤T _{face setting 3} is satisfied, then it is further judged whether the hand temperature T hand≤T _{hand setting 2} is satisfied, wherein T _{hand setting 2} <T _{hand setting 1} ; If T _{hand≤Thand setting 2} is not satisfied, determine the target temperature determination branch as the sixth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the sixth temperature determination branch If the value is a neutral output value, the target user's sense of warmth and coldness is neutral; If Thand≤Thandset2 is satisfied, further determine whether the _hand temperature _{Thand≤Thandset3 is} satisfied _, where _Thandset3 <_Thandset2; If T _{hand≤Thand setting 3} is satisfied, the target temperature determination branch is determined as the seventh temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the seventh temperature determination branch is obtained If it is a cold output value, the target user's warm and cold feeling state is cold; If T _{hand≤Thand setting 3} is not satisfied, determine the target temperature determination branch as the eighth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the eighth temperature determination branch If the value is the cold output value, the target user's sense of warmth and coldness is cold. 6. The air conditioner of claim 5, wherein the controller is configured to: If it does not satisfy T-face≤T- _{face setting 3} , then further determine whether the average temperature of the _face T-face≤T- _{face setting 4} is satisfied, wherein T- _{face setting 3} ＜T- _{face setting 4} ; If T face≤T _{face setting 4} is satisfied, then it is further judged whether the hand temperature T hand≤T _{hand setting 4} is satisfied, wherein T _{hand setting 2} <T _{hand setting 4} ; If T hand≤T _{hand setting 4} is satisfied, the target temperature determination branch is determined as the ninth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the ninth temperature determination branch is obtained If it is a cold output value, the target user's warm and cold feeling state is cold; If _{Thand≤Thand setting 4} is not satisfied, determine the target temperature determination branch as the tenth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the tenth temperature determination branch If the value is a neutral output value, the target user's sense of warmth and coldness is neutral. 7. The air conditioner of claim 6, wherein the controller is configured to: If it does not satisfy T-face≤T- _{face setting 4} , then further determine whether it satisfies the average _face temperature T-face≤T- _{face setting 5} , where T- _{face setting 4} ＜T- _{face setting 5} ; If T face≤T _{face setting 5} is satisfied, the target temperature determination branch is determined as the eleventh temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the eleventh temperature determination branch is obtained If it is a cold output value, the target user's warm and cold feeling state is cold; If T face≤T _{face setting 5} is not satisfied, the target temperature determination branch is determined as the twelfth temperature determination branch, and the output of the user's individual body temperature and coldness decision tree model corresponding to the twelfth temperature determination branch is obtained If the value is the cold output value, the target user's sense of warmth and coldness is cold. 8. The air conditioner of claim 4, wherein the controller is configured to: If it does not satisfy T indoor≤T _{indoor setting 1} , then further determine whether the average _face temperature T face≤T _{face setting 6} is satisfied, wherein T _{face setting 1} <T _{face setting 6} ; If T face≤T _{face setting 6} is not satisfied, then determine the target temperature determination branch as the thirteenth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the thirteenth temperature determination branch If the value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T face≤T _{face setting 6} is satisfied, then it is further judged whether the hand temperature T hand≤T _{hand setting 5} is satisfied, wherein T _{hand setting 5} <T _{hand setting 1} ; If T _{hand≤Thand setting 5} is satisfied, the target temperature determination branch is determined to be the fourteenth temperature determination branch, and the user's body temperature and coldness decision tree model corresponding to the fourteenth temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If it does not satisfy T _{hand≤Thand setting 5} , then further determine whether the average temperature of the _face T face≤T _{face setting 7} is satisfied, wherein T _{face setting 7} ＜T _{face setting 6} ; If T face≤T _{face setting 7} is satisfied, the target temperature determination branch is determined as the fifteenth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fifteenth temperature determination branch is obtained is a neutral output value, the target user's warm and cold state is neutral; If T face≤T _{face setting 7} is not satisfied, then further determine whether the _hand temperature Thand≤Thand _{setting 6} is satisfied, wherein Thand _{setting 5} <Thand _{setting 6} ; If T _{hand≤Thand setting 6} is satisfied, then the target temperature determination branch is determined as the sixteenth temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the sixteenth temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T _{hand≤Thand setting 6} is not satisfied, determine the target temperature determination branch as the seventeenth temperature determination branch, and obtain the user's body temperature and coldness decision tree model corresponding to the seventeenth temperature determination branch The output value of , is the neutral output value, and the target user's sense of warmth and coldness is neutral. 9. The air conditioner of claim 4, wherein the controller is configured to: If T _{hand≤Thand setting 1} is not satisfied, further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 5} is satisfied, wherein T _{indoor setting 1} <T _{indoor setting 5} ; If T indoor≤T _{indoor setting 5} is satisfied, further determine whether the _hand temperature _{Thand≤Thand} setting7 is satisfied, wherein Thand _setting1 <Thand _setting7 ; If T _{hand≤Thand setting 7} is satisfied, then the target temperature determination branch is determined to be the eighteenth temperature determination branch, and the user's body temperature and coldness decision tree model corresponding to the eighteenth temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T _{hand≤Thand setting 7} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 6} is satisfied, wherein T _{indoor setting 6} <T _{indoor setting 5} ; If T indoor≤T _{indoor setting 6} is satisfied, then the target temperature determination branch is determined as the nineteenth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the nineteenth temperature determination branch is obtained is a neutral output value, the target user's warm and cold state is neutral; If T indoor≤T _{indoor setting 6} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 7} is satisfied, wherein T _{indoor setting 6} <T _{indoor setting 7} ; If T indoor≤T _{indoor setting 7} is not satisfied, then the target temperature determination branch is determined as the twentieth temperature determination branch, and the output of the user's individual body temperature and coldness decision tree model corresponding to the twentieth temperature determination branch is obtained If the value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T indoor≤T _{indoor setting 7} is satisfied, then further determine whether the average _face temperature T face≤T _{face setting 8} is satisfied, wherein T _{face setting 1} <T _{face setting 8} ; If T face≤T _{face setting 8} is satisfied, the target temperature determination branch is determined as the twenty-first temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the twenty-first temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T face≤T _{face setting 8} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 8} is satisfied, wherein T _{indoor setting 8} <T _{indoor setting 7} ; If T indoor≤T _{indoor setting 8} is satisfied, then the target temperature determination branch is determined as the twenty-second temperature determination branch, and the user's individual body temperature and cold feeling decision tree model corresponding to the twenty-second temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If it does not satisfy T indoor≤T _{indoor setting 8} , then further determine whether the average _face temperature T face≤T _{face setting 9} is satisfied, wherein T _{face setting 8} <T _{face setting 9} ; If T face≤T _{face setting 9} is satisfied, then the target temperature determination branch is determined to be the twenty-third temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the twenty-third temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T face≤T _{face setting 9} is not satisfied, determine the target temperature determination branch as the twenty-fourth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the twenty-fourth temperature determination branch The output value of , is the neutral output value, and the target user's sense of warmth and coldness is neutral. 10. The air conditioner of claim 9, wherein the controller is configured to: If T _{indoor≤T indoor setting 5} is not satisfied, further judge whether the _hand temperature _{Thand≤Thand} setting8 is satisfied, wherein Thand setting7<Thand _setting8 ; If it satisfies T _{hand≤Thand setting 8} , then further determine whether the average temperature of the _face T face≤T _{face setting 10} is satisfied, wherein T _{face setting 10} <T _{face setting 8} ; If T face≤T _{face setting 10} is satisfied, then the target temperature determination branch is determined as the twenty-fifth temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the twenty-fifth temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If it does not satisfy T-face≤T- _{face setting 10} , then further judge whether it satisfies the _indoor ambient temperature T-room≤T _{-room setting 9} , wherein T- _{room setting 5} <T- _{room setting 9} ; If T indoor≤T _{indoor setting 9} is satisfied, then it is further judged whether the average _face temperature T face≤T _{face setting 11} is satisfied, wherein T _{face setting 10} <T _{face setting 11} ; If T-face≤T- _{face setting 11} is satisfied, then further determine whether the average _face temperature T-face≤T- _{face setting 12} is satisfied, wherein T- _{face setting 12} <T- _{face setting 11} ; If T face≤T _{face setting 12} is satisfied, then the target temperature determination branch is determined as the twenty-sixth temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the twenty-sixth temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T face≤T _{face setting 12} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 10} is satisfied, wherein T _{indoor setting 10} <T _{indoor setting 9} ; If T indoor≤T _{indoor setting of 10} is satisfied, then the target temperature determination branch is determined as the twenty-seventh temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the twenty-seventh temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T indoor≤T _{indoor setting of 10} is not satisfied, determine the target temperature determination branch as the twenty-eighth temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the twenty-eighth temperature determination branch If the output value is partial heat output value, the target user's warm and cold feeling state is partial heat. 11. The air conditioner of claim 10, wherein the controller is configured to: If T face≤T _{face setting 11} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 11} is satisfied, wherein T _{indoor setting 11} <T _{indoor setting 10} ; If T indoor≤T _{indoor setting 11} is not satisfied, determine the target temperature determination branch as the twenty-ninth temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the twenty-ninth temperature determination branch The output value is neutral output value, then the target user's warm and cold state is neutral; If T _{indoor≤T indoor setting 11} is satisfied, then further judge whether the _hand temperature _{Thand≤Thand} setting9 is satisfied, wherein Thand setting9<Thand _setting8 ; If T _{hand≤Thand setting 9} is satisfied, the target temperature determination branch is determined to be the thirtieth temperature determination branch, and the user's body temperature and coldness decision tree model corresponding to the thirtieth temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T hand≤T _{hand setting 9} is not satisfied, determine the target temperature determination branch as the thirty-first temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-first temperature If the output value of the determination branch is a neutral output value, the warm and cold sensation state of the target user is neutral. 12. The air conditioner of claim 10, wherein the controller is configured to: If it does not satisfy T indoor≤T _{indoor setting 9} , then further determine whether the average _face temperature T face≤T _{face setting 13} is satisfied, wherein T _{face setting 11} <T _{face setting 13} ; If T face≤T _{face setting 13} is not satisfied, then the target temperature determination branch is determined as the thirty-second temperature determination branch, and the user's individual body temperature and cold feeling decision tree model corresponding to the thirty-second temperature determination branch is obtained If the output value is partial heat output value, the target user's warm and cold feeling state is partial heat; If T face≤T _{face setting 13} is satisfied, then it is further judged whether the _hand temperature Thand≤Thand _{setting 10} is satisfied, wherein Thand _{setting 10} <Thand _{setting 8} ; If Thand≤Thandset10 is satisfied, then further _determine whether the _hand temperature _{Thand≤Thandset11 is} satisfied, wherein _Thandset11 <_Thandset10; If T _{hand≤Thand setting 11} is satisfied, then the target temperature determination branch is determined as the thirty-third temperature determination branch, and the decision tree model of the user's individual body temperature and cold feeling corresponding to the thirty-third temperature determination is obtained. If the output value of the branch is the partial heat output value, the temperature and cold state of the target user is partial heat; If T hand≤T _{hand setting 11} is not satisfied, determine the target temperature determination branch as the thirty-fourth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-fourth temperature If the output value of the determination branch is a partial heat output value, the warm and cold feeling state of the target user is partial heat. 13. The air conditioner of claim 12, wherein the controller is configured to: If Thand≤Thandset10 is not satisfied, further judge whether _{the hand} temperature _{Thand≤Thandset12 is} satisfied, wherein _Thandset10 <_Thandset12; If T hand≤T _{hand setting 12} is satisfied, then the target temperature determination branch is determined to be the thirty-fifth temperature determination branch, and the decision tree model of the user's individual body temperature and cold feeling corresponding to the thirty-fifth temperature determination is obtained. If the output value of the branch is a neutral output value, the target user's sense of warmth and coldness is neutral; If _{Thand≤Thand setting 12} is not satisfied, determine the target temperature determination branch as the thirty-sixth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-sixth temperature If the output value of the determination branch is a partial heat output value, the warm and cold feeling state of the target user is partial heat. 14. The air conditioner of claim 10, wherein the controller is configured to: If Thand≤Thandset8 is not satisfied, further determine whether the _hand temperature _{Thand≤Thandset13 is} satisfied _, where _Thandset8 <_Thandset13; If T _{hand≤Thand setting 13} is satisfied, then it is further judged whether the average temperature of the _face T face≤T _{face setting 14} is satisfied, wherein T _{face setting 11} <T _{face setting 14} ; If T face≤T _{face setting 14} is satisfied, then it is further judged whether the _hand temperature Thand≤Thand _setting 14 is satisfied, wherein Thand _{setting 14} <Thand _{setting 13} ; If T _{hand≤Thand setting 14} is satisfied, further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 12} is satisfied, wherein T _{indoor setting 5} <T _{indoor setting 12} ; If T indoor≤T _{indoor setting 12} is not satisfied, then determine the target temperature determination branch as the thirty-seventh temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-seventh temperature determination branch The output value is neutral output value, then the target user's warm and cold state is neutral; If T indoor≤T _{indoor setting 12} is satisfied, then it is further judged whether the average temperature of the _face T face≤T _{face setting 15} is satisfied, wherein T _{face setting 15} <T _{face setting 14} ; If T face≤T _{face setting 15} is satisfied, then the target temperature determination branch is determined as the thirty-eighth temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the thirty-eighth temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T face≤T _{face setting 15} is not satisfied, then determine the target temperature determination branch as the thirty-ninth temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the thirty-ninth temperature determination branch The output value of , is the neutral output value, and the target user's sense of warmth and coldness is neutral. 15. The air conditioner of claim 14, wherein the controller is configured to: If T _{hand≤Thand setting 14} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 13} is satisfied, wherein T _{indoor setting 12} <T _{indoor setting 13} ; If T indoor≤T _{indoor setting 13} is not satisfied, determine the target temperature determination branch as the fortieth temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the fortieth temperature determination branch If the value is the partial heat output value, the target user's warm and cold feeling state is partial heat; If T indoor≤T _{indoor setting 13} is satisfied, then it is further judged whether the average temperature of the _face T face≤T _{face setting 16} is satisfied, wherein T _{face setting 15} <T _{face setting 16} ; If T face≤T _{face setting 16} is satisfied, then the target temperature determination branch is determined to be the forty-first temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the forty-first temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T face≤T _{face setting 16} is not satisfied, determine the target temperature determination branch as the forty-second temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the forty-second temperature determination branch The output value of , is the neutral output value, and the target user's sense of warmth and coldness is neutral. 16. The air conditioner of claim 14, wherein the controller is configured to: If T face≤T _{face setting 14} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 14} is satisfied, wherein T _{indoor setting 12} <T _{indoor setting 14} ; If T indoor≤T _{indoor setting 14} is satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 15} is satisfied, wherein T _{indoor setting 15} <T _{indoor setting 14} ; If T indoor≤T _{indoor setting 15} is satisfied, then it is further judged whether the average _face temperature T face≤T _{face setting 17} is satisfied, wherein T _{face setting 14} <T _{face setting 17} ; If T face≤T _{face setting 17} is satisfied, then the target temperature determination branch is determined as the forty-third temperature determination branch, and the user's individual body temperature and cold feeling decision tree model corresponding to the forty-third temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T face≤T _{face setting 17} is not satisfied, then the target temperature determination branch is determined to be the forty-fourth temperature determination branch, and the user's body temperature and coldness decision tree model corresponding to the forty-fourth temperature determination branch is obtained If the output value is partial heat output value, the target user's warm and cold feeling state is partial heat. 17. The air conditioner of claim 16, wherein the controller is configured to: If it does not satisfy T indoor≤T _{indoor setting 15} , then further determine whether the average temperature of the _face T face≤T _{face setting 18} is satisfied, wherein T _{face setting 17} <T _{face setting 18} ; If T face≤T _{face setting 18} is satisfied, then the target temperature determination branch is determined to be the forty-fifth temperature determination branch, and the user's individual body temperature and cold feeling decision tree model corresponding to the forty-fifth temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If T face≤T _{face setting 18} is not satisfied, determine the target temperature determination branch as the forty-sixth temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the forty-sixth temperature determination branch The output value of , is the neutral output value, and the target user's sense of warmth and coldness is neutral. 18. The air conditioner of claim 16, wherein the controller is configured to: If T indoor≤T _{indoor setting 14} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 16} is satisfied, wherein T _{indoor setting 14} <T _{indoor setting 16} ; If T indoor≤T _{indoor setting 16} is satisfied, the target temperature determination branch is determined as the forty-seventh temperature determination branch, and the user's individual body temperature and coldness decision tree model corresponding to the forty-seventh temperature determination branch is obtained. If the output value is the partial heat output value, the target user's warm and cold sense state is partial heat; If it is less than T _indoor ≤ T _{indoor setting 16} , the target temperature determination branch is determined to be the forty-eighth temperature determination branch, and the user's body temperature and cold feeling decision tree model corresponding to the forty-eighth temperature determination branch is obtained. If the output value is partial heat output value, the target user's warm and cold feeling state is partial heat. 19. The air conditioner of claim 14, wherein the controller is configured to: If T _{hand≤Thand setting 13} is not satisfied, then further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 17} is satisfied, wherein the T _{indoor setting 5} <T _{indoor setting 17} ; If T indoor≤T _{indoor setting 17} is satisfied, then the target temperature determination branch is determined to be the forty-ninth temperature determination branch, and the user's individual body temperature and cold feeling decision tree model corresponding to the forty-ninth temperature determination branch is obtained. If the output value is a neutral output value, the target user's sense of warmth and coldness is neutral; If T indoor≤T _{indoor setting 17} is not satisfied, further judge whether the indoor ambient temperature T indoor≤T _{indoor setting 18} is satisfied, wherein T _{indoor setting 17} <T _{indoor setting 18} ; If T indoor≤T _{indoor setting 18} is satisfied, then the target temperature determination branch is determined as the fiftieth temperature determination branch, and the output value of the user's individual body temperature and coldness decision tree model corresponding to the fiftieth temperature determination branch is obtained. is the partial heat output value, the target user's warm and cold feeling state is partial heat; If it does not satisfy T indoor≤T _{indoor setting 18} , then further determine whether the average _face temperature T face≤T _{face setting 19} is satisfied, wherein T _{face setting 14} <T _{face setting 19} ; If T face≤T _{face setting 19} is not satisfied, determine the target temperature determination branch as the fifty-first temperature determination branch, and obtain the user's individual body temperature and cold feeling decision tree model corresponding to the fifty-first temperature determination branch The output value is neutral output value, then the target user's warm and cold state is neutral; If T-face≤T- _{face setting 19} is satisfied, then it is further judged whether the average _face temperature T-face≤T- _{face setting 20} is satisfied, wherein T- _{face setting 20} <T- _{face setting 19} ; If T face≤T _{face setting 20 is} satisfied, determine the target temperature determination branch as the fifty-second temperature determination branch, and obtain the output of the user's individual body temperature and coldness decision tree model corresponding to the fifty-second temperature determination branch If the value is the partial heat output value, the target user's warm and cold feeling state is partial heat; If T face≤T _{face setting 20 is} not satisfied, determine the target temperature determination branch as the fifty-third temperature determination branch, and obtain the user's individual body temperature and coldness decision tree model corresponding to the fifty-third temperature determination branch If the output value is the partial heat output value, the target user's warm and cold feeling state is partial heat. 20. The air conditioner according to any one of claims 1-19, wherein the controller is further configured to: It is determined that the warm-cold feeling state of the target user is cold, and the current set target temperature is increased; It is determined that the warm and cold sensation state of the target user is neutral, and the current set target temperature is maintained; It is determined that the warm-cool feeling state of the target user is too hot, and the currently set target temperature is lowered. 21. The air conditioner according to any one of claims 1-19, wherein the controller is further configured to: When the air conditioner is in the heating mode, and it is determined that the target user's warm and cold feeling state is cold for a continuous preset number of times, the rotational speed of the indoor fan of the air conditioner is increased; The air conditioner is in the heating mode, and it is determined for the preset number of consecutive times that the target user's warm and cold feeling state is too hot, and the rotational speed of the indoor fan of the air conditioner is reduced; The air conditioner is in the cooling mode, and it is determined that the target user's warm and cold feeling state is too cold for the preset number of consecutive times, and the rotational speed of the indoor fan of the air conditioner is reduced; The air conditioner is in the cooling mode, and it is determined that the target user's warm and cold feeling state is too warm for the preset number of consecutive times, and the rotational speed of the indoor fan of the air conditioner is increased. 22. The air conditioner of claim 1, wherein the controller is further configured to: Periodically input the average face temperature, the hand temperature and the indoor ambient temperature into the user's individual body temperature and coldness decision tree model to obtain a preset number of outputs of the user's individual body temperature and coldness decision tree model The output value of the preset number of output values is counted and classified, and the warm and cold feeling state corresponding to the output value in the classification including the most output value is taken as the warm and cold feeling state of the target user. 23. A control method for an air conditioner, comprising: Receive the target user's face temperature, hand temperature and indoor ambient temperature, and obtain the average face temperature of the face temperature; Input the average face temperature, the hand temperature and the indoor ambient temperature into the user's individual body temperature and coldness decision tree model, wherein at least eight layers of temperature decision condition sets are configured in the user's individual body temperature and coldness decision tree model , at least eight layers of temperature decision condition sets constitute a plurality of temperature decision branches, wherein the first layer of temperature decision condition sets includes: decision conditions based on the hand temperature, and the second layer of temperature decision condition sets includes: Decision-making conditions based on indoor ambient temperature, the third-layer temperature decision-making conditions include: decision-making conditions based on the average temperature of the face and the hand temperature, and the fourth-layer temperature decision-making conditions include: the indoor ambient temperature, The decision-making conditions based on the hand temperature and the average temperature of the face, the fifth-layer temperature decision-making conditions include: the decision-making conditions based on the average face temperature and the indoor ambient temperature, and the sixth-layer temperature decision-making conditions include: : a decision condition based on the indoor ambient temperature, the average face temperature and the hand temperature, the seventh layer temperature decision condition includes: the indoor ambient temperature, the hand temperature and the average face temperature Decision-making conditions based on temperature, the eighth-layer temperature decision-making conditions include: decision-making conditions based on the temperature of the hand, the average temperature of the face, and the temperature of the indoor environment; Determine the temperature and coldness state of the target user according to the output value of the user's individual body temperature and coldness decision tree model; The currently set target temperature is adjusted according to the warm-cool feeling state, and the operation of the air conditioner is controlled according to the adjusted target temperature.

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