CN115046292B - Air conditioner and control method thereof - Google Patents

Abstract

The invention discloses an air conditioner and a control method thereof, wherein the air conditioner comprises a human body temperature detection device, an indoor temperature detection device and a controller, wherein the human body temperature detection device is used for detecting the face temperature and the hand temperature of a target user; the indoor temperature detection device is used for detecting indoor environment temperature; the controller is configured to: the method comprises the steps of obtaining the face average temperature of the face temperature, inputting the face average temperature, the hand temperature and the indoor environment temperature into a user individual temperature cold sense decision tree model, determining the temperature cold sense state of a target user according to the output value of the user individual temperature cold sense decision tree model, adjusting the current set target temperature according to the temperature cold sense state, and controlling the air conditioner to operate according to the adjusted target temperature, wherein at least eight temperature decision condition sets configured in the user individual temperature cold sense decision tree model form a plurality of temperature decision branches. The air conditioner and the control method thereof can meet the comfort requirement 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 conditioning, 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, comfort is usually designed and controlled by setting a single temperature indicator, or by using a specified single temperature indicator and a specified single humidity indicator to design and control comfort. In this way, it is usually to meet the comfort needs of most groups.

However, due to differences in individual comfort needs, a single temperature and humidity index adjustment can no longer effectively meet people's needs for comfort, and cannot meet the differentiated and personalized thermal comfort control requirements of different users.

Contents of the invention

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

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

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

The control method of the air conditioner according to the second aspect of the present disclosure includes: obtaining the facial temperature, hand temperature and indoor ambient temperature of the target user; obtaining the facial average temperature of the facial temperature, and combining the facial average temperature and the facial average temperature. The hand temperature and the indoor environment temperature are input into the user's individual temperature and cold feeling decision tree model, wherein the user's individual temperature and cold feeling 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 determination branches, wherein the first layer temperature decision condition set includes: decision conditions based on the hand temperature, and the second layer temperature decision condition set includes: decision conditions based on the indoor ambient temperature, The third layer of temperature decision-making conditions includes: decision-making conditions based on the average facial temperature and the hand temperature. The fourth-layer temperature decision-making conditions include: the indoor environment temperature, the hand temperature and the face temperature. The decision-making conditions based on the average temperature, the fifth-layer temperature decision-making conditions include: the decision-making conditions based on the average facial temperature and the indoor ambient temperature, the sixth-layer temperature decision-making conditions include: the indoor ambient temperature, all Decision-making conditions based on the average temperature of the face and the temperature of the hands, the seventh level temperature decision-making conditions include: decision-making conditions based on the indoor ambient temperature, the temperature of the hands and the average temperature of the face, the eighth level The layer temperature decision conditions include: decision conditions based on the hand temperature, the average facial temperature and the indoor environment temperature; determining the target user's temperature based on the output value of the user's individual temperature and cold feeling decision tree model. Warm and cold feeling state; adjust the currently set target temperature according to the warm and cold feeling state, and control the operation of the air conditioner according to the adjusted target temperature.

The air conditioner and its control method in the embodiment of the present disclosure can compensate for the PMV (PredictedMean Vote) prediction comfort model based on the general population by using the user's individual temperature and cold feeling decision tree model established based on big data and artificial intelligence technology to adjust the target temperature. It weakens the shortcomings of individual differences, and not only considers the user's individual facial temperature to experience the user's current feeling of warmth and coldness, but also considers that the indoor ambient temperature will also affect the user's warmth and coldness experience, and the face and hands are exposed, but the temperature of both There is a deviation. Therefore, the air conditioner inputs the average facial temperature, hand temperature and indoor environment temperature into the user's individual temperature and cold feeling decision tree model, thereby meeting the target user's individual temperature and cold feeling comfort and improving the personalization and differentiation of the individual user. needs to improve the comfort of air conditioners. And, considering that it may be difficult to collect data at certain points of the facial temperature, the controller in this disclosure obtains the average facial temperature of the facial temperature, thereby avoiding the situation where data cannot be collected at a single test point, and is more practical. Collecting data is more accurate.

Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.

Description of the drawings

One or more embodiments are exemplified by corresponding drawings. These exemplary descriptions and drawings do not constitute limitations to the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings are not limited to scale and in which:

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

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

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

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

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

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

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

Figure 8 is a flow chart of the overall operating logic of the air conditioner comfort control according to one embodiment of the present disclosure;

Figure 9 is a flowchart of running a user's individual comfort mode according to one embodiment of the present disclosure;

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

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

Figure 12 is a flow chart of a control method of TMS comfort mode according to one embodiment of the present disclosure;

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

Figure 14 is an indoor fan comfort control method when the air conditioner operating mode is the cooling mode according to an embodiment of the present disclosure.

Detailed ways

In order to understand the characteristics and technical content 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. The attached drawings are for reference only and are not intended to limit the embodiments of the present disclosure. In the following technical description, for convenience of explanation, multiple 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 to simplify the drawings. Based on the embodiments in this disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this disclosure.

The air conditioner in the present disclosure performs the refrigeration cycle of the air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle consists of 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 the heat is released to the surrounding environment through the condensation process.

The expansion valve expands the high-temperature and high-pressure liquid refrigerant condensed in the condenser into a low-pressure liquid refrigerant. The evaporator evaporates the refrigerant expanded in the expansion valve and returns the refrigerant gas at low temperature and low pressure to the compressor. The evaporator can achieve the refrigeration effect by utilizing 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 and outdoor heat exchangers serve as condensers or evaporators. When the indoor heat exchanger acts as a condenser, the air conditioner acts as a heater in heating mode, and when the indoor heat exchanger acts as an evaporator, the air conditioner acts as a cooler in cooling mode.

In order to improve the comfort of individual users, 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 needs of different individual users.

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

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

Among them, the human body temperature detection device 10 is used to detect the facial temperature and hand temperature of the target user. In an embodiment, the human body temperature detection device 10 can use an infrared detection device such as an infrared camera to collect the temperature of the target user's exposed parts such as facial temperature and hand temperature. The facial temperature can 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 can be set on the indoor unit casing to collect the indoor air temperature, that is, the indoor ambient temperature, or a temperature sensor can be set at other locations indoors, or the indoor ambient temperature can be detected through auxiliary equipment such as an intelligent robot, and the collected indoor ambient temperature can be The ambient temperature data is sent to the air conditioner controller.

The controller 30 is connected to the temperature acquisition device. The user's individual temperature and cold feeling decision tree model can be pre-stored in the controller 30. The model is pre-trained, generated, detected and stored in the controller. The controller can be adjusted at any time when executing relevant decisions. Take this model.

The user's individual temperature and cold feeling decision tree model is explained below.

In the embodiment of the present disclosure, the user's individual temperature and cold feeling decision tree model is based on the different thermal comfort needs of individual users. The user's individual temperature and cold feeling decision tree is established through big data artificial intelligence technology based on human physiological parameters and environmental parameters. The sensory prediction and identification model can self-learn the changing rules of users' individual temperature and cold sensations, accurately identify users' individual thermal comfort needs, and perform personalized thermal comfort control to meet the differentiated and personalized thermal comfort control requirements of different users.

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

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

Secondly, model training is performed, and the training data is used for model screening, debugging and optimization. Specifically, the training data is input into the initial model, and then the initial model is debugged and optimized based on the model output results, 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 user's individual temperature and cold feeling decision tree model can reach more than 80%.

In the embodiment, the user's individual temperature and cold feeling decision tree model that meets the expectations may be stored in the storage unit of the controller 30 of the air conditioner 1 in advance. The user's individual temperature and cold feeling decision tree model in the embodiment of the present disclosure is configured with at least eight layers of temperature decision condition sets. The at least eight layers of temperature decision condition sets constitute multiple temperature decision branches. The first layer of temperature decision condition sets include: Decision-making conditions based on the hand temperature, the second layer of temperature decision-making conditions include: decision-making conditions based on the indoor environment temperature, and the third layer of temperature decision-making conditions include: the average temperature of the face and the hand Decision-making conditions based on the hand temperature. The fourth-layer temperature decision-making conditions include: decision-making conditions based on the indoor ambient temperature, the hand temperature and the average facial temperature. The fifth-layer temperature decision-making conditions include: Decision-making conditions based on the above-mentioned average facial temperature and the indoor ambient temperature. The sixth layer temperature decision-making conditions include: decision-making conditions based on the indoor ambient temperature, the average facial temperature and the hand temperature. The seventh-level temperature decision-making conditions include: The layer temperature decision conditions include: decision conditions based on the indoor ambient temperature, the hand temperature and the average facial temperature. The eighth layer temperature decision conditions include: the hand temperature, the average facial temperature and the indoor ambient temperature as the basis for decision-making conditions. For example, Figures 4-7 are respectively schematic diagrams of parts of a decision tree model of user's individual temperature and cold sensation according to one embodiment of the present disclosure. The shape of the model is similar to a tree. The left branch represents the judgment is true, and the right branch represents the judgment is true. False, each time a series of judgments are made until there is no more bifurcation and the final result is output. In some embodiments, the user's individual temperature and cold feeling decision tree model may include at least eight layers of temperature decision condition sets and fifty-three temperature decision branches composed of at least eight layers of temperature decision condition sets. 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 the sense of warmth and coldness. Each temperature determination branch can output the corresponding prediction result of the sense of warmth and coldness. The final value of the sense of warmth and coldness judgment is the output value of the user's individual sense of warmth and coldness decision tree model. It can be -1 (cold), 0 (neutral), or 1 (hot). Therefore, the user's current warm and cold feeling state can be determined based on the output value of the user's individual warm and cold feeling decision tree model.

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

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

Further, in the embodiments of the present disclosure, not only the individual facial temperature of the user can reflect the user's current feeling of warmth and coldness, but also the indoor ambient temperature can also affect the user's experience of warmth and coldness, and both the face and hands are exposed, but both There is a deviation in the temperature. Therefore, taking into account the average facial temperature, hand temperature and indoor ambient temperature, the air conditioner 1 inputs the average facial temperature, hand temperature and indoor ambient temperature into the user's individual temperature and cold feeling decision tree model. According to the user's individual temperature The output value of the cold feeling decision tree model determines the warm and cold feeling state of the target user, adjusts the current 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, thereby satisfying the target user's individual warm and cold feeling. Comfort, improve the personalized and differentiated needs of individual users, and improve the comfort of air conditioners.

Among them, the current set target temperature can be the temperature set by the user through the control terminal of the air conditioner, such as a remote control, a wire controller, or an air conditioner APP loaded on a mobile smart device, when the user starts the air conditioner, or when the user starts the user's individual comfort mode. The current temperature is not specifically limited here.

In the embodiment of the present disclosure, the facial temperature may include forehead temperature, eye temperature, nose temperature and cheek temperature, and of course may also include one or a combination of several of them. Considering that there are deviations in the temperature of different parts of the face and that sometimes the temperature of some parts may not be collected, when running the user's individual comfort mode, the controller 30 records the forehead temperature, eye temperature, nose temperature and cheek temperature of the target user within a preset period of time. Temperature, calculate the average forehead temperature, average eye temperature, average nose temperature, and average cheek temperature within the preset time period, and weight the average forehead temperature, average eye temperature, average nose temperature, and 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 weighted formula used for the average facial temperature can be obtained through multiple linear regression of the above collected data. For example, the formula is in the following form:

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

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

Of course, the above is only one of the weighted formulas used by this disclosure to obtain the average facial temperature, and other deformation formulas based on this are also within the scope of this disclosure.

The air conditioner 1 of the embodiment of the present disclosure adjusts the target temperature by using a user's individual temperature and cold feeling decision tree model established based on big data and artificial intelligence technology, which can make up for the shortcomings of the PMV prediction comfort model based on the general population that weakens individual differences. The air conditioner 1 not only meets the comfort needs of the general population, but also can realize the personalized comfort needs of individual household users.

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 facial 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 calls the user's individual temperature and coldness decision tree model to compare the average facial temperature, hand temperature and indoor ambient temperature with the temperature of each layer in the multiple temperature determination branches of the user's individual temperature and coldness decision tree model. Decision-making conditions are compared to determine the target temperature determination branch. Each temperature determination branch in the model is executed independently. The output value of the user's individual temperature and cold feeling decision tree model corresponding to the target temperature determination branch is obtained, and the temperature and cold corresponding to the output value are obtained. Sensing state is the target user's sense of warmth and coldness. For example, an output value of -1 means that the user is cold; an output value of 0 means that the user is neither cold nor hot, that is, a neutral state; an output value of 1 means that the user is warm. Then, the target temperature is adjusted according to the user's current temperature and cold feeling state, and the compressor frequency, fan speed, air guide direction, etc. of the air conditioner are adjusted according to the adjusted target temperature, thereby improving user comfort and meeting the user's personalized comfort. need.

The process of the controller identifying the user's state of warmth and coldness will be described below with reference to the user's individual warmth and coldness decision tree model shown in Figure 4-7.

After the user activates the user's individual comfort model, the controller 30 obtains the average facial temperature represented by T _face , the hand temperature represented by T _hand, and the indoor environment temperature represented by T _indoor , and inputs T _face , T _hand and T _indoor to the user An individual body temperature decision tree model, 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 determination 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 temperature and cooling status.

As shown in Figures 4-7, each temperature determination branch is explained. In the user's individual temperature and cold feeling decision tree model 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. The temperature decision conditions of the second layer and the different branches continuing downward are identified with different temperature decision conditions. Among them, in the embodiment, in the user's individual temperature and cold feeling decision tree model, the average facial temperature, hand temperature and indoor environment temperature have different temperatures under different decision conditions. For example, the thresholds of each decision condition for the average facial temperature are The threshold value of each decision condition for hand temperature is between 32.95℃ and 36.55℃, and the threshold value for each decision condition for indoor ambient temperature is between 22.25℃ and 30.85℃. The value, and the temperature change of the same part can be in the range of 0.1℃-0.5℃, which is more precise and the temperature and cold state identification is more accurate.

In some embodiments, as shown in Figure 4, the controller 30 is configured to: determine whether the hand temperature satisfies T _hand ≤ _{T hand setting 1} ; if it does not satisfy T _hand ≤ _{T hand setting} 1 ₁ , then enter the ① process, as shown in Figure 5 for details. If T _hand ≤ T _{hand setting 1 is} satisfied, then further judge whether the indoor environment temperature T _indoor ≤ T _{indoor setting 1} is satisfied; if T _{indoor ≤ T indoor setting 1 is satisfied, then further judge whether the indoor environment temperature T indoor} ≤ _{T indoor setting 1} is satisfied. The average temperature of the face is T _face ≤ T _{face set 1} ; if T _face ≤ _{T face set 1} is not satisfied, the target temperature determination branch is determined to be the first temperature determination branch, and the user's individual temperature and cold feeling decision tree model is obtained The output value corresponding to the first temperature determination branch is a neutral output value. For example, if the output is 0, then the temperature and cold feeling state of the target user 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 user's individual comfort needs.

If T _face ≤ T _{face set 1} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor set 2} is satisfied, where T _{indoor set 2} < T _{indoor set 1} ; if T _indoor ≤ T _{Indoor setting 2} , determine the target temperature determination branch as the second temperature determination branch, obtain the output value of the user's individual temperature and cold feeling decision tree model corresponding to the second temperature determination branch as a neutral output value, for example, the output is 0 , then the target user's temperature and cold feeling 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 determine whether the average facial temperature T _facial ≤ T _{facial setting 2} is satisfied, where T _{facial setting 2} < T _{facial setting 1} ; if T _facial ≤ T _{face setting 2} , then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor setting 3} is satisfied, where T _{indoor setting 2} < T _{indoor setting 3} ; if T _indoor ≤ _{T indoor setting 3} is not satisfied , then it is determined that the target temperature determination branch is the third temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the third temperature determination branch is obtained as a thermal bias output value. For example, the output is 1, then the target The user's temperature and cooling state is warm. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _indoor ≤ T _{indoor setting 3} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 4} is satisfied, where T _{indoor setting 4} < T _{indoor setting 3} ; if T _indoor ≤ T _{If the indoor setting is 4} , then the target temperature determination branch is determined to be the fourth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fourth temperature determination branch is obtained as a thermal bias output value, for example, the output is 1, then the target user’s temperature-cold feeling state is hot. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

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

In some embodiments, as shown in Figure 4, the controller 30 is further configured to: if T _face ≤ _{T face setting 2} is not satisfied, then further determine whether the average facial temperature T _face ≤ _{T face setting 3} is satisfied, Among them, T _{face setting 2} < T _{face setting 3} ; if T _face ≤ T _{face setting 3} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 2} is satisfied, where T _{hand Hand setting 2} < T _{hand setting 1} ; if T _hand ≤ _{T hand setting 2} is not satisfied, the target temperature determination branch is determined to be the sixth temperature determination branch, and the user's individual temperature and cold feeling decision is obtained 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 temperature and cold feeling state of the target user is neutral; that is, the user currently feels neither cold nor hot. At this time, it can be maintained The currently set target temperature means that the air conditioner can currently meet the user's individual comfort needs.

If T _hand ≤ T _{hand setting 2} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 3} is satisfied, where T _{hand setting 3} < T _{hand setting 2} ; If T _hand ≤ T _{hand setting 3} is satisfied, the target temperature determination branch is determined to be the seventh temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the seventh temperature determination branch is obtained. If the output value is cold, for example, the output is -1, then the target user's warm-cold feeling state is cold. That is, if the current temperature felt by the user is low, the currently set target temperature is increased to increase the user's perceived temperature and improve comfort.

If T _hand ≤ T _{hand setting 3} is not satisfied, the target temperature determination branch is determined to be the eighth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the eighth temperature determination branch is obtained. The value is a cold output value. For example, if the output is -1, then the target user's warm-cold feeling state is cold. That is, if the current temperature felt by the user is low, the currently set target temperature is increased to increase the user's perceived temperature and improve comfort.

In some embodiments, as shown in Figure 4, the controller 30 is also configured to: if T _face ≤ _{T face setting 3} is not satisfied, then further determine whether the average facial temperature T _face ≤ _{T face setting 4} is satisfied, Among them, T _{face setting 3} < T _{face setting 4} ; if T _face ≤ T _{face setting 4} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 4} is satisfied, where T _{hand Hand setting 2} < T _{hand setting 4} ; if T _hand ≤ _{T hand setting 4} is satisfied, then the target temperature determination branch is determined to be the ninth temperature determination branch, and the user's individual temperature and cold feeling decision tree is obtained 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, then the target user's state of feeling cold is cold. That is, if the current temperature felt by the user is low, the currently set target temperature is increased to increase the user's perceived temperature and improve comfort.

If T _hand ≤ T _{hand setting 4} is not satisfied, the target temperature determination branch is determined to be the tenth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the tenth temperature determination branch is obtained. The value is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 User’s individual comfort needs.

In some embodiments, as shown in Figure 4, the controller 30 is also configured to: if T _face ≤ _{T face setting 4} is not satisfied, then further determine whether the average facial temperature T _face ≤ _{T face setting 5} is satisfied, Among them, T _{face setting 4} < T _{face setting 5} ; if T _face ≤ T _{face setting 5} is satisfied, the target temperature determination branch is determined to be the eleventh temperature determination branch, and the user's individual temperature and cold feeling decision is obtained 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, then the target user's temperature-cold feeling state is cold. That is, if the current temperature felt by the user is low, the currently set target temperature is increased to increase the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 5} is not satisfied, the target temperature determination branch is determined to be the twelfth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the twelfth temperature determination branch is obtained. The value is a cold output value. For example, if the output is -1, then the target user's warm-cold feeling state is cold. That is, if the current temperature felt by the user is low, the currently set target temperature is increased to increase the user's perceived temperature and improve comfort.

In some embodiments, as shown in Figure 4, the controller 30 is configured to: if T _indoor ≤ T _{indoor setting 1} is not satisfied, then further determine whether the average facial temperature T _face ≤ T _{facial setting 6} is satisfied, Among them, T _{face setting 1} < T _{face setting 6} ; if T _face ≤ T _{face setting 6} is not satisfied, the target temperature determination branch is determined to be the thirteenth temperature determination branch to obtain the user's individual temperature and cold feeling. 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, then the target user's temperature and cold feeling 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 _face ≤ T _{face setting 6} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 5} is satisfied, where T _{hand setting 5} < T _{hand setting 1} ; if it is satisfied T _hand ≤ T _{hand setting 5} , then the target temperature determination branch is determined to be the fourteenth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fourteenth temperature determination branch is obtained. is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 satisfy the user. Individual comfort needs.

If T _hand ≤ _{T hand setting 5} is not satisfied, then further determine whether the facial average temperature T _face ≤ T _{face setting 7 is} satisfied, where T _{face setting 7} < T _{face setting 6} ; if T is satisfied _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 temperature and cold feeling decision tree model corresponding to the fifteenth temperature determination branch is obtained to be neutral. For example, if the output value is 0, then the target user's temperature and cold feeling 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. need.

If T _face ≤ T _{face setting 7} is not satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 6} is satisfied, where T _{hand setting 5} < T _{hand setting 6} ; if If T _hand ≤ T _{hand 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 temperature and cold feeling decision tree model corresponding to the sixteenth temperature determination branch is obtained. The value is the thermal bias output value. For example, if the output is 1, then the target user's temperature-cold feeling state is thermal bias. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _hand ≤ T _{hand setting 6} is not satisfied, the target temperature determination branch is determined to be the seventeenth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the seventeenth temperature determination branch is obtained. The output value is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 current setting of the air conditioner Able to meet users' individual comfort needs.

In some embodiments, as shown in Figure 5, the controller 30 is also configured to: if T _hand ≤ _{T hand setting 1} is not satisfied, then execute the ① process, which specifically includes: further determining whether the indoor ambient temperature is satisfied. T _indoor ≤ T _{indoor setting 5} , where T _{indoor setting 1} < T _{indoor setting 5} ; if T _indoor ≤ T _{indoor setting 5} is not satisfied, enter the ② process, as shown in Figure 6 for details. If T _indoor ≤ T _{indoor setting 5} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 7} is satisfied, where 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 to be the eighteenth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the eighteenth temperature determination branch is obtained. is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 satisfy the user. Individual comfort needs.

If T _hand ≤ _{T hand setting 7} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 6} is satisfied, where T _{indoor setting 6} < T _{indoor setting 5} ; if T is satisfied _Indoor ≤ T _{indoor setting 6} , then the target temperature determination branch is determined to be the nineteenth temperature determination branch, and the output value corresponding to the nineteenth temperature determination branch of the user's individual temperature and cold feeling decision tree model is obtained to be neutral. For example, if the output value is 0, then the target user's temperature and cold feeling 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. need.

If T _indoor ≤ T _{indoor setting 6} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 7} is satisfied, where T _{indoor setting 6} < T _{indoor setting 7} ; if T _indoor is not satisfied ≤T _{indoor setting 7} , then the target temperature determination branch is determined to be the twentieth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the twentieth temperature determination branch is obtained as a neutral output For example, if the output value is 0, then the target user's temperature and cold feeling 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 7} is satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 8} is satisfied, where T _{facial setting 1} < T _{facial setting 8} ; if T _facial ≤ T _{If the face is set to 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 temperature and cold feeling decision tree model corresponding to the twenty-first temperature determination branch is obtained as the thermal bias output. For example, if the output value is 1, then the target user's temperature and cooling state is warm. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 8} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 8} is satisfied, where T _{indoor setting 8} < T _{indoor setting 7} ; if T _indoor ≤ T _{indoor setting is 8} , then the target temperature determination branch is determined to be the twenty-second temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the twenty-second temperature determination branch is obtained to be neutral. For example, if the output value is 0, then the target user's temperature and cold feeling 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. need.

If T _indoor ≤ T _{indoor setting 8} is not satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 9} is satisfied, where T _{facial setting 8} < T _{facial setting 9} ; if T _facial ≤ T _{face is set to 9} , then the target temperature determination branch is determined to be the twenty-third temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the twenty-third temperature determination branch is obtained to be neutral. For example, if the output value is 0, then the target user's temperature and cold feeling 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. need.

If T _face ≤ T _{face setting 9} is not satisfied, the target temperature determination branch is determined to be the twenty-fourth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-fourth temperature determination branch is obtained. The output value is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 current setting of the air conditioner Able to meet users' individual comfort needs.

In some embodiments, as shown in Figure 6, the controller 30 is also configured to: if T _indoor ≤ _{T indoor setting 5} is not satisfied, then execute the ② process, which specifically includes: further determining whether the hand temperature T _hand is satisfied. _Hand ≤ T _{hand setting 8} , where T _{hand setting 7} < T _{hand setting 8} ; if T _hand ≤ T _{hand setting 8} is not satisfied, then enter the ③ process, as shown in Figure 7 . If T _hand ≤ T _{hand setting 8} is satisfied, then further determine whether the facial average temperature T _face ≤ T _{face setting 10} is satisfied, where T _{face setting 10} < T _{face setting 8} ; if T _face is satisfied ≤T _{face setting 10} , then the target temperature determination branch is determined to be the twenty-fifth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the twenty-fifth temperature determination branch is obtained. For example, if the output value is 0, the target user's temperature and cold feeling 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. sexual needs.

If T _face ≤ T _{face setting 10} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor setting 9} is satisfied, where T _{indoor setting 5} < T _{indoor setting 9} ; if T _indoor ≤ T _{indoor setting 9} , then further determine whether the average facial temperature T _face ≤ _{T face setting 11} is satisfied, where T _{face setting 10} < T _{face setting 11} ; if T _face ≤ T _{face setting 11} is satisfied, Then further determine whether the average facial temperature T _face ≤ _{T face setting 12} is satisfied, where T _{face setting 12} < T _{face setting 11} ; if T _face ≤ T _{face setting 12} is satisfied, then the target temperature is determined The determination branch is the twenty-sixth temperature determination branch. The output value of the decision tree model for obtaining the user's individual temperature and cold feeling corresponding to the twenty-sixth temperature determination branch is a neutral output value. For example, the output is 0, then the temperature of the target user The cold feeling 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 _face ≤ T _{face setting 12} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 10} is satisfied, where T _{indoor setting 10} < T _{indoor setting 9} ; if T _indoor ≤ T _{indoor is set to 10} , then the target temperature determination branch is determined to be the twenty-seventh temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the twenty-seventh temperature determination branch is obtained as hot. For example, if the output value is 1, then the target user's temperature-cold feeling state is warm. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _indoor ≤ T _{indoor setting 10} is not satisfied, the target temperature determination branch is determined to be the twenty-eighth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-eighth temperature determination branch is obtained. The output value is a hot-biased output value. For example, if the output is 1, then the target user's temperature-cold feeling state is hot-biased. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

In some embodiments, as shown in Figure 6, the controller 30 is also configured to: if T _face ≤ T _{face setting 11} is not satisfied, then further determine whether the indoor ambient temperature T _indoor ≤ _{T indoor setting 11} is satisfied, Among them, T _{indoor setting 11} < T _{indoor setting 10} ; if T _indoor ≤ T _{indoor setting 11} is not satisfied, the target temperature determination branch is determined to be the twenty-ninth temperature determination branch, and the user's individual temperature and coldness are 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, then the target user's temperature and cold feeling state is neutral; that is, the user currently feels neither cold nor hot. , 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 11} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 9} is satisfied, where T _{hand setting 9} < T _{hand setting 8} ; if it is satisfied T _hand ≤ T _{hand setting 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 temperature and cold feeling decision tree model corresponding to the thirtieth temperature determination branch is obtained. For example, if the output value is 1, then the target user's warm-cold feeling state is hot. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _hand ≤ T _{hand setting 9} is not satisfied, the target temperature determination branch is determined to be the thirty-first temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-first temperature is obtained. The output value of the determination branch is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 The device is currently able to meet the individual comfort needs of users.

In some embodiments, as shown in Figure 6, the controller 30 is configured to: if T _indoor ≤ T _{indoor setting 9} is not satisfied, then further determine whether the average facial temperature T _face ≤ _{T facial setting 13} is satisfied, Among them, T _{face setting 11} < T _{face setting 13} ; if T _face ≤ T _{face setting 13} is not satisfied, the target temperature determination branch is determined to be the thirty-second temperature determination branch, and the user's individual temperature and coldness are obtained. The output value of the sensory decision tree model corresponding to the thirty-second temperature determination branch is a hot-biased output value. For example, if the output is 1, then the target user's temperature-cold feeling state is hot-biased. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 13} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 10 is} satisfied, where T _{hand setting 10} < T _{hand setting 8} ; if it is satisfied T _hand ≤ _{T hand setting 10} , then further determine whether the hand temperature T _hand ≤ T _{hand setting 11} is satisfied, where T _{hand setting 11} < T _{hand setting 10} ; if it is satisfied T _hand ≤ T _{hand setting 11} , then the target temperature determination branch is determined to be the thirty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-third temperature determination branch is obtained. The output value is a thermal output value. For example, if the output is 1, the target user's temperature and cold feeling state is thermal. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _hand ≤ T _{hand setting 11} is not satisfied, the target temperature determination branch is determined to be the thirty-fourth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-fourth temperature is obtained. The output value of the determination branch is a thermal bias output value. For example, if the output is 1, then the target user's temperature-cold feeling state is thermal bias. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

In some embodiments, as shown in Figure 6, the controller 30 is configured to: if T _hand ≤ _{T hand setting 10} is not satisfied, then further determine whether the hand temperature T _hand ≤ T is satisfied. _{Hand setting 12} , where T _{hand setting 10} < T _{hand setting 12} ; 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, obtain the user's individual temperature and cold feeling decision tree model and the output value corresponding to the thirty-fifth temperature determination branch is a neutral output value. For example, if the output is 0, then the target user's temperature and cold feeling state is neutral; that is, the user It 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 _hand ≤ T _{hand setting 12} is not satisfied, the target temperature determination branch is determined to be the thirty-sixth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-sixth temperature is obtained. The output value of the determination branch is a thermal bias output value. For example, if the output is 1, then the target user's temperature-cold feeling state is thermal bias. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

In some embodiments, as shown in Figure 7, the controller 30 is also configured to: if T _hand ≤ _{T hand setting 8} is not satisfied, then execute the ③ process, which specifically includes: further determining whether the hand temperature is satisfied. T _hand ≤ T _{hand setting 13} , where T _{hand setting 8} < T _{hand setting 13} ; if T _hand ≤ T _{hand setting 13} is satisfied, then further determine whether the average facial temperature is satisfied T _face ≤ _{T face setting 14} , where T _{face setting 11} < T _{face setting 14} ; if T _face ≤ T _{face setting 14} is satisfied, then further determine whether the hand temperature T _hand ≤ T _hand is satisfied. _{Hand setting 14} , where T _{hand setting 14} < T _{hand setting 13} ; if T _hand ≤ T _{hand setting 14} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor equipment} is satisfied. _{Determine 12} , where T _{indoor setting 5} < T _{indoor setting 12} ; if T _indoor ≤ T _{indoor setting 12} is not satisfied, then the target temperature determination branch is determined to be the thirty-seventh temperature determination branch, and the user The output value of the individual body temperature decision tree model corresponding to the thirty-seventh temperature determination branch is a neutral output value. For example, if the output is 0, then the target user's body temperature state is neutral; that is, the user does not currently feel cold or cold. 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 12} is satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 15} is satisfied, where T _{facial setting 15} < T _{facial setting 14} ; if T _facial ≤ T is satisfied _{If the face is set to 15} , it is determined that the target temperature determination branch is the thirty-eighth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the thirty-eighth temperature determination branch is obtained as the thermal bias output For example, if the output value is 1, then the target user's temperature and cooling state is warm. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 15} is not satisfied, the target temperature determination branch is determined to be the thirty-ninth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-ninth temperature determination branch is obtained The output value is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 current setting of the air conditioner Able to meet users' individual comfort needs.

In some embodiments, as shown in Figure 7, the controller 30 is configured to: if T _hand ≤ _{T hand setting 14} is not satisfied, then further determine whether the indoor ambient temperature T _indoor ≤ T _{indoor is} satisfied. _{Set 13} , where T _{indoor setting 12} < T _{indoor setting 13} ; if T _indoor ≤ T _{indoor setting 13} is not satisfied, the target temperature determination branch is determined to be the fortieth temperature determination branch, and the user is obtained The output value of the individual body temperature decision tree model corresponding to the fortieth temperature determination branch is a warm output value. For example, if the output is 1, then the target user's state of the target user's body temperature is hot. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _indoor ≤ T _{indoor setting 13} is satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 16} is satisfied, where T _{facial setting 15} < T _{facial setting 16} ; if T _facial ≤ T is satisfied _{If the face is set to 16} , the target temperature determination branch is determined to be the forty-first temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the forty-first temperature determination branch is obtained as a neutral output. For example, if the output value is 0, then the target user's temperature and cold feeling 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 _face ≤ T _{face setting 16} is not satisfied, the target temperature determination branch is determined to be the forty-second temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-second temperature determination branch is obtained. The output value is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 current setting of the air conditioner Able to meet users' individual comfort needs.

In some embodiments, as shown in FIG. 7 , the controller 30 is configured to: if T _face ≤ T _{face setting 14} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting} 14 is satisfied. ₁₄ , where T _{indoor setting 12} < T _{indoor setting 14} ; if T _indoor ≤ T _{indoor setting 14} is satisfied, then further determine whether the indoor ambient temperature T _indoor ≤ T _{indoor setting 15} is satisfied, where T _{indoor Setting 15} <T _{indoor setting 14} ; if T _indoor ≤ T _{indoor setting 15} is satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 17} is satisfied, where T _{facial setting 14} < T _{facial Setting 17} ; if T _face ≤ T _{face setting 17} is satisfied, then the target temperature determination branch is determined to be the forty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-third temperature determination branch is obtained. The output value of the temperature determination branch is a thermal bias output value. For example, if the output is 1, then the target user's temperature-cold feeling state is thermal bias. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 17} is not satisfied, the target temperature determination branch is determined to be the forty-fourth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-fourth temperature determination branch is obtained. The output value is a hot-biased output value. For example, if the output is 1, then the target user's temperature-cold feeling state is hot-biased. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

In some embodiments, as shown in Figure 7, the controller 30 is configured to: if T _indoor ≤ _{T indoor setting 15} is not satisfied, then further determine whether the average facial temperature T _face ≤ T _{facial setting 18} is satisfied, Among them, 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 temperature and cold feeling is obtained The output value of the decision tree model corresponding to the forty-fifth temperature determination branch is a hot-biased output value. For example, if the output is 1, then the target user's temperature-cold feeling state is hot-biased. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 18} is not satisfied, the target temperature determination branch is determined to be the forty-sixth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-sixth temperature determination branch is obtained. The output value is a neutral output value. For example, if the output is 0, the target user's temperature and cold feeling 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 current setting of the air conditioner Able to meet users' individual comfort needs.

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

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

In some embodiments, as shown in Figure 7, the controller 30 is configured to: if T _hand ≤ _{T hand setting 13} is not satisfied, then further determine whether the indoor ambient temperature T _indoor ≤ T _{indoor is} satisfied. _{Setting 17} , 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 all the temperature determination branches are obtained. The output value of the user's individual temperature and cold feeling decision tree model corresponding to the forty-ninth temperature determination branch is a neutral output value. For example, if the output is 0, then the target user's temperature and cold feeling state is neutral; that is, the user does not currently feel cold. It is not hot either. 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 17} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 18} is satisfied, where the T _{indoor setting 17} < T _{indoor setting 18} ; if T is satisfied _Indoor ≤ T _{indoor setting 18} , then the target temperature determination branch is determined to be the fiftieth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fiftieth temperature determination branch is obtained as hot. For example, if the output value is 1, then the target user's temperature-cold feeling state is warm. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _indoor ≤ T _{indoor setting 18} is not satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 19} is satisfied, where T _{facial setting 14} < T _{facial setting 19} ; if T _{facial setting} 19 is not satisfied. ≤T _{face setting 19} , then the target temperature determination branch is determined to be the fifty-first temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fifty-first temperature determination branch is obtained. For example, if the output value is 0, the target user's temperature and cold feeling 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. sexual needs.

If T _face ≤ _{T face setting 19} is satisfied, then further determine whether the facial average temperature T _face ≤ T _{face setting 20} is satisfied, where T _{face setting 20} <T _{face setting 19} ; if T _face ≤ T is satisfied _{Face setting 20} , determine the target temperature determination branch as the fifty-second temperature determination branch, and obtain the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fifty-second temperature determination branch as the thermal bias output value For example, if the output is 1, the target user's state of warmth and coldness is warm. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

If T _face ≤ T _{face setting 20} is not satisfied, the target temperature determination branch is determined to be the fifty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the fifty-third temperature determination branch is obtained. The output value is a thermal output value. For example, if the output is 1, the target user's temperature and cold feeling state is thermal. That is, if the user's current temperature is too high, the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.

The above is the process of determining the user's warmth and coldness status using the user's individual warmth and coldness decision tree model as shown in Figure 4-7. It is understandable that the identification process of the user's individual warmth and coldness 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 of each node of each branch are different from the disclosed model.

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-mentioned user's individual warmth and coldness decision tree model, the controller 30 is also configured to periodically calculate the average facial temperature, hand temperature, and hand temperature. The temperature and indoor ambient temperature are input into the user's individual temperature and cold feeling decision tree model to obtain a preset number of output values output by the user's individual temperature and cold feeling decision tree model. The preset number of output values are counted and classified, and the output values are included. The warm-cold feeling state corresponding to the output value in the most categories is used as the warm-cold feeling state of the target user. As a result, the accuracy of identifying the user's individual warmth and coldness can be improved, and the model can also perform machine learning on its own to further optimize, further improving the accuracy of the identification results and forming a virtuous cycle.

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

For example, as shown in FIG. 8 , it is a flow chart of the overall operation logic of the comfort control of the air conditioner according to one embodiment of the present disclosure. Among them, if the controller 30 outputs a temperature bias (1) through the user's individual temperature and cold decision tree model, the controller 30 sends a cooling signal to reduce the temperature by 1°C based on the existing set temperature. If the controller 30 passes the user's individual temperature The output of the cold feeling decision tree model is cold (-1), and the controller 30 sends a temperature increase signal to increase 1°C based on the existing set temperature. If the controller 30 passes the user's individual temperature and cold feeling decision tree model, the output is neutral. (0), the controller 30 keeps the existing settings unchanged, and each judgment period is based on the air conditioner feedback time. If the temperature and cold feeling predictions for three consecutive cycles are all cold (or hot), it is considered that the user's individual feeling of cold and heat is strong, and the wind speed needs to be increased by one gear. Otherwise, the air conditioner wind speed remains unchanged at the original setting.

In some embodiments, the second aspect of the present disclosure also provides a control method for an air conditioner. The control method can be executed by a controller of the air conditioner. The control method includes: obtaining the facial temperature and hand temperature of the target user. and indoor ambient temperature; obtain the facial average temperature of the facial temperature, input the facial average temperature, hand temperature and indoor ambient temperature into the user's individual temperature and cold feeling decision tree model, wherein the user's individual temperature and cold feeling decision tree model is configured with There are at least eight layers of temperature decision-making condition sets, and at least eight layers of temperature decision-making condition sets constitute multiple temperature decision branches. The first layer of temperature decision-making condition sets includes: decision conditions based on the hand temperature, and the second layer of temperature decision-making 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 facial temperature and the hand temperature. The fourth-layer temperature decision-making conditions include: Decision-making conditions based on the indoor ambient temperature, the hand temperature and the average facial temperature, the fifth layer temperature decision-making conditions include: decision-making conditions based on the average facial temperature and the indoor ambient temperature, The sixth layer temperature decision-making conditions include: decision-making conditions based on the indoor environment temperature, the average facial temperature and the hand temperature; the seventh-layer temperature decision-making conditions include: the indoor environment temperature, the hand temperature Decision-making conditions based on the hand temperature and the average facial temperature. The eighth layer temperature decision-making conditions include: decision-making conditions based on the hand temperature, the average facial temperature and the indoor ambient temperature; based on the user's individual temperature The output value of the cold feeling decision tree model determines the warm and cold feeling state of the target user; the current set target temperature is adjusted according to the warm and cold feeling state, and the operation of the air conditioner is controlled 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 facial temperature, and how to specifically obtain the average temperature of the face based on the decision tree model of the user's individual temperature and cold feeling. To identify the user's current temperature and cold feeling status, refer to the above description and will not be repeated here.

As mentioned above, in view of the different thermal comfort needs of individual users, the present invention uses artificial intelligence technology based on big data to establish a user's individual temperature and cold feeling decision tree model, self-learns the changing rules of the user's temperature and cold feeling, accurately identifies the user's individual thermal comfort needs, and conducts personalized Thermal comfort control meets the differentiated and personalized comfort control requirements of different users. At the same time, it makes up for the shortcomings of the PMV prediction comfort model based on the general population in weakening individual differences, so that the air conditioner 1 not only meets the comfort needs of the general population, but also can realize the personalized comfort needs of individual home users.

In the embodiment, for example, for individual users, for example, there is only one user in the room, the user selects the user's individual comfort mode, or the air conditioner 1 detects that there is only one user in the room and automatically activates the user's individual comfort mode, then the air conditioner 1 can be implemented according to the above As described in the example, the user's individual comfort mode is implemented to improve the user's individual comfort. However, when there are many people in the room, the air conditioner 1 will run the TMS (Thermaland Humidity Management System) comfort mode based on the PMV predictive comfort model that is suitable for the general population.

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

For the user individual comfort mode, as shown in Figure 9, when the air conditioner 1 is running, the user individual comfort mode is activated, 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 The facial temperature, hand temperature and indoor ambient temperature are used to call the user's individual temperature and cold decision tree model, and then the target temperature is adjusted according to the model output value, and then the air conditioner is controlled to operate based on the adjusted target temperature to meet the personalization of individual users. Comfort needs and improve user comfort.

The following describes the TMS comfort mode based on the PMV predictive comfort model.

In some embodiments, the TMS comfort mode can effectively adjust the air conditioner cooling/heating comfort control method, effectively solve the technical problem of how to control the air conditioner through temperature indicators and humidity indicators, and integrate the entire comfort cooling/heating comfort mode. The thermal stage is divided into three stages: initial comfort stage + stable comfort stage + health and comfort stage, which not only effectively meets people's perfect experience of cooling comfort requirements, but also achieves the perfect combination of comfort and energy saving: the health and comfort stage, according to the heat of the human body Adaptability characteristics, the target set temperature is increased by 1℃, that is, Ts_ knot = Ts_comfort + 1℃, achieving the purpose of both comfort and energy saving.

In the embodiment, the TMS comfort mode first relies on the temperature and humidity target value for addressing. The temperature and humidity addressing rules are based on the calculation of the predicted average thermal feeling index value of the human body thermal feeling index PMV. Through calculation, a "comfort temperature and humidity reference table ( PMV value within ±0.5)" is used as the benchmark table for air conditioner comfort control. The air conditioner detects the outdoor ambient temperature Tout, indoor ambient temperature Tin, and indoor relative humidity Rh through sensors. According to the obtained outer ring Tout, enter the corresponding temperature zone, combine the thermal resistance clo of the human body wearing clothing, and the metabolic rate M of human activity to obtain different temperature compensation values T, and determine the specific operating mode of the air conditioner (cooling/heating/air supply) . Then according to the comfort temperature and humidity reference table, the obtained indoor relative humidity Rh is used as a pointer to address in the reference table to determine the target setting temperature Ts_shu in the stable comfort stage, and the air conditioner operates with Ts_shu as the target setting value.

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

Table 1 below shows the names and meanings of each symbol in the TMS comfort mode description.

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 its own configured sensors. Enter the corresponding divided temperature zone according to the obtained Tout to determine the next specific operating mode (cooling/heating/air supply). Every 2 hours, a new operating temperature zone is determined based on the external ambient temperature Tout. If it is still in the original operating temperature zone, it will continue to operate in the original mode and stage; if it is in the new temperature zone, it will interrupt the original operating mode and enter a new specific sub-mode operation based on the inner ring temperature Tin and indoor relative humidity Rh of the new temperature zone. In case of 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, the corresponding temperature zone is entered according to the obtained Tout, and the mode to be entered is determined, including cooling, heating, air supply, etc., and then according to the rules in different modes. Addressing, as detailed below.

Table 2 Comfort temperature and humidity reference table

Table 3 Temperature compensation value table

Outdoor ambient temperature Tout(℃) Clothing thermal resistance clo Human metabolic rate M Comfort temperature compensation value T _{compensation (} ℃) ＞24(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 runs in the cooling mode, as shown in Figure 10, the addressing process is as follows:

Baseline comfort table according to Table 3. If Rh﹤30% (the lower limit of comfort humidity in the comfort table), the lowest temperature corresponding to Rh30% in the comfort table is _{Ts_chu} ( _{Ts_chu} =24.5℃); if Rh﹥65% (the upper limit of comfort humidity in the comfort table) , the lowest temperature corresponding to Rh65% in the comfort table is _{Ts_chu} ( _{Ts_chu} =23.5℃); if 65%≥Rh≥30% (the upper and lower limits of comfort humidity in the comfort table), the temperature corresponding to the closest humidity in the comfort table is The lowest temperature is _{Ts_chu} (for example, Rh=43%, the closest humidity in the comfort table is Rh=45%, then the lowest temperature corresponding to Rh=45% is _{Ts_chu} =24°C). In the comfort table, the average value (25.25°C) of the sum of the upper limit of comfort humidity (26.5°C) + the lower limit of comfort humidity (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 heating mode, as shown in Figure 11, the addressing process is as follows:

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

In some embodiments, if the air conditioner operates in the air supply mode, the air conditioner does not perform addressing.

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

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

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

In the initial comfort stage of dehumidification: Ts= _{Ts_Initial} + _TSupplement , the air conditioner's display screen _{Ts_Comfort} +TSupplement and the air conditioner displays the icon of the TMS comfort mode operating stage change), when E≤0.5℃ and the accumulated value is 5min or (Tin -( _{Ts_Shu} + _TSupplement ))≤-0.5℃ and the total time is 15min, it enters the stable comfort stage of dehumidification//(Tin-( _{Ts_Comfort} + _TSupplement ))≤-0.5℃, indicating that the initial comfort stage set temperature cannot be reached. But the set temperature has reached the stable and comfortable stage.

Dehumidification stable and comfortable stage: Ts (1) = _{Ts_initial} + T _supplement + 0.5°C, increasing by 0.5°C every 5 minutes, that is, Ts (n + 1) = Ts (n) + 0.5°C, until Ts (n + 1) = _{Ts_shu} +T _complement , n is a natural number ≥1. //Adopt a recursive increasing function to prevent the compressor from shutting down when the set temperature changes due to large changes in the set temperature during stage conversion. When E ≤ -0.5℃ and lasts for 30 minutes (timing starts from Ts(n+1)=Ts_shu+Tsupply), it enters the healthy and comfortable stage of dehumidification.

Dehumidification healthy and comfortable stage: Ts(1)= _{Ts_shu} + _Tsupplement +0.5℃, increase by 0.5℃ every 5 minutes, that is, Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_section} +T _complement , n is a natural number ≥1. //Adopt a recursive increasing function to prevent the compressor from shutting down when the set temperature changes due to large changes in the set temperature during stage conversion.

⑵If Tin≤28℃ and Rh<65%, enter the air supply mode.

⑶If Tin＞28℃, enter cooling mode. Look up Table 2 and Table 3 to obtain _{Ts_initial} , _{Ts_comfort} , _{Ts_knot} (where _{Ts_knot} = _{Ts_comfort} + 1°C) and T supplementary values in cooling mode, and enter the initial comfort stage of cooling.

Initial comfort stage of cooling: Ts= _{Ts_Initial} + _TSupplement //(The display screen _{Ts_Initial} + _Tsupplement and there is an icon of TMS comfort mode operating stage change), when E≤0.5℃ and the accumulation is 5min or (Tin-( _{Ts_Initial} + T _Supplement )) ≤ -0.5℃ and accumulated for 15 minutes, it enters the cooling stable comfort stage // (Tin-( _{Ts_Initial} + T _Supplement )) ≤ -0.5℃ means that the set temperature of the initial comfort stage cannot be reached, but stable comfort is achieved Stage set temperature.

Cooling stable and comfortable stage: Ts(1)= _{Ts_initial} + _Tsupplement +0.5℃, increasing by 0.5℃ every 5 minutes, that is, Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_shu} +T _complement , n is a natural number ≥1. //Adopt a recursive increasing function to prevent the compressor from shutting down when the set temperature changes due to large changes in the set temperature during stage conversion. When E ≤ -0.5℃ and lasts for 30 minutes (timing starts from Ts(n+1)= _{Ts_comfort} + _Tsupply ), it enters the cooling health and comfort stage.

Cooling health and comfort stage: Ts(1)= _{Ts_comfort} + _Tsupplement +0.5℃, increasing by 0.5℃ every 5 minutes, that is, Ts(n+1)=Ts(n)+0.5℃, until Ts(n+1)= _{Ts_section} +T _complement , n is a natural number ≥1. //Adopt a recursive increasing function to prevent the compressor from shutting down when the set temperature changes due to large changes in the set temperature during stage conversion.

In some embodiments, the indoor fan operating status, compressor operating status and frequency, electric heating operating status, transverse air guide plates, longitudinal air guide plates, etc. in the initial comfort, stable comfort, and healthy 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 humidity of the indoor environment 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. At different wind speeds, the critical points of dry and wet conditions are different. The greater the wind speed, the higher the wind speed. The humidity control and moisturizing theory (such as Table 5 and Figure 13) of "high inlet relative humidity can enter the wet working condition; the smaller the wind speed, the wet working condition will be entered at the lower inlet relative humidity" (such as Table 5, Figure 13), proposes a The indoor fan comfort control method can better control the relative humidity of the indoor environment and keep it within the comfortable humidity range of the human body.

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

Based on the above theory of humidity control and moisturizing, an indoor fan comfort control method is proposed to better control the relative humidity of the indoor environment and maintain it within the range of human body comfortable humidity. The indoor fan comfort control method when the air conditioner operating mode is the cooling mode according to the embodiment of the present disclosure is described with reference to FIG. 14 .

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

Step S13, determine whether the air conditioner enters the cooling or dehumidification mode based on the indoor ambient temperature Tin, the outdoor ambient temperature Tout, and the indoor ambient relative humidity Rh.

Step S14, the air conditioner enters the cooling mode. Step S15, control the indoor fan speed.

Step S16: Determine whether the set temperature difference E is greater than the first set temperature, for example, 2°C. If yes, step S17 is executed; if not, step S18 is executed.

Step S17, control the indoor fan to run at the first windshield wind speed. Step S18, control the indoor fan to run at the second windshield wind speed. Step S19: Determine whether the set temperature difference E is less than or equal to the first set temperature, such as 2°C. If yes, execute step S18; if not, execute 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, execute step S21; if not, execute step S18.

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

Step S22: Determine whether the second temperature difference is greater than 6. If yes, execute step S23; if not, execute step S24.

Step S23, control the indoor fan to run at the third wind speed.

Step S24: Determine whether the second temperature difference is less than -6. If yes, execute step S25. If not, execute step S21.

Step S25, control 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 above describes the TMS comfort mode based on the PMV model in the embodiment of the present disclosure.

In summary, the air conditioner according to the embodiment of the present disclosure can set the user's individual comfort mode and the TMS comfort mode. Since the PMV model is an average thermal sensation prediction model based on the general population, it weakens the impact of individual user differences. In order to To meet the personalized and differentiated thermal comfort needs of home air conditioners, especially individual home users, use artificial intelligence technology based on big data to establish a user's individual temperature and cold feeling decision tree model, self-learn the changing rules of user's temperature and cold feeling, 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 shortcomings of the PMV prediction comfort model based on the general population in weakening individual differences, allowing the air conditioner to not only meet the comfort needs of the general population, but also realize the personalized comfort needs of individual household users.

The user's individual temperature and cold feeling decision tree model in the embodiment of the present disclosure is based on a machine learning method, and its accuracy depends largely on the amount of data involved in the training. Therefore, in practical applications, as the amount of data continues to increase, its accuracy Sexuality will also improve. Under ideal circumstances, the warm and cold sensation prediction model based on skin temperature can achieve fully automated control without the need for human intervention to adjust parameters.

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

Claims (22)

1. An air conditioner, characterized in that it includes: Human body temperature detection device, the human body temperature detection device is used to detect the facial temperature and hand temperature of the target user; 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 human body temperature detection device and the indoor temperature detection device, and the controller is configured as: Obtain the average facial temperature of the facial temperature, input the average facial temperature, the hand temperature and the indoor environment temperature into the user's individual temperature and coldness decision tree model, and according to the user's individual 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 warm and cold feeling state 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 determination branches, wherein the first layer of temperature decision condition sets includes: decision conditions based on the hand temperature. , the second layer of temperature decision condition set includes: decision conditions based on the indoor environment temperature, the third layer of temperature decision conditions includes: decision conditions based on the average facial temperature and the hand temperature, and the fourth layer The temperature decision conditions for the layer include: decision conditions based on the indoor ambient temperature, the hand temperature and the average facial temperature. The fifth layer temperature decision conditions include: the average facial temperature and the indoor ambient temperature. The decision-making conditions based on the temperature of the sixth layer include: the decision-making conditions based on the indoor ambient temperature, the average facial temperature and the hand temperature; the temperature decision-making conditions of the seventh layer include: the decision-making conditions of the indoor environment Decision-making conditions based on ambient temperature, the hand temperature and the average facial temperature. The eighth layer temperature decision-making conditions include: decision-making based on the hand temperature, the average facial temperature and the indoor ambient temperature. condition; When the controller determines the warm and cold feeling state of the target user, the controller is specifically configured to combine the average facial temperature, the hand temperature and the indoor environment temperature with the user's individual warm and cold feeling decision tree model. The multiple temperature determination branches composed of at least eight layers of temperature decision condition sets are compared to determine the target temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the target temperature determination branch is obtained. The warm and cold feeling state corresponding to the output value of the target temperature determination branch is used as the warm and cold feeling state of the target user. 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 forehead temperature, eye temperature, nose temperature and cheek temperature of the target user within a preset time period, and calculate the average forehead temperature, average eye temperature, and nose temperature within the preset time period. The average forehead temperature, the average eye temperature, the average nose temperature and the average cheek temperature are weighted to obtain the average facial temperature, where the average forehead temperature Weight>The weight of the eye temperature average>The weight of the nose temperature average>The weight of the cheek temperature average. 3. The air conditioner according to claim 1, wherein the controller is configured to: Determine whether the hand temperature satisfies T _hand ≤ _{T hand setting 1} ; If T _hand ≤ _{T hand setting 1} is satisfied, then further determine whether the indoor ambient temperature T _indoor ≤ _{T indoor setting 1} is satisfied; If T _indoor ≤ T _{indoor setting 1} is satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 1} is satisfied; If T _face ≤ T _{face setting 1} is not satisfied, the target temperature determination branch is determined to be the first temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the first temperature determination branch is obtained. If the output value is neutral, the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face set 1} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor set 2} is satisfied, where T _{indoor set 2} < T _{indoor set 1} ; If T _indoor ≤ T _{indoor setting 2} is satisfied, the target temperature determination branch is determined to be the second temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the second temperature determination branch is obtained as neutral. Output value, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 2} is not satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 2} is satisfied, where T _{facial setting 2} < T _{facial setting 1} ; If T _face ≤ T _{face setting 2} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor setting 3} is satisfied, where 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 to be the third temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the third temperature determination branch is obtained. If the output value is hot, then the target user's temperature and cold feeling state is hot; If T _indoor ≤ T _{indoor setting 3} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor setting 4} is satisfied, where 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 to be the fourth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fourth temperature determination branch is obtained as the bias The heat output value means that the target user's temperature and cooling state is hot; If T _indoor ≤ T _{indoor setting 4} is not satisfied, the target temperature determination branch is determined to be the fifth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fifth temperature determination branch is obtained. If the output value is cold, then the target user's warm-cold feeling state is cold. 4. The air conditioner according to claim 3, wherein the controller is further configured to: If T _face ≤ T _{face set 2} is not satisfied, then further determine whether the average facial temperature T _face ≤ _{T face set 3} is met, where T _{face set 2} < T _{face set 3} ; If T _face ≤ T _{face setting 3} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 2} is satisfied, where T _{hand setting 2} < T _{hand setting 1} ; If T _hand ≤ T _{hand setting 2} is not satisfied, the target temperature determination branch is determined to be the sixth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the sixth temperature determination branch is obtained. The value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _hand ≤ T _{hand setting 2} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 3} is satisfied, where T _{hand setting 3} < T _{hand setting 2} ; If T _hand ≤ T _{hand setting 3} is satisfied, the target temperature determination branch is determined to be the seventh temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the seventh temperature determination branch is obtained. is a cold output value, then the target user's warm-cold feeling state is cold; If T _hand ≤ T _{hand setting 3} is not satisfied, the target temperature determination branch is determined to be the eighth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the eighth temperature determination branch is obtained. The value is the cold output value, then the target user's warm-cold feeling state is cold. 5. The air conditioner according to claim 4, wherein the controller is configured to: If T _face ≤ T _{face set 3} is not satisfied, then further determine whether the average facial temperature T _face ≤ T _{face set 4} is met, where T _{face set 3} < T _{face set 4} ; If T _face ≤ T _{face setting 4} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 4} is satisfied, where T _{hand setting 2} < T _{hand setting 4} ; If T _hand ≤ T _{hand setting 4} is satisfied, the target temperature determination branch is determined to be the ninth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the ninth temperature determination branch is obtained. is a cold output value, then the target user's warm-cold feeling state is cold; If T _hand ≤ T _{hand setting 4} is not satisfied, the target temperature determination branch is determined to be the tenth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the tenth temperature determination branch is obtained. The value is a neutral output value, then the target user's warm and cold feeling state is neutral. 6. The air conditioner according to claim 5, wherein the controller is configured to: If T _face ≤ T _{face set 4} is not satisfied, then further determine whether the facial average temperature T _face ≤ _{T face set 5} is met, where T _{face set 4} < T _{face set 5} ; If T _face ≤ T _{face setting 5} is satisfied, the target temperature determination branch is determined to be the eleventh temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the eleventh temperature determination branch is obtained. is a cold output value, then the target user's warm-cold feeling state is cold; If T _face ≤ T _{face setting 5} is not satisfied, the target temperature determination branch is determined to be the twelfth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the twelfth temperature determination branch is obtained. The value is the cold output value, then the target user's warm-cold feeling state is cold. 7. The air conditioner according to claim 3, wherein the controller is configured to: If T _indoor ≤ T _{indoor setting 1} is not satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 6} is satisfied, where T _{facial setting 1} < T _{facial setting 6} ; If T _face ≤ T _{face setting 6} is not satisfied, the target temperature determination branch is determined to be the thirteenth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the thirteenth temperature determination branch is obtained. The value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face setting 6} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 5} is satisfied, where T _{hand setting 5} < T _{hand setting 1} ; If T _hand ≤ T _{hand setting 5} is satisfied, the target temperature determination branch is determined to be the fourteenth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the fourteenth temperature determination branch is obtained. If the output value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _hand ≤ _{T hand setting 5} is not satisfied, then further determine whether the average facial temperature T _face ≤ _{T face setting 7} is satisfied, where T _{face setting 7} < T _{face setting 6} ; If T _face ≤ T _{face setting 7} is satisfied, the target temperature determination branch is determined to be the fifteenth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fifteenth temperature determination branch is obtained. is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face setting 7} is not satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 6} is satisfied, where T _{hand setting 5} < T _{hand setting 6} ; If T _hand ≤ T _{hand setting 6} is satisfied, the target temperature determination branch is determined to be the sixteenth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the sixteenth temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _hand ≤ T _{hand setting 6} is not satisfied, the target temperature determination branch is determined to be the seventeenth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the seventeenth temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral. 8. The air conditioner according to claim 3, wherein the controller is configured to: If T _hand ≤ T _{hand setting 1} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 5} is satisfied, where T _{indoor setting 1} < T _{indoor setting 5} ; If T _indoor ≤ T _{indoor setting 5} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 7} is satisfied, where T _{hand setting 1} < T _{hand setting 7} ; If T _hand ≤ T _{hand setting 7} is satisfied, the target temperature determination branch is determined to be the eighteenth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the eighteenth temperature determination branch is obtained. If the output value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _hand ≤ T _{hand setting 7} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 6} is satisfied, where T _{indoor setting 6} < T _{indoor setting 5} ; If T _indoor ≤ T _{indoor setting 6} is satisfied, the target temperature determination branch is determined to be the nineteenth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the nineteenth temperature determination branch is obtained. is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 6} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 7} is satisfied, where T _{indoor setting 6} < T _{indoor setting 7} ; If T _indoor ≤ T _{indoor setting 7} is not satisfied, the target temperature determination branch is determined to be the twentieth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the twentieth temperature determination branch is obtained. The value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 7} is satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 8} is satisfied, where T _{facial setting 1} < T _{facial setting 8} ; If T _face ≤ T _{face setting 8} is satisfied, the target temperature determination branch is determined to be the twenty-first temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-first temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _face ≤ T _{face setting 8} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ _{T indoor setting 8} is satisfied, where T _{indoor setting 8} < T _{indoor setting 7} ; If T _indoor ≤ T _{indoor setting 8} is satisfied, the target temperature determination branch is determined to be the twenty-second temperature determination branch, and the user's individual 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, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 8} is not satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 9} is satisfied, where T _{facial setting 8} < T _{facial setting 9} ; If T _face ≤ T _{face setting 9} is satisfied, the target temperature determination branch is determined to be the twenty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-third temperature determination branch is obtained. If the output value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face setting 9} is not satisfied, the target temperature determination branch is determined to be the twenty-fourth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-fourth temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral. 9. The air conditioner according to claim 8, wherein the controller is configured to: If T _indoor ≤ T _{indoor setting 5} is not satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 8} is satisfied, where T _{hand setting 7} < T _{hand setting 8} ; If T _hand ≤ T _{hand setting 8} is satisfied, then further determine whether the average facial temperature T _face ≤ T _{face setting 10} is satisfied, where T _{face setting 10} < T _{face setting 8} ; If T _face ≤ T _{face setting 10} is satisfied, the target temperature determination branch is determined to be the twenty-fifth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-fifth temperature determination branch is obtained. If the output value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face setting 10} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 9} is satisfied, where T _{indoor setting 5} < T _{indoor setting 9} ; If T _indoor ≤ T _{indoor setting 9} is satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 11} is satisfied, where T _{facial setting 10} < T _{facial setting 11} ; If T _face ≤ T _{face setting 11} is satisfied, then further determine whether the average facial temperature T _face ≤ T _{face setting 12} is satisfied, where T _{face setting 12} < T _{face setting 11} ; If T _face ≤ T _{face setting 12} is satisfied, the target temperature determination branch is determined to be the twenty-sixth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-sixth temperature determination branch is obtained. If the output value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face setting 12} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 10} is satisfied, where T _{indoor setting 10} < T _{indoor setting 9} ; If T _indoor ≤ T _{indoor setting 10} is satisfied, the target temperature determination branch is determined to be the twenty-seventh temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-seventh temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _indoor ≤ T _{indoor setting 10} is not satisfied, the target temperature determination branch is determined to be the twenty-eighth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-eighth temperature determination branch is obtained. The output value of is a warm output value, then the target user's temperature-cold feeling state is hot. 10. The air conditioner according to claim 9, wherein the controller is configured to: If T _face ≤ T _{face setting 11} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 11} is satisfied, where T _{indoor setting 11} < T _{indoor setting 10} ; If T _indoor ≤ T _{indoor setting 11} is not satisfied, the target temperature determination branch is determined to be the twenty-ninth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the twenty-ninth temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 11} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 9} is satisfied, where T _{hand setting 9} < T _{hand setting 8} ; If T _hand ≤ T _{hand setting 9} is satisfied, the target temperature determination branch is determined to be the thirtieth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirtieth temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _hand ≤ T _{hand setting 9} is not satisfied, the target temperature determination branch is determined to be the thirty-first temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-first temperature is obtained. If the output value of the determination branch is a neutral output value, then the target user's temperature and cold feeling state is neutral. 11. The air conditioner according to claim 9, wherein the controller is configured to: If T _indoor ≤ T _{indoor setting 9} is not satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 13} is satisfied, where T _{facial setting 11} < T _{facial setting 13} ; If T _face ≤ T _{face setting 13} is not satisfied, the target temperature determination branch is determined to be the thirty-second temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-second temperature determination branch is obtained. The output value is the hot output value, then the target user's temperature and cold feeling state is hot; If T _face ≤ T _{face setting 13} is satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 10} is satisfied, where T _{hand setting 10} < T _{hand setting 8} ; If T _hand ≤ T _{hand setting 10} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 11} is satisfied, where T _{hand setting 11} < T _{hand setting 10} ; If T _hand ≤ T _{hand setting 11} is satisfied, the target temperature determination branch is determined to be the thirty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-third temperature determination branch is obtained. The output value of the branch is a hot output value, and the target user's temperature and cold feeling state is hot; If T _hand ≤ T _{hand setting 11} is not satisfied, the target temperature determination branch is determined to be the thirty-fourth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-fourth temperature is obtained. If the output value of the determination branch is a hot output value, then the target user's temperature-cold feeling state is hot. 12. The air conditioner according to claim 11, wherein the controller is configured to: If T _hand ≤ _{T hand setting 10} is not satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 12} is satisfied, where T _{hand setting 10} < T _{hand setting 12} ; If T _hand ≤ T _{hand setting 12} is satisfied, the target temperature determination branch is determined to be the thirty-fifth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-fifth temperature determination branch is obtained. If the output value of the branch is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _hand ≤ T _{hand setting 12} is not satisfied, the target temperature determination branch is determined to be the thirty-sixth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-sixth temperature is obtained. If the output value of the determination branch is a hot output value, then the target user's temperature-cold feeling state is hot. 13. The air conditioner according to claim 9, wherein the controller is configured to: If T _hand ≤ _{T hand setting 8} is not satisfied, then further determine whether the hand temperature T _hand ≤ _{T hand setting 13} is satisfied, where T _{hand setting 8} < T _{hand setting 13} ; If T _hand ≤ T _{hand setting 13} is satisfied, then further determine whether the average facial temperature T _face ≤ T _{face setting 14} is satisfied, where T _{face setting 11} < T _{face setting 14} ; If T _face ≤ T _{face setting 14} is satisfied, then further determine whether the hand temperature T _hand ≤ T _{hand setting 14} is satisfied, where T _{hand setting 14} <T _{hand setting 13} ; If T _hand ≤ T _{hand setting 14} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 12} is satisfied, where T _{indoor setting 5} < T _{indoor setting 12} ; If T _indoor ≤ T _{indoor setting 12} is not satisfied, the target temperature determination branch is determined to be the thirty-seventh temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-seventh temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 12} is satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 15} is satisfied, where T _{facial setting 15} < T _{facial setting 14} ; If T _face ≤ T _{face setting 15} is satisfied, the target temperature determination branch is determined to be the thirty-eighth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-eighth temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _face ≤ T _{face setting 15} is not satisfied, the target temperature determination branch is determined to be the thirty-ninth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the thirty-ninth temperature determination branch is obtained The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral. 14. The air conditioner according to claim 13, wherein the controller is configured to: If T _hand ≤ T _{hand setting 14} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 13} is satisfied, where T _{indoor setting 12} < T _{indoor setting 13} ; If T _indoor ≤ T _{indoor setting 13} is not satisfied, the target temperature determination branch is determined to be the fortieth temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the fortieth temperature determination branch is obtained. The value is the thermal output value, then the target user's warm-cold feeling state is hot; If T _indoor ≤ T _{indoor setting 13} is satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 16} is satisfied, where T _{facial setting 15} < T _{facial setting 16} ; If T _face ≤ T _{face setting 16} is satisfied, the target temperature determination branch is determined to be the forty-first temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-first temperature determination branch is obtained. If the output value is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face setting 16} is not satisfied, the target temperature determination branch is determined to be the forty-second temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-second temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral. 15. The air conditioner according to claim 13, wherein the controller is configured to: If T _face ≤ T _{face setting 14} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 14} is satisfied, where T _{indoor setting 12} < T _{indoor setting 14} ; If T _indoor ≤ T _{indoor setting 14} is satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 15} is satisfied, where T _{indoor setting 15} < T _{indoor setting 14} ; If T _indoor ≤ T _{indoor setting 15} is satisfied, then further determine whether the average facial temperature T _facial ≤ _{T facial setting 17} is satisfied, where T _{facial setting 14} < T _{facial setting 17} ; If T _face ≤ T _{face setting 17} is satisfied, the target temperature determination branch is determined to be the forty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-third temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _face ≤ T _{face setting 17} is not satisfied, the target temperature determination branch is determined to be the forty-fourth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-fourth temperature determination branch is obtained. The output value of is a warm output value, then the target user's temperature-cold feeling state is hot. 16. The air conditioner according to claim 15, wherein the controller is configured to: If T _indoor ≤ T _{indoor setting 15} is not satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 18} is satisfied, where T _{facial setting 17} < T _{facial setting 18} ; If T _face ≤ T _{face setting 18} is satisfied, the target temperature determination branch is determined to be the forty-fifth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-fifth temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If T _face ≤ T _{face setting 18} is not satisfied, the target temperature determination branch is determined to be the forty-sixth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-sixth temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral. 17. The air conditioner according to claim 15, wherein the controller is configured to: If T _indoor ≤ T _{indoor setting 14} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 16} is satisfied, where 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 user's individual temperature and cold feeling decision tree model corresponding to the forty-seventh temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot; If it is less than T _indoor ≤ T _{indoor setting 16} , then the target temperature determination branch is determined to be the forty-eighth temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the forty-eighth temperature determination branch is obtained The output value of is a warm output value, then the target user's temperature-cold feeling state is hot. 18. The air conditioner according to claim 13, wherein the controller is configured to: If T _hand ≤ T _{hand setting 13} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 17} is satisfied, where the T _{indoor setting 5} < T _{indoor setting 17} ; If T _indoor ≤ T _{indoor setting 17} is satisfied, the target temperature determination branch is determined to be the forty-ninth temperature determination branch, and the user's individual 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, then the target user's warm and cold feeling state is neutral; If T _indoor ≤ T _{indoor setting 17} is not satisfied, then further determine whether the indoor environment temperature T _indoor ≤ T _{indoor setting 18} is satisfied, where the T _{indoor setting 17} < T _{indoor setting 18} ; If T _indoor ≤ T _{indoor setting 18} is satisfied, the target temperature determination branch is determined to be the fiftieth temperature determination branch, and the output value of the user's individual temperature and cold feeling decision tree model corresponding to the fiftieth temperature determination branch is obtained. is the thermal bias output value, then the target user’s temperature-cold feeling state is thermal bias; If T _indoor ≤ T _{indoor setting 18} is not satisfied, then further determine whether the average facial temperature T _facial ≤ T _{facial setting 19} is satisfied, where T _{facial setting 14} < T _{facial setting 19} ; If T _face ≤ T _{face setting 19} is not satisfied, the target temperature determination branch is determined to be the fifty-first temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the fifty-first temperature determination branch is obtained. The output value of is a neutral output value, then the target user's warm and cold feeling state is neutral; If T _face ≤ T _{face set 19} is satisfied, then further determine whether the average facial temperature T _face ≤ T _{face set 20} is satisfied, where T _{face set 20} < T _{face set 19} ; If T _face ≤ T _{face setting 20} is satisfied, the target temperature determination branch is determined to be the fifty-second temperature determination branch, and the output of the user's individual temperature and cold feeling decision tree model corresponding to the fifty-second temperature determination branch is obtained. The value is the thermal output value, then the target user's warm-cold feeling state is hot; If T _face ≤ T _{face setting 20} is not satisfied, the target temperature determination branch is determined to be the fifty-third temperature determination branch, and the user's individual temperature and cold feeling decision tree model corresponding to the fifty-third temperature determination branch is obtained. If the output value is a hot output value, then the target user's temperature-cold feeling state is hot. 19. The air conditioner according to any one of claims 1-18, wherein the controller is further configured to: If it is determined that the target user's temperature-cold feeling state is cold, then increase the currently set target temperature; If it is determined that the target user's temperature and cooling state is neutral, the currently set target temperature is maintained; If it is determined that the target user's state of feeling warm and cold is on the hot side, then the currently set target temperature is lowered. 20. The air conditioner according to any one of claims 1-18, wherein the controller is further configured to: The air conditioner is in the heating mode, and if it is determined that the target user's temperature and cooling state is cold for the preset number of consecutive times, the indoor fan speed of the air conditioner is increased; The air conditioner is in the heating mode, and if the preset number of consecutive times determines that the target user's temperature and cold feeling state is hot, then the indoor fan speed of the air conditioner is reduced; The air conditioner is in the cooling mode, and if the preset number of consecutive times determines that the target user's temperature and cold feeling state is cold, then the indoor fan speed of the air conditioner is reduced; The air conditioner is in the cooling mode, and if the preset number of consecutive times determines that the target user's temperature and cooling state is hot, the indoor fan speed of the air conditioner is increased. 21. The air conditioner according to claim 1, wherein the controller is further configured to: Periodically input the average facial temperature, the hand temperature and the indoor environment temperature into the user's individual temperature and cold feeling decision tree model to obtain a preset number of outputs from the user's individual temperature and cold feeling decision tree model. The output values of the preset number of output values are counted and classified, and the warm and cold feeling state corresponding to the output value in the category containing the most output values is used as the warm and cold feeling state of the target user. 22. A control method for an air conditioner, characterized by comprising: Receive the facial temperature and hand temperature of the target user and the indoor ambient temperature, and obtain the facial average temperature of the facial temperature; The average facial temperature, the hand temperature and the indoor environment temperature are input into the user's individual temperature and cold feeling decision tree model, wherein at least eight layers of temperature decision condition sets are configured in the user's individual temperature and cold feeling decision tree model. , at least eight layers of temperature decision condition sets constitute multiple temperature determination 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 include: based on the The decision-making conditions based on the indoor ambient temperature. The third-level temperature decision-making conditions include: the decision-making conditions based on the average facial temperature and the hand temperature. The fourth-level temperature decision-making conditions include: the indoor ambient temperature, The decision-making conditions based on the hand temperature and the average facial temperature, the fifth layer temperature decision-making conditions include: the decision-making conditions based on the average facial temperature and the indoor ambient temperature, the sixth layer temperature decision-making conditions include : Decision-making conditions based on the indoor ambient temperature, the average facial temperature and the hand temperature. The seventh layer temperature decision-making conditions include: based on the indoor ambient temperature, the hand temperature and the average facial temperature. Decision-making conditions based on temperature, the eighth layer temperature decision-making conditions include: decision-making conditions based on the hand temperature, the average facial temperature and the indoor ambient temperature; Determine the state of the target user's feeling of warmth and coldness according to the output value of the user's individual feeling of warmth and coldness decision tree model; The currently set target temperature is adjusted according to the warm and cold feeling state, and the operation of the air conditioner is controlled according to the adjusted target temperature.