CN115046292B

CN115046292B - Air conditioner and control method thereof

Info

Publication number: CN115046292B
Application number: CN202210753705.5A
Authority: CN
Inventors: 胡敏志; 吕根贵; 谭裕锋
Original assignee: Hisense Guangdong Air Conditioning Co Ltd
Current assignee: Hisense Guangdong Air Conditioning Co Ltd
Priority date: 2022-06-29
Filing date: 2022-06-29
Publication date: 2023-10-17
Anticipated expiration: 2042-06-29
Also published as: CN115046292A

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

Background

The air conditioner is an electrical product widely used in life of people, plays an important role in indoor temperature regulation, can provide healthy and comfortable indoor environment for users, and meets the normal working, living and learning needs.

Currently, the comfort control is usually designed by setting a single temperature index or designed by adopting a specified single temperature index and a specified single humidity index, so that the comfort needs of most groups are usually met.

However, due to the difference in individual comfort requirements, a single temperature and a single humidity index adjustment cannot effectively meet the requirements of people on comfort requirements, and cannot meet the individual, different and personalized thermal comfort control requirements of different users.

Disclosure of Invention

The present disclosure is directed to solving at least one of the technical problems existing in the prior art. To this end, it is an object of the present disclosure to propose an air conditioner that can meet the individual, individualized thermal comfort requirements of different users.

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

To achieve the above object, an air conditioner according to an embodiment of a first aspect of the present disclosure includes: a human body temperature detection device for detecting a face temperature and a hand temperature of a target user; the indoor temperature detection device is used for detecting indoor environment temperature; a controller connected to the temperature acquisition device and the indoor temperature detection device, the controller configured to: the face average temperature of the face temperature is obtained, the face average temperature, the hand temperature and the indoor environment temperature are input into a user individual temperature cold sense decision tree model, the temperature cold sense state of the target user is determined according to the output value of the user individual temperature cold sense decision tree model, the current set target temperature is adjusted according to the temperature cold sense state, and the operation of the air conditioner is controlled according to the adjusted target temperature, wherein at least eight layers of temperature decision condition sets are configured in the user individual temperature cold sense decision tree model, and at least eight layers of temperature decision condition sets form a plurality of temperature decision branches, and the first layer of temperature decision condition set comprises: the second layer of temperature decision condition set comprises the decision condition based on the hand temperature: and the third layer of temperature decision conditions based on the indoor environment temperature comprise: the decision condition based on the face average temperature and the hand temperature, the fourth layer temperature decision condition includes: a fifth layer temperature decision condition based on the indoor ambient temperature, the hand temperature, and the face average temperature, the fifth layer temperature decision condition comprising: a decision condition based on the face average temperature and the indoor environment temperature, the sixth layer temperature decision condition including: a decision condition based on the indoor ambient temperature, the face average temperature, and the hand temperature, a seventh layer of temperature decision condition comprising: the eighth layer of temperature decision conditions based on the indoor environment temperature, the hand temperature, and the face average temperature include: a decision condition based on the hand temperature, the face average temperature, and the indoor ambient temperature.

A control method of an air conditioner according to an embodiment of a second aspect of the present disclosure includes: acquiring the face temperature and the hand temperature of a target user and the indoor environment temperature; acquiring a face average temperature of the face temperature, and inputting the face average temperature, the hand temperature and the indoor environment temperature into a user individual temperature cold sense decision tree model, wherein at least eight layers of temperature decision condition sets are configured in the user individual temperature cold sense decision tree model, the at least eight layers of temperature decision condition sets form a plurality of temperature decision branches, and a first layer of temperature decision condition set comprises: the second layer of temperature decision condition set comprises the decision condition based on the hand temperature: and the third layer of temperature decision conditions based on the indoor environment temperature comprise: the decision condition based on the face average temperature and the hand temperature, the fourth layer temperature decision condition includes: a fifth layer temperature decision condition based on the indoor ambient temperature, the hand temperature, and the face average temperature, the fifth layer temperature decision condition comprising: a decision condition based on the face average temperature and the indoor environment temperature, the sixth layer temperature decision condition including: a decision condition based on the indoor ambient temperature, the face average temperature, and the hand temperature, a seventh layer of temperature decision condition comprising: the eighth layer of temperature decision conditions based on the indoor environment temperature, the hand temperature, and the face average temperature include: a decision condition based on the hand temperature, the face average temperature, and the indoor ambient temperature; determining the temperature and coldness state of the target user according to the output value of the individual temperature and coldness decision tree model of the user; and adjusting the current set target temperature according to the temperature cold sensing state, and controlling the operation of the air conditioner according to the adjusted target temperature.

According to the air conditioner and the control method thereof, the target temperature is adjusted by adopting the user individual temperature cold sense decision tree model established based on big data and artificial intelligence technology, the defect that individual difference is weakened by the PMV (Predicted Mean Vote) prediction comfort model based on general population can be overcome, the current temperature cold sense of a user can be experienced by taking the face temperature of the user individual into consideration, meanwhile, the temperature of the face and the hand are exposed, but the temperature of the face and the hand are deviated, so that the air conditioner inputs the average face temperature, the hand temperature and the indoor environment temperature into the user individual temperature cold sense decision tree model, the temperature cold sense comfort of the target user individual is met, the individual individuation and differentiation requirements of the user are improved, and the comfort of the air conditioner is improved. And considering the situation that data are not easy to collect at certain points of the face temperature possibly, the controller obtains the face average temperature of the face temperature in the method, so that the situation that data cannot be collected at a single test point can be avoided, the method is more practical and the data are more accurate to collect.

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.

Drawings

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

fig. 1 is a schematic view of a refrigeration cycle system of an air conditioner according to one embodiment of the present disclosure;

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

FIG. 3 is a flow chart of modeling a user individual temperature cold decision tree model based on big data based artificial intelligence techniques in accordance with one embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a partial configuration of a user individual temperature cold decision tree model according to one embodiment of the present disclosure;

FIG. 5 is a schematic diagram of a partial configuration of a user individual temperature cold decision tree model according to yet another embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a partial configuration of a user individual temperature cold decision tree model according to yet another embodiment of the present disclosure;

FIG. 7 is a schematic diagram of a partial configuration of a user individual temperature cold decision tree model according to yet another embodiment of the present disclosure;

FIG. 8 is a flow chart of overall operation logic for comfort control of an air conditioner in accordance with one embodiment of the present disclosure;

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

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

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

FIG. 12 is a flow chart of a method of controlling TMS comfort mode, according to an embodiment of the disclosure;

FIG. 13 is a schematic illustration of a humidity profile according to one embodiment of the present disclosure;

fig. 14 is an indoor fan comfort control method when an air conditioner operation mode is a cooling mode according to one embodiment of the present disclosure.

Detailed Description

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

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

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

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

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

The indoor heat exchanger and the outdoor heat exchanger function as a condenser or an evaporator. When the indoor heat exchanger is used as a condenser, the air conditioner is used as a heater of a heating mode, and when the indoor heat exchanger is used as an evaporator, the air conditioner is used as a cooler of a cooling mode.

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

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

As shown in fig. 2, which is a block diagram of an air conditioner according to an embodiment of the present disclosure, the air conditioner 1 of the embodiment of the present disclosure includes a human body temperature detecting device 10, an indoor temperature detecting device 20, and a controller 30, and of course, includes other air conditioner system components such as a refrigerant circulation system shown in fig. 1.

The human body temperature detection device 10 is used for detecting the face temperature and the hand temperature of a target user. In an embodiment, the human body temperature detecting apparatus 10 may collect the temperature of the exposed portion of the target user, such as the face temperature and the hand temperature, which may include the temperature of at least one of the forehead temperature, the eye temperature, the nose temperature, and the cheek temperature, using an infrared detection device, such as an infrared camera.

The indoor temperature detecting device 20 is used for detecting an indoor environmental temperature. Specifically, a temperature sensor may be disposed on the indoor unit casing, for collecting indoor air temperature, i.e., indoor environment temperature, or disposed at other locations in the room, or detect indoor environment temperature through an auxiliary device such as an intelligent robot, and send the collected indoor environment temperature data to a controller of the air conditioner.

The controller 30 is connected with the temperature acquisition device, a user individual temperature cold feeling decision tree model can be prestored in the controller 30, the model is trained in advance, generated, detected and stored in the controller, and the controller can call the model at any time when executing related decisions.

The individual body temperature coldness decision tree model of the user is described below.

In the embodiment of the disclosure, the user individual body temperature cold sense decision tree model aims at different thermal comfort requirements of individual users, is based on a user individual body temperature cold sense decision tree temperature cold sense prediction identification model established by a big data artificial intelligence technology based on human physiological parameters and environmental parameters, automatically learns the user individual body temperature cold sense change rule, accurately identifies the user individual body temperature comfort requirements, performs individual thermal comfort control, and meets individual different and individual thermal comfort control requirements of different users.

As shown in FIG. 3, a modeling flow for building a user individual temperature cold decision tree model is provided for big data based artificial intelligence techniques in accordance with one embodiment of the present disclosure.

Specifically, first, data collection is performed, training data and tests can be collected through infrared equipment in a laboratory, for example, skin temperatures, such as forehead temperature, eye temperature, cheek temperature, nose temperature, hand temperature, etc., of different people including old people, children, men, women, etc., in different seasons are collected, and it is understood that different people can embody different human heat sensations, metabolic rates, thermal resistance of clothing, environmental conditions, etc. in different seasons.

And secondly, performing model training, screening and debugging and optimizing by using a training data model. Specifically, training data is input into the initial model, and then the initial model is debugged and optimized according to the model output result, so that the model output data is more similar to the real situation.

Again, a model is generated. Specifically, a trained optimal model output is selected.

Finally, the model predicts the test data to obtain the model accuracy, for example, in the embodiment of the disclosure, the accuracy of the adopted user individual temperature cold feeling decision tree model can reach more than 80%.

In an embodiment, the user individual body temperature cold decision tree model reaching the expectation may be stored in advance in the storage unit of the controller 30 of the air conditioner 1. At least eight layers of temperature decision condition sets are configured in a user individual temperature cold sense decision tree model, the at least eight layers of temperature decision condition sets form a plurality of temperature decision branches, and a first layer of temperature decision condition set comprises: the second layer of temperature decision condition set comprises the decision condition based on the hand temperature: and the third layer of temperature decision conditions based on the indoor environment temperature comprise: the decision condition based on the face average temperature and the hand temperature, the fourth layer temperature decision condition includes: a fifth layer temperature decision condition based on the indoor ambient temperature, the hand temperature, and the face average temperature, the fifth layer temperature decision condition comprising: a decision condition based on the face average temperature and the indoor environment temperature, the sixth layer temperature decision condition including: a decision condition based on the indoor ambient temperature, the face average temperature, and the hand temperature, a seventh layer of temperature decision condition comprising: the eighth layer of temperature decision conditions based on the indoor environment temperature, the hand temperature, and the face average temperature include: a decision condition based on the hand temperature, the face average temperature, and the indoor ambient temperature. For example, FIGS. 4-7 are schematic diagrams of portions of a user individual temperature cold decision tree model in a form similar to a tree, with the left forked representation judging true and the right forked representation judging false, each time making a series of decisions until no longer forked, the final result is output, in accordance with one embodiment of the present disclosure. In some embodiments, the user individual temperature cold decision tree model may include at least eight layers of temperature decision condition sets and fifty-three temperature decision branches comprised of at least eight layers of temperature decision condition sets, each of which may have the same or different temperature decision conditions. Each bifurcation of the model executes independent temperature and cold sense judgment, each temperature judgment branch can output a corresponding temperature and cold sense prediction result, and the final value of the temperature and cold sense judgment, namely, the output value of the individual temperature and cold sense decision tree model of the user can be-1 (partial cold), 0 (neutral) and 1 (partial heat), so that the current temperature and cold sense state of the user can be judged according to the output value of the individual temperature and cold sense decision tree model of the user.

It will be appreciated that the user individual temperature cold decision tree model shown in fig. 4-7 is merely an example of one model of embodiments of the present disclosure, and that other expected, applicable decision tree models may be employed based on the results of model training optimization and testing.

Specifically, in practical application, because the human body temperature detection device 10 is set at a position or the position of the human body of the user, the problem that the temperature of the set test point cannot be accurately acquired often occurs, so in the embodiment of the disclosure, the controller 30 acquires the average facial temperature of the facial temperature, thereby avoiding the situation that the data cannot be acquired by a single test point, being more suitable for practice and acquiring the data more accurately.

Further, in the embodiment of the disclosure, not only the face temperature of the user individual can be considered to represent the current temperature and coldness of the user, but also the indoor environment temperature is considered to influence the temperature and coldness experience of the user, and the face and the hands are exposed but the temperatures of the face and the hands are deviated, so that the face average temperature, the hand temperature and the indoor environment temperature are comprehensively considered, the face average temperature, the hand temperature and the indoor environment temperature are input into the user individual temperature coldness decision tree model by the air conditioner 1, the temperature coldness state of the target user is determined according to the output value of the user individual temperature coldness decision tree model, the current set target temperature is adjusted according to the temperature coldness state, and the operation of the air conditioner is controlled according to the adjusted target temperature, so that the temperature coldness comfort of the target user individual is met, the individual individuation and differentiation requirements of the user are improved, and the comfort of the air conditioner is improved.

The current set target temperature may be a temperature set by a user through a control terminal of the air conditioner, such as a remote controller, a line controller or an APP of the air conditioner loaded on the mobile intelligent device, or a current temperature of the air conditioner when the user starts an individual comfort mode of the user, which is not limited herein.

In the disclosed embodiments, the facial temperature may include forehead temperature, eye temperature, nose temperature, and cheek temperature, although one or a combination of several of these may be included. In consideration of the fact that there is a deviation in the temperatures of different parts of the face and sometimes the temperatures of some parts may not be acquired, the controller 30 records the forehead temperature, the eye temperature, the nose temperature and the cheek temperature of the target user for a preset period of time, calculates the average value of the forehead temperature, the average value of the eye temperature, the average value of the nose temperature and the average value of the cheek temperature for the preset period of time, and performs weighted calculation on the average value of the forehead temperature, the average value of the eye temperature, the average value of the nose temperature and the average value of the cheek temperature to obtain the average temperature of the face when the individual comfort mode of the user is operated. Wherein the weight of the forehead temperature average value > the weight of the eye temperature average value > the weight of the nose temperature average value > the weight of the cheek temperature average value.

For example, in an embodiment, the weighting formula used for the average facial temperature may be obtained by multiple linear regression of the acquired data, for example, the formula is as follows:

T _{face part} ＝0.3347×T _{Forehead (forehead)} +0.3113×T _{Eyes (eyes)} +0.1754×T _Nose +0.1696×T _{Cheek of cheek} +0.1881；

Wherein T is _{Face part} For average temperature of face, T _{Forehead (forehead)} T is the forehead temperature _{Eyes (eyes)} For eye temperature, T _Nose Temperature of nose, T _{Cheek of cheek} Is the cheek temperature.

Of course, the above is one of a weighted formula for obtaining a facial average temperature of the present disclosure, and other variations based thereon are within the scope of the present disclosure.

According to the air conditioner 1 disclosed by the embodiment of the disclosure, the target temperature is adjusted by adopting the user individual temperature cold sense decision tree model established based on big data and artificial intelligence technology, so that the defect that individual difference is weakened by the PMV prediction comfort model based on general population can be overcome, the air conditioner 1 not only meets the comfort requirement of general population, but also can realize the individual comfort requirement of a single household user.

Specifically, when the air conditioner 1 operates in the individual comfort mode of the user, for example, when only one person is in the room, the human body temperature detection device 10 collects the face temperature and the hand temperature of the target user in real time, the indoor temperature detection device 20 collects the indoor environment temperature in real time, the controller 30 receives the temperature data and invokes the individual temperature cold sense decision tree model of the user, compares the face average temperature, the hand temperature and the indoor environment temperature with each layer of temperature decision conditions in a plurality of temperature decision branches of the individual temperature cold sense decision tree model of the user to determine the target temperature decision branch, wherein each temperature decision branch in the model is independently executed, obtains the output value of the corresponding target temperature decision branch of the individual temperature cold sense decision tree model of the user, takes the temperature cold sense state corresponding to the output value as the temperature cold sense state of the target user, for example, the output value is-1, and represents the user is cold; the output value is 0, which represents the neutral state of the user without cooling and heating; the output value is 1, representing a user bias. Then, the target temperature is adjusted according to the current temperature and cold feeling state of the user, and the compressor frequency, the fan rotating speed, the air guide strip direction and the like of the air conditioner are adjusted according to the adjusted target temperature, so that the user comfort can be improved, and the personalized comfort requirement of the user is met.

The process of the controller identifying the user's state of thermal coldness will be described with reference to the user's personal thermal coldness decision tree model shown in fig. 4-7.

After the user activates the user individual comfort model, the controller 30 obtains the average facial temperature T _{Face part} T for indicating hand temperature _{Hand portion} T for indicating and indoor environment temperature _{Indoor unit} Represent, and let T _{Face part} 、T _{Hand portion} And T _{Indoor unit} A user individual temperature cold decision tree model, such as the tree model described in fig. 4-7, is input, the temperature values are compared to the temperature decision conditions in the model, each temperature decision branch is independently executed until an output value of the model is obtained, and the current state of temperature cold of the user is determined based on the output value.

As shown in fig. 4-7, each temperature determination branch is described, where the user personal temperature cold sensing decision tree model in the embodiment of the disclosure uses the hand temperature as the temperature decision condition of the first layer, uses the indoor environment temperature as the temperature decision condition of the second layer, and continues to identify different branches with different temperature determination conditions. In the embodiment, in the personal temperature cold sensing decision tree model of the user, the face average temperature, the hand temperature and the indoor environment temperature have different temperatures under different decision conditions, for example, the threshold value of each decision condition of the face average temperature is a value between 33.20 ℃ and 37 ℃, the threshold value of each decision condition of the hand temperature is a value between 32.95 ℃ and 36.55 ℃, the threshold value of each decision condition of the indoor environment temperature is a value between 22.25 ℃ and 30.85 ℃, and the change of the temperature of the same part can be in a range of 0.1 ℃ to 0.5 ℃, so that the temperature cold sensing state identification is finer and more accurate.

In some embodiments, as shown in fig. 4, the controller 30 is configured to: judging whether the hand temperature meets T _{Hand portion} ≤T _{Hand setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Hand portion} ≤T _{Hand setting 1} The flow proceeds to (1) and is specifically shown with reference to fig. 5. If T is satisfied _{Hand portion} ≤T _{Hand setting 1} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 1} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Face part} ≤T _{Face setting 1} Determining the target temperature judging branch as a first temperature judging branch, acquiring a neutral output value, for example, 0, of an output value of the first temperature judging branch corresponding to the user individual temperature cold feeling decision tree model, and determining the temperature cold feeling state of the target user as neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If T is satisfied _{Face part} ≤T _{Face setting 1} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 2} Wherein T is _{Indoor setting 2} <T _{Indoor setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor unitSetting 2} Determining that the target temperature judging branch is a second temperature judging branch, acquiring that the output value of the second temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 2} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 2} Wherein T is _{Face setting 2} <T _{Face setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 2} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 3} Wherein T is _{Indoor setting 2} <T _{Indoor setting 3} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Indoor unit} ≤T _{Indoor setting 3} And determining that the target temperature judging branch is a third temperature judging branch, acquiring that the output value of the third temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 3} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 4} Wherein T is _{Indoor setting 4} <T _{Indoor setting 3} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 4} And determining that the target temperature judging branch is a fourth temperature judging branch, acquiring that the output value of the fourth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 4} And determining that the target temperature judging branch is a fifth temperature judging branch, acquiring that the output value of the user personal temperature cold sense decision tree model corresponding to the fifth temperature judging branch is a cold output value, for example, the output value is-1, and determining that the temperature cold sense state of the target user is cold. Namely, when the current temperature sensed by the user is lower, the current set target temperature is increased, so that the user temperature sensing degree is increased, and the comfort is improved.

In some embodiments, as shown in fig. 4, the controller 30 is further configured to: if not satisfy T _{Face part} ≤T _{Face setting 2} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 3} Wherein T is _{Face setting 2} <T _{Face setting 3} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 3} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 2} Wherein T is _{Hand setting 2} <T _{Hand setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Hand portion} ≤T _{Hand setting 2} Determining that the target temperature judging branch is a sixth temperature judging branch, acquiring that the output value of the user individual temperature cold sense decision tree model corresponding to the sixth temperature judging branch is a neutral output value, for example, 0, and then the temperature cold sense state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If T is satisfied _{Hand portion} ≤T _{Hand setting 2} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 3} Wherein T is _{Hand setting 3} <T _{Hand setting 2} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 3} And determining that the target temperature judging branch is a seventh temperature judging branch, acquiring that the output value of the seventh temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a cold bias output value, for example, the output value is-1, and determining that the temperature cold feeling state of the target user is cold bias. I.e. the user currently perceives the temperature And if the temperature is lower, the current set target temperature is increased so as to increase the user temperature and improve the comfort.

If not satisfy T _{Hand portion} ≤T _{Hand setting 3} And determining that the target temperature judging branch is an eighth temperature judging branch, acquiring that the output value of the eighth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a cold bias output value, for example, the output is-1, and determining that the temperature cold feeling state of the target user is cold bias. Namely, when the current temperature sensed by the user is lower, the current set target temperature is increased, so that the user temperature sensing degree is increased, and the comfort is improved.

In some embodiments, as shown in fig. 4, the controller 30 is further configured to: if not satisfy T _{Face part} ≤T _{Face setting 3} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 4} Wherein T is _{Face setting 3} <T _{Face setting 4} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 4} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 4} Wherein T is _{Hand setting 2} <T _{Hand setting 4} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 4} And determining that the target temperature judging branch is a ninth temperature judging branch, acquiring that the output value of the ninth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a cold bias output value, for example, the output value is-1, and determining that the temperature cold feeling state of the target user is cold bias. Namely, when the current temperature sensed by the user is lower, the current set target temperature is increased, so that the user temperature sensing degree is increased, and the comfort is improved.

If not satisfy T _{Hand portion} ≤T _{Hand setting 4} Determining that the target temperature judging branch is a tenth temperature judging branch, acquiring that the output value of the tenth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

In some embodiments, as shown in fig. 4, the controller 30 is further configured to: if not satisfy T _{Face part} ≤T _{Face setting 4} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 5} Wherein T is _{Face setting 4} <T _{Face setting 5} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 5} And determining that the target temperature judging branch is an eleventh temperature judging branch, acquiring that the output value of the eleventh temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a cold bias output value, for example, the output is-1, and determining that the temperature cold feeling state of the target user is cold bias. Namely, when the current temperature sensed by the user is lower, the current set target temperature is increased, so that the user temperature sensing degree is increased, and the comfort is improved.

If not satisfy T _{Face part} ≤T _{Face setting 5} And determining that the target temperature judging branch is a twelfth temperature judging branch, acquiring that the output value of the twelfth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a cold bias output value, for example, the output is-1, and determining that the temperature cold feeling state of the target user is cold bias. Namely, when the current temperature sensed by the user is lower, the current set target temperature is increased, so that the user temperature sensing degree is increased, and the comfort is improved.

In some embodiments, as shown in fig. 4, the controller 30 is configured to: if not satisfy T _{Indoor unit} ≤T _{Indoor setting 1} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 6} Wherein T is _{Face setting 1} <T _{Face setting 6} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Face part} ≤T _{Face setting 6} Determining that the target temperature determination branch is a thirteenth temperature determination branch, acquiring that an output value of the thirteenth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that a temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If T is satisfied _{Face part} ≤T _{Face setting 6} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 5} Wherein T is _{Hand setting 5} <T _{Hand setting 1} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 5} Determining that the target temperature determination branch is a fourteenth temperature determination branch, acquiring that an output value of the fourteenth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Hand portion} ≤T _{Hand setting 5} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 7} Wherein T is _{Face setting 7} <T _{Face setting 6} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 7} Determining that the target temperature determination branch is a fifteenth temperature determination branch, acquiring that an output value of the fifteenth temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Face part} ≤T _{Face setting 7} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 6} Wherein T is _{Hand setting 5} <T _{Hand setting 6} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 6} And determining that the target temperature determination branch is a sixteenth temperature determination branch, acquiring that the output value of the sixteenth temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a bias heating output value, for example, 1, and determining that the temperature cold sensation state of the target user is bias heating. I.e. the user currently feels a higher temperature, the temperature is loweredThe target temperature is set currently, so that the body temperature of a user is reduced, and the comfort is improved.

If not satisfy T _{Hand portion} ≤T _{Hand setting 6} Determining that the target temperature determination branch is a seventeenth temperature determination branch, acquiring that an output value of the seventeenth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

In some embodiments, as shown in fig. 5, the controller 30 is further configured to: if not satisfy T _{Hand portion} ≤T _{Hand setting 1} And executing the flow (1), which specifically comprises the following steps: further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 5} Wherein T is _{Indoor setting 1} <T _{Indoor setting 5} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Indoor unit} ≤T _{Indoor setting 5} The flow proceeds to (2) and is specifically shown with reference to fig. 6. If T is satisfied _{Indoor unit} ≤T _{Indoor setting 5} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 7} Wherein T is _{Hand setting 1} <T _{Hand setting 7} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 7} Determining that the target temperature judging branch is an eighteenth temperature judging branch, acquiring that the output value of the eighteenth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Hand portion} ≤T _{Hand setting 7} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 6} Wherein T is _{Indoor setting 6} <T _{Indoor setting 5} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 6} Determining that the target temperature judging branch is a nineteenth temperature judging branch, acquiring that the output value of the nineteenth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 6} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 7} Wherein T is _{Indoor setting 6} <T _{Indoor setting 7} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Indoor unit} ≤T _{Indoor setting 7} Determining that the target temperature determination branch is a twentieth temperature determination branch, acquiring that an output value of the twentieth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that a temperature cold sensation state of a target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 7} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 8} Wherein T is _{Face setting 1} <T _{Face setting 8} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 8} And determining that the target temperature judging branch is a twenty-first temperature judging branch, acquiring that the output value of the twenty-first temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Face part} ≤T _{Face setting 8} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 8} Wherein T is _{Indoor setting 8} <T _{Indoor setting 7} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 8} Determining that the target temperature determination branch is a twenty-second temperature determination branch, acquiring that an output value of the twenty-second temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 8} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 9} Wherein T is _{Face setting 8} <T _{Face setting 9} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 9} Determining that the target temperature judging branch is a twenty-third temperature judging branch, acquiring that the output value of the twenty-third temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Face part} ≤T _{Face setting 9} Determining that the target temperature judging branch is a twenty-fourth temperature judging branch, acquiring that the output value of the twenty-fourth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

In some embodiments, as shown in fig. 6, the controller 30 is further configured to: if not satisfy T _{Indoor unit} ≤T _{Indoor setting 5} And executing the flow (2), which specifically comprises the following steps: further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 8} Which is provided withIn T _{Hand setting 7} <T _{Hand setting 8} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Hand portion} ≤T _{Hand setting 8} The flow proceeds to (3), specifically referring to fig. 7. If T is satisfied _{Hand portion} ≤T _{Hand setting 8} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 10} Wherein T is _{Face setting 10} <T _{Face setting 8} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 10} Determining that the target temperature determination branch is a twenty-fifth temperature determination branch, acquiring that an output value of the twenty-fifth temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Face part} ≤T _{Face setting 10} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 9} Wherein T is _{Indoor setting 5} <T _{Indoor setting 9} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 9} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 11} Wherein T is _{Face setting 10} <T _{Face setting 11} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 11} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 12} Wherein T is _{Face setting 12} <T _{Face setting 11} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 12} Determining that the target temperature determination branch is a twenty-sixth temperature determination branch, acquiring that an output value of the twenty-sixth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that a temperature cold sensation state of the target user is neutral; i.e. the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, i.e. the air conditioner can currently meet the individual comfort of the userA need.

If not satisfy T _{Face part} ≤T _{Face setting 12} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 10} Wherein T is _{Indoor setting 10} <T _{Indoor setting 9} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 10} And determining that the target temperature judging branch is a twenty-seventh temperature judging branch, acquiring that the output value of the twenty-seventh temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 10} And determining that the target temperature judging branch is a twenty-eighth temperature judging branch, acquiring that the output value of the twenty-eighth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

In some embodiments, as shown in fig. 6, the controller 30 is further configured to: if not satisfy T _{Face part} ≤T _{Face setting 11} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 11} Wherein T is _{Indoor setting 11} <T _{Indoor setting 10} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Indoor unit} ≤T _{Indoor setting 11} Determining that the target temperature determination branch is a twenty-ninth temperature determination branch, acquiring that an output value of the twenty-ninth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that a temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 11} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 9} Wherein T is _{Hand setting 9} <T _{Hand setting 8} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 9} And determining that the target temperature judging branch is a thirty-th temperature judging branch, acquiring that the output value of the thirty-th temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a bias heat output value, for example, 1, and determining that the temperature cold feeling state of the target user is bias heat. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Hand portion} ≤T _{Hand setting 9} Determining that the target temperature judging branch is a thirty-first temperature judging branch, acquiring that the output value of the thirty-first temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

In some embodiments, as shown in fig. 6, the controller 30 is configured to: if not satisfy T _{Indoor unit} ≤T _{Indoor setting 9} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 13} Wherein T is _{Face setting 11} <T _{Face setting 13} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Face part} ≤T _{Face setting 13} And determining that the target temperature judging branch is a thirty-second temperature judging branch, acquiring that the output value of the thirty-second temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If T is satisfied _{Face part} ≤T _{Face setting 13} Then furtherJudging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 10} Wherein T is _{Hand setting 10} <T _{Hand setting 8} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 10} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 11} Wherein T is _{Hand setting 11} <T _{Hand setting 10} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 11} And determining that the target temperature judging branch is a thirty-third temperature judging branch, acquiring that the output value of the thirty-third temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Hand portion} ≤T _{Hand setting 11} And determining that the target temperature judging branch is a thirty-fourth temperature judging branch, acquiring that the output value of the thirty-fourth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

In some embodiments, as shown in fig. 6, the controller 30 is configured to: if not satisfy T _{Hand portion} ≤T _{Hand setting 10} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 12} Wherein T is _{Hand setting 10} <T _{Hand setting 12} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 12} Determining that the target temperature judging branch is a thirty-fifth temperature judging branch, acquiring that the output value of the thirty-fifth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; i.e. the user currently feels neither cold nor hot, at which time the currently set target temperature can be maintained, i.eAir conditioners are currently capable of meeting individual comfort requirements of users.

If not satisfy T _{Hand portion} ≤T _{Hand setting 12} And determining that the target temperature judging branch is a thirty-sixth temperature judging branch, acquiring that the output value of the thirty-sixth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

In some embodiments, as shown in fig. 7, the controller 30 is further configured to: if not satisfy T _{Hand portion} ≤T _{Hand setting 8} Executing the flow (3), which specifically includes: further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 13} Wherein T is _{Hand setting 8} <T _{Hand setting 13} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 13} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 14} Wherein T is _{Face setting 11} <T _{Face setting 14} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 14} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 14} Wherein T is _{Hand setting 14} <T _{Hand setting 13} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Hand portion} ≤T _{Hand setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 12} Wherein T is _{Indoor setting 5} <T _{Indoor setting 12} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Indoor unit} ≤T _{Indoor setting 12} Determining that the target temperature determination branch is a thirty-seventh temperature determination branch, acquiring that an output value of the thirty-seventh temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that a temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and the current set target temperature can be maintained at the moment, namely the air conditioner can meet the individual comfort requirement of the user at present And (5) solving.

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 12} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 15} Wherein T is _{Face setting 15} <T _{Face setting 14} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 15} And determining that the target temperature judging branch is a thirty-eighth temperature judging branch, acquiring that the output value of the thirty-eighth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a bias heat output value, for example, 1, and determining that the temperature cold feeling state of the target user is bias heat. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Face part} ≤T _{Face setting 15} Determining that the target temperature judging branch is a thirty-ninth temperature judging branch, acquiring that the output value of the thirty-ninth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

In some embodiments, as shown in fig. 7, the controller 30 is configured to: if not satisfy T _{Hand portion} ≤T _{Hand setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 13} Wherein T is _{Indoor setting 12} <T _{Indoor setting 13} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Indoor unit} ≤T _{Indoor setting 13} And determining that the target temperature judging branch is a fortieth temperature judging branch, acquiring that the output value of the fortieth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a bias heat output value, for example, 1, and determining that the temperature cold feeling state of the target user is bias heat. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If it meetsT _{Indoor unit} ≤T _{Indoor setting 13} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 16} Wherein T is _{Face setting 15} <T _{Face setting 16} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 16} Determining that the target temperature determination branch is a forty-first temperature determination branch, acquiring that an output value of the forty-first temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a neutral output value, for example, 0, and then, the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If not satisfy T _{Face part} ≤T _{Face setting 16} Determining that the target temperature determination branch is a forty-second temperature determination branch, acquiring that an output value of the forty-second temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a neutral output value, for example, 0, and then, the temperature cold sensation state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

In some embodiments, as shown in fig. 7, the controller 30 is configured to: if not satisfy T _{Face part} ≤T _{Face setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 14} Wherein T is _{Indoor setting 12} <T _{Indoor setting 14} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 15} Wherein T is _{Indoor setting 15} <T _{Indoor setting 14} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 15} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 17} Wherein T is _{Face setting 14} <T _{Face setting 17} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 17} And determining that the target temperature judging branch is a forty-third temperature judging branch, acquiring that the output value of the forty-third temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a bias heating output value, for example, 1, and determining that the temperature cold feeling state of the target user is bias heating. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Face part} ≤T _{Face setting 17} And determining that the target temperature judging branch is a forty-fourth temperature judging branch, acquiring that the output value of the forty-fourth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a bias heating output value, for example, 1, and determining that the temperature cold feeling state of the target user is bias heating. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

In some embodiments, as shown in fig. 7, the controller 30 is configured to: if not satisfy T _{Indoor unit} ≤T _{Indoor setting 15} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 18} Wherein T is _{Face setting 17} <T _{Face setting 18} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 18} And determining that the target temperature judging branch is a forty-fifth temperature judging branch, acquiring that the output value of the forty-fifth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a bias heating output value, for example, 1, and determining that the temperature cold feeling state of the target user is bias heating. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Face part} ≤T _{Face setting 18} Determining that the target temperature determination branch is a forty-sixth temperature determination branch, acquiring that an output value of the forty-sixth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, for example, 0, and then determining that a temperature cold sensation state of a target user is neutral; i.e. the user currently feels cold or hotAt this time, the current set target temperature can be maintained, i.e., the air conditioner can currently meet the individual comfort requirements of the user.

In some embodiments, as shown in fig. 7, the controller 30 is configured to: if not satisfy T _{Indoor unit} ≤T _{Indoor setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 16} Wherein T is _{Indoor setting 14} <T _{Indoor setting 16} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 16} And determining that the target temperature determination branch is a forty-seventh temperature determination branch, acquiring that the output value of the forty-seventh temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a bias heating output value, for example, 1, and determining that the temperature cold sensation state of the target user is bias heating. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If it is less than T _{Indoor unit} ≤T _{Indoor setting 16} And determining that the target temperature determination branch is a forty-eight temperature determination branch, acquiring that the output value of the forty-eight temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a bias heating output value, for example, 1, and determining that the temperature cold sensation state of the target user is bias heating. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

In some embodiments, as shown in fig. 7, the controller 30 is configured to: if not satisfy T _{Hand portion} ≤T _{Hand setting 13} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 17} Wherein the T is _{Indoor setting 5} <T _{Indoor setting 17} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 17} Determining that the target temperature determination branch is a forty-ninth temperature determination branch, acquiring that an output value of the forty-ninth temperature determination branch corresponding to the user personal temperature cold sensation decision tree model is a neutral output value, for example, 0, and determining that a temperature cold sensation state of a target user is neutral; i.e.The user currently feels neither cold nor hot, and at this time, the currently set target temperature can be maintained, i.e., the air conditioner can currently meet the individual comfort requirements of the user.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 17} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 18} Wherein the T is _{Indoor setting 17} <T _{Indoor setting 18} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Indoor unit} ≤T _{Indoor setting 18} And determining that the target temperature judging branch is a fifty-th temperature judging branch, acquiring that the output value of the fifty-th temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, for example, 1, and determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 18} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 19} Wherein T is _{Face setting 14} <T _{Face setting 19} The method comprises the steps of carrying out a first treatment on the surface of the If not satisfy T _{Face part} ≤T _{Face setting 19} Determining that the target temperature judging branch is a fifty-first temperature judging branch, acquiring that the output value of the fifty-first temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a neutral output value, for example, 0, and then the temperature cold feeling state of the target user is neutral; the user can feel neither cold nor hot at present, and at the moment, the current set target temperature can be maintained, namely the air conditioner can meet the individual comfort requirement of the user at present.

If T is satisfied _{Face part} ≤T _{Face setting 19} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 20} Wherein T is _{Face setting 20} <T _{Face setting 19} The method comprises the steps of carrying out a first treatment on the surface of the If T is satisfied _{Face part} ≤T _{Face setting 20} Determining that the target temperature judging branch is a fifty second temperature judging branch, and acquiring the correspondence of the user individual body temperature cold sense decision tree modelAnd if the output value of the fifty-second temperature determination branch is a heat bias output value, for example, 1, the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

If not satisfy T _{Face part} ≤T _{Face setting 20} And determining that the target temperature judging branch is a fifty-third temperature judging branch, and acquiring that the output value of the fifty-third temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a heat bias output value, for example, 1, and then determining that the temperature cold feeling state of the target user is heat bias. Namely, when the current temperature of the user is higher, the current set target temperature is reduced, so that the body temperature of the user is reduced, and the comfort is improved.

The above is a process of judging the user's temperature and cold state using the user's personal temperature and cold decision tree model as shown in fig. 4-7, it will be appreciated that the user's personal temperature and cold recognition process of other models is 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 model of the present disclosure.

Further, in some embodiments, in order to improve the accuracy of identifying the current thermal sensation of the user based on the above-mentioned user individual thermal sensation decision tree model, the controller 30 is further configured to periodically input the face average temperature, the hand temperature, and the indoor environment temperature into the user individual thermal sensation decision tree model, so as to obtain a preset number of output values output by the user individual thermal sensation decision tree model, count and classify the preset number of output values, and take the thermal sensation state corresponding to the output value in the classification with the largest output value as the thermal sensation state of the target user. Therefore, the recognition accuracy of the individual temperature cold feeling of the user can be improved, the model can also automatically perform machine learning to further optimize, the recognition result accuracy is further improved, and a virtuous circle is formed.

In some embodiments, the controller 30 is further configured to: the air conditioner 1 is in a heating mode, and the temperature and cold feeling state of the target user is determined to be cold by continuously presetting times, so that the rotating speed of an indoor fan of the air conditioner is increased; the air conditioner is in a heating mode, and the temperature and cold sensing state of the target user is determined to be hot by the preset times, so that the rotating speed of an indoor fan of the air conditioner is reduced; the air conditioner is in a refrigeration mode, and the temperature and cold feeling state of the target user is determined to be cold by the preset times, so that the rotating speed of an indoor fan of the air conditioner is reduced; and when the air conditioner is in a refrigeration mode and the temperature and cold sensing state of the target user is determined to be hot by the preset times, the rotating speed of an indoor fan of the air conditioner is increased. For example, the controller performs three determinations respectively to obtain independent temperature and cold sensation determination values (-1, 0, 1) through a user individual temperature and cold sensation decision tree model, and then performs statistics, wherein the corresponding temperature and cold sensation with the largest statistics is the final temperature and cold sensation determination output value.

For example, as shown in fig. 8, a flow chart of overall operation logic for comfort control of an air conditioner according to one embodiment of the present disclosure is shown. Wherein, if the output of the controller 30 through the user individual temperature cold sense decision tree model is biased heat (1), the controller 30 sends a cooling signal, the temperature is reduced by 1 ℃ on the basis of the existing set temperature, if the output of the controller 30 through the user individual temperature cold sense decision tree model is biased cold (-1), the controller 30 sends a heating signal, the temperature is increased by 1 ℃ on the basis of the existing set temperature, if the output of the controller 30 through the user individual temperature cold sense decision tree model is neutral (0), the controller 30 keeps the existing set unchanged, and each judging period is based on the air conditioner feedback time. If the continuous three-period temperature cold prediction is cold (or hot), the user's individual cold and hot sense is considered to be stronger, the first-gear wind speed needs to be increased, otherwise, the air conditioner wind speed is unchanged according to the original setting.

In some embodiments, embodiments of the second aspect of the present disclosure further provide a control method of an air conditioner, which may be performed by a controller of the air conditioner, the control method including: acquiring the face temperature and the hand temperature of a target user and the indoor environment temperature; acquiring a face average temperature of a face temperature, and inputting the face average temperature, a hand temperature and an indoor environment temperature into a user individual body temperature cold sense decision tree model, wherein at least eight layers of temperature decision condition sets are configured in the user individual body temperature cold sense decision tree model, the at least eight layers of temperature decision condition sets form a plurality of temperature decision branches, and a first layer of temperature decision condition set comprises: the second layer of temperature decision condition set comprises the decision condition based on the hand temperature: and the third layer of temperature decision conditions based on the indoor environment temperature comprise: the decision condition based on the face average temperature and the hand temperature, the fourth layer temperature decision condition includes: a fifth layer temperature decision condition based on the indoor ambient temperature, the hand temperature, and the face average temperature, the fifth layer temperature decision condition comprising: a decision condition based on the face average temperature and the indoor environment temperature, the sixth layer temperature decision condition including: a decision condition based on the indoor ambient temperature, the face average temperature, and the hand temperature, a seventh layer of temperature decision condition comprising: the eighth layer of temperature decision conditions based on the indoor environment temperature, the hand temperature, and the face average temperature include: a decision condition based on the hand temperature, the face average temperature, and the indoor ambient temperature; determining the temperature and coldness state of a target user according to the output value of the individual temperature and coldness decision tree model of the user; and adjusting the current set target temperature according to the temperature cold state, and controlling the operation of the air conditioner according to the adjusted target temperature.

Of course, in the embodiment, the control method of the air conditioner according to the embodiment of the present disclosure may further include other matters executed by the controller of the air conditioner, such as how to obtain the face average temperature, and how to identify the current state of the temperature sensation of the user based on the user individual temperature sensation decision tree model, which are described above, and will not be repeated herein.

According to the invention, aiming at different thermal comfort requirements of individual users, the artificial intelligence technology based on big data is utilized to establish the user individual body temperature cold sense decision tree model, the user temperature cold sense change rule is self-learned, the user individual thermal comfort requirements are accurately identified, the individual thermal comfort control is carried out, and the individual different and individual comfort control requirements of different users are met. Meanwhile, the defect that the PMV prediction comfort model based on the general crowd weakens individual difference is overcome, so that the air conditioner 1 not only meets the comfort requirement of the general crowd, but also can realize the personalized comfort requirement of a single household user.

In the embodiment, the user individual comfort mode is selected by the user for the individual user, for example, only one user in the room, or the air conditioner 1 detects that only one user in the room automatically starts the user individual comfort mode, the air conditioner 1 may execute the user individual comfort mode according to the embodiment described above, and the user individual comfort is improved. However, when there are many persons indoors, the air conditioner 1 will operate a TMS (thermal humidity management system) comfort mode based on a PMV prediction comfort model suitable for general population.

In some embodiments, when the air conditioner 1 is automatically operated, an indoor user detection function may be started, several people in the room are detected, an individual comfort mode of the user may be automatically started when one person is present, and a TMS comfort mode may be operated when a plurality of persons are present.

For the user individual comfort mode, as shown in fig. 9, when the air conditioner 1 operates, the user individual comfort mode is activated, the indoor temperature and humidity are collected, then the controller 30 calculates the target temperature or receives the target temperature set by the user, the controller 30 receives the face temperature, the hand temperature and the indoor environment temperature of the target user and invokes the user individual temperature cold sense decision tree model, then the target temperature is regulated according to the model output value, and then the air conditioner is controlled to operate automatically based on the regulated target temperature, so that the individual user individual comfort requirement is met, and the user comfort is improved.

The TMS comfort mode based on the PMV predicted comfort model is described below.

In some embodiments, the TMS comfort mode can effectively adjust the cooling/heating comfort control method of the air conditioner, effectively solve the technical problem of how to control the air conditioner through the temperature index and the humidity index, and divide the whole comfortable cooling/heating stage into: the three stages of the initial comfort stage, the stable comfort stage and the healthy comfort stage not only effectively meet the perfect experience of people on the refrigerating comfort requirement, but also realize perfect combination of comfort and energy conservation: in the health and comfort stage, the target set temperature is regulated by 1 ℃ according to the thermal adaptability characteristics of the human body, namely, ts_section=Ts_comfort+1deg.C, so that the purposes of comfort and energy conservation are achieved.

In the embodiment, in the TMS comfort mode, the temperature and humidity target value is first relied on for addressing, the temperature and humidity addressing rule is calculated based on the expected average thermal sensation index value of the human thermal sensation index PMV, and a comfort temperature and humidity reference table (PMV value is +/-0.5) is generated through calculation and is used as a reference table for comfort control of the air conditioner. The air conditioner detects an outdoor ambient temperature Tout, an indoor ambient temperature Tin, and an indoor relative humidity Rh through a sensor. According to the obtained outer ring Tout, the air conditioner enters a corresponding temperature zone, and the human body wear garment thermal resistance clo is combined, so that different temperature compensation values Tmend are obtained for the human body activity metabolism rate M, and the specific operation mode (refrigeration/heating/air supply) of the air conditioner is judged. And addressing in the reference table by taking the acquired indoor relative humidity Rh as a pointer according to the comfort temperature and humidity reference table, determining a target set temperature Ts_comfort in a stable comfort stage, and operating the air conditioner by taking the Ts_comfort as a target set value.

In some embodiments, for TMS comfort mode, six influencing human thermal sensation factors are all around the PMV value from the beginning of temperature and humidity addressing: the environment parameters (air temperature, air relative humidity, wind speed, average radiation temperature) and human body parameters (human body activity intensity, clothing thermal resistance) are addressed, the human body comfort control is used as a core, and compared with the current practice in the industry, the comfort air conditioner is designed and controlled mainly through a single temperature index, or the comfort air conditioner is designed and controlled by adopting a specified single temperature index and a specified single humidity index, so that the advantages are obvious.

Table 1 below shows the names and meanings of the various symbols in the description of the TMS comfort mode.

TABLE 1

In some embodiments, when operating the TMS comfort mode, the air conditioner detects the outer ring Tout, the inner ring Tin, and the indoor relative humidity Rh via its own configured sensors. And entering a corresponding temperature division area according to the acquired Tout, and judging a next specific operation mode (refrigeration/heating/air supply). A new operating temperature zone was determined every 2 hours based on the outer loop temperature Tout. If the operation temperature is still in the original operation temperature zone, the original mode and the stage operation are continuously kept; if the temperature is in the new temperature zone, the original operation mode is interrupted by combining the inner ring temperature Tin of the new temperature zone and the indoor relative humidity Rh, and the operation of a new specific sub-mode is started. Indoor sensor failure or overflow, no humidity sensor, rh defaults to 65%.

In some embodiments, addressing is performed according to a comfort temperature and humidity reference table, and according to the acquired Tout, the mode to be entered is judged, including refrigeration, heating, air supply and the like, and addressing is performed according to rules under different modes, which is specifically as follows.

Table 2 comfort temperature and humidity reference gauge

TABLE 3 temperature Compensation value Table

Outdoor ambient temperature Tout (. Degree. C.)	Clothing thermal resistance clo	Human metabolism rate M	Comfort temperature compensation value T _Mending% ℃)
				24 (fourth temperature zone)	0.5	1.2	0
More than 18 and less than or equal to 24 (third temperature zone)	0.8	1.2	-2
				More than 13 and less than or equal to 18 (second temperature zone)	1.0	1.2	-3
Not more than 13 (first temperature zone)	1.0	1.2	-3

In some embodiments, when the air conditioner is operating in a cooling mode, referring to fig. 10, the addressing procedure is as follows:

the comfort table was referenced according to table 3. If Rh is less than 30% (comfort humidity lower limit value of comfort table), the lowest temperature corresponding to Rh30% in the comfort table is Ts/u _{Initially, the method comprises} (Ts_ _{Initially, the method comprises} =24.5 ℃); if Rh & gt is 65% (comfort humidity upper limit value of comfort table), the lowest temperature corresponding to Rh65% in the comfort table is Ts/u _{Initially, the method comprises} (Ts_ _{Initially, the method comprises} =23.5 ℃); if 65 percent or more of Rh is larger than or equal to 30 percent (the upper and lower limit values of comfort humidity of the comfort table), the lowest temperature corresponding to the nearest humidity in the comfort table is Ts/u _{Initially, the method comprises} (if rh=43%, the closest humidity in the comfort table is rh=45%, and the lowest temperature corresponding to rh=45% is Ts/u) _{Initially, the method comprises} =24℃). The average value (25.25 ℃) of the sum of the upper limit value (26.5 ℃) of the comfort humidity and the lower limit value (24 ℃) of the comfort humidity corresponding to rh=50% in the comfort table was taken as Ts/u _{Shu (Chinese character)} Default was 25.5 ℃.

In some embodiments, when the air conditioner is operating in heating mode, referring to fig. 11, the addressing process is as follows:

the comfort table was referenced according to table 3. If Rh is less than 30% (comfort humidity lower limit value of comfort table), the highest temperature corresponding to Rh30% in the comfort table is Ts/u _{Initially, the method comprises} (Ts_ _{Initially, the method comprises} =27℃). If Rh & gt is 65% (upper limit of comfort humidity of comfort table), the highest temperature corresponding to Rh65% in the comfort table is Ts/u _{Initially, the method comprises} (Ts_ _{Initially, the method comprises} =26℃). If 65 percent or more of Rh is larger than or equal to 30 percent (the upper and lower limit values of comfort humidity of the comfort table), the lowest temperature corresponding to the nearest humidity in the comfort table is Ts/u _{Initially, the method comprises} (if rh=43%, the closest humidity in the comfort table is rh=45%, and the highest temperature corresponding to rh=45% is Ts/u) _{Initially, the method comprises} =26.5 ℃). The average value (25.25 ℃) of the sum of the upper limit value (26.5 ℃) of the comfort humidity and the lower limit value (24 ℃) of the comfort humidity corresponding to rh=50% in the comfort table was taken as ts_comfort, and the default was 25.5 ℃.

In some embodiments, the air conditioner operates in a supply mode, and the air conditioner is not addressed.

The following description will take a process of operating the TMS comfort mode of the air conditioner in the dehumidifying and cooling modes as an example

For example, as shown in FIG. 12, tout > 24 ℃.

If Tin is less than or equal to 28 ℃, and Rh is more than or equal to 65% and enters a dehumidification mode. Table lookup 2 and table 3 to obtain Ts/u in dehumidification mode _{Initially, the method comprises} 、Ts_ _{Shu (Chinese character)} 、Ts_ _Node (wherein Ts/u) _Node ＝Ts_ _{Shu (Chinese character)} +1 ℃ and T complement, and enters an initial comfort stage of dehumidification.

In the dehumidification initial comfort phase: ts=ts/u _{Initially, the method comprises} +T _{Tonifying device} Display screen Ts/u of air conditioner _{Shu (Chinese character)} +T complement and the air conditioner shows an icon of TMS comfort mode operation phase change), when E is less than or equal to 0.5 ℃ and accumulated for 5min or (Tin- (Ts/u) _{Shu (Chinese character)} +T _{Tonifying device} ) And (3) the temperature is less than or equal to minus 0.5 ℃ and is accumulated for 15min, and the dehumidification stable comfort stage// (Tin- (Ts/u) is entered _{Shu (Chinese character)} +T _{Tonifying device} ) And) less than or equal to-0.5 ℃ indicates that the initial comfort stage set temperature is not reached, but the stable comfort stage set temperature is reached.

Dehumidification stabilization comfort phase: ts (1) =ts/u _{Initially, the method comprises} +T _{Tonifying device} +0.5 ℃, 0.5 ℃ is added every 5min, i.e. Ts (n+1) =ts (n) +0.5 ℃, until Ts (n+1) =ts/u _{Shu (Chinese character)} +T _{Tonifying device} N is a natural number greater than or equal to 1. And/adopting a recursive increasing function to prevent the compressor from stopping when the set temperature changes greatly during the stage transition. And when E is less than or equal to-0.5 ℃ and lasts for 30min (starting from Ts (n+1) =Ts_Shu+T supplement), entering a dehumidification healthy comfort stage.

Dehumidifying healthy comfort stage: ts (1) =ts/u _{Shu (Chinese character)} +T _{Tonifying device} +0.5 ℃, 0.5 ℃ is added every 5min, i.e. Ts (n+1) =ts (n) +0.5 ℃, until Ts (n+1) =ts/u _Node +T _{Tonifying device} N is a natural number greater than or equal to 1. And/adopting a recursive increasing function to prevent the compressor from stopping when the set temperature changes greatly during the stage transition.

If Tin is less than or equal to 28 ℃ and Rh is less than 65%, entering an air supply mode.

And if the Tin is more than 28 ℃, entering a refrigeration mode. Table lookup 2 and table lookup 3 to obtain Ts/u in refrigeration mode _{Initially, the method comprises} 、Ts_ _{Shu (Chinese character)} 、Ts_ _Node (wherein Ts/u) _Node ＝Ts_ _{Shu (Chinese character)} +1 ℃ and T complement, and enters the initial comfort stage of refrigeration.

Initial comfort stage of refrigeration: ts=ts/u _{Initially, the method comprises} +T _{Tonifying device} /(display screen Ts/u) _{Initially, the method comprises} +T _{Tonifying device} And has an icon of TMS comfort mode operation phase change), when E is less than or equal to 0.5 ℃ and accumulated for 5min or (Tin- (Ts/u) _{Initially, the method comprises} +T _{Tonifying device} ) And the temperature is less than or equal to minus 0.5 ℃ and is accumulated for 15min, and the refrigerating and comfort stage// (Tin- (Ts/u) is entered _{Initially, the method comprises} +T _{Tonifying device} ) And) less than or equal to-0.5 ℃ indicates that the initial comfort stage set temperature is not reached, but the stable comfort stage set temperature is reached.

Stable and comfortable stage of refrigeration: ts (1) =ts/u _{Initially, the method comprises} +T _{Tonifying device} +0.5 ℃, 0.5 ℃ is added every 5min, i.e. Ts (n+1) =ts (n) +0.5 ℃, until Ts (n+1) =ts/u _{Shu (Chinese character)} +T _{Tonifying device} N is a natural number greater than or equal to 1. And/adopting a recursive increasing function to prevent the compressor from stopping when the set temperature changes greatly during the stage transition. When E is less than or equal to-0.5 ℃ and lasts for 30min (from Ts (n+1) =Ts/u) _{Shu (Chinese character)} +T _{Tonifying device} Start meterAt the same time), the refrigerating health and comfort stage is entered.

Refrigerating healthy and comfortable stage: ts (1) =ts/u _{Shu (Chinese character)} +T _{Tonifying device} +0.5 ℃, 0.5 ℃ is added every 5min, i.e. Ts (n+1) =ts (n) +0.5 ℃, until Ts (n+1) =ts/u _Node +T _{Tonifying device} N is a natural number greater than or equal to 1. And/adopting a recursive increasing function to prevent the compressor from stopping when the set temperature changes greatly during the stage transition.

In some embodiments, the indoor fan operating conditions, compressor operating conditions and frequencies, electric heating operating conditions, transverse air deflectors, longitudinal air deflectors, etc. during the initial comfort, stable comfort, healthy comfort phases of each mode are shown in table 4.

Table 4 air conditioner operation control requirement table for each component

In some embodiments, according to the trend that the peak of the dehumidifying amount of the air conditioner gradually moves to the high wind speed side of the indoor unit along with the increase of the humidity of the indoor environment, the critical points of the dry and wet working conditions are different at different wind speeds, and the wet working conditions can be entered at higher inlet relative humidity when the wind speed is larger; the lower the wind speed is, the humidity control and preservation theory (such as table 5 and fig. 13) that the humidity condition is entered under the lower inlet relative humidity is provided, and the comfort control method of the indoor fan is provided, so that the indoor environment relative humidity is better controlled and kept in the range of the human body comfort humidity.

Absolute dehumidification amount and indoor unit wind speed relation of table 54h

Based on the humidity control and preservation theory, the comfort control method of the indoor fan is provided, and the indoor environment relative humidity is well controlled and kept within the range of the human body comfort humidity. An indoor fan comfort control method when an air conditioner operation mode is a cooling mode according to an embodiment of the present disclosure will be described with reference to fig. 14.

Step S11, the air conditioner starts the TMS function. In step S12, the obtained indoor environment temperature Tin, the obtained outdoor environment temperature Tout, the obtained indoor environment relative humidity Rh and the obtained indoor instantaneous sampling relative humidity Rhi.

Step S13, determining that the air conditioner enters a refrigeration or dehumidification mode according to the indoor environment temperature Tin, the outdoor environment temperature Tout and the indoor environment relative humidity Rh.

Step S14, the air conditioner enters a refrigeration mode. And S15, controlling the rotating speed of the indoor fan.

Step S16, judging whether the set temperature difference E is larger than a first set temperature, for example, 2 ℃, if so, executing step S17; if not, go to step S18.

And S17, controlling the indoor fan to operate at a first windshield wind speed. And S18, controlling the indoor fan to operate at a second windshield wind speed. Step S19, judging whether the set temperature difference E is smaller than or equal to a first set temperature, for example, 2 ℃, if yes, executing step S18; if not, step S17 is performed.

S20, judging whether the first temperature difference is more than or equal to minus 2 ℃ and less than or equal to 2 ℃ within the preset time, and if so, executing the step S21; if not, go to step S18.

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

Step S22, judging whether the second temperature difference is larger than 6, if so, executing step S23; if not, go to step S24.

And S23, controlling the indoor fan to operate at a third wind gear rotating speed.

Step S24, judging whether the second temperature difference is smaller than-6, if yes, executing step S25, and if not, executing step S21.

And S25, controlling the indoor fan to operate at a fourth wind gear rotating speed.

Through the steps S11-S25, the energy consumption of the air conditioner can be reduced while the use comfort of a user is ensured.

TMS comfort mode based on PMV model of embodiments of the present disclosure is described above.

In summary, the air conditioner of the embodiment of the disclosure may set an individual user comfort mode and a TMS comfort mode, where, because the PMV model is an average thermal sensation prediction model established on the basis of a general population, the influence of individual user differences is weakened, in order to meet individual and differential thermal comfort requirements of a domestic air conditioner, especially a domestic individual user, an artificial intelligence technology based on big data is utilized to establish an individual user temperature cold sensation decision tree model, self-learn a user temperature cold sensation change rule, accurately identify the individual user thermal comfort requirement, perform individual thermal comfort control, and meet individual and individual comfort control requirements of different users. The PMV prediction comfort model based on the general crowd also makes up for the defect that individual difference is weakened, so that the air conditioner not only meets the comfort requirement of the general crowd, but also can realize the personalized comfort requirement of a single household user.

The user individual temperature cold feeling decision tree model of the embodiment of the disclosure is based on a machine learning method, and the accuracy of the model is greatly dependent on the data volume participating in training, so that in practical application, the accuracy of the model is improved along with the continuous increase of the data volume. The temperature and coldness prediction model established based on the skin temperature can realize full-automatic control without personnel participating in parameter adjustment under ideal conditions.

Additionally, terminology is used in the above technical description to provide a thorough understanding of the described embodiments. However, no overly detailed details are required to implement the described embodiments. Accordingly, the foregoing description of the embodiments has been presented for purposes of illustration and description. The embodiments presented in the foregoing description and examples disclosed in accordance with these embodiments are provided separately to add context and aid in the understanding of the described embodiments. The foregoing description is not intended to be exhaustive or to limit the described embodiments to the precise form disclosed. Several modifications, alternative adaptations and variations are possible in light of the above teachings. In some instances, well known process steps have not been described in detail in order to avoid unnecessarily obscuring the described embodiments.

Claims

1. An air conditioner, comprising:

a human body temperature detection device for detecting a face temperature and a hand temperature of a target user;

the indoor temperature detection device is used for detecting indoor environment temperature;

a controller connected to the human body temperature detection device and the indoor temperature detection device, the controller configured to:

the face average temperature of the face temperature is obtained, the face average temperature, the hand temperature and the indoor environment temperature are input into a user individual temperature cold sense decision tree model, the temperature cold sense state of the target user is determined according to the output value of the user individual temperature cold sense decision tree model, the current set target temperature is adjusted according to the temperature cold sense state, and the operation of the air conditioner is controlled according to the adjusted target temperature, wherein at least eight layers of temperature decision condition sets are configured in the user individual temperature cold sense decision tree model, and at least eight layers of temperature decision condition sets form a plurality of temperature decision branches, and the first layer of temperature decision condition set comprises: the second layer of temperature decision condition set comprises the decision condition based on the hand temperature: and the third layer of temperature decision conditions based on the indoor environment temperature comprise: the decision condition based on the face average temperature and the hand temperature, the fourth layer temperature decision condition includes: a fifth layer temperature decision condition based on the indoor ambient temperature, the hand temperature, and the face average temperature, the fifth layer temperature decision condition comprising: a decision condition based on the face average temperature and the indoor environment temperature, the sixth layer temperature decision condition including: a decision condition based on the indoor ambient temperature, the face average temperature, and the hand temperature, a seventh layer of temperature decision condition comprising: the eighth layer of temperature decision conditions based on the indoor environment temperature, the hand temperature, and the face average temperature include: a decision condition based on the hand temperature, the face average temperature, and the indoor ambient temperature;

The controller is specifically configured to compare the face average temperature, the hand temperature and the indoor environment temperature with the plurality of temperature judgment branches formed by at least eight layers of temperature decision condition sets in the user individual temperature cold-sensing decision tree model when determining the temperature cold-sensing state of the target user so as to determine a target temperature judgment branch, obtain an output value of the user individual temperature cold-sensing decision tree model corresponding to the target temperature judgment branch, and take the temperature cold-sensing state corresponding to the output value of the target temperature judgment branch as the temperature cold-sensing state of the target user.

2. An air conditioner according to claim 1, wherein,

the facial temperature includes forehead temperature, eye temperature, nose temperature, and cheek temperature;

the controller is configured to record a forehead temperature, an eye temperature, a nose temperature and a cheek temperature of the target user for a preset time period, calculate a forehead temperature average value, an eye temperature average value, a nose temperature average value and a cheek temperature average value for the preset time period, and perform weighted calculation on the forehead temperature average value, the eye temperature average value, the nose temperature average value and the cheek temperature average value to obtain the face average temperature, wherein the weight of the forehead temperature average value is greater than the weight of the eye temperature average value, the weight of the nose temperature average value is greater than the weight of the cheek temperature average value.

3. The air conditioner of claim 1, wherein the controller is configured to:

judging whether the hand temperature meets T _{Hand portion} ≤T _{Hand setting 1} ；

If it meetsT _{Hand portion} ≤T _{Hand setting 1} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 1} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 1} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 1} ；

If not satisfy T _{Face part} ≤T _{Face setting 1} Determining the target temperature judging branch as a first temperature judging branch, acquiring the output value of the first temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, and determining the temperature cold feeling state of the target user as neutral;

if T is satisfied _{Face part} ≤T _{Face setting 1} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 2} Wherein T is _{Indoor setting 2} <T _{Indoor setting 1} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 2} Determining that the target temperature judging branch is a second temperature judging branch, and acquiring that the output value of the second temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 2} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 2} Wherein T is _{Face setting 2} <T _{Face setting 1} ；

If T is satisfied _{Face part} ≤T _{Face setting 2} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 3} Wherein T is _{Indoor setting 2} <T _{Indoor setting 3} ；

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 3} Determining the target temperature judging branch as a third temperature judging branch, and acquiring the output value of the user individual body temperature cold sense decision tree model corresponding to the third temperature judging branch as a bias heatOutputting a value, wherein the temperature cold feeling state of the target user is hotter;

if T is satisfied _{Indoor unit} ≤T _{Indoor setting 3} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 4} Wherein T is _{Indoor setting 4} <T _{Indoor setting 3} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 4} Determining that the target temperature judging branch is a fourth temperature judging branch, and acquiring that the output value of the fourth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a heat bias output value, wherein the temperature cold feeling state of the target user is heat bias;

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 4} And determining that the target temperature judging branch is a fifth temperature judging branch, and acquiring that the output value of the user individual temperature cold sense decision tree model corresponding to the fifth temperature judging branch is a cold output value, wherein the temperature cold sense state of the target user is cold.

4. The air conditioner of claim 3, wherein the controller is further configured to:

if not satisfy T _{Face part} ≤T _{Face setting 2} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 3} Wherein T is _{Face setting 2} <T _{Face setting 3} ；

If T is satisfied _{Face part} ≤T _{Face setting 3} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 2} Wherein T is _{Hand setting 2} <T _{Hand setting 1} ；

If not satisfy T _{Hand portion} ≤T _{Hand setting 2} Determining that the target temperature judging branch is a sixth temperature judging branch, and acquiring that the output value of the user individual temperature cold sense decision tree model corresponding to the sixth temperature judging branch is a neutral output value, wherein the temperature cold sense state of the target user is neutral;

if T is satisfied _{Hand portion} ≤T _{Hand setting 2} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 3} Wherein T is _{Hand setting 3} <T _{Hand setting 2} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 3} Determining that the target temperature judging branch is a seventh temperature judging branch, and acquiring that the output value of the seventh temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a cold output value, wherein the temperature cold feeling state of the target user is cold;

if not satisfy T _{Hand portion} ≤T _{Hand setting 3} And determining that the target temperature judging branch is an eighth temperature judging branch, and acquiring that the output value of the eighth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is a cold output value, wherein the temperature cold feeling state of the target user is cold.

5. The air conditioner of claim 4, wherein the controller is configured to:

if not satisfy T _{Face part} ≤T _{Face setting 3} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 4} Wherein T is _{Face setting 3} <T _{Face setting 4} ；

If T is satisfied _{Face part} ≤T _{Face setting 4} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 4} Wherein T is _{Hand setting 2} <T _{Hand setting 4} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 4} Determining that the target temperature judging branch is a ninth temperature judging branch, acquiring an output value of the user individual temperature cold sense decision tree model corresponding to the ninth temperature judging branch as a cold output value, and determining that the temperature cold sense state of the target user is cold;

If not satisfy T _{Hand portion} ≤T _{Hand setting 4} Determining that the target temperature determination branch is a tenth temperature determination branch, and acquiring the individual userAnd if the output value of the temperature cold sense decision tree model corresponding to the tenth temperature judgment branch is a neutral output value, the temperature cold sense state of the target user is neutral.

6. The air conditioner of claim 5, wherein the controller is configured to:

if not satisfy T _{Face part} ≤T _{Face setting 4} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 5} Wherein T is _{Face setting 4} <T _{Face setting 5} ；

If T is satisfied _{Face part} ≤T _{Face setting 5} Determining that the target temperature judging branch is an eleventh temperature judging branch, and acquiring an output value of the eleventh temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a cold output value, wherein the temperature cold feeling state of the target user is cold;

if not satisfy T _{Face part} ≤T _{Face setting 5} And determining the target temperature judging branch as a twelfth temperature judging branch, and acquiring the output value of the twelfth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a cold output value, wherein the temperature cold feeling state of the target user is cold.

7. The air conditioner of claim 3, wherein the controller is configured to:

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 1} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 6} Wherein T is _{Face setting 1} <T _{Face setting 6} ；

If not satisfy T _{Face part} ≤T _{Face setting 6} Determining that the target temperature judging branch is a thirteenth temperature judging branch, and acquiring that the output value of the thirteenth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if T is satisfied _{Face part} ≤T _{Face setting 6} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 5} Wherein T is _{Hand setting 5} <T _{Hand setting 1} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 5} Determining that the target temperature judging branch is a fourteenth temperature judging branch, and acquiring the output value of the fourteenth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Hand portion} ≤T _{Hand setting 5} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 7} Wherein T is _{Face setting 7} <T _{Face setting 6} ；

If T is satisfied _{Face part} ≤T _{Face setting 7} Determining that the target temperature judging branch is a fifteenth temperature judging branch, and acquiring that the output value of the fifteenth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Face part} ≤T _{Face setting 7} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 6} Wherein T is _{Hand setting 5} <T _{Hand setting 6} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 6} Determining that the target temperature judging branch is a sixteenth temperature judging branch, and acquiring that the output value of the sixteenth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, wherein the temperature cold feeling state of the target user is heat bias;

if not satisfy T _{Hand portion} ≤T _{Hand setting 6} Determining that the target temperature determination branch is a seventeenth temperature determination branch, and acquiring that the output value of the seventeenth temperature determination branch corresponding to the user individual body temperature cold sensation decision tree model is a neutral output value, so as to determine the state of the target user's temperature cold sensationIs neutral.

8. The air conditioner of claim 3, wherein the controller is configured to:

if not satisfy T _{Hand portion} ≤T _{Hand setting 1} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 5} Wherein T is _{Indoor setting 1} <T _{Indoor setting 5} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 5} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 7} Wherein T is _{Hand setting 1} <T _{Hand setting 7} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 7} Determining that the target temperature judging branch is an eighteenth temperature judging branch, and acquiring that the output value of the eighteenth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model is a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Hand portion} ≤T _{Hand setting 7} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 6} Wherein T is _{Indoor setting 6} <T _{Indoor setting 5} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 6} Determining that the target temperature judging branch is a nineteenth temperature judging branch, and acquiring a neutral output value of an output value of the nineteenth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model, wherein the temperature cold feeling state of the target user is neutral;

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 6} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 7} Wherein T is _{Indoor setting 6} <T _{Indoor setting 7} ；

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 7} Determining the target temperature determination branch as a twentieth temperature determinationA branch is determined, and the output value of the twenty-first temperature judgment branch corresponding to the user individual temperature cold sensation decision tree model is obtained to be a neutral output value, so that the temperature cold sensation state of the target user is neutral;

if T is satisfied _{Indoor unit} ≤T _{Indoor setting 7} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 8} Wherein T is _{Face setting 1} <T _{Face setting 8} ；

If T is satisfied _{Face part} ≤T _{Face setting 8} Determining that the target temperature judging branch is a twenty-first temperature judging branch, acquiring an output value of the twenty-first temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, and determining that the temperature cold feeling state of the target user is bias heating;

if not satisfy T _{Face part} ≤T _{Face setting 8} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 8} Wherein T is _{Indoor setting 8} <T _{Indoor setting 7} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 8} Determining that the target temperature judging branch is a twenty-second temperature judging branch, and acquiring the output value of the twenty-second temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 8} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 9} Wherein T is _{Face setting 8} <T _{Face setting 9} ；

If T is satisfied _{Face part} ≤T _{Face setting 9} Determining that the target temperature judging branch is a twenty-third temperature judging branch, and acquiring the output value of the twenty-third temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Face part} ≤T _{Face partSetting 9} And determining that the target temperature judging branch is a twenty-fourth temperature judging branch, and acquiring the output value of the twenty-fourth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral.

9. The air conditioner of claim 8, wherein the controller is configured to:

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 5} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 8} Wherein T is _{Hand setting 7} <T _{Hand setting 8} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 8} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 10} Wherein T is _{Face setting 10} <T _{Face setting 8} ；

If T is satisfied _{Face part} ≤T _{Face setting 10} Determining that the target temperature judging branch is a twenty-fifth temperature judging branch, and acquiring the output value of the twenty-fifth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Face part} ≤T _{Face setting 10} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 9} Wherein T is _{Indoor setting 5} <T _{Indoor setting 9} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 9} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 11} Wherein T is _{Face setting 10} <T _{Face setting 11} ；

If T is satisfied _{Face part} ≤T _{Face setting 11} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 12} Wherein T is _{Face setting 12} <T _{Face setting 11} ；

If T is satisfied _{Face part} ≤T _{Face setting 12} Determining that the target temperature judging branch is a twenty-sixth temperature judging branch, and acquiring the output value of the twenty-sixth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Face part} ≤T _{Face setting 12} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 10} Wherein T is _{Indoor setting 10} <T _{Indoor setting 9} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 10} Determining that the target temperature judging branch is a twenty-seventh temperature judging branch, and acquiring an output value of the twenty-seventh temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating;

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 10} And determining that the target temperature judging branch is a twenty-eighth temperature judging branch, and acquiring that the output value of the twenty-eighth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating.

10. The air conditioner of claim 9, wherein the controller is configured to:

if not satisfy T _{Face part} ≤T _{Face setting 11} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 11} Wherein T is _{Indoor setting 11} <T _{Indoor setting 10} ；

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 11} Determining the target temperature judging branch to be a twenty-ninth temperature judging branch, and acquiring the output value of the twenty-ninth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model to be neutral outputThe value is that the temperature cold feeling state of the target user is neutral;

if T is satisfied _{Indoor unit} ≤T _{Indoor setting 11} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 9} Wherein T is _{Hand setting 9} <T _{Hand setting 8} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 9} Determining that the target temperature judging branch is a thirty-th temperature judging branch, and acquiring that the output value of the thirty-th temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating;

if not satisfy T _{Hand portion} ≤T _{Hand setting 9} And determining the target temperature judging branch as a thirty-first temperature judging branch, and acquiring the output value of the thirty-first temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral.

11. The air conditioner of claim 9, wherein the controller is configured to:

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 9} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 13} Wherein T is _{Face setting 11} <T _{Face setting 13} ；

If not satisfy T _{Face part} ≤T _{Face setting 13} Determining that the target temperature judging branch is a thirty-second temperature judging branch, and acquiring that an output value of the thirty-second temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating;

if T is satisfied _{Face part} ≤T _{Face setting 13} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 10} Wherein T is _{Hand setting 10} <T _{Hand setting 8} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 10} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 11} Wherein T is _{Hand setting 11} <T _{Hand setting 10} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 11} Determining that the target temperature judging branch is a thirty-third temperature judging branch, and acquiring that an output value of the thirty-third temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating;

If not satisfy T _{Hand portion} ≤T _{Hand setting 11} And determining the target temperature judging branch as a thirty-fourth temperature judging branch, and acquiring the output value of the thirty-fourth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating.

12. The air conditioner of claim 11, wherein the controller is configured to:

if not satisfy T _{Hand portion} ≤T _{Hand setting 10} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 12} Wherein T is _{Hand setting 10} <T _{Hand setting 12} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 12} Determining that the target temperature judging branch is a thirty-fifth temperature judging branch, and acquiring a neutral output value of the thirty-fifth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model, wherein the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Hand portion} ≤T _{Hand setting 12} And determining the target temperature judging branch as a thirty-sixth temperature judging branch, and acquiring the output value of the thirty-sixth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, wherein the temperature cold feeling state of the target user is bias heating.

13. The air conditioner of claim 9, wherein the controller is configured to:

if not satisfy T _{Hand portion} ≤T _{Hand setting 8} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 13} Wherein T is _{Hand setting 8} <T _{Hand setting 13} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 13} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 14} Wherein T is _{Face setting 11} <T _{Face setting 14} ；

If T is satisfied _{Face part} ≤T _{Face setting 14} Further judging whether the hand temperature T is satisfied _{Hand portion} ≤T _{Hand setting 14} Wherein T is _{Hand setting 14} <T _{Hand setting 13} ；

If T is satisfied _{Hand portion} ≤T _{Hand setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 12} Wherein T is _{Indoor setting 5} <T _{Indoor setting 12} ；

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 12} Determining that the target temperature judging branch is a thirty-seventh temperature judging branch, and acquiring a neutral output value of the thirty-seventh temperature judging branch corresponding to the user individual temperature cold feeling decision tree model, wherein the temperature cold feeling state of the target user is neutral;

if T is satisfied _{Indoor unit} ≤T _{Indoor setting 12} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 15} Wherein T is _{Face setting 15} <T _{Face setting 14} ；

If T is satisfied _{Face part} ≤T _{Face setting 15} Determining that the target temperature judging branch is a thirty-eighth temperature judging branch, and acquiring the thirty-eighth temperature corresponding to the user individual temperature cold sense decision tree modelThe output value of the degree judging branch is a heat bias output value, and the temperature and cold feeling state of the target user is heat bias;

if not satisfy T _{Face part} ≤T _{Face setting 15} And determining the target temperature judging branch to be a thirty-ninth temperature judging branch, and acquiring the output value of the thirty-ninth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model to be a neutral output value, wherein the temperature cold feeling state of the target user is neutral.

14. The air conditioner of claim 13, wherein the controller is configured to:

if not satisfy T _{Hand portion} ≤T _{Hand setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 13} Wherein T is _{Indoor setting 12} <T _{Indoor setting 13} ；

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 13} Determining that the target temperature judging branch is a fortieth temperature judging branch, and acquiring that an output value of the fortieth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, wherein the temperature cold feeling state of the target user is heat bias;

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 13} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 16} Wherein T is _{Face setting 15} <T _{Face setting 16} ；

If T is satisfied _{Face part} ≤T _{Face setting 16} Determining that the target temperature judging branch is a forty-first temperature judging branch, acquiring the output value of the forty-first temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, and determining that the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Face part} ≤T _{Face setting 16} Determining that the target temperature judging branch is a forty-second temperature judging branch, and acquiring the fourth temperature cold sensation decision tree model corresponding to the user individual body temperatureAnd if the output value of the twelve-temperature judging branch is a neutral output value, the temperature and cold feeling state of the target user is neutral.

15. The air conditioner of claim 13, wherein the controller is configured to:

if not satisfy T _{Face part} ≤T _{Face setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 14} Wherein T is _{Indoor setting 12} <T _{Indoor setting 14} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 15} Wherein T is _{Indoor setting 15} <T _{Indoor setting 14} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 15} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 17} Wherein T is _{Face setting 14} <T _{Face setting 17} ；

If T is satisfied _{Face part} ≤T _{Face setting 17} Determining that the target temperature judging branch is a forty-third temperature judging branch, acquiring an output value of the forty-third temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, and determining that the temperature cold feeling state of the target user is bias heating;

if not satisfy T _{Face part} ≤T _{Face setting 17} And determining that the target temperature judging branch is a forty-fourth temperature judging branch, acquiring an output value of the forty-fourth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model as a bias heating output value, and determining that the temperature cold feeling state of the target user is bias heating.

16. The air conditioner of claim 15, wherein the controller is configured to:

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 15} Then further judge isWhether or not the face average temperature T is satisfied _{Face part} ≤T _{Face setting 18} Wherein T is _{Face setting 17} <T _{Face setting 18} ；

If T is satisfied _{Face part} ≤T _{Face setting 18} Determining that the target temperature judging branch is a forty-fifth temperature judging branch, acquiring an output value of the forty-fifth temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, and determining that the temperature cold feeling state of the target user is bias heating;

if not satisfy T _{Face part} ≤T _{Face setting 18} And determining that the target temperature judging branch is a forty-sixth temperature judging branch, and acquiring the output value of the forty-sixth temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, wherein the temperature cold feeling state of the target user is neutral.

17. The air conditioner of claim 15, wherein the controller is configured to:

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 14} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 16} Wherein T is _{Indoor setting 14} <T _{Indoor setting 16} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 16} Determining that the target temperature judging branch is a forty-seventh temperature judging branch, acquiring an output value of the forty-seventh temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model as a bias heating output value, and determining that the temperature cold feeling state of the target user is bias heating;

If it is less than T _{Indoor unit} ≤T _{Indoor setting 16} And determining that the target temperature judging branch is a forty-eight temperature judging branch, acquiring the output value of the forty-eight temperature judging branch corresponding to the user personal temperature cold feeling decision tree model as a bias heating output value, and determining that the temperature cold feeling state of the target user is bias heating.

18. The air conditioner of claim 13, wherein the controller is configured to:

if not satisfy T _{Hand portion} ≤T _{Hand setting 13} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 17} Wherein the T is _{Indoor setting 5} <T _{Indoor setting 17} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 17} Determining that the target temperature judging branch is a forty-nine temperature judging branch, acquiring the output value of the forty-nine temperature judging branch corresponding to the user individual temperature cold feeling decision tree model as a neutral output value, and determining that the temperature cold feeling state of the target user is neutral;

if not satisfy T _{Indoor unit} ≤T _{Indoor setting 17} Further judging whether the indoor environment temperature T is satisfied _{Indoor unit} ≤T _{Indoor setting 18} Wherein the T is _{Indoor setting 17} <T _{Indoor setting 18} ；

If T is satisfied _{Indoor unit} ≤T _{Indoor setting 18} Determining that the target temperature judging branch is a fifty-th temperature judging branch, and acquiring that an output value of the fifty-th temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, wherein the temperature cold feeling state of the target user is heat bias;

If not satisfy T _{Indoor unit} ≤T _{Indoor setting 18} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 19} Wherein T is _{Face setting 14} <T _{Face setting 19} ；

If not satisfy T _{Face part} ≤T _{Face setting 19} Determining that the target temperature judging branch is a fifty-first temperature judging branch, and acquiring a neutral output value of the fifty-first temperature judging branch corresponding to the user individual temperature cold sense decision tree model, wherein the temperature cold sense state of the target user is neutral;

if T is satisfied _{Face part} ≤T _{Face setting 19} Further judging whether the face average temperature T is satisfied _{Face part} ≤T _{Face setting 20} Wherein T is _{Face setting 20} <T _{Face setting 19} ；

If T is satisfied _{Face part} ≤T _{Face setting 20} Determining that the target temperature judging branch is a fifty second temperature judging branch, and acquiring an output value of the fifty second temperature judging branch corresponding to the user individual body temperature cold sensation decision tree model as a bias heating output value, wherein the temperature cold sensation state of the target user is bias heating;

if not satisfy T _{Face part} ≤T _{Face setting 20} And determining that the target temperature judging branch is a fifty-third temperature judging branch, and acquiring that the output value of the fifty-third temperature judging branch corresponding to the user individual body temperature cold feeling decision tree model is a heat bias output value, wherein the temperature cold feeling state of the target user is heat bias.

19. The air conditioner of any one of claims 1-18, wherein the controller is further configured to:

if the temperature cold sensing state of the target user is determined to be cold, the current set target temperature is increased;

the temperature cold sensing state of the target user is determined to be neutral, and the current set target temperature is maintained;

and if the temperature cold sensing state of the target user is determined to be hot, the current set target temperature is reduced.

20. The air conditioner of any one of claims 1-18, wherein the controller is further configured to:

the air conditioner is in a heating mode, and the temperature and cold feeling state of the target user is determined to be cold by continuously presetting times, so that the rotating speed of an indoor fan of the air conditioner is increased;

the air conditioner is in a heating mode, and the temperature and cold sensing state of the target user is determined to be hot by the preset times, so that the rotating speed of an indoor fan of the air conditioner is reduced;

the air conditioner is in a refrigeration mode, and the temperature and cold feeling state of the target user is determined to be cold by the preset times, so that the rotating speed of an indoor fan of the air conditioner is reduced;

and when the air conditioner is in a refrigeration mode and the temperature and cold sensing state of the target user is determined to be hot by the preset times, the rotating speed of an indoor fan of the air conditioner is increased.

21. The air conditioner of claim 1, wherein the controller is further configured to:

and periodically inputting the average facial temperature, the hand temperature and the indoor environment temperature into the personal temperature cold feeling decision tree model of the user so as to obtain a preset number of output values output by the personal temperature cold feeling decision tree model of the user, counting and classifying the preset number of output values, and taking the temperature cold feeling state corresponding to the output value in the class with the largest output value as the temperature cold feeling state of the target user.

22. A control method of an air conditioner, comprising:

receiving the face temperature, the hand temperature and the indoor environment temperature of a target user, and acquiring the face average temperature of the face temperature;

inputting the face average temperature, the hand temperature and the indoor environment temperature into a user personal temperature cold sense decision tree model, wherein at least eight layers of temperature decision condition sets are configured in the user personal temperature cold sense decision tree model, the at least eight layers of temperature decision condition sets form a plurality of temperature decision branches, and a first layer of temperature decision condition set comprises: the second layer of temperature decision condition set comprises the decision condition based on the hand temperature: and the third layer of temperature decision conditions based on the indoor environment temperature comprise: the decision condition based on the face average temperature and the hand temperature, the fourth layer temperature decision condition includes: a fifth layer temperature decision condition based on the indoor ambient temperature, the hand temperature, and the face average temperature, the fifth layer temperature decision condition comprising: a decision condition based on the face average temperature and the indoor environment temperature, the sixth layer temperature decision condition including: a decision condition based on the indoor ambient temperature, the face average temperature, and the hand temperature, a seventh layer of temperature decision condition comprising: the eighth layer of temperature decision conditions based on the indoor environment temperature, the hand temperature, and the face average temperature include: a decision condition based on the hand temperature, the face average temperature, and the indoor ambient temperature;

Determining the temperature and coldness state of the target user according to the output value of the individual temperature and coldness decision tree model of the user;

and adjusting the current set target temperature according to the temperature cold sensing state, and controlling the operation of the air conditioner according to the adjusted target temperature.