Air conditioner control methods and air conditioners

Abstract

This invention discloses an air conditioner control method and an air conditioner. The air conditioner control method includes: acquiring the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of a target user, and inputting these temperatures into a user-specific temperature and coldness decision tree model to determine the target user's temperature and coldness state. The user-specific temperature and coldness decision tree model is a decision tree model consisting of cheek temperature as the first-level temperature decision condition, either nose temperature or cheek temperature as the second-level temperature decision condition, and either forehead temperature, eye temperature, or ear temperature as the third-level temperature decision condition. The method adjusts the currently set temperature according to the target user's temperature and coldness state. This air conditioner control method can adjust the air outlet temperature according to the user's individual temperature and coldness state, achieving personalized thermal comfort control and meeting the user's individual comfort needs.

Description

Technical Field

[0001] This invention relates to the field of air conditioner technology, and in particular to an air conditioner control method and an air conditioner. Background Technology

[0002] In related technologies, air conditioners typically regulate the air outlet temperature using a single temperature index. However, relying solely on a single temperature index cannot effectively adjust the indoor ambient temperature to a comfortable level for the human body, resulting in a poor user experience and failing to meet user comfort requirements. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. Therefore, one objective of this invention is to provide an air conditioner control method that can adjust the air outlet temperature according to the individual user's temperature and cooling sensation, thereby achieving individualized thermal comfort control and meeting the user's personalized comfort needs.

[0004] A first aspect of the present invention provides an air conditioner control method, comprising: acquiring the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of a target user; inputting the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into a user-specific temperature and cold sensation decision tree model to determine the temperature and cold sensation state of the target user, wherein the user-specific temperature and cold sensation decision tree model is a decision tree model composed of cheek temperature decision conditions as the first layer of temperature decision conditions, nose temperature decision conditions or cheek temperature decision conditions as the second layer of temperature decision conditions, and forehead temperature decision conditions or eye temperature decision conditions or ear temperature decision conditions as the third layer of temperature decision conditions; and adjusting the currently set temperature according to the temperature and cold sensation state of the target user.

[0005] According to the air conditioner control method of the present invention, the individual user temperature and coolness perception decision tree model can accurately identify the effect of individual user temperature and coolness perception. By inputting the obtained cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user into the individual user temperature and coolness perception decision tree model, the thermal comfort needs, i.e., temperature and coolness perception state of the target user, can be obtained. This allows the air conditioner to adjust the current set temperature according to the user's own temperature and coolness perception state, so that the air outlet temperature of the air conditioner meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different individual users can be achieved, thereby improving the user's individual comfort.

[0006] In some embodiments, inputting the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into a user-specific temperature and coldness decision tree model to determine the temperature and coldness state of the target user includes: configuring multiple temperature decision branches in the user-specific temperature and coldness decision tree model, each temperature decision branch having a first-level temperature decision condition, a second-level temperature decision condition, and a third-level temperature decision condition; comparing the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature with each level of temperature decision condition in the multiple temperature decision branches to determine a target temperature decision branch; obtaining the output value of the user-specific temperature and coldness decision tree model corresponding to the target temperature decision branch; and using the temperature and coldness state corresponding to the output value as the temperature and coldness state of the target user.

[0007] In some embodiments, the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are compared with the temperature decision conditions of each layer in a plurality of temperature decision branches to determine the target temperature decision branch, obtain the output value of the user's individual temperature and coldness decision tree model corresponding to the target temperature decision branch, and take the temperature and coldness state corresponding to the output value as the temperature and coldness state of the target user, including:

[0008] If the cheek temperature is determined to be less than or equal to a first temperature value, the nose temperature is determined to be less than or equal to a second temperature value, and the forehead temperature is determined to be less than or equal to a third temperature value, then the target temperature determination branch is the first temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the first temperature determination branch is a slightly cold output value, then the target user's temperature and coldness state is slightly cold. In this case, the first temperature value is less than the third temperature value, and the second temperature value is less than the first temperature value.

[0009] Alternatively, if it is determined that the cheek temperature is less than or equal to the first temperature value, further determined that the nose temperature is less than or equal to the second temperature value, and further determined that the forehead temperature is greater than the third temperature value, then the target temperature determination branch is the second temperature determination branch, and the output value of the second temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is a slightly cold output value, then the target user's temperature and coldness state is slightly cold.

[0010] Alternatively, if it is determined that the cheek temperature is less than or equal to the first temperature value, further determined that the nose temperature is greater than the second temperature value, and further determined that the eye temperature is less than or equal to the fourth temperature value, then the target temperature determination branch is the third temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the third temperature determination branch is a neutral output value, then the target user's temperature and coldness state is neutral, wherein the fourth temperature value is greater than the third temperature value.

[0011] Alternatively, if it is determined that the cheek temperature is less than or equal to the first temperature value, further determined that the nose temperature is greater than the second temperature value, and further determined that the eye temperature is greater than the fourth temperature value, then the target temperature determination branch is the fourth temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the fourth temperature determination branch is obtained as a neutral output value, then the target user's temperature and coldness state is neutral.

[0012] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is less than or equal to the fifth temperature value, and further determined that the ear temperature is less than or equal to the sixth temperature value, then the target temperature determination branch is the fifth temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the fifth temperature determination branch is a neutral output value, then the target user's temperature and coldness state is neutral. In this case, the fifth temperature value is greater than the fourth temperature value, and the sixth temperature value is greater than the second temperature value and less than the first temperature value.

[0013] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is less than or equal to the fifth temperature value, and further determined that the ear temperature is greater than the sixth temperature value, then the target temperature determination branch is the sixth temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the sixth temperature determination branch is a neutral output value, then the target user's temperature and coldness state is neutral.

[0014] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is greater than the fifth temperature value, and further determined that the forehead temperature is less than or equal to the seventh temperature value, then the target temperature determination branch is the seventh temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the seventh temperature determination branch is a neutral output value, then the target user's temperature and coldness state is neutral, wherein the seventh temperature value is greater than the fifth temperature value.

[0015] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is greater than the fifth temperature value, and further determined that the forehead temperature is greater than the seventh temperature value, then the target temperature determination branch is the eighth temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the eighth temperature determination branch is obtained as a neutral output value, then the target user's temperature and coldness state is neutral.

[0016] In some embodiments, adjusting the current set temperature according to the target user's temperature sensitivity includes: if the target user's temperature sensitivity is too cold, then increasing the current set temperature; or if the target user's temperature sensitivity is neutral, then maintaining the current set temperature.

[0017] In some embodiments, the air conditioner control method further includes: when the air conditioner is in heating mode, if the target user's temperature and cold perception state is determined to be too cold after a preset number of consecutive cycles, then increasing the indoor fan speed of the air conditioner; or, when the air conditioner is in cooling mode, if the target user's temperature and cold perception state is determined to be too cold after the preset number of consecutive cycles, then decreasing the indoor fan speed of the air conditioner.

[0018] In some embodiments, inputting the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness state further includes: periodically inputting the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model to obtain a preset number of output values ​​output by the user's individual temperature and coldness decision tree model; statistically analyzing and classifying the preset number of output values; and taking the temperature and coldness state corresponding to the output value in the category containing the most output values ​​as the target user's temperature and coldness state.

[0019] A second aspect of the present invention provides an air conditioner control device, comprising: a temperature acquisition module for acquiring the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of a target user; a temperature sensation determination module for inputting the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into a user-specific temperature sensation decision tree model to determine the temperature sensation state of the target user, wherein the user-specific temperature sensation decision tree model is a decision tree model composed of cheek temperature decision conditions as the first layer of temperature decision conditions, nose temperature decision conditions or cheek temperature decision conditions as the second layer of temperature decision conditions, and forehead temperature decision conditions or eye temperature decision conditions or ear temperature decision conditions as the third layer of temperature decision conditions; and an adjustment module for adjusting the currently set temperature according to the temperature sensation state of the target user.

[0020] According to the air conditioner control device of the present invention, the user's individual temperature and coolness perception decision tree model can accurately identify the effect of the user's individual temperature and coolness perception. The temperature and coolness perception state determination module inputs the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coolness perception decision tree model to obtain the target user's thermal comfort needs, i.e., temperature and coolness perception state. This allows the adjustment module to adjust the current set temperature according to the user's own temperature and coolness perception state, so that the air conditioner's outlet temperature meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different users are achieved, improving the user's individual comfort.

[0021] 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 described in the above embodiments.

[0022] A fourth aspect of the present invention provides an air conditioner, the air conditioner including the air conditioner control device described in the above embodiments; or, the air conditioner includes: at least one processor; a memory communicatively connected 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 described in the above embodiments when executing the computer program.

[0023] According to the embodiments of the present invention, the air conditioner can accurately identify the effect of individual user temperature and coolness by using a user-specific temperature and coolness decision tree model. By inputting the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user-specific temperature and coolness decision tree model, the thermal comfort needs, i.e., temperature and coolness status, of the target user can be obtained. This allows the air conditioner to adjust the current set temperature according to the user's own temperature and coolness status, so that the air outlet temperature of the air conditioner meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different individual users can be achieved, thereby improving the user's individual comfort.

[0024] A fifth aspect of the present invention provides an air conditioner, comprising: a compressor, an indoor heat exchanger, an outdoor heat exchanger, a four-way valve, and a throttling element; a temperature acquisition device for acquiring the user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature; and a controller connected to the temperature acquisition device for adjusting the current set temperature according to the air conditioner control method described in the above embodiments.

[0025] According to an embodiment of the present invention, the air conditioner can identify the effect of individual user temperature and coolness using a user-specific temperature and coolness decision tree model. The controller inputs the obtained cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user into the user-specific temperature and coolness decision tree model to accurately determine the target user's thermal comfort needs, i.e., temperature and coolness status. This allows the air conditioner to adjust the current set temperature according to the user's own temperature and coolness status, so that the air outlet temperature of the air conditioner meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different individual users are achieved, thereby improving the user's individual comfort.

[0026] 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. Attached Figure Description

[0027] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0028] Figure 1 This is a flowchart of an air conditioner control method according to an embodiment of the present invention;

[0029] Figure 2 This is a flowchart of an air conditioner control method according to another embodiment of the present invention;

[0030] Figure 3 This is a schematic diagram of a user-specific temperature / coldness decision tree model according to an embodiment of the present invention;

[0031] Figure 4 This is a flowchart of an air conditioner control method according to another embodiment of the present invention;

[0032] Figure 5 This is a structural diagram of an air conditioner control device according to an embodiment of the present invention;

[0033] Figure 6 This is a structural diagram of an air conditioner according to an embodiment of the present invention. Detailed Implementation

[0034] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention are described in detail below.

[0035] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0036] In this application, the air conditioner performs a refrigeration cycle by using a compressor, condenser, expansion valve, and evaporator. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to the conditioned and heat-exchanged air.

[0037] The compressor compresses refrigerant gas under high temperature and pressure and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and the heat is released to the surrounding environment through the condensation process.

[0038] The expansion valve expands the high-temperature, high-pressure liquid refrigerant condensed in the condenser into a low-pressure liquid refrigerant. The evaporator evaporates the expanded refrigerant in the expansion valve, returning the low-temperature, low-pressure refrigerant gas to the compressor. The evaporator achieves its cooling effect by utilizing the latent heat of refrigerant evaporation to exchange heat with the material being cooled. Throughout the cycle, the air conditioner regulates the temperature of the indoor space.

[0039] The outdoor unit of an air conditioner refers to the part of the refrigeration cycle that includes the compressor and the outdoor heat exchanger. The indoor unit of an air conditioner includes the indoor heat exchanger, and an expansion valve can be provided in either the indoor or outdoor unit.

[0040] The indoor and outdoor heat exchangers function as either condensers or evaporators. When the indoor heat exchanger is used as a condenser, the air conditioner functions as a heater in heating mode; when the indoor heat exchanger is used as an evaporator, the air conditioner functions as a cooler in cooling mode.

[0041] An air conditioner according to some embodiments of this application includes an indoor unit installed in an indoor space. The indoor unit, i.e., the aforementioned indoor unit, is connected via pipes to an outdoor unit, i.e., the aforementioned outdoor unit, installed in an outdoor space. The outdoor unit may include a compressor, an outdoor heat exchanger, an outdoor fan, an expander, and similar components for a refrigeration cycle; the indoor unit may also include an indoor heat exchanger and an indoor fan.

[0042] In related technologies, air conditioners are typically designed and controlled for comfort using a single temperature index, or by employing a single temperature index and a single humidity index. However, this method of adjusting air conditioners based solely on a single temperature and humidity index does not fully consider all factors affecting human thermal sensation, such as air temperature, relative humidity, wind speed, mean radiant temperature, intensity of human activity, and thermal resistance of clothing. Users who spend long periods in this air-conditioned indoor environment are highly susceptible to "air conditioning sickness." Therefore, adjusting based on a single temperature and humidity index is no longer sufficient to effectively meet people's technical requirements for comfort and health.

[0043] To address the aforementioned issues, a first aspect of this invention proposes an air conditioner control method that can adjust the air outlet temperature according to the individual user's temperature and cold sensation, thereby achieving individualized thermal comfort control and meeting the user's personalized comfort needs.

[0044] The air conditioner control method according to an embodiment of the present invention is described below with reference to the accompanying drawings, such as... Figure 1 As shown, the method includes at least steps S1-S3.

[0045] Step S1: Obtain the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature.

[0046] Since existing air conditioner control methods use average thermal sensation indices based on the general population as a reference, such as the PMV (Predicted Mean Vote) model used by air conditioners, which is a prediction model based on the average hot and cold sensations of most users in the same environment, the influence of individual user differences is weakened. Therefore, in order to meet the individualized and differentiated thermal comfort needs of users, this embodiment of the invention uses the detection of the user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature to determine the user's own thermal comfort needs. This allows the air conditioner to execute corresponding control strategies based on the user's individual thermal comfort needs, so as to carry out personalized thermal comfort control for the user and meet the user's personalized comfort needs.

[0047] In one embodiment, an infrared device, such as an infrared camera, can be installed on the air conditioner to collect the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user, and send the collected data to the controller of the air conditioner.

[0048] Step S2: Input the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness status. The user's individual temperature and coldness decision tree model is a decision tree model consisting of cheek temperature decision condition as the first layer of temperature decision condition, nose temperature decision condition or cheek temperature decision condition as the second layer of temperature decision condition, and forehead temperature decision condition or eye temperature decision condition or ear temperature decision condition as the third layer of temperature decision condition.

[0049] In this embodiment, to address the different thermal comfort needs of individual household users, this invention utilizes big data-based artificial intelligence technology to learn the patterns of user temperature and cold sensation changes, thereby establishing a user-specific temperature and cold sensation decision tree model. This model aims to accurately identify the individual user's thermal comfort needs. When applied to an air conditioner, the air conditioner can determine the individual user's thermal comfort needs based on the model and perform personalized thermal comfort control, thus meeting the differentiated and personalized comfort control requirements of different users.

[0050] Among them, a decision tree model for individual user temperature and cold sensation is established based on big data artificial intelligence technology. The modeling process is as follows.

[0051] 1) Data Acquisition. Compared to the physically meaningful PMV model, AI technology based on big data is more accurate in predicting human thermal sensation than conventional physical models. Its accuracy largely depends on the amount of data used for training. Therefore, in practical applications, as the amount of data increases, the accuracy of the established model also improves. To enable the air conditioner to accurately identify the user's temperature and comfort status, data acquisition includes collecting environmental parameters under various conditions and collecting body surface data from different individuals. The various environments refer to multiple environments in different regions, seasons, and weather conditions. Environmental parameters include indoor temperature, relative humidity, wind speed, and clothing thermal resistance. The different individuals are sampled from different age groups, genders, and ethnicities, reflecting varying physical characteristics. Body surface data includes skin temperature, thermal sensation, and metabolic rate from multiple body parts. Based on this collected data, a large database for model training is established to utilize AI technology to learn the patterns of user temperature and comfort changes, thereby improving the accuracy of identifying individual user thermal comfort needs when applied to air conditioners.

[0052] 2) Model Training. A decision tree prediction model for temperature and coldness sensation is constructed using skin temperature data from different parts of the human body. This model is then used to screen and optimize the model based on environmental parameters from various environments, as well as parameters such as human thermal sensation and metabolic rate. Ideally, the skin temperature-based decision tree prediction model can be fully automated, learning the patterns of user temperature and coldness changes without requiring manual parameter adjustment, thus improving modeling efficiency.

[0053] 3) Model Generation. During the construction of the decision tree model, there are parameters, namely hyperparameters, that cannot be directly optimized by the algorithm. Human intervention is required to adjust the hyperparameters and select the output of the optimal temperature and coldness decision tree prediction model. The optimal temperature and coldness decision tree prediction model is the required individual temperature and coldness decision tree model for the user.

[0054] 4) Make predictions. Test the optimal temperature and coldness decision tree prediction model and obtain the model accuracy to determine the generalization degree of the optimal temperature and coldness decision tree prediction model.

[0055] Therefore, based on collected parameters such as skin temperature, human thermal sensation, indoor ambient temperature, relative humidity, wind speed, metabolic rate, and clothing thermal resistance, a large database for model training is formed through the above methods. Artificial intelligence technology is then used to learn the patterns of user temperature and cold sensation changes, ultimately establishing a user-specific temperature and cold sensation decision tree model that can accurately identify individual user thermal comfort needs. Thus, when applying this user-specific temperature and cold sensation decision tree model to an air conditioner, unlike the predictive comfort mode applied to multiple users within the air conditioner, the method of this embodiment can directly identify and predict the temperature and cold sensation of an individual user by utilizing the user-specific temperature and cold sensation decision tree model. This allows for accurate understanding of the user's own thermal comfort needs, i.e., temperature and cold sensation state. Furthermore, based on the prediction results for that user, a corresponding control strategy is generated to facilitate adjusting the indoor ambient temperature to the individual user's comfort temperature, achieving the user's optimal comfort state and meeting the differentiated and personalized comfort adjustment needs of individual family users.

[0056] Furthermore, unlike using only a single temperature index as a reference for air conditioner comfort control, this embodiment of the invention comprehensively considers human physiological state parameters under different environments when establishing a user's individual temperature and coldness decision tree model. For example, it considers various factors that affect human thermal sensation, such as air temperature, relative humidity, wind speed, mean radiant temperature, intensity of human activity, and thermal resistance of clothing, to debug and optimize the temperature and coldness decision tree prediction model. Therefore, when applying this user's individual temperature and coldness decision tree model to an air conditioner, the model is used to determine the user's temperature and coldness state, thereby adjusting the air conditioner's outlet temperature, which can effectively meet the user's individual requirements for comfort and health.

[0057] The "temperature sensation" can be understood as the user's perception of temperature. This sensation can be categorized in various ways based on actual conditions, without limitation. For example, it can be classified as slightly cold, neutral, or slightly warm based on predicted thermal sensation. The more categories of temperature sensation, the more accurate the identification of an individual user's temperature sensation, and the better the individual user's comfort level.

[0058] In this embodiment, a user's individual experience encompasses multiple skin areas. Utilizing artificial intelligence technology and based on big data, through continuous debugging and optimization, a user-specific temperature and coldness decision tree model is ultimately established using skin areas representing human body temperature and coldness characteristics and their corresponding temperature decision conditions. Specifically, temperature decision conditions at representative skin areas—cheek, nose, forehead, eyes, and ears—are used as different layers of temperature decision conditions. This user-specific temperature and coldness decision tree model can accurately determine the user's thermal comfort needs, i.e., their temperature and coldness state. Furthermore, when applied to an air conditioner, the controller inputs the collected cheek, nose, forehead, eye, and ear temperatures of the target user into the user-specific temperature and coldness decision tree model. After determining the temperature decision conditions at each layer, the target user's temperature and coldness state can be determined.

[0059] Specifically, the air conditioner's controller pre-stores a user's individual temperature and coldness decision tree model. When a single user is present in the indoor space, the air conditioner's controller inputs the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model. The user's individual temperature and coldness decision tree model identifies and predicts the user's individual temperature and coldness to accurately determine the user's thermal comfort needs, i.e., temperature and coldness status. This allows the air conditioner to generate corresponding control strategies based on the user's individual temperature and coldness status to meet the user's personalized comfort needs.

[0060] Step S3: Adjust the current set temperature according to the target user's temperature sensitivity.

[0061] The current set temperature is the temperature stored in the air conditioner's controller. For example, the current set temperature can be the temperature stored by the air conditioner's controller after processing the user-set temperature and environmental load parameters using an algorithm; or, when the air conditioner is running in TMS (Thermal and Humidity Management System) comfort control mode, the current set temperature can be the target temperature of the current operating comfort stage stored by the air conditioner's controller. The TMS comfort control mode includes an initial comfort stage, a stable comfort stage, and a healthy comfort stage set sequentially over time. Different comfort stages correspond to different target temperatures, and when the air conditioner is running in a certain comfort stage, the controller will store the target temperature of the current operating comfort stage.

[0062] In this embodiment, after determining the target user's temperature and coolness perception status, the air conditioner can generate a corresponding control strategy based on the user's temperature and coolness perception status to adjust the current set temperature, thereby adjusting the indoor ambient temperature to the user's individual comfort temperature, achieving the user's optimal comfort state, and meeting the user's personalized comfort requirements.

[0063] It is understood that, to meet users' personalized comfort needs, the method of this embodiment of the invention is applicable to situations where a single user exists in an indoor space. This user, as the target user, has their individual thermal comfort needs identified by collecting temperature data from their cheek, nose, forehead, eyes, and ears. In other words, when a single user is present in the indoor space, the infrared device on the air conditioner can automatically collect the user's cheek, nose, forehead, eye, and ear temperatures and operate according to the control methods provided in steps S1-S3 of this embodiment of the invention, thereby meeting the user's personalized comfort needs. When multiple users are present in the indoor space, the air conditioner automatically operates in a normal control method, such as the TMS comfort control mode, thereby meeting the comfort needs of each user. Therefore, through the above methods, the air conditioner can meet both the personalized comfort needs of individual household users and the comfort requirements of the general population, improving user comfort.

[0064] For example, with Figure 2 For example, the overall control steps of an air conditioner are as follows.

[0065] Step S4: The air conditioner operates in TMS comfort control mode.

[0066] Step S5: The air conditioner collects the indoor ambient temperature and indoor relative humidity.

[0067] Step S6: The air conditioner operates the user's personalized comfort control mode, which uses the user's individual temperature and coldness decision tree model to identify the user's individual temperature and coldness status.

[0068] Step S7: When there are multiple users in the indoor space, calculate the target temperature and target humidity based on the indoor ambient temperature and relative humidity, and control the operation of the air conditioner with the target temperature and target humidity to meet the comfort needs of each user; the air conditioner stores a temperature and humidity reference table, such as shown in Table 1, that is, there is a corresponding default relative humidity for different temperatures. When there is a single user in the indoor space, adjust the current set temperature based on the target user's cheek temperature, nose temperature, forehead temperature, eye temperature and ear temperature to calculate the target temperature, and obtain the target humidity corresponding to the target temperature, and control the operation of the air conditioner with the target temperature and target humidity to make the indoor environment meet the user's personalized comfort needs.

[0069] Step S8: The air conditioner automatically operates based on the target temperature and target humidity.

[0070] Table 1

[0071] Temperature / °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％

[0072] According to the air conditioner control method of the present invention, the individual user temperature and coolness perception decision tree model can accurately identify the effect of individual user temperature and coolness perception. By inputting the obtained cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user into the individual user temperature and coolness perception decision tree model, the thermal comfort needs, i.e., temperature and coolness perception state of the target user, can be obtained. This allows the air conditioner to adjust the current set temperature according to the user's own temperature and coolness perception state, so that the air outlet temperature of the air conditioner meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different individual users can be achieved, thereby improving the user's individual comfort.

[0073] In some embodiments, the user's individual temperature and coldness decision tree model is configured with multiple temperature decision branches. Each temperature decision branch has a first-level temperature decision condition, a second-level temperature decision condition, and a third-level temperature decision condition. By comparing cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature with each level of temperature decision condition in the multiple temperature decision branches, a target temperature decision branch is determined, and the output value of the target temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained. The temperature and coldness state corresponding to the output value is taken as the target user's temperature and coldness state. In this way, the user's individual temperature and coldness decision tree model is used to identify and predict the temperature and coldness of the target user, so as to accurately know the target user's temperature and coldness state, thereby facilitating the air conditioner to generate corresponding strategies based on the temperature and coldness state to meet the target user's personalized comfort needs.

[0074] To facilitate storage and recording in the air conditioner, different temperature and cooling sensation states are represented by different values ​​when the air conditioner is preset with its program. For example, when the temperature and cooling sensation states include slightly cold, neutral, and slightly warm, the value "1" can be set to represent slightly warm, "0" to represent neutral, and "-1" to represent slightly cold. Alternatively, other values ​​can be used to represent different temperature and cooling sensation states without restriction. In this way, after determining the target temperature judgment branch that the acquired cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user satisfy, the temperature and cooling sensation state of the target user can be determined based on the output value of the target temperature judgment branch. For example, if the output value of the target temperature judgment branch is 0, it means that the temperature and cooling sensation state of the target user is neutral.

[0075] Specifically, the user's individual temperature and coldness decision tree model contains multiple temperature decision branches, each with multiple layers of temperature decision conditions. Each layer of temperature decision conditions represents a possible decision outcome. During the traversal of the user's individual temperature and coldness decision tree model from start to finish, a judgment is performed at each layer of temperature decision conditions. The different judgment results for each layer of temperature decision conditions lead to different temperature decision branches, eventually reaching the endpoint of a certain temperature decision branch. The endpoint of each temperature decision branch corresponds to a temperature and coldness state; that is, each temperature decision branch performs an independent temperature and coldness judgment. Based on this, when the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are input, the multiple temperature decision branches of the user's individual temperature and coldness decision tree model are used to judge the temperature of the above input model to determine the temperature decision branch to which the input model's temperature belongs. This temperature decision branch is the target temperature decision branch. Based on the output value of the target temperature decision branch, the target user's temperature and coldness state can be accurately determined, thus facilitating the subsequent generation of corresponding strategies by the air conditioner to meet the target user's comfort needs.

[0076] The following explains how to input the obtained cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user into the user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness status. The user's individual temperature and coldness decision tree model is configured with eight temperature decision branches based on the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature. The decision process is as follows.

[0077] Specifically, if the cheek temperature is determined to be less than or equal to a first temperature value, the nose temperature is determined to be less than or equal to a second temperature value, and the forehead temperature is determined to be less than or equal to a third temperature value, then the target temperature determination branch is the first temperature determination branch. If the output value of the first temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is a slightly cold output value, then the target user's temperature and coldness state is slightly cold. In this case, the first temperature value is less than the third temperature value, and the second temperature value is less than the first temperature value.

[0078] Alternatively, if the cheek temperature is determined to be less than or equal to a first temperature value, the nose temperature is determined to be less than or equal to a second temperature value, and the forehead temperature is determined to be greater than a third temperature value, then the target temperature determination branch is the second temperature determination branch. If the output value of the second temperature determination branch of the user's individual temperature and coldness decision tree model is a slightly cold output value, then the target user's temperature and coldness state is slightly cold.

[0079] Alternatively, if the cheek temperature is determined to be less than or equal to the first temperature value, the nose temperature is determined to be greater than the second temperature value, and the eye temperature is determined to be less than or equal to the fourth temperature value, then the target temperature determination branch is the third temperature determination branch. If the output value of the third temperature determination branch of the user's individual temperature and coldness decision tree model is a neutral output value, then the target user's temperature and coldness state is neutral, where the fourth temperature value is greater than the third temperature value.

[0080] Alternatively, if the cheek temperature is determined to be less than or equal to the first temperature value, the nose temperature is determined to be greater than the second temperature value, and the eye temperature is determined to be greater than the fourth temperature value, then the target temperature determination branch is the fourth temperature determination branch. If the output value of the fourth temperature determination branch of the user's individual temperature and coldness decision tree model is obtained as a neutral output value, then the target user's temperature and coldness state is neutral.

[0081] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is less than or equal to the fifth temperature value, and further determined that the ear temperature is less than or equal to the sixth temperature value, then the target temperature determination branch is the fifth temperature determination branch. If the output value of the fifth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value, then the target user's temperature and coldness state is neutral. In this case, the fifth temperature value is greater than the fourth temperature value, and the sixth temperature value is greater than the second temperature value and less than the first temperature value.

[0082] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is less than or equal to the fifth temperature value, and further determined that the ear temperature is greater than the sixth temperature value, then the target temperature determination branch is the sixth temperature determination branch. If the output value of the sixth temperature determination branch of the user's individual temperature and coldness decision tree model is a neutral output value, then the target user's temperature and coldness state is neutral.

[0083] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is greater than the fifth temperature value, and further determined that the forehead temperature is less than or equal to the seventh temperature value, then the target temperature determination branch is the seventh temperature determination branch. If the output value of the seventh temperature determination branch of the user's individual temperature and coldness decision tree model is a neutral output value, then the target user's temperature and coldness state is neutral, where the seventh temperature value is greater than the fifth temperature value.

[0084] Alternatively, if it is determined that the cheek temperature is greater than the first temperature value, further determined that the cheek temperature is greater than the fifth temperature value, and further determined that the forehead temperature is greater than the seventh temperature value, then the target temperature determination branch is the eighth temperature determination branch. If the output value of the eighth temperature determination branch of the user's individual temperature and coldness decision tree model is a neutral output value, then the target user's temperature and coldness state is neutral.

[0085] Specifically, Figure 3 As shown, the user's individual temperature and coldness decision tree model, which was established using artificial intelligence technology and based on big data through continuous debugging and optimization, is as follows, where the value "1" represents slightly warm, the value "0" represents neutral, and the value "-1" represents slightly cold.

[0086] First temperature determination branch: cheek temperature ≤ first temperature value, nose temperature ≤ second temperature value, forehead temperature ≤ third temperature value, the corresponding output value is cold output value -1, then the target user's temperature sensation state is cold.

[0087] The second temperature determination branch: cheek temperature ≤ first temperature value, nose temperature ≤ second temperature value, forehead temperature > third temperature value, the corresponding output value is cold output value -1, then the target user's temperature sensation state is cold.

[0088] The third temperature determination branch: cheek temperature ≤ first temperature value, nose temperature > second temperature value, eye temperature ≤ fourth temperature value, the corresponding output value is neutral output value 0, then the target user's temperature sensation state is neutral.

[0089] Fourth temperature determination branch: cheek temperature ≤ first temperature value, nose temperature > second temperature value, eye temperature > fourth temperature value, the corresponding output value is neutral output value 0, then the target user's temperature sensation state is neutral.

[0090] Fifth temperature determination branch: if cheek temperature > first temperature value, cheek temperature ≤ fifth temperature value, ear temperature ≤ sixth temperature value, the corresponding output value is neutral output value 0, then the target user's temperature sensation state is neutral.

[0091] The sixth temperature determination branch: if cheek temperature > first temperature value, cheek temperature ≤ fifth temperature value, and ear temperature > sixth temperature value, the corresponding output value is a neutral output value of 0, then the target user's temperature sensation is neutral.

[0092] The seventh temperature determination branch: if cheek temperature > first temperature value, cheek temperature > fifth temperature value, and forehead temperature ≤ seventh temperature value, the corresponding output value is a neutral output value of 0, then the target user's temperature sensation is neutral.

[0093] The eighth temperature determination branch: if cheek temperature > first temperature value, cheek temperature > fifth temperature value, and forehead temperature > seventh temperature value, the corresponding output value is a neutral output value of 0, then the target user's temperature sensation is neutral.

[0094] It should be noted that each of the first to seventh temperature values ​​mentioned in the above user-specific temperature and coldness decision tree model was obtained after continuous debugging and optimization based on big data artificial intelligence technology. Therefore, by using the above temperature values ​​to judge the temperature and coldness status of the target user, the user-specific temperature and coldness decision tree model can accurately know the target user's thermal comfort needs, which facilitates personalized thermal comfort control of the air conditioner and meets the personalized comfort adjustment needs of the target user.

[0095] Therefore, by utilizing the eight temperature decision branches configured in the user's individual temperature and coldness decision tree model to determine the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature, the target user's temperature and coldness status can be accurately determined. This allows the air conditioner to adjust the current set temperature according to the user's individual temperature and coldness status, ensuring that the air conditioner's outlet temperature meets the user's personalized comfort needs. This method achieves differentiated and personalized comfort control requirements for different individual users, improving the user's individual comfort.

[0096] In some embodiments, if the target user's perceived temperature is too cold, the current set temperature is increased. That is, when the air conditioner's controller predicts, based on the user's individual temperature perception decision tree model, that the user's perceived temperature is too cold, a heating signal is sent to increase the preset temperature based on the stored current set temperature. For example, if the preset temperature is 1°C and the current set temperature is 20°C, the increased target temperature is 21°C. Alternatively, if the target user's perceived temperature is neutral, the current set temperature is maintained. That is, when the air conditioner's controller predicts, based on the user's individual temperature perception decision tree model, that the user's perceived temperature is neutral, a temperature maintenance signal is sent to keep the current set temperature unchanged. For example, if the preset temperature is 1°C and the current set temperature is 20°C, in response to the temperature maintenance signal, the target temperature is the current set temperature of 20°C. Thus, by adjusting the current set temperature in the above manner, the air conditioner operates according to the adjusted target temperature, achieving the purpose of personalized thermal comfort control for the user and meeting the target user's personalized comfort adjustment needs.

[0097] In some embodiments, if the air conditioner is in heating mode and the target user's perceived temperature is determined to be too cold after a preset number of cycles, the indoor fan speed is increased. Alternatively, if the air conditioner is in cooling mode and the target user's perceived temperature is determined to be too cold after a preset number of cycles, the indoor fan speed is decreased. In other words, if the air conditioner consistently predicts the user's perceived temperature for a given user after a preset number of cycles, it indicates that the user has a strong sensitivity to heat or cold. Therefore, by adjusting the indoor fan speed, personalized thermal comfort control is achieved to meet the target user's individual comfort adjustment needs.

[0098] Understandably, if the target user's temperature and cooling sensation are determined to be neutral after a series of preset times, the current indoor fan speed of the air conditioner will be maintained.

[0099] In some embodiments, the air conditioner controller can periodically input cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into a user-specific temperature and coldness decision tree model to obtain a preset number of output values ​​from the model. These preset number of output values ​​are then statistically analyzed and categorized. The temperature and coldness state corresponding to the output value in the category containing the most output values ​​is taken as the target user's temperature and coldness state. This method, by repeatedly judging the target user's temperature and coldness state and determining the final state based on the prediction results obtained from each judgment, improves the accuracy of temperature and coldness state identification and enhances user comfort.

[0100] In other words, the air conditioner can collect the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature at regular intervals. It then inputs each collected cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model for judgment and storage, until the air conditioner collects data a preset number of times, i.e., the number of output values ​​reaches a preset quantity. Subsequently, it statistically analyzes the output values ​​of the corresponding target temperature judgment branches obtained after judging each collected cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature, and takes the temperature and coldness state corresponding to the output value with the most identical output values ​​as the target user's temperature and coldness state. For example, using a value of "1" to represent slightly warm, "0" to represent neutral, and "-1" to represent slightly cold, the air conditioner collects the target user's cheek, nose, forehead, eye, and ear temperatures five times. The output values ​​obtained after judging each temperature reading are -1, 1, 0, -1, and -1, respectively. The output value of -1 is the most frequent. Therefore, the slightly cold feeling corresponding to the output value -1 is the target user's perceived temperature state. Thus, by periodically judging the target user's individual temperature to determine their perceived temperature state, misjudgment can be avoided, improving the accuracy of the air conditioner's identification of the target user's perceived temperature state.

[0101] It should be noted that the time interval for judging the user's temperature or coolness status is based on the air conditioner's feedback time.

[0102] The following is for reference. Figure 3 and Figure 4 The air conditioner control method of this invention is illustrated by example, and the detailed steps are as follows.

[0103] Step S9: The air conditioner starts automatically.

[0104] Step S10: Use the individual user's temperature and coldness decision tree model to predict the individual user's temperature and coldness.

[0105] Step S11: If the user's temperature sensation is determined to be neutral, then the current set temperature Tset remains unchanged.

[0106] Step S12: If it is determined that the user's temperature sensation is too cold, the current set temperature needs to be increased; if it is determined that the user's temperature sensation is too hot, the current set temperature needs to be decreased.

[0107] Step S13: Modify the current set temperature stored in the controller based on the user's perceived temperature. Specifically, if the user's perceived temperature is too cold, increase the current set temperature by 1°C; if the user's perceived temperature is too hot, decrease the current set temperature by 1°C.

[0108] Step S14: Determine whether Tset+3 < target temperature < Tset-3. If not, it means that the target temperature is not automatically controlled by the air conditioner based on the user's individual temperature and coldness decision tree model, but is a temperature customized by the user through the remote control. In this case, proceed to step S15; if yes, proceed to step S16.

[0109] Step S15, the target temperature is the maximum value Tset ± 3.

[0110] In step S16, the air conditioner calculates the target temperature based on the user's individual temperature perception, which is the temperature after the current set temperature has been changed in step S13.

[0111] Step S17: The air conditioner obtains the default relative humidity RHset based on the target temperature using a temperature and humidity comparison table, such as Table 1.

[0112] Step S18: Run the cooling mode according to the target temperature and the default relative humidity corresponding to the target temperature.

[0113] Step S19, compressor frequency control.

[0114] Step S20: Enter cooling mode for the first time.

[0115] Step S21: Determine whether the set temperature difference E > 3℃ is met. Here, the set temperature difference E is the absolute value of the difference between the indoor ambient temperature and the target temperature. If yes, proceed to step S22; otherwise, proceed to step S23.

[0116] Step S22: Activate the existing powerful cooling mode.

[0117] Step S23, run in normal mode.

[0118] Step S24, fan speed control.

[0119] Step S25: Determine whether the set temperature difference E > 2℃ is met. If yes, proceed to step S26; otherwise, proceed to step S28.

[0120] Step S26: Run at ultra-high 1250 rpm. It should be noted that after entering medium gust mode for the first time, if the detected temperature E > 3℃ and lasts for 5 minutes, ultra-high gust mode must be used.

[0121] Step S27: Determine whether the set temperature difference E ≤ 2℃ is met. If yes, proceed to step S28; otherwise, proceed to step S26.

[0122] Step S28, run at 1000 rpm for stroke.

[0123] Step S29: Determine whether the condition satisfies -2 ≤ ΔR < 2 for four consecutive periods. Here, indoor instantaneous relative humidity is sampled once every preset sampling period, such as 5 minutes. ΔR is the difference between the indoor instantaneous relative humidity RHi in the current sampling period and the indoor instantaneous relative humidity RH(i-1) in the previous sampling period, i.e., ΔR = RHi - RH(i-1). If yes, proceed to step S30; otherwise, proceed to step S28.

[0124] Step S30: Determine whether -6 ≤ ΔRH < 6. Here, ΔRH is the difference between the instantaneous indoor relative humidity RHi and the default relative humidity RHset for the current sampling period. If yes, proceed to step S29; otherwise, proceed to step S31.

[0125] Step S31: Determine whether ΔRH > 6. If yes, proceed to step S32; otherwise, proceed to step S33.

[0126] Step S32: Lower the wind speed setting by one level.

[0127] Step S33: Determine whether ΔRH < 6. If yes, proceed to step S34.

[0128] Step S34: Adjust the windshield to the higher wind speed setting by one level.

[0129] Therefore, through the above steps, this invention addresses the different thermal comfort needs of individual household users by utilizing big data-based artificial intelligence technology to establish a user-specific temperature and cold sensation decision tree model. This model learns the patterns of temperature and cold sensation changes and accurately identifies the individual user's thermal comfort needs. Consequently, when applied to air conditioners, it facilitates personalized thermal comfort control based on the temperature and cold sensation status of the target user, meeting the differentiated and personalized comfort control requirements of different users. Furthermore, it compensates for the shortcomings of PMV predictive comfort models based on the general population, which weaken individual differences. This allows the air conditioner to not only meet the comfort needs of the general population but also fulfill the personalized comfort needs of individual household users.

[0130] A second aspect of the present invention provides an air conditioner control device, such as... Figure 5 As shown, the air conditioner control device 10 includes a temperature acquisition module 1, a temperature / cold sensation state determination module 2, and an adjustment module 3.

[0131] The temperature acquisition module 1 is used to acquire the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user; the temperature and coldness status determination module 2 is used to input the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness status. The user's individual temperature and coldness decision tree model is a decision tree model composed of cheek temperature decision conditions as the first layer of temperature decision conditions, nose temperature decision conditions or cheek temperature decision conditions as the second layer of temperature decision conditions, and forehead temperature decision conditions or eye temperature decision conditions or ear temperature decision conditions as the third layer of temperature decision conditions; the adjustment module 3 is used to adjust the currently set temperature according to the target user's temperature and coldness status.

[0132] It should be noted that the specific implementation of the air conditioner control device 10 in this embodiment of the invention is similar to the specific implementation of the air conditioner control method in any of the above embodiments of the invention. For details, please refer to the description of the method section. To reduce redundancy, it will not be repeated here.

[0133] According to the embodiment of the present invention, the air conditioner control device 10 can accurately identify the effect of individual user temperature and coolness by using a user individual temperature and coolness decision tree model. The temperature and coolness state determination module 2 inputs the target user's cheek temperature, nose temperature, forehead temperature, eye temperature and ear temperature into the user individual temperature and coolness decision tree model to obtain the target user's thermal comfort needs, i.e., temperature and coolness state. This makes it easier for the adjustment module 3 to adjust the current set temperature according to the user's own temperature and coolness state, so that the air conditioner's air outlet temperature meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different users are achieved, improving the user's individual comfort.

[0134] 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 in the above embodiments.

[0135] A fourth aspect of the present invention provides an air conditioner, and the air conditioner of the present invention embodiment is described below.

[0136] In one embodiment of the present invention, the air conditioner may include the air conditioner control device 10 provided in the above embodiments. That is, the air conditioner controls the outlet air temperature through the air conditioner control device 10, thereby realizing personalized thermal comfort control and meeting the personalized comfort adjustment needs of the target user.

[0137] In this embodiment, the specific implementation of the air conditioner is similar to that of the air conditioner control device 10 in any of the above embodiments of the present invention. For details, please refer to the description of the air conditioner control device 10. To reduce redundancy, it will not be repeated here.

[0138] In another embodiment of the present invention, the air conditioner may include at least one processor and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, which, when executing the computer program, implements the air conditioner control method provided in the above embodiments.

[0139] In this embodiment, the specific implementation of the air conditioner is similar to the specific implementation of the air conditioner control method in any of the above embodiments of the present invention. For details, please refer to the description of the air conditioner control method section. To reduce redundancy, it will not be repeated here.

[0140] According to the embodiments of the present invention, the air conditioner can accurately identify the effect of individual user temperature and coolness by using a user-specific temperature and coolness decision tree model. By inputting the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user-specific temperature and coolness decision tree model, the thermal comfort needs, i.e., temperature and coolness status, of the target user can be obtained. This allows the air conditioner to adjust the current set temperature according to the user's own temperature and coolness status, so that the air outlet temperature of the air conditioner meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different individual users can be achieved, thereby improving the user's individual comfort.

[0141] A fifth aspect of the present invention provides an air conditioner, such as... Figure 6 As shown, 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 acquisition device 9, and a controller 11.

[0142] The temperature acquisition device 9 is used to collect the user's cheek temperature, nose temperature, forehead temperature, eye temperature and ear temperature; the controller 11 is connected to the temperature acquisition device 9 and is used to adjust the current set temperature according to the air conditioner control method provided in the above embodiment.

[0143] In this embodiment, the specific implementation of the controller is similar to that of the air conditioner control method in any of the above embodiments of the present invention. For details, please refer to the description of the air conditioner control method section. To reduce redundancy, it will not be repeated here.

[0144] According to an embodiment of the present invention, the air conditioner 20 can identify the effect of individual user temperature and coolness using a user-specific temperature and coolness decision tree model. The controller 11 inputs the obtained cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature of the target user into the user-specific temperature and coolness decision tree model to accurately determine the thermal comfort needs, i.e., temperature and coolness status, of the target user. This allows the air conditioner 20 to adjust the current set temperature according to the user's own temperature and coolness status, so that the air outlet temperature of the air conditioner 20 meets the user's personalized comfort needs. In this way, differentiated and personalized comfort control requirements for different users are achieved, thereby improving the user's individual comfort.

[0145] Other configurations and operations of the air conditioner according to embodiments of the present invention are known to those skilled in the art and will not be described in detail here.

[0146] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0147] In the description of this specification, any process or method described in the flowcharts or otherwise herein may be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0148] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0149] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0150] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0151] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0152] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

[0153] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0154] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. An air conditioner control method, characterized in that, include: Obtain the target user's cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature; The cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are input into the user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness status. The user's individual temperature and coldness decision tree model is a decision tree model consisting of cheek temperature decision conditions as the first layer of temperature decision conditions, nose temperature decision conditions or cheek temperature decision conditions as the second layer of temperature decision conditions, and forehead temperature decision conditions or eye temperature decision conditions or ear temperature decision conditions as the third layer of temperature decision conditions. Adjust the current set temperature according to the target user's temperature sensitivity; Specifically, the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are input into a user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness status, including: The user's individual temperature and coldness decision tree model is configured with multiple temperature decision branches, and each temperature decision branch is set with a first-level temperature decision condition, a second-level temperature decision condition and a third-level temperature decision condition. The cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are compared with the temperature decision conditions in each of the multiple temperature decision branches to determine the target temperature decision branch. Obtain the output value of the target temperature determination branch corresponding to the user's individual temperature and coldness decision tree model; The temperature / coolness state corresponding to the output value is taken as the temperature / coolness state of the target user. Specifically, the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are compared with the temperature decision conditions of each layer in multiple temperature determination branches to determine the target temperature determination branch. The output value of the user's individual temperature perception decision tree model corresponding to the target temperature determination branch is obtained, and the temperature perception state corresponding to the output value is taken as the temperature perception state of the target user. The cheek temperature is determined to be less than or equal to a first temperature value, and the nose temperature is further determined to be less than or equal to a second temperature value; If it is further determined that the forehead temperature is less than or equal to the third temperature value, then the target temperature determination branch is the first temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the first temperature determination branch is a slightly cold output value, then the target user's temperature and coldness state is slightly cold. If it is further determined that the forehead temperature is greater than the third temperature value, then the target temperature determination branch is the second temperature determination branch. If the output value of the second temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a cold output value, then the target user's temperature and coldness state is cold. Wherein, the first temperature value is less than the third temperature value, and the second temperature value is less than the first temperature value.

2. The air conditioner control method according to claim 1, characterized in that, The cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are compared with the temperature decision conditions of each layer in multiple temperature determination branches to determine the target temperature determination branch. The output value of the user's individual temperature perception decision tree model corresponding to the target temperature determination branch is obtained, and the temperature perception state corresponding to the output value is taken as the temperature perception state of the target user. The method also includes: It is determined that the cheek temperature is less than or equal to the first temperature value, and further determined that the nose temperature is greater than the second temperature value; If it is further determined that the eye temperature is less than or equal to the fourth temperature value, then the target temperature determination branch is the third temperature determination branch. If the output value of the third temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is a neutral output value, then the temperature and coldness state of the target user is neutral. If it is further determined that the eye temperature is greater than the fourth temperature value, then the target temperature determination branch is the fourth temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the fourth temperature determination branch is a neutral output value, then the temperature and coldness state of the target user is neutral. The fourth temperature value is greater than the third temperature value.

3. The air conditioner control method according to claim 2, characterized in that, The cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are compared with the temperature decision conditions of each layer in multiple temperature determination branches to determine the target temperature determination branch. The output value of the user's individual temperature perception decision tree model corresponding to the target temperature determination branch is obtained, and the temperature perception state corresponding to the output value is taken as the temperature perception state of the target user. The method also includes: It is determined that the cheek temperature is greater than the first temperature value, and further determined that the cheek temperature is less than or equal to the fifth temperature value; If it is further determined that the ear temperature is less than or equal to the sixth temperature value, then the target temperature determination branch is the fifth temperature determination branch. If the output value of the fifth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is a neutral output value, then the target user's temperature and coldness state is neutral. If it is further determined that the ear temperature is greater than the sixth temperature value, then the target temperature determination branch is the sixth temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the sixth temperature determination branch is a neutral output value, then the temperature and coldness state of the target user is neutral. The fifth temperature value is greater than the fourth temperature value, and the sixth temperature value is greater than the second temperature value and less than the first temperature value.

4. The air conditioner control method according to claim 3, characterized in that, The cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are compared with the temperature decision conditions of each layer in multiple temperature determination branches to determine the target temperature determination branch. The output value of the user's individual temperature perception decision tree model corresponding to the target temperature determination branch is obtained, and the temperature perception state corresponding to the output value is taken as the temperature perception state of the target user. The method also includes: It is determined that the cheek temperature is greater than the first temperature value, and further determined that the cheek temperature is greater than the fifth temperature value; If it is further determined that the forehead temperature is less than or equal to the seventh temperature value, then the target temperature determination branch is the seventh temperature determination branch. If the output value of the user's individual temperature and coldness decision tree model corresponding to the seventh temperature determination branch is a neutral output value, then the temperature and coldness state of the target user is neutral. If it is further determined that the forehead temperature is greater than the seventh temperature value, then the target temperature determination branch is the eighth temperature determination branch. If the output value of the eighth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is a neutral output value, then the target user's temperature and coldness state is neutral. The seventh temperature value is greater than the fifth temperature value.

5. The air conditioner control method according to any one of claims 1-4, characterized in that, Adjusting the current set temperature based on the target user's temperature sensitivity includes: If the target user's perceived temperature is determined to be on the colder side, then the current set temperature is increased. If the target user's temperature sensitivity is determined to be neutral, then the current set temperature is maintained.

6. The air conditioner control method according to claim 5, characterized in that, The air conditioner control method further includes at least one of the following: If the air conditioner is in heating mode and the target user's temperature and cooling sensation is determined to be too cold after a preset number of cycles, the indoor fan speed of the air conditioner will be increased. If the air conditioner is in cooling mode and the target user's temperature and coolness sensation is determined to be too cold after the preset number of cycles, the indoor fan speed of the air conditioner will be reduced.

7. The air conditioner control method according to claim 1, characterized in that, The process of inputting the cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature into the user's individual temperature and coldness decision tree model to determine the target user's temperature and coldness status also includes: The cheek temperature, nose temperature, forehead temperature, eye temperature, and ear temperature are periodically input into the user's individual temperature and coldness decision tree model to obtain a preset number of output values ​​from the user's individual temperature and coldness decision tree model. The preset number of output values ​​are statistically analyzed and categorized. The temperature / coolness state corresponding to the output value in the category containing the most output values ​​is taken as the temperature / coolness state of the target user.

8. An air conditioner, characterized in that, The air conditioner includes: At least one processor; A memory that is communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and when the at least one processor executes the computer program, it implements the air conditioner control method according to any one of claims 1-7; Alternatively, the air conditioner may include: Compressor, indoor heat exchanger, outdoor heat exchanger, four-way valve and throttling element; Temperature acquisition device used to collect the user's cheek temperature, nose temperature, forehead temperature, eye temperature and ear temperature; A controller, connected to the temperature acquisition device, is used to adjust the current set temperature according to the air conditioner control method according to any one of claims 1-7.

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