CN113375279B

CN113375279B - Air conditioner control method and air conditioner

Info

Publication number: CN113375279B
Application number: CN202110719333.XA
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: 2021-06-28
Filing date: 2021-06-28
Publication date: 2023-07-11
Anticipated expiration: 2041-06-28
Also published as: CN113375279A

Abstract

The invention discloses an air conditioner control method and an air conditioner, wherein the air conditioner control method comprises the following steps: acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a target user; inputting cheek temperature, nose temperature, eye temperature and forehead temperature into a user individual temperature cold sense decision tree model to determine a temperature cold sense state of a target user, wherein the user individual temperature cold sense decision tree model is a decision tree model formed by taking cheek temperature decision conditions as a first layer of temperature decision conditions, cheek temperature decision conditions or nose temperature decision conditions as a second layer of temperature decision conditions, and cheek temperature decision conditions or forehead temperature decision conditions or eye temperature decision conditions as a third layer of temperature decision conditions; and adjusting the current set temperature according to the temperature cold feeling state of the target user. The control method of the air conditioner can adjust the air outlet temperature according to the temperature and cold feeling state of the individual user, realizes the individual thermal comfort control of the user, and meets the individual comfort requirement of the user.

Description

Air conditioner control method and air conditioner

Technical Field

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

Background

In the related art, an air conditioner generally adjusts an outlet air temperature through a single temperature index. However, the air conditioner can not well adjust the indoor environment temperature to the comfort temperature of the human body according to a single temperature index, so that the body feeling of the user is poor, and the requirement of the user on the comfort degree can not be met.

Disclosure of Invention

The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, an object of the present invention is to provide an air conditioner control method, which can adjust the air outlet temperature according to the temperature and cold feeling state of the individual user, so as to realize the individual thermal comfort control of the user and meet the individual comfort requirement of the user.

An embodiment of a first aspect of the present invention provides a method for controlling an air conditioner, including: acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a target user; inputting the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into a user individual temperature cold feeling decision tree model to determine a temperature cold feeling state of the target user, wherein the user individual temperature cold feeling decision tree model is a decision tree model formed by taking a cheek temperature decision condition as a first layer of temperature decision condition, a cheek temperature decision condition or a nose temperature decision condition as a second layer of temperature decision condition, and a cheek temperature decision condition or a forehead temperature decision condition or an eye temperature decision condition as a third layer of temperature decision condition; and adjusting the current set temperature according to the temperature cold sensing state of the target user.

According to the air conditioner control method provided by the embodiment of the invention, the user individual temperature cold feeling decision tree model is utilized to accurately identify the effect of the user individual temperature cold feeling, and the cheek temperature, nose temperature, eye temperature and forehead temperature of the target user are input into the user individual temperature cold feeling decision tree model to acquire the thermal comfort requirement of the target user, namely the thermal cold feeling state, so that the air conditioner can conveniently adjust the current set temperature according to the thermal cold feeling state of the user, the air outlet temperature of the air conditioner meets the individual comfort requirement of the user, the individual different and individual comfort control requirements of different users are realized in the mode, and the use comfort of the individual user is improved.

In some embodiments, inputting the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature into a user individual temperature coldness decision tree model to determine a coldness state of the target user includes: the user individual temperature cold sensing decision tree model is configured with a plurality of temperature decision branches, and each temperature decision branch is provided with the first layer temperature decision condition, the second layer temperature decision condition and the third layer temperature decision condition; comparing the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature to each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch; obtaining an output value of the user individual temperature cold sense decision tree model corresponding to the target temperature judgment branch; and taking the temperature and cold sensing state corresponding to the output value as the temperature and cold sensing state of the target user.

In some embodiments, comparing the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature with each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch, obtaining an output value of the user individual temperature coldness decision tree model corresponding to the target temperature decision branch, taking a coldness state corresponding to the output value as the coldness state of the target user, including:

determining that the cheek temperature is smaller than or equal to a first temperature value, further determining that the cheek temperature is smaller than or equal to a second temperature value, wherein the target temperature judging branch is a first temperature judging branch, obtaining that an output value of the user individual temperature cold sensation decision tree model corresponding to the first temperature judging branch is a neutral output value, and the temperature cold sensation state of the target user is neutral, and the second temperature value is smaller than the first temperature value;

or determining that the cheek temperature is smaller than or equal to a first temperature value, further determining that the cheek temperature is larger than a second temperature value, further determining that the eye temperature is smaller than or equal to a third temperature value, and then determining that the target temperature determination branch is a second temperature determination branch, obtaining that an output value of the user individual temperature cold sensation decision tree model corresponding to the second temperature determination branch is a cold output value, and then determining that the temperature cold sensation state of the target user is cold;

Or determining that the cheek temperature is smaller than or equal to a first temperature value, further determining that the cheek temperature is larger than a second temperature value, further determining that the eye temperature is larger than a third temperature value, and obtaining that an output value of the third temperature determination branch corresponding to the user individual temperature coldness decision tree model is a neutral output value, wherein the target temperature determination branch is a third temperature determination branch, and the coldness state of the target user is neutral;

or determining that the cheek temperature is greater than a first temperature value, further determining that the nose temperature is less than or equal to a fourth temperature value, and further determining that the forehead temperature is less than or equal to a fifth temperature value, wherein the target temperature judging branch is a fourth temperature judging branch, and obtaining that an output value of the user individual temperature cold sensation decision tree model corresponding to the fourth temperature judging branch is a neutral output value, and the temperature cold sensation state of the target user is neutral, wherein the fifth temperature value is greater than the first temperature value and less than the fourth temperature value;

or determining that the cheek temperature is greater than a first temperature value, further determining that the nose temperature is less than or equal to a fourth temperature value, and further determining that the forehead temperature is greater than a fifth temperature value, wherein the target temperature judgment branch is a fifth temperature judgment branch, obtaining that an output value of the user individual temperature cold sensation decision tree model corresponding to the fifth temperature judgment branch is a neutral output value, and the temperature cold sensation state of the target user is neutral;

Or determining that the cheek temperature is greater than a first temperature value, further determining that the nose temperature is greater than a fourth temperature value, and further determining that the cheek temperature is less than or equal to a sixth temperature value, wherein the target temperature determination branch is a sixth temperature determination branch, and obtaining a neutral output value of the user individual temperature cold sensation decision tree model corresponding to the sixth temperature determination branch, and the temperature cold sensation state of the target user is neutral, wherein the sixth temperature value is greater than the fourth temperature value;

or, determining that the cheek temperature is greater than the first temperature value, further determining that the nose temperature is greater than the fourth temperature value, and further determining that the cheek temperature is greater than the sixth temperature value, wherein the target temperature judging branch is a seventh temperature judging branch, and obtaining that an output value of the user individual temperature cold feeling decision tree model corresponding to the seventh temperature judging branch is a neutral output value, and then the temperature cold feeling state of the target user is neutral.

In some embodiments, adjusting the current set temperature according to the temperature cold state of the target user includes: if the temperature cold sensing state of the target user is determined to be cold, the current set temperature is increased; or if the temperature cold state of the target user is determined to be neutral, maintaining the current set temperature.

In some embodiments, the air conditioner control method further includes: 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; or the air conditioner is in a refrigeration mode, and if the temperature and cold feeling state of the target user is determined to be colder by continuous preset times, the rotating speed of the indoor fan of the air conditioner is reduced.

In some embodiments, inputting the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature into a user individual temperature coldness decision tree model to determine a coldness state of the target user, further comprising: periodically inputting the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into the user individual temperature cold decision tree model to obtain a preset number of output values output by the user individual temperature cold decision tree model; counting and classifying the preset number of output values; and taking the temperature and cold sensing state corresponding to the output value in the classification with the largest output value as the temperature and cold sensing state of the target user.

An embodiment of a second aspect of the present invention provides an air conditioner including: at least one processor; a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the at least one processor implements the air conditioner control method according to the above embodiment when executing the computer program. Or the air conditioner comprises: the device comprises a compressor, an indoor heat exchanger, an outdoor heat exchanger, a four-way valve and a throttling element; the temperature acquisition device is used for acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a user; and the controller is connected with the temperature acquisition device and used for adjusting the current set temperature according to the air conditioner control method in the embodiment.

According to the air conditioner provided by the embodiment of the invention, the effect of individual temperature cold feeling of a user can be identified by utilizing the individual temperature cold feeling decision tree model of the user, and the cheek temperature, nose temperature, eye temperature and forehead temperature of a target user are input into the individual temperature cold feeling decision tree model of the user through the controller, so that the thermal comfort requirement of the target user, namely the temperature cold feeling state, is accurately known, the air conditioner can conveniently adjust the current set temperature according to the temperature cold feeling state of the user, the air outlet temperature of the air conditioner meets the individual comfort requirement of the user, the individual different and individual comfort control requirements of different users are realized in the mode, and the use comfort of the individual user is improved.

Additional aspects and advantages of the invention 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 invention.

Drawings

The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:

fig. 1 is a flowchart of an air conditioner control method according to an embodiment of the present invention;

fig. 2 is a flowchart of an air conditioner control method according to another embodiment of the present invention;

FIG. 3 is a schematic diagram of a user individual temperature cold decision tree model according to one embodiment of the invention;

fig. 4 is a flowchart of an air conditioner control method according to another embodiment of the present invention;

fig. 5 is a block diagram of an air conditioner control device according to an embodiment of the present invention;

fig. 6 is a structural view of an air conditioner according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention will be described in detail below, by way of example with reference to the accompanying drawings.

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The air conditioner in this application performs a refrigeration cycle of the air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies a refrigerant to the air that has been conditioned and heat exchanged.

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.

An air conditioner according to some embodiments of the present application includes an air conditioner indoor unit installed in an indoor space. The indoor unit of the air conditioner is connected to the outdoor unit of the air conditioner installed in the outdoor space through a pipe. The air conditioner outdoor unit may be provided with a compressor, an outdoor heat exchanger, an outdoor fan, an expander, and the like of the refrigeration cycle, and the air conditioner indoor unit may be provided with an indoor heat exchanger and an indoor fan.

In the related art, an air conditioner generally designs and controls a comfort air conditioner by a single temperature index or by employing a designated single temperature index and a designated single humidity index. However, the air conditioner is adjusted according to only a single temperature index and a single humidity index, and does not fully consider various factors affecting human heat sensation, such as air temperature, air relative humidity, wind speed, average radiation temperature, activity intensity of human body, thermal resistance of clothes, etc., so that users stay in the indoor environment created by the air conditioner for a long time, and the air conditioner is extremely easy to get an "air conditioner disease", and therefore, the single temperature and the single humidity index are adjusted, and the technical problem of people's comfort and health requirements cannot be effectively met.

In order to solve the above-mentioned problems, an embodiment of the present invention provides an air conditioner control method, which can adjust the air outlet temperature according to the temperature and cold feeling state of the individual user, so as to realize individual thermal comfort control for the user and meet the individual comfort requirement of the user.

A control method of an air conditioner according to an embodiment of the present invention, as shown in fig. 1, is described below with reference to the accompanying drawings, and includes at least steps S1 to S4.

Step S1, acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a target user.

Because the existing control mode of the air conditioner takes the average heat sensation index established on the basis of the common crowd as a reference, for example, a PMV (Predicted Mean Vote, human body heat sensation index) model adopted by the air conditioner is an average heat sensation prediction model based on most users in the same environment, the influence of individual difference of the users is weakened, so that in order to meet the individual and differential heat comfort requirements of the users, the embodiment of the invention judges the own heat comfort requirement of the users according to the cheek temperature, nose temperature, eye temperature and forehead temperature of the individual users, thereby being convenient for the air conditioner to execute a corresponding control strategy according to the heat comfort requirement of the individual users, carrying out individual heat comfort control on the users and meeting the individual comfort requirement of the users.

In an embodiment, an infrared device, such as an infrared camera, may be provided on the air conditioner to collect cheek temperature, nose temperature, eye temperature, and forehead temperature of the target user and transmit the collected data to a controller of the air conditioner.

And S2, inputting the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into a user individual body temperature cold sense decision tree model to determine the temperature cold sense state of a target user, wherein the user individual body temperature cold sense decision tree model is a decision tree model formed by taking the cheek temperature decision condition as a first layer of temperature decision condition, the cheek temperature decision condition or the nose temperature decision condition as a second layer of temperature decision condition, and the cheek temperature decision condition or the forehead temperature decision condition or the eye temperature decision condition as a third layer of temperature decision condition.

In the embodiment, in order to aim at different thermal comfort demands of individual users of families, the embodiment of the invention utilizes the artificial intelligence technology based on big data to self-learn the change rule of the thermal sensation of the users to establish the individual thermal sensation decision tree model of the users, thereby realizing the purpose of accurately identifying the thermal comfort demands of the individuals of the users, so that after the individual thermal sensation decision tree model of the users is applied to the air conditioner, the air conditioner can judge the thermal comfort demands of the individuals of the users according to the individual thermal sensation decision tree model of the users and carry out personalized thermal comfort control, thereby meeting the different and personalized comfort control demands of the individuals of the different users.

The artificial intelligence technology based on big data establishes a user individual body temperature cold sense decision tree model, and the modeling flow is as follows.

1) And (5) data acquisition. Compared with a PMV model with physical meaning, the accuracy of the artificial intelligence technology based on big data in predicting human body heat sensation is higher than that of a conventional physical model, and the accuracy of the artificial intelligence technology based on big data is greatly dependent on the data quantity participating in training, so that in practical application, along with the continuous increase of the data quantity, the accuracy of the built model is also improved, and therefore, in order to enable an air conditioner to accurately identify the temperature and cold sensation state of a user, the acquisition of the data comprises the acquisition of environmental state parameters under various environments and the acquisition of body surface data of different people, wherein the various environments are a plurality of environments in different regions, different seasons, different weather and other states; the environmental state parameters comprise indoor environmental temperature, environmental relative humidity, wind speed, clothing thermal resistance and other state parameters; different people are sampling crowds with different age groups, different sexes, different species and other physical characteristics; the human body surface data includes skin temperature, human body heat sensation, human body metabolic rate and the like of a plurality of different human body parts. Therefore, a model training large database is built based on the collected data, so that the temperature and cold change rule of the user can be self-learned by utilizing an artificial intelligence technology, and the accuracy of identifying the individual thermal comfort requirement of the user can be improved when the air conditioner is applied to the air conditioner.

2) And (5) model training. And constructing a temperature and coldness decision tree prediction model by using skin temperature data of different human body parts, and performing model screening, debugging and optimizing on the temperature and coldness decision tree prediction model by using collected environmental state parameters, human body thermal sensation, human body metabolic rate and other parameters in various environments. The temperature and cold sense decision tree prediction model established based on the skin temperature can be fully automatically controlled under ideal conditions, the temperature and cold sense change rule of a user can be self-learned, the parameters do not need to be manually regulated, and the modeling efficiency is improved.

3) A model is generated. In the construction process of the decision tree model, parameters which cannot be directly optimized through an algorithm, namely super parameters, are output by an optimal temperature and cold sense decision tree prediction model which manually participates in the adjustment and selection training of the super parameters, and the optimal temperature and cold sense decision tree prediction model is the required individual temperature and cold sense decision tree model of the user.

4) And (5) predicting. And testing the optimal temperature and cold sense decision tree prediction model, and predicting to obtain the model accuracy so as to judge the generalization degree of the optimal temperature and cold sense decision tree prediction model.

Therefore, based on the collected parameters such as skin temperature, human body heat sensation, room temperature, relative humidity, wind speed, metabolic rate, clothing thermal resistance and the like, a model training large database is formed in the mode, and a user temperature and cold sensation change rule is self-learned by utilizing an artificial intelligence technology, so that a user individual temperature and cold sensation decision tree model capable of accurately identifying user individual heat and comfort requirements is finally built, when the user individual temperature and cold sensation decision tree model is applied to an air conditioner, different from a predicted comfort mode applied to a plurality of users in the air conditioner, the method provided by the embodiment of the invention can be used for directly identifying and predicting the temperature and cold sensation of individual users by utilizing the user individual temperature and cold sensation decision tree model, so that the self heat and comfort requirements of the users, namely the temperature and cold sensation states, can be accurately obtained, and a corresponding control strategy is generated by the predicted result of the users, so that the indoor environment temperature can be conveniently regulated to the comfort temperature of the individual users, the purpose of the optimal individual comfort states of the users is achieved, and the individual comfort requirements of the family users are met.

In addition, unlike the reference of only using a single temperature index as the comfort control of the air conditioner, when the user individual body temperature cold feeling decision tree model is built, the embodiment of the invention comprehensively considers the human body physical sign state parameters under different environments, such as various factors affecting the human body heat feeling: the temperature and cold sense decision tree prediction model is debugged and optimized by the air temperature, the relative humidity of the air, the wind speed, the average radiation temperature, the activity intensity of a human body, the thermal resistance of clothes and the like, so that when the user individual temperature and cold sense decision tree model is applied to an air conditioner, the air outlet temperature is regulated by the user individual temperature and cold sense decision tree model, and the requirements of the user individual on comfort and health can be effectively met.

The temperature sensing state can be understood as the sensing condition of the user on the temperature. The temperature and cold feeling state can be classified into various states according to actual conditions, and is not limited, for example, the temperature and cold feeling state can be classified into three states of partial coldness, neutral and partial warmth according to predicted heat feeling conditions. It can be understood that the more the classification of the temperature and cold feeling states, the more accurate the result of identifying the individual temperature and cold feeling of the user, and the more the comfort level of the individual user can be improved.

In an embodiment, the user individual includes a plurality of skin portions, and based on big data, the skin portions with collected skin portions representing the cold feeling characteristics of human body and corresponding temperature decision conditions are finally used for building and forming a user individual temperature cold feeling decision tree model by utilizing artificial intelligence technology, that is, the temperature decision conditions at the collected skin portions with collected skin portions representing the cold feeling characteristics of human body, namely, cheek temperature decision conditions, nose temperature decision conditions, eye temperature decision conditions and forehead temperature decision conditions are respectively used as different layer temperature decision conditions, so that the formed user individual temperature cold feeling decision tree model can accurately judge the thermal comfort requirement of the user, namely, the state of the cold feeling. When the method is applied to the air conditioner, the controller inputs the collected cheek temperature, nose temperature, eye temperature and forehead temperature of the target user into the individual body temperature cold feeling decision tree model of the user, and the temperature cold feeling state of the target user can be obtained after the judgment of each layer of temperature decision conditions.

Specifically, a user individual temperature cold sense decision tree model is stored in the controller of the air conditioner in advance, when a single user exists in an indoor space, the controller of the air conditioner inputs the acquired cheek temperature, nose temperature, eye temperature and forehead temperature into the user individual temperature cold sense decision tree model, and the user individual temperature cold sense decision tree model is used for identifying and predicting the individual temperature cold sense of the user so as to accurately know the thermal comfort requirement of the user, namely the temperature cold sense state, so that the air conditioner can conveniently generate a corresponding control strategy according to the self temperature cold sense state of the user so as to meet the individual comfort requirement of the user.

And S3, adjusting the current set temperature according to the temperature cold feeling state of the target user.

The current set temperature is the temperature stored in the controller of the air conditioner. For example, the current set temperature may be a temperature stored after the controller of the air conditioner performs algorithm processing on the user set temperature and the environmental load parameter; or when the air conditioner operates in a TMS (Thermal and humidity Management System, thermal humidity management system) comfort control mode, the current set temperature can be a comfort stage target temperature corresponding to a current operation comfort stage stored in a controller of the air conditioner, wherein the TMS comfort control mode comprises an initial comfort stage, a stable comfort stage and a health comfort stage which are sequentially set along a time sequence, different comfort stage target temperatures are corresponding to different comfort stages under different comfort stages, and the controller stores the comfort stage target temperature of the current operation comfort stage when the air conditioner operates in a certain comfort stage.

In the embodiment, after the temperature and cold feeling state of the target user is determined, the air conditioner can generate a corresponding control strategy according to the temperature and cold feeling state of the user so as to adjust the current set temperature, so that the indoor environment temperature is adjusted to the comfort temperature of the user individual, the purpose of achieving the optimal comfort state of the user individual is achieved, and the personalized comfort requirement of the user is met.

It can be appreciated that, in order to meet the individual comfort requirement of the user, the method of the embodiment of the present invention is applicable to the situation that a single user exists in the indoor space, and the user serves as the target user, and the individual thermal comfort requirement of the user is identified by collecting the cheek temperature, the nose temperature, the eye temperature and the forehead temperature of the user. That is, when a single user exists in the indoor space, the infrared device on the air conditioner can automatically collect the cheek temperature, the nose temperature, the eye temperature and the forehead temperature of the user and operate according to the control modes of the steps S1-S3 provided by the embodiment of the invention, so that the personalized comfort requirement of the user is met; when a plurality of users exist in the indoor space, the air conditioner automatically operates in a common control mode such as a TMS comfort control mode, thereby satisfying the comfort requirements of each user. Therefore, the air conditioner can not only realize personalized comfort requirements for individual household users, but also meet comfort requirements of common people, and improve use comfort of users.

TABLE 1

Temperature/. Degree.C	Default relative humidity RH%
		18	65%
19	65%
		20	60%
21	55%
		22	55%
23	55%
		24	50%
25	45%
		26	40%
27	40%
		28	40%

For example, taking fig. 2 as an example, the overall control method of the air conditioner is as follows.

And S4, the air conditioner operates in a TMS comfort control mode.

And S5, the air conditioner collects the indoor environment temperature and the indoor environment relative humidity.

And S6, the air conditioner runs a user personalized comfortable control mode, namely, the temperature and cold state of the individual user is identified by utilizing the individual temperature and cold decision tree model of the user.

Step S7, when a plurality of users exist in the indoor space, calculating target temperature and target humidity according to the indoor environment temperature and the indoor environment relative humidity, and controlling the operation of the air conditioner according to the target temperature and the target humidity so as to meet the comfort requirement of each user; the air conditioner stores a temperature and humidity comparison table, for example, as shown in table 1, that is, corresponding default relative humidity is set corresponding to different temperatures, when a single user exists in the indoor space, the current set temperature is adjusted according to the cheek temperature, nose temperature, eye temperature and forehead temperature of the target user, namely, the target temperature is calculated, the target humidity corresponding to the target temperature is obtained, and the air conditioner is controlled to operate according to the target temperature and the target humidity, so that the indoor environment meets the personalized comfort requirement of the user.

Step S8, the air conditioner automatically operates according to the target temperature and the target humidity.

In some embodiments, a plurality of temperature decision branches are configured in a user individual temperature cold decision tree model, each temperature decision branch is provided with a first layer temperature decision condition, a second layer temperature decision condition and a third layer temperature decision condition, a target temperature decision branch is determined by comparing cheek temperature, nose temperature, eye temperature and forehead temperature with each layer temperature decision condition in the plurality of temperature decision branches, an output value of the user individual temperature cold decision tree model corresponding to the target temperature decision branch is obtained, and a temperature cold state corresponding to the output value is taken as a temperature cold state of a target user. In this way, the individual temperature and cold sense decision tree model of the user is utilized to identify and predict the individual temperature and cold sense of the target user so as to accurately acquire the temperature and cold sense state of the target user, thereby being convenient for the air conditioner to generate a corresponding strategy according to the temperature and cold sense state so as to meet the comfort requirement of the target user.

For the convenience of storage and recording of the air conditioner, when the program is preset in the air conditioner, different temperature and cold sensing states are respectively represented by different values, for example, when the temperature and cold sensing states comprise partial cooling, neutral and partial heating, the value of "1" can be set to represent partial heating, the value of "0" can be set to represent neutral, the value of "-1" can be set to represent partial cooling, or other values can be set to represent different temperature and cold sensing states, so that the air conditioner is not limited. In this way, after the target temperature determination branch which is satisfied by the cheek temperature, nose temperature, eye temperature and forehead temperature of the target user is determined, the temperature and coldness state of the target user can be obtained according to the output value of the target temperature determination branch, for example, if the output value of the target temperature determination branch is 1, it is indicated that the temperature and coldness state of the target user is warm.

Specifically, for a user individual temperature cold-sensing decision tree model, the model includes a plurality of temperature decision branches, each temperature decision branch includes a plurality of layers of temperature decision conditions, each layer of temperature decision conditions represents a possible decision result, in a traversal process from a start point to an end point along the user individual temperature cold-sensing decision tree model, a decision is performed at each layer of temperature decision conditions, a decision result output for each layer of temperature decision conditions results in different temperature decision branches, and finally reaches an end point of a certain temperature decision branch, and each end point of each temperature decision branch corresponds to a temperature cold state, that is, each temperature decision branch performs independent temperature cold-sensing decision. Based on the above, when the cheek temperature, nose temperature, eye temperature and forehead temperature of the target user are input, the temperatures of the input models are judged by utilizing a plurality of temperature judging branches of the individual temperature cold sensation decision tree model of the user so as to determine the temperature judging branch to which the temperature of the input model belongs, wherein the temperature judging branch is the target temperature judging branch, and the temperature cold sensation state of the target user can be accurately known according to the output value of the target temperature judging branch, so that the following air conditioner can generate corresponding strategies according to the temperature cold sensation state to meet the comfort requirement of the target user.

The cheek temperature, nose temperature, eye temperature and forehead temperature of the target user are input into the user individual temperature coldness decision tree model to determine the temperature coldness state of the target user, wherein seven temperature decision branches are configured in the corresponding user individual temperature coldness decision tree model according to the cheek temperature, nose temperature, eye temperature and forehead temperature, and the decision process is as follows.

And determining that the cheek temperature is smaller than or equal to a first temperature value, further determining that the cheek temperature is smaller than or equal to a second temperature value, determining that the target temperature determination branch is the first temperature determination branch, obtaining that the output value of the user individual temperature cold sensation decision tree model corresponding to the first temperature determination branch is a neutral output value, and determining that the temperature cold sensation state of the target user is neutral, wherein the second temperature value is smaller than the first temperature value.

Or determining that the cheek temperature is smaller than or equal to the first temperature value, further determining that the cheek temperature is larger than the second temperature value, further determining that the eye temperature is smaller than or equal to the third temperature value, and enabling the target temperature judging branch to be the second temperature judging branch, obtaining that the output value of the user individual body temperature cold feeling decision tree model corresponding to the second temperature judging branch is a cold output value, and enabling the temperature cold feeling state of the target user to be cold.

Or determining that the cheek temperature is smaller than or equal to the first temperature value, further determining that the cheek temperature is larger than the second temperature value, further determining that the eye temperature is larger than the third temperature value, and enabling the target temperature judgment branch to be the third temperature judgment branch to obtain that the output value of the user individual body temperature cold sensation decision tree model corresponding to the third temperature judgment branch is a neutral output value, and enabling the temperature cold sensation state of the target user to be neutral.

Or determining that the cheek temperature is larger than the first temperature value, further determining that the nose temperature is smaller than or equal to the fourth temperature value, and further determining that the forehead temperature is smaller than or equal to the fifth temperature value, wherein the target temperature judging branch is the fourth temperature judging branch, obtaining that the output value of the user individual body temperature cold feeling decision tree model corresponding to the fourth temperature judging branch is a neutral output value, and the temperature cold feeling state of the target user is neutral, wherein the fifth temperature value is larger than the first temperature value and smaller than the fourth temperature value.

Or determining that the cheek temperature is larger than the first temperature value, further determining that the nose temperature is smaller than or equal to the fourth temperature value, and further determining that the forehead temperature is larger than the fifth temperature value, wherein the target temperature judging branch is the fifth temperature judging branch, obtaining that the output value of the user individual body temperature cold feeling decision tree model corresponding to the fifth temperature judging branch is a neutral output value, and then the temperature cold feeling state of the target user is neutral.

Or determining that the cheek temperature is greater than the first temperature value, further determining that the nose temperature is greater than the fourth temperature value, and further determining that the cheek temperature is less than or equal to the sixth temperature value, wherein the target temperature judging branch is a sixth temperature judging branch, obtaining that the output value of the user individual body temperature cold feeling decision tree model corresponding to the sixth temperature judging branch is a neutral output value, and the temperature cold feeling state of the target user is neutral, wherein the sixth temperature value is greater than the fourth temperature value.

Or determining that the cheek temperature is greater than the first temperature value, further determining that the nose temperature is greater than the fourth temperature value, and further determining that the cheek temperature is greater than the sixth temperature value, wherein the target temperature judging branch is a seventh temperature judging branch, and obtaining that the output value of the user individual temperature cold feeling decision tree model corresponding to the seventh temperature judging branch is a neutral output value, and the temperature cold feeling state of the target user is neutral.

It should be noted that, each temperature value from the first temperature value to the sixth temperature value mentioned in the above-mentioned user individual temperature cold-sensing decision tree model is obtained by continuously debugging and optimizing the artificial intelligence technology based on big data, so that the user individual temperature cold-sensing decision tree model judges the temperature cold-sensing state of the target user through the above temperature values, and can accurately know the thermal comfort requirement of the target user, so that the air conditioner can perform personalized thermal comfort control, and the personalized comfort regulation requirement of the target user is met.

Specifically, as shown in fig. 3, the model of the user personal temperature cold decision tree established based on continuous debugging and optimization of big data by using artificial intelligence technology is as follows, wherein the value "1" is used for indicating partial heat, the value "0" is used for indicating neutrality, and the value "-1" is used for indicating partial cold.

First temperature determination branch: the cheek temperature is less than or equal to the first temperature value, the cheek temperature is less than or equal to the second temperature value, the corresponding output value is a neutral output value 0, and the temperature cold feeling state of the target user is neutral.

Second temperature determination branch: the cheek temperature is less than or equal to the first temperature value, the cheek temperature is more than the second temperature value, the eye temperature is less than or equal to the third temperature value, the corresponding output value is the colder output value-1, and the temperature coldness state of the target user is colder.

Third temperature determination branch: the cheek temperature is less than or equal to the first temperature value, the cheek temperature is more than the second temperature value, the eye temperature is more than the third temperature value, the corresponding output value is neutral output value 0, and the temperature cold feeling state of the target user is neutral.

Fourth temperature determination branch: the cheek temperature is larger than the first temperature value, the nose temperature is smaller than or equal to the fourth temperature value, the forehead temperature is smaller than or equal to the fifth temperature value, the corresponding output value is a neutral output value 0, and the temperature cold feeling state of the target user is neutral.

Fifth temperature determination branch: the cheek temperature is larger than the first temperature value, the nose temperature is smaller than or equal to the fourth temperature value, the forehead temperature is larger than the fifth temperature value, the corresponding output value is a neutral output value 0, and the temperature cold feeling state of the target user is neutral.

Sixth temperature determination branch: the cheek temperature is larger than the first temperature value, the nose temperature is larger than the fourth temperature value, the cheek temperature is smaller than or equal to the sixth temperature value, the corresponding output value is a neutral output value 0, and the temperature cold feeling state of the target user is neutral.

Seventh temperature determination branch: the cheek temperature is larger than the first temperature value, the nose temperature is larger than the fourth temperature value, the cheek temperature is larger than the sixth temperature value, the corresponding output value is a neutral output value 0, and the temperature cold feeling state of the target user is neutral.

Therefore, the cheek temperature, nose temperature, eye temperature and forehead temperature of the target user are judged by utilizing the seven temperature judgment branches configured by the individual temperature cold sense decision tree model of the user, so that the temperature cold sense state of the target user can be precisely known, the air conditioner can conveniently adjust the current set temperature according to the temperature cold sense state of the user, the air outlet temperature of the air conditioner meets the individual comfort requirements of the user, and the individual and individual comfort control requirements of different users are realized in the mode, and the use comfort of the individual user is improved.

In some embodiments, if it is determined that the temperature and cold sensing state of the target user is colder, the current set temperature is increased, that is, when the controller of the air conditioner predicts that the temperature and cold sensing state of the user is colder through the user personal temperature and cold sensing decision tree model, the controller sends a heating signal to increase the preset temperature based on the stored current set temperature, for example, the preset temperature is 1 ℃, the current set temperature is 20 ℃, and the increased target temperature is 21 ℃; or, if it is determined that the temperature and cold sensing state of the target user is neutral, the current set temperature is maintained, that is, when the controller of the air conditioner predicts that the temperature and cold sensing state of the user is neutral through the user personal temperature and cold sensing decision tree model, a temperature maintaining signal is sent to keep the current set temperature unchanged, for example, the preset temperature is 1 ℃, the current set temperature is 20 ℃, and the target temperature is 20 ℃ in response to the temperature maintaining signal. Therefore, the current set temperature is adjusted in the mode, so that the air conditioner operates according to the adjusted target temperature, the aim of personalized thermal comfort control of a user is fulfilled, and the personalized comfort adjustment requirement of the target user is met.

In some embodiments, when the air conditioner is in a heating mode and the temperature and cold sensing state of the target user is determined to be colder by continuous preset times, the rotating speed of an indoor fan of the air conditioner is increased; or the air conditioner is in a refrigeration mode, and if the temperature and cold feeling state of the target user is determined to be colder by continuous preset times, the rotating speed of the indoor fan of the air conditioner is reduced. That is, when the user temperature and cold feeling states predicted by the continuous preset times of the air conditioner are consistent, the user individual cold and hot feeling is stronger, so that the user is subjected to personalized thermal comfort control by adjusting the rotating speed of the indoor fan, and the personalized comfort adjustment requirement of the target user is met.

It can be understood that if the temperature and cold feeling state of the target user is neutral after the continuous preset times, the current rotating speed of the indoor fan of the air conditioner is maintained.

In some embodiments, the controller of the air conditioner may periodically input the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into the user individual temperature cold sense decision tree model to obtain a preset number of output values output by the user individual temperature cold sense decision tree model, and perform statistics and classification on the preset number of output values, so as to take a temperature cold sense state corresponding to the output value in the classification with the largest output value as the temperature cold sense state of the target user. In this way, the temperature and cold sensing state of the target user is judged for a plurality of times, and the final temperature and cold sensing state of the target user is determined according to the prediction result obtained by each judgment, so that the accuracy of identifying the temperature and cold sensing state of the target user can be improved, and the use comfort of the target user can be improved.

That is, the air conditioner may collect the cheek temperature, the nose temperature, the eye temperature and the forehead temperature of the target user once every certain time, judge and store the cheek temperature, the nose temperature, the eye temperature and the forehead temperature collected each time until the collection times of the air conditioner reach the preset collection times, that is, the number of output values reaches the preset number, and further count the output values of the corresponding target temperature judgment branches obtained after the cheek temperature, the nose temperature, the eye temperature and the forehead temperature are judged each time, and take the temperature cold state corresponding to the output value with the largest number of the same output values in all the output values as the temperature cold state of the target user. For example, taking the case that the value "1" is used for indicating heat bias, the value "0" is used for indicating neutrality, the value "-1" is used for indicating cold bias, the air conditioner collects cheek temperature, nose temperature, eye temperature and forehead temperature of the target user five times, and output values obtained after judging the cheek temperature, nose temperature, eye temperature and forehead temperature collected each time are as follows in sequence: -1, 0, -1, wherein the number of output values of-1 is the largest, so that the partial coldness corresponding to the output value-1 is the warm-cold feeling state of the target user. Therefore, the cheek temperature, the nose temperature, the eye temperature and the forehead temperature of the target user are periodically judged to determine the temperature cold state of the target user, the problem of misjudgment can be avoided, and the accuracy of the air conditioner for identifying the temperature cold state of the target user is improved.

The time of each judgment period of the user's temperature and cold feeling state is based on the feedback time of the air conditioner.

The following describes an example of a control method of an air conditioner according to an embodiment of the present invention with reference to fig. 3 and 4, and the detailed steps are as follows.

Step S9, the air conditioner automatically operates.

And S10, carrying out temperature and coldness prediction on the individual user by utilizing the individual user temperature and coldness decision tree model.

Step S11, if the user temperature cold state is determined to be neutral, the current set temperature Tset is kept unchanged.

Step S12, if the temperature cold feeling state of the user is determined to be cold, the current set temperature is required to be increased; if the user temperature cold feeling state is determined to be hotter, the current set temperature needs to be reduced.

And S13, changing the current set temperature stored by the controller once according to the temperature cold sensing state of the user. If the temperature cold feeling state of the user is determined to be cold, controlling the current set temperature to be +1 ℃; and if the temperature cold sensing state of the user is determined to be hotter, controlling the current set temperature to be minus 1 ℃.

And S14, judging whether the Tset+3 is less than the target temperature and less than Tset-3. If not, the target temperature is not the temperature obtained by the air conditioner according to the automatic control of the user individual body temperature cold sense decision tree model, but the temperature which is changed by the user through the remote controller in a self-defining way, and the step S15 is executed in the case; if yes, go to step S16.

In step S15, the target temperature is the maximum value tset±3.

In step S16, the air conditioner calculates a target temperature according to the temperature sensing state of the individual user, i.e. the temperature after the current set temperature is changed in step S13.

In step S17, the air conditioner obtains the default relative humidity RHset according to the target temperature through a temperature and humidity comparison table, for example, as shown in table 1.

And S18, operating the refrigeration mode according to the target temperature and the default relative humidity corresponding to the target temperature.

Step S19, controlling the frequency of the compressor.

Step S20, the first time the cooling mode is entered.

And S21, judging whether the set temperature difference E is more than 3 ℃. The set temperature difference E is the absolute value of the difference between the indoor environment temperature and the target temperature. If yes, go to step S22; if not, step S23 is performed.

Step S22, the existing strong refrigeration mode is invoked to operate.

Step S23, operating in the normal mode.

And S24, controlling the rotating speed of the fan.

And S25, judging whether the set temperature difference E is more than 2 ℃. If yes, go to step S26; if not, step S28 is performed.

Step S26, operating at 1250rpm with ultrahigh wind. It should be noted that, after the first stroke in this mode, if E > 3 ℃ is detected for 5min, the ultra-high wind should be operated.

And S27, judging whether the set temperature difference E is less than or equal to 2 ℃. If yes, go to step S28; if not, step S26 is performed.

Step S28, running at 1000rpm of stroke.

And step S29, judging whether the four continuous periods-2 are less than or equal to delta R < 2. The indoor instantaneous sampling relative humidity is collected once every preset sampling period, for example, 5min, and Δr is the difference between the indoor instantaneous sampling relative humidity RHi in the current sampling period and the indoor instantaneous sampling relative humidity RH (i-1) in the previous sampling period, that is, Δr=rhi-RH (i-1). If yes, go to step S30; if not, step S28 is performed.

And step S30, judging whether delta RH is less than or equal to 6 and less than or equal to minus 6. The ΔRH is the difference between the indoor instantaneous sampling relative humidity RHI and the default relative humidity RHSet in the current sampling period. If yes, go to step S29; if not, step S31 is performed.

Step S31, judging whether delta RH > 6 is satisfied. If yes, go to step S32; if not, step S33 is performed.

Step S32, down-shifting the windshield with low wind speed by one gear.

And step S33, judging whether delta RH is less than 6. If yes, go to step S34.

Step S34, up-shifting the windshield with high wind speed.

Therefore, according to the invention, aiming at different thermal comfort demands of individual users of families, the artificial intelligence technology based on big data is utilized to establish the user individual temperature cold sense decision tree model, and the user temperature cold sense change rule is self-learned, so that the user individual thermal comfort demands are accurately identified, and when the method is applied to an air conditioner, the air conditioner can perform individual thermal comfort control according to the individual temperature cold sense state of a target user conveniently, and the individual different and individual comfort control demands 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 not only meets the comfort requirement of the general crowd, but also can realize the personalized comfort requirement of a single household user.

An embodiment of the second aspect of the present invention provides an air conditioner control device, as shown in fig. 5, the air conditioner control device 10 includes a temperature acquisition module 1, a temperature sensation state determination module 2, and an adjustment module 3.

The temperature acquisition module 1 is used for acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a target user; the temperature and coldness state determining module 2 is configured to input the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into a user individual temperature and coldness decision tree model to determine a temperature and coldness state of the target user, where the user individual temperature and coldness decision tree model is a decision tree model formed by taking a cheek temperature decision condition as a first layer temperature decision condition, a cheek temperature decision condition or a nose temperature decision condition as a second layer temperature decision condition, and a cheek temperature decision condition or a forehead temperature decision condition or an eye temperature decision condition as a third layer temperature decision condition; the adjusting module 3 is used for adjusting the current set temperature according to the temperature cold state of the target user.

It should be noted that, the specific implementation manner of the air conditioner control device 10 according to the embodiment of the present invention is similar to the specific implementation manner of the air conditioner control method according to any of the above embodiments of the present invention, and please refer to the description of the method section specifically, and in order to reduce redundancy, the description is omitted here.

According to the air conditioner control device 10 provided by the embodiment of the invention, the effect of individual temperature cold feeling of a user can be accurately identified by utilizing the individual temperature cold feeling decision tree model of the user, the cheek temperature, the nose temperature, the eye temperature and the forehead temperature of a target user are input into the individual temperature cold feeling decision tree model of the user through the temperature cold feeling state determining module 2, so that the thermal comfort requirement of the target user, namely the temperature cold feeling state, is known, the current set temperature is conveniently adjusted by the adjusting module 3 according to the individual temperature cold feeling state of the user, the air outlet temperature of the air conditioner is enabled to meet the individual comfort requirement of the user, and the individual comfort control requirements of different users are realized in the manner of improving the individual use comfort of the user.

An embodiment of a third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the air conditioner control method provided by the above embodiment.

An embodiment of a fourth aspect of the present invention provides an air conditioner, and an air conditioner according to an embodiment of the present invention is described below.

In one embodiment of the present invention, the air conditioner may include the air conditioner control device 10 provided in the above embodiment. That is, the air conditioner controls the temperature of the air outlet through the air conditioner control device 10, thereby realizing personalized thermal comfort control and meeting the personalized comfort adjustment requirement of the target user.

In this embodiment, the specific implementation manner of the air conditioner is similar to that of the air conditioner control device 10 according to any of the above embodiments of the present invention, and please refer to the description of the air conditioner control device 10 specifically, so that redundancy is reduced and no description is repeated here.

In another embodiment of the present invention, an air conditioner may include at least one processor and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by at least one processor, and the at least one processor implements the air conditioner control method provided in the above embodiment when executing the computer program.

In this embodiment, the specific implementation manner of the air conditioner is similar to that of the air conditioner control method according to any of the above embodiments of the present invention, and please refer to the description of the air conditioner control method section specifically, so that redundancy is reduced and no further description is given here.

According to the air conditioner provided by the embodiment of the invention, the effect of individual temperature and coldness of a user can be accurately identified by utilizing the individual temperature and coldness decision tree model of the user, and the cheek temperature, nose temperature, eye temperature and forehead temperature of a target user are input into the individual temperature and coldness decision tree model of the user so as to acquire the thermal comfort requirement of the target user, namely the temperature and coldness state, so that the air conditioner can conveniently adjust the current set temperature according to the temperature and coldness state of the user, the air outlet temperature of the air conditioner meets the individual comfort requirement of the user, the individual different and individual comfort control requirements of different users are realized in the mode, and the use comfort of the individual user is improved.

The fifth aspect of the present invention provides an air conditioner, as shown in fig. 6, the air conditioner 20 includes a compressor 4, an indoor heat exchanger 5, an outdoor heat exchanger 6, a four-way valve 7, a throttling element 8, a temperature collecting device 9, and a controller 11.

Wherein the temperature acquisition device 9 is used for acquiring ear temperature, cheek temperature, nose temperature and eye temperature of a user; the controller 11 is connected to the temperature acquisition device 9, and is used for adjusting the current set temperature according to the air conditioner control method provided in the above embodiment.

In this embodiment, the specific implementation manner of the controller 11 is similar to that of the air conditioner control method according to any of the above embodiments of the present invention, and please refer to the description of the air conditioner control method specifically, and for redundancy reduction, the description is omitted here.

According to the air conditioner 20 of the embodiment of the invention, the effect of individual temperature and coldness of a user can be identified by utilizing the individual temperature and coldness decision tree model of the user, and the cheek temperature, nose temperature, eye temperature and forehead temperature of a target user are input into the individual temperature and coldness decision tree model of the user through the controller 11, so that the thermal comfort requirement of the target user, namely the temperature and coldness state, is precisely known, the air conditioner 20 can conveniently adjust the current set temperature according to the temperature and coldness state of the user, the air outlet temperature of the air conditioner 20 meets the individual comfort requirement of the user, the individual different and individual comfort control requirements of different users are realized in the mode, and the use comfort of the individual user is improved.

Other constructions and operations of the air conditioner according to the embodiment of the present invention are known to those skilled in the art, and will not be described in detail herein.

The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the description of this specification, any process or method description in a flowchart or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing logical functions or steps of the process, and in which the scope of the preferred embodiments of the present invention include additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples.

While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. An air conditioner control method, comprising:

acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a target user;

inputting the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into a user individual temperature cold feeling decision tree model to determine a temperature cold feeling state of the target user, wherein the user individual temperature cold feeling decision tree model is a decision tree model formed by taking a cheek temperature decision condition as a first layer of temperature decision condition, a cheek temperature decision condition or a nose temperature decision condition as a second layer of temperature decision condition, and a cheek temperature decision condition or a forehead temperature decision condition or an eye temperature decision condition as a third layer of temperature decision condition;

adjusting the current set temperature according to the temperature cold sensing state of the target user;

wherein inputting the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature into a user individual temperature coldness decision tree model to determine a coldness state of the target user, comprising:

the user individual temperature cold sensing decision tree model is configured with a plurality of temperature decision branches, and each temperature decision branch is provided with the first layer temperature decision condition, the second layer temperature decision condition and the third layer temperature decision condition;

Comparing the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature to each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch;

obtaining an output value of the user individual temperature cold sense decision tree model corresponding to the target temperature judgment branch;

taking the temperature and cold sensing state corresponding to the output value as the temperature and cold sensing state of the target user;

comparing the cheek temperature, the nose temperature, the eye temperature and the forehead temperature with each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch, obtaining an output value of the user individual temperature cold decision tree model corresponding to the target temperature decision branch, and taking a temperature cold state corresponding to the output value as the temperature cold state of the target user, wherein the method comprises the following steps:

and determining that the cheek temperature is smaller than or equal to a first temperature value, further determining that the cheek temperature is smaller than or equal to a second temperature value, wherein the target temperature judging branch is a first temperature judging branch, obtaining that the output value of the user individual temperature cold sensation decision tree model corresponding to the first temperature judging branch is a neutral output value, and the temperature cold sensation state of the target user is neutral, and the second temperature value is smaller than the first temperature value.

2. The air conditioner control method according to claim 1, wherein the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature are compared with each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch, an output value of the user individual temperature cold decision tree model corresponding to the target temperature decision branch is obtained, and a temperature cold state corresponding to the output value is taken as the temperature cold state of the target user, further comprising:

determining that the cheek temperature is less than or equal to the first temperature value, and further determining that the cheek temperature is greater than the second temperature value;

if the eye temperature is smaller than or equal to the third temperature value, the target temperature judging branch is a second temperature judging branch, the output value of the second temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is obtained to be a cold output value, and the temperature cold feeling state of the target user is cold;

and if the eye temperature is more than the third temperature value, the target temperature judging branch is a third temperature judging branch, the output value of the user personal temperature cold feeling decision tree model corresponding to the third temperature judging branch is obtained to be a neutral output value, and the temperature cold feeling state of the target user is neutral.

3. The air conditioner control method according to claim 1, wherein the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature are compared with each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch, an output value of the user individual temperature cold decision tree model corresponding to the target temperature decision branch is obtained, and a temperature cold state corresponding to the output value is taken as the temperature cold state of the target user, further comprising:

determining that the cheek temperature is greater than the first temperature value, and further determining that the nose temperature is less than or equal to a fourth temperature value;

if the forehead temperature is smaller than or equal to the fifth temperature value, the target temperature judging branch is a fourth temperature judging branch, the output value of the fourth temperature judging branch corresponding to the user personal temperature cold feeling decision tree model is obtained to be a neutral output value, and the temperature cold feeling state of the target user is neutral;

if the forehead temperature is more than the fifth temperature value, the target temperature judging branch is a fifth temperature judging branch, the output value of the user personal temperature cold feeling decision tree model corresponding to the fifth temperature judging branch is obtained to be a neutral output value, and the temperature cold feeling state of the target user is neutral;

Wherein the fifth temperature value is greater than the first temperature value and less than the fourth temperature value.

4. The air conditioner control method according to claim 3, wherein the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature are compared with each layer of temperature decision conditions in a plurality of temperature decision branches to determine a target temperature decision branch, an output value of the user individual temperature cold decision tree model corresponding to the target temperature decision branch is obtained, and a temperature cold state corresponding to the output value is taken as the temperature cold state of the target user, further comprising:

determining that the cheek temperature is greater than the first temperature value, and further determining that the nose temperature is greater than a fourth temperature value;

if the cheek temperature is smaller than or equal to a sixth temperature value, the target temperature judging branch is a sixth temperature judging branch, the output value of the user individual temperature cold sensation decision tree model corresponding to the sixth temperature judging branch is obtained to be a neutral output value, and the temperature cold sensation state of the target user is neutral;

if the cheek temperature is more than the sixth temperature value, the target temperature judging branch is a seventh temperature judging branch, the output value of the seventh temperature judging branch corresponding to the user individual temperature cold sensation decision tree model is obtained to be a neutral output value, and the temperature cold sensation state of the target user is neutral;

Wherein the sixth temperature value is greater than the fourth temperature value.

5. The control method of an air conditioner according to any one of claims 1 to 4, wherein adjusting a current set temperature according to a temperature cold feeling state of the target user includes:

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

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

6. The air conditioner control method according to claim 5, further comprising at least one of:

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;

and when the air conditioner is in a refrigeration mode and the temperature and cold feeling state of the target user is determined to be colder by continuous preset times, the rotating speed of the indoor fan of the air conditioner is reduced.

7. The air conditioner control method according to claim 1, wherein inputting the cheek temperature, the nose temperature, the eye temperature, and the forehead temperature into a user individual temperature coldness decision tree model to determine a temperature coldness state of the target user, further comprising:

Periodically inputting the cheek temperature, the nose temperature, the eye temperature and the forehead temperature into the user individual temperature cold decision tree model to obtain a preset number of output values output by the user individual temperature cold decision tree model;

counting and classifying the preset number of output values;

and taking the temperature and cold sensing state corresponding to the output value in the classification with the largest output value as the temperature and cold sensing state of the target user.

8. An air conditioner is characterized in that,

the air conditioner includes:

at least one processor;

a memory communicatively coupled to the at least one processor;

wherein the memory stores a computer program executable by the at least one processor, the at least one processor implementing the air conditioner control method of any one of claims 1-7 when executing the computer program;

alternatively, the air conditioner includes:

the device comprises a compressor, an indoor heat exchanger, an outdoor heat exchanger, a four-way valve and a throttling element;

the temperature acquisition device is used for acquiring cheek temperature, nose temperature, eye temperature and forehead temperature of a user;

and the controller is connected with the temperature acquisition device and is used for adjusting the current set temperature according to the air conditioner control method of any one of claims 1-7.