Air conditioner and control method thereof
By using a temperature and coldness decision tree model built with big data and artificial intelligence in air conditioners, combined with facial and indoor ambient temperatures, the operating parameters of the air conditioner are adjusted. This solves the problem that air conditioners cannot meet the individual differences in user control, realizes personalized temperature control, and improves user comfort by addressing the inability of air conditioners to meet the different and personalized thermal comfort needs of various users.
Patent Information
- Application Number
- CN202411046890.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-31
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2044-07-31
AI Technical Summary
Existing air conditioners cannot meet the diverse and personalized thermal comfort needs of different users in terms of temperature and humidity control, thus failing to effectively satisfy users' individual comfort requirements.
By employing a user-specific temperature and coolness decision tree model built on big data and artificial intelligence technologies, and by detecting facial temperature and indoor ambient temperature, combined with a multi-layered decision condition set, the operating parameters of the air conditioner are adjusted to meet the individual user's temperature and coolness requirements, thereby achieving personalized temperature control.
It improves the comfort of air conditioners, enabling them to accurately identify and adjust the temperature according to the individual needs of different users, thus meeting their personalized and differentiated thermal comfort requirements.
Smart Images

Figure CN120043197B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present disclosure relates to the technical field of air conditioners, and in particular to an air conditioner and a control method of the air conditioner. BACKGROUND
[0002] Air conditioners are widely used in people's lives, and air conditioners play an important role in indoor temperature regulation, which can provide a healthy and comfortable indoor environment for users to meet the needs of normal work, life and study.
[0003] Currently, the comfort is usually designed by setting a single temperature index, or a single temperature index and a single humidity index are specified to design the comfort, so as to meet the comfort needs of most groups.
[0004] However, due to the difference in individual comfort needs, a single temperature and a single humidity index cannot effectively meet the requirements of people on comfort, and cannot meet the differentiated and personalized thermal comfort control requirements of different users. SUMMARY
[0005] The present disclosure aims to at least solve one of the technical problems existing in the prior art. To this end, one object of the present disclosure is to provide an air conditioner which can meet the differentiated and personalized thermal comfort needs of different users.
[0006] Another object of the present disclosure is to provide a control method of the air conditioner.
[0007] To achieve the above object, the air conditioner of the first aspect of the present disclosure comprises: a human body temperature detection device for detecting the face temperature of a target user; an indoor temperature detection device for detecting the indoor environment temperature; a controller connected with the human body temperature detection device and the indoor temperature detection device, the controller being configured to: input the face temperature and the indoor environment temperature into a user individual temperature cold and warm sensation decision tree model, determine the temperature cold and warm sensation state of the target user according to the output value of the user individual temperature cold and warm sensation decision tree model, adjust the current set target temperature according to the temperature cold and warm sensation state, and control the air conditioner to operate according to the adjusted target temperature, wherein the user individual temperature cold and warm sensation decision tree model is configured with at least six layers of temperature decision condition sets, and the at least six layers of temperature decision condition sets constitute a plurality of temperature judgment branches, wherein the first layer of temperature decision condition set comprises a decision condition based on the face temperature, the second layer of temperature decision condition set comprises a decision condition based on the face temperature and the indoor environment temperature, the third layer of temperature decision condition set comprises a decision condition based on two face temperatures and two indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on five face temperatures and three indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on seven face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on eleven face temperatures and nine indoor environment temperatures.
[0008] The control method of the air conditioner of the second aspect embodiment of the present disclosure comprises: receiving the face temperature of a target user and the indoor environment temperature; inputting the face temperature and the indoor environment temperature into a user individual temperature and cold sensation decision tree model, determining the temperature and cold sensation state of the target user according to the output value of the user individual temperature and cold sensation decision tree model, adjusting the current set target temperature according to the temperature and cold sensation state, and controlling the air conditioner to operate according to the adjusted target temperature, wherein at least six layers of temperature decision condition sets are configured in the user individual temperature and cold sensation decision tree model, and the at least six layers of temperature decision condition sets constitute a plurality of temperature judgment branches, wherein the first layer of temperature decision condition set comprises a decision condition based on the face temperature, the second layer of temperature decision condition set comprises a decision condition based on the face temperature and the indoor environment temperature, the third layer of temperature decision condition set comprises a decision condition based on two face temperatures and two indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on five face temperatures and three indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on seven face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on eleven face temperatures and nine indoor environment temperatures; the temperature and cold sensation state of the target user is determined according to the output value of the user individual temperature and cold sensation decision tree model; the current set target temperature is adjusted according to the temperature and cold sensation state, and the air conditioner is controlled to operate according to the adjusted target temperature.
[0009] The air conditioner and the control method thereof of the embodiment of the present disclosure can compensate for the deficiency that the PMV (Predicted Mean Vote) predicted comfort model based on the general population weakens individual differences by adjusting the target temperature based on the user individual temperature and cold sensation decision tree model established based on big data and artificial intelligence technology, and not only considers that the face temperature of the user individual can experience the current temperature and cold sensation of the user, but also considers that the indoor environment temperature also affects the temperature and cold sensation experience of the user, so the air conditioner inputs the face temperature and the indoor environment temperature into the user individual temperature and cold sensation decision tree model, thereby meeting the temperature and cold sensation comfort of the target user individual, improving the individualization and differentiation needs of the user individual, and improving the comfort of the air conditioner.
[0010] Additional aspects and advantages of the present disclosure will be described in the following description, some of which will be apparent from the following description, or will be learned by practice of the present disclosure. BRIEF DESCRIPTION OF DRAWINGS
[0011] One or more embodiments are illustrated by way of example in the accompanying drawings, which are not intended to limit the embodiments and in which like references numbers refer to similar elements, the drawings are not to scale, and in which:
[0012] Figure 1 is a schematic diagram of a refrigeration cycle system of an air conditioner according to an embodiment of the present disclosure;
[0013] Figure 2 is a block diagram of an air conditioner according to an embodiment of the present disclosure;
[0014] Figure 3 is a flowchart of modeling of a user individual temperature and cold feeling decision tree model based on big data artificial intelligence technology according to an embodiment of the present disclosure;
[0015] Figure 4 is a schematic diagram of partial configuration of a user individual temperature and cold feeling decision tree model according to an embodiment of the present disclosure;
[0016] Figure 5 is a schematic diagram of partial configuration of a user individual temperature and cold feeling decision tree model according to another embodiment of the present disclosure;
[0017] Figure 6 is a schematic diagram of partial configuration of a user individual temperature and cold feeling decision tree model according to still another embodiment of the present disclosure;
[0018] Figure 7 is a schematic diagram of partial configuration of a user individual temperature and cold feeling decision tree model according to still another embodiment of the present disclosure;
[0019] Figure 8 is a flowchart of overall operation logic of air conditioner comfort control according to an embodiment of the present disclosure;
[0020] Figure 9 is a flowchart of running a user individual comfort mode according to an embodiment of the present disclosure;
[0021] Figure 10 is a schematic diagram of an addressing process in a refrigeration mode according to an embodiment of the present disclosure;
[0022] Figure 11 is a schematic diagram of an addressing process in a heating mode according to an embodiment of the present disclosure;
[0023] Figure 12 is a flowchart of a control method of a TMS comfort mode according to an embodiment of the present disclosure;
[0024] Figure 13 is a schematic diagram of a humidity change curve according to an embodiment of the present disclosure;
[0025] Figure 14 is an indoor fan comfort control method when an air conditioner operation mode is a refrigeration mode according to an embodiment of the present disclosure. DETAILED DESCRIPTION
[0026] In order to enable a more detailed understanding of the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure is described in detail below with reference to the accompanying drawings, which are for reference only and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, a plurality of details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be simplified to facilitate the drawings. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present disclosure.
[0027] The air conditioner in the present disclosure performs a refrigeration cycle of the air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to the air that has been adjusted and heat-exchanged. As shown in FIG. 1, a schematic diagram of a refrigeration cycle system of an air conditioner according to an embodiment of the present disclosure. Figure 1
[0028] The compressor compresses 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.
[0029] 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 can achieve a refrigeration effect by heat-exchanging with a material to be cooled using latent heat of evaporation of the refrigerant. Throughout the cycle, the air conditioner can adjust the temperature of the indoor space.
[0030] The outdoor unit of the air conditioner refers to the part of the refrigeration cycle including the compressor and the outdoor heat exchanger, the indoor unit of the air conditioner includes the indoor heat exchanger, and the expansion valve can be provided in the indoor unit or the outdoor unit.
[0031] The indoor heat exchanger and the outdoor heat exchanger are used as a condenser or an evaporator. When the indoor heat exchanger is used as a condenser, the air conditioner is used as a heater in a heating mode, and when the indoor heat exchanger is used as an evaporator, the air conditioner is used as a cooler in a cooling mode.
[0032] In order to improve the individual comfort of users, the embodiments of the present disclosure improve the performance of the air conditioner, and propose an air conditioner and a control method thereof, which can meet the comfort needs of different individual users.
[0033] Reference will now be made to the following detailed description of the embodiments of the present disclosure with reference to the accompanying drawings. Figures 2-14 An air conditioner according to an embodiment of the present disclosure is described.
[0034] like Figure 2 The diagram shown is a block diagram of an air conditioner according to an embodiment of the present disclosure. The air conditioner 1 of this embodiment includes a human body temperature detection device 10, an indoor temperature detection device 20, and a controller 30. It also includes other air conditioner system components, such as... Figure 1 The refrigerant circulation system shown.
[0035] The human body temperature detection device 10 is used to detect the facial temperature of the target user. In this embodiment, the human body temperature detection device 10 may employ an infrared detection device, such as an infrared camera, to collect the temperature of the exposed parts of the target user, such as facial temperature.
[0036] The indoor temperature detection device 20 is used to detect the indoor ambient temperature. Specifically, a temperature sensor can be installed on the indoor unit casing to collect the indoor air temperature, i.e., the indoor ambient temperature, or a temperature sensor can be installed in other locations indoors, or an auxiliary device such as an intelligent robot can be used to detect the indoor ambient temperature and send the collected indoor ambient temperature data to the air conditioner controller 30.
[0037] The controller 30 is connected to the human body temperature detection device 10 and the indoor temperature detection device 20. The controller 30 can pre-store the user's individual temperature and coldness decision tree model. This model is pre-trained, generated, detected and stored in the controller 30. The controller 30 can retrieve the model at any time when making relevant decisions.
[0038] In a specific embodiment, facial temperature includes forehead temperature, eye temperature, nose temperature, and cheek temperature; the controller is configured to record the forehead temperature, eye temperature, nose temperature, and cheek temperature of the target user within a preset time period, calculate the average forehead temperature, average eye temperature, average nose temperature, and average cheek temperature within the preset time period, and perform a weighted calculation on the average forehead temperature, average eye temperature, average nose temperature, and average cheek temperature to obtain the average facial temperature, wherein the weight of the average forehead temperature is greater than the weight of the average eye temperature, which is greater than the weight of the average nose temperature, which is greater than the weight of the average cheek temperature.
[0039] The following is an explanation of the individual user's temperature and coldness decision tree model.
[0040] In the embodiments of the present disclosure, the user individual temperature and cold sensation decision tree model is a user individual temperature and cold sensation decision tree temperature and cold sensation prediction and identification model established based on human physiological parameters and environmental parameters through big data artificial intelligence technology for different thermal comfort needs of individual users, which self-learns the user individual temperature and cold sensation change rule, accurately identifies the user individual thermal comfort needs, performs personalized thermal comfort control, and meets the differentiated and personalized thermal comfort control requirements of different user individuals.
[0041] As shown in FIG. 1, it is a modeling process of establishing a user individual temperature and cold sensation decision tree model based on big data artificial intelligence technology according to an embodiment of the present disclosure. Figure 3
[0042] Specifically, first, data collection is performed. The training data and testing can be collected in a laboratory through infrared equipment, for example, the skin temperature such as the facial temperature of different people including the elderly, children, men, women, etc. in different seasons is collected. It can be understood that different people in different seasons can reflect different human thermal sensations, metabolic rates, clothing thermal resistances, and environmental states, etc.
[0043] Secondly, model training is performed. The training data model is filtered and debugged and optimized. Specifically, the training data is input into the initial model, and then the initial model is debugged and optimized according to the model output result, so that the model output data can be closer to the real situation.
[0044] Thirdly, the model is generated. Specifically, the optimal model output of the training is selected.
[0045] Finally, the model is predicted. The model predicts the test data to obtain the model accuracy. For example, in the embodiments of the present disclosure, the accuracy of the user individual temperature and cold sensation decision tree model can reach more than 80%.
[0046] In the embodiments, the user individual temperature and cold sensation decision tree model meeting the expectations can be stored in the storage unit of the controller 30 of the air conditioner 1 in advance. The user individual temperature and cold sensation decision tree model of the embodiments of the present disclosure is configured with at least six layers of temperature decision condition sets, and the at least six layers of temperature decision condition sets constitute a plurality of temperature determination branches. The first layer of temperature decision condition set includes a decision condition based on facial temperature, the second layer of temperature decision condition set includes a decision condition based on facial temperature and indoor environment temperature, the third layer of temperature decision condition set includes a decision condition based on two facial temperatures and two indoor environment temperatures, the fourth layer of temperature decision condition set includes a decision condition based on five facial temperatures and three indoor environment temperatures, the fifth layer of temperature decision condition set includes a decision condition based on seven facial temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set includes a decision condition based on eleven facial temperatures and nine indoor environment temperatures. For example,Figures 4-7 respectively are schematic diagrams of parts of a user individual thermal sensation decision tree model according to an embodiment of the present disclosure, the model morphology is similar to a tree, the left branch represents the judgment as true, the right branch represents the judgment as false, a series of judgments are performed each time until there is no longer a branch, and the final result is output. In some embodiments, the user individual thermal sensation decision tree model can include at least six layers of temperature decision condition sets and forty-eight temperature judgment branches composed of the at least six layers of temperature decision condition sets, each temperature judgment branch can have the same or different temperature decision conditions. Wherein each branch of the model performs an independent thermal sensation judgment, each temperature judgment branch can output a corresponding thermal sensation prediction result, and the final value of the thermal sensation judgment is the output value of the user individual thermal sensation decision tree model, which can be -1 (cold), 0 (neutral), and 1 (hot). Therefore, the current thermal sensation state of the user can be determined according to the output value of the user individual thermal sensation decision tree model.
[0047] It can be understood that, Figures 4-7 The user individual thermal sensation decision tree model shown is only an example of a model of an embodiment of the present disclosure, and other suitable decision tree models that meet expectations can also be used based on the results of model training optimization and testing.
[0048] Further, in an embodiment of the present disclosure, not only the facial temperature of the user individual can reflect the current thermal sensation of the user, but also the indoor environment temperature can also affect the thermal sensation experience of the user. Therefore, the facial temperature and the indoor environment temperature are input into the user individual thermal sensation decision tree model, the thermal sensation state of the target user is determined according to the output value of the user individual thermal sensation decision tree model, the current set target temperature is adjusted according to the thermal sensation state, and the air conditioner is controlled to operate according to the adjusted target temperature, so as to meet the thermal sensation comfort requirement of the target user individual, improve the individualization and differentiation requirement of the user individual, and improve the comfort of the air conditioner.
[0049] Wherein, the current set target temperature can be the temperature set by the user through the control terminal of the air conditioner, such as a remote controller, a wire controller, or an air conditioner APP loaded on a mobile intelligent device when the user starts the user individual comfort mode, which is not specifically limited here.
[0050] The air conditioner 1 of an embodiment of the present disclosure adjusts the target temperature by using the user individual thermal sensation decision tree model established based on big data and artificial intelligence technology, which can make up for the deficiency of the PMV prediction comfort model based on the general population that weakens the individual difference, so that the air conditioner 1 not only meets the comfort requirement of the general population, but also can realize the individual comfort requirement of a single family user.
[0051] Specifically, when the air conditioner 1 runs the user individual comfort mode, for example, when there is only one person in the room, the human body temperature detection device 10 collects the face temperature of the target user in real time, the indoor temperature detection device 20 collects the indoor environment temperature in real time, the controller 30 receives the temperature data, and calls the user individual temperature cold and hot feeling decision tree model, compares the face temperature and the indoor environment temperature with each layer of temperature decision condition in the multiple temperature decision branches of the user individual temperature cold and hot feeling decision tree model to determine the target temperature decision branch, wherein each temperature decision branch in the model is independently executed, obtains the output value of the target temperature decision branch of the user individual temperature cold and hot feeling decision tree model, and takes the temperature cold and hot feeling state corresponding to the output value as the temperature cold and hot feeling state of the target user, for example, the output value is -1, which represents that the user is cold; the output value is 0, which represents that the user is neither cold nor hot, i.e., neutral state; and the output value is 1, which represents that the user is hot. Then, the target temperature is adjusted according to the current temperature cold and hot feeling state of the user, and the compressor frequency, fan speed, air guide bar direction, etc. of the air conditioner are adjusted according to the adjusted target temperature, so that the user comfort can be improved and the user individual comfort demand can be met.
[0052] The process of identifying the temperature cold and hot feeling state of the user by the controller 30 will be described below with reference to the user individual temperature cold and hot feeling decision tree model shown in Figures 4-7 .
[0053] After the user enables the user individual comfort model, the controller 30 obtains the face temperature represented by T 面部 and the indoor environment temperature represented by T 室内 , and inputs T 面部 and T 室内 into the tree model of the user individual temperature cold and hot feeling decision tree model, for example, Figures 4-7 , compares the temperature values with the temperature decision conditions in the model, each temperature decision branch is independently executed until the output value of the model is obtained, and the current temperature cold and hot feeling state of the user is determined based on the output value.
[0054] As shown in Figures 4-7 , each temperature decision branch is described, wherein the user individual temperature cold and hot feeling decision tree model of the embodiment of the present disclosure identifies the face temperature as the first layer of temperature decision condition, the face temperature and the indoor environment temperature as the second layer of temperature decision condition, and continues to different branches with different temperature decision conditions. In the embodiment, in the user individual temperature cold and hot feeling decision tree model, the face temperature and the indoor environment temperature have different temperatures in different decision conditions, for example, the threshold value of each decision condition of the face temperature is a value between 31.42°C and 37.33°C, and the threshold value of each decision condition of the indoor environment temperature is a value between 16.35°C and 30.95°C.
[0055] In some embodiments, as shown in Figure 4As shown, controller 30 is configured to: determine whether the facial temperature meets T 面部 ≤T 面部设定1 If T is not satisfied 面部 ≤T 面部设定1 Then proceed to step ①, see details below. Figure 6 As shown. If T is satisfied... 面部 ≤T 面部设定1 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定1 If T is satisfied 室内 ≤T 室内设定1 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定2 , among which, T 面部设定2 <T 面部设定1 If T is not satisfied 室内 ≤T 室内设定1 Then proceed to step ②, see details below. Figure 5 As shown. If T is satisfied... 面部 ≤T 面部设定2 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定3 , among which, T 面部设定3 <T 面部设定1 If T is satisfied 面部 ≤T 面部设定3 If the target temperature determination branch is determined as the first temperature determination branch, and the output value of the first temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value (e.g., -1), then the target user's temperature and coldness state is "cold". That is, if the user currently feels the temperature is too low, the currently set target temperature is increased to improve the user's perceived temperature and increase comfort.
[0056] If T is not satisfied 面部 ≤T 面部设定3 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定2 , among which, T 室内设定2 <T 室内设定1 If T is satisfied 室内 ≤T 室内设定2 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定3 , among which, T 室内设定3 <T 室内设定2 If T is satisfied 室内 ≤T 室内设定3If the target temperature determination branch is determined as the second temperature determination branch, and the output value of the second temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value (e.g., -1), then the target user's temperature and coldness state is "cold". That is, if the user currently feels the temperature is too low, the currently set target temperature is increased to improve the user's perceived temperature and increase comfort.
[0057] If T is not satisfied 室内 ≤T 室内设定3 If the target temperature determination branch is determined to be the third temperature determination branch, the output value of the third temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value, for example, -1. In this case, the target user's temperature and coldness state is "cold". That is, if the user currently feels that the temperature is too low, the current set target temperature is increased to improve the user's perceived temperature and increase comfort.
[0058] If T is not satisfied 室内 ≤T 室内设定2 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定4 , among which, T 面部设定3 <T 面部设定4 If T is satisfied 面部 ≤T 面部设定4 If the target temperature determination branch is determined to be the fourth temperature determination branch, and the output value of the fourth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., the output is 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0059] If T is not satisfied 面部 ≤T 面部设定4 If the target temperature determination branch is determined to be the fifth temperature determination branch, 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 "cold" output value, for example, -1. In this case, the target user's temperature and coldness state is "cold". That is, if the user currently feels that the temperature is too low, the current target temperature is increased to improve the user's perceived temperature and increase comfort.
[0060] In some embodiments, such as Figure 4 As shown, controller 30 is also configured to: if T is not satisfied 面部 ≤T 面部设定2 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定5 , among which, T 面部设定2 <T 面部设定5 If T is satisfied 面部 ≤T 面部设定5 Then, it is further determined whether the indoor ambient temperature T is met.室内 ≤ T 室内设定4 , wherein T 室内设定2 < T 室内设定4 ; if T 室内 ≤ T 室内设定4 , it is further determined whether the facial temperature T 面部 ≤ T 面部设定6 , wherein T 面部设定6 < T 面部设定5 ; if T 面部 ≤ T 面部设定6 , it is determined that the target temperature determination branch is a sixth temperature determination branch, and an output value of the user individual temperature and thermal sensation decision tree model corresponding to the sixth temperature determination branch is a cold bias output value, for example, output is -1, and the target user's temperature and thermal sensation state is cold bias. That is, the user currently feels that the temperature is too low, and the current set target temperature is increased to improve the user's body temperature and improve comfort.
[0061] If T 面部 ≤ T 面部设定6 , it is determined that the target temperature determination branch is a seventh temperature determination branch, and an output value of the user individual temperature and thermal sensation decision tree model corresponding to the seventh temperature determination branch is a neutral output value, for example, output is 0, and the target user's temperature and thermal sensation state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user's individual comfort demand.
[0062] If T 室内 ≤ T 室内设定4 , it is further determined whether the facial temperature T 面部 ≤ T 面部设定7 , wherein T 面部设定7 < T 面部设定6 ; if T 面部 ≤ T 面部设定7 , it is determined that the target temperature determination branch is an eighth temperature determination branch, and an output value of the user individual temperature and thermal sensation decision tree model corresponding to the eighth temperature determination branch is a cold bias output value, for example, output is -1, and the target user's temperature and thermal sensation state is cold bias. That is, the user currently feels that the temperature is too low, and the current set target temperature is increased to improve the user's body temperature and improve comfort.
[0063] If T 面部 ≤ T 面部设定7 , it is determined that the target temperature determination branch is a ninth temperature determination branch, and an output value of the user individual temperature and thermal sensation decision tree model corresponding to the ninth temperature determination branch is a neutral output value, for example, output is 0, and the target user's temperature and thermal sensation state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user's individual comfort demand.
[0064] In some embodiments, such as Figure 4 As shown, controller 30 is also configured to: if T is not satisfied 面部 ≤T 面部设定5 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定8 , among which, T 面部设定5 <T 面部设定8 If T is satisfied 面部 ≤T 面部设定8 If the target temperature determination branch is determined to be the tenth temperature determination branch, the output value of the tenth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value, for example, -1. In this case, the target user's temperature and coldness state is "cold". That is, if the user currently feels that the temperature is too low, the current set target temperature is increased to improve the user's perceived temperature and increase comfort.
[0065] If T is not satisfied 面部 ≤T 面部设定8 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定9 , among which, T 面部设定8 <T 面部设定9 If T is satisfied 面部 ≤T 面部设定9 If the target temperature determination branch is determined to be the eleventh temperature determination branch, and the output value of the corresponding eleventh temperature determination branch of the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., the output is 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0066] If T is not satisfied 面部 ≤T 面部设定9 If the target temperature decision branch is determined to be the twelfth temperature decision branch, and the output value of the corresponding twelfth temperature decision branch of the user's individual temperature and coldness decision tree model is obtained as a "cold" output value, for example, -1, then the target user's temperature and coldness state is "cold". That is, if the user currently feels that the temperature is too low, the current set target temperature will be increased to improve the user's perceived temperature and increase comfort.
[0067] In some embodiments, such as Figure 5 As shown, controller 30 is also configured to: if T is not satisfied 室内 ≤T 室内设定1 Then proceed with step ②, which specifically includes: determining whether the facial temperature T is met. 面部 ≤T 面部设定10 , among which, T 面部设定10 <T 面部设定1 If T is satisfied 面部 ≤T 面部设定10, further determine whether the indoor environment temperature T satisfies T 室内 ≤T 室内设定5 , wherein T 室内设定1 <T 室内设定5 ; if T 室内 ≤T 室内设定5 , further determine whether the face temperature T satisfies T 面部 ≤T 面部设定11 , wherein T 面部设定11 <T 面部设定10 ; if T 面部 ≤T 面部设定11 , further determine whether the indoor environment temperature T satisfies T 室内 ≤T 室内设定6 , wherein T 室内设定6 <T 室内设定5 ; if T 室内 ≤T 室内设定6 , determine that the target temperature determination branch is a thirteenth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the thirteenth temperature determination branch is a neutral output value, for example, the output is 0, and the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort demand of the user.
[0068] If T 室内 ≤T 室内设定6 , determine that the target temperature determination branch is a fourteenth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the fourteenth temperature determination branch is a neutral output value, for example, the output is 0, and the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort demand of the user.
[0069] If T 面部 ≤T 面部设定11 , further determine whether the face temperature T satisfies T 面部 ≤T 面部设定12 , wherein T 面部设定11 <T 面部设定12 ; if T 面部 ≤T 面部设定12 , determine that the target temperature determination branch is a fifteenth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the fifteenth temperature determination branch is a cold bias output value, for example, the output is -1, and the thermal sensation state of the target user is cold bias. That is, the user currently feels that the temperature is too low, and the current set target temperature is increased to increase the user's body temperature and improve comfort.
[0070] If T 面部 ≤T 面部设定12If the target temperature determination branch is determined to be the sixteenth temperature determination branch, and the output value of the sixteenth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value, for example, -1, then the target user's temperature and coldness state is "cold". That is, if the user currently feels that the temperature is too low, the current set target temperature will be increased to improve the user's perceived temperature and improve comfort.
[0071] In some embodiments, such as Figure 5 As shown, controller 30 is configured to: if T is not satisfied 室内 ≤T 室内设定5 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定7 , among which, T 室内设定5 <T 室内设定7 If T is satisfied 室内 ≤T 室内设定7 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定13 , among which, T 面部设定13 <T 面部设定12 If T is satisfied 面部 ≤T 面部设定13 If the target temperature decision branch is determined to be the seventeenth temperature decision branch, and the output value of the seventeenth temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0072] If T is not satisfied 面部 ≤T 面部设定13 If the target temperature determination branch is determined to be the eighteenth temperature determination branch, and the output value of the eighteenth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., the output is 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0073] If T is not satisfied 室内 ≤T 室内设定7 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定8 , among which, T 室内设定7 <T 室内设定8 If T is satisfied 室内 ≤T 室内设定8If the target temperature determination branch is determined to be the nineteenth temperature determination branch, the output value of the nineteenth temperature determination branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "hot" output value. For example, if the output is 1, then the target user's temperature and coldness state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0074] If T is not satisfied 室内 ≤T 室内设定8 If the target temperature decision branch is determined as the twentieth temperature decision branch, and the output value of the corresponding twentieth temperature decision branch of the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0075] In some embodiments, such as Figure 5 As shown, controller 30 is also configured to: if T is not satisfied 面部 ≤T 面部设定10 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定9 , among which, T 室内设定5 <T 室内设定9 If T is satisfied 室内 ≤T 室内设定9 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定14 , among which, T 面部设定10 <T 面部设定14 If T is satisfied 面部 ≤T 面部设定14 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定10 , among which, T 室内设定10 <T 室内设定9 If T is satisfied 室内 ≤T 室内设定10 If the target temperature decision branch is determined to be the twenty-first temperature decision branch, and the output value of the twenty-first temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0076] If T is not satisfied 室内 ≤T 室内设定10If the target temperature decision branch is determined to be the twenty-second temperature decision branch, and the output value of the twenty-second temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0077] If T is not satisfied 面部 ≤T 面部设定14 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定11 , among which, T 室内设定11 <T 室内设定10 If T is satisfied 室内 ≤T 室内设定11 If the target temperature decision branch is determined to be the twenty-third temperature decision branch, and the output value of the twenty-third temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0078] If T is not satisfied 室内 ≤T 室内设定11 If the target temperature decision branch is determined to be the twenty-fourth temperature decision branch, and the output value of the twenty-fourth temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value, for example, -1, then the target user's temperature and coldness state is "cold". That is, if the user currently feels that the temperature is too low, the currently set target temperature will be increased to improve the user's perceived temperature and improve comfort.
[0079] In some embodiments, such as Figure 5 As shown, controller 30 is also configured to: if T is not satisfied 室内 ≤T 室内设定9 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定15 , among which, T 面部设定14 <T 面部设定15 If T is satisfied 面部 ≤T 面部设定15 If the target temperature decision branch is determined to be the 25th temperature decision branch, and the output value of the 25th temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0080] If T is not satisfied 面部 ≤T面部设定15 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定16 , among which, T 面部设定15 <T 面部设定16 If T is satisfied 面部 ≤T 面部设定16 If the target temperature determination branch is determined to be the 26th temperature determination branch, the output value of the corresponding 26th temperature determination branch of the user's individual temperature and cold perception decision tree model is obtained as a "hot" output value. For example, if the output is 1, then the target user's temperature and cold perception state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0081] If T is not satisfied 面部 ≤T 面部设定16 If the target temperature decision branch is determined to be the 27th temperature decision branch, and the output value of the 27th temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0082] In some embodiments, such as Figure 6 As shown, controller 30 is also configured to: if T is not satisfied 面部 ≤T 面部设定1 Then execute step ①, which specifically includes: determining whether the facial temperature T is met. 面部 ≤T 面部设定17 , among which, T 面部设定1 <T 面部设定17 If T is satisfied 面部 ≤T 面部设定17 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定12 , among which, T 室内设定1 <T 室内设定12 If T is not satisfied 面部 ≤T 面部设定17 Then, for details, refer to step ③. Figure 7 As shown. If T is satisfied... 室内 ≤T 室内设定12 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定18 , among which, T 面部设定18 <T 面部设定17 If T is satisfied 面部 ≤T 面部设定18 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定19 , among which, T 面部设定19 <T 面部设定18; if T 面部 ≤ T 面部设定19 , it is further determined whether T 室内 ≤ T 室内设定13 , wherein T 室内设定13 <T 室内设定12 ; if T 室内 ≤ T 室内设定13 , it is determined that the target temperature determination branch is the twenty-eighth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the twenty-eighth temperature determination branch is a neutral output value, for example, 0, so that the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at which time the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.
[0083] If T 室内 ≤ T 室内设定13 , it is determined that the target temperature determination branch is the twenty-ninth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the twenty-ninth temperature determination branch is a neutral output value, for example, 0, so that the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at which time the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.
[0084] If T 面部 ≤ T 面部设定19 , it is further determined whether T 室内 ≤ T 室内设定14 , wherein T 室内设定13 <T 室内设定14 ; if T 室内 ≤ T 室内设定14 , it is determined that the target temperature determination branch is the thirtieth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the thirtieth temperature determination branch is a cold bias output value, for example, -1, so that the thermal sensation state of the target user is cold bias. That is, the user currently feels that the temperature is too low, at which time the current set target temperature is increased to increase the user's body temperature and improve comfort.
[0085] If T 室内 ≤ T 室内设定14 , it is determined that the target temperature determination branch is the thirty-first temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the thirty-first temperature determination branch is a neutral output value, for example, 0, so that the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at which time the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.
[0086] In some embodiments, as Figure 6As shown, the controller 30 is further configured to: if T 面部 ≤T 面部设定18 , further determine whether T 室内 ≤T 室内设定15 , where T 室内设定14 <T 室内设定15 ; if T 室内 ≤T 室内设定15 , further determine whether T 面部 ≤T 面部设定20 , where T 面部设定18 <T 面部设定20 ; determine that the target temperature determination branch is a thirty-second temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the thirty-second temperature determination branch is a neutral output value, for example, output is 0, and the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.
[0087] If T 室内 ≤T 室内设定15 , determine that the target temperature determination branch is a thirty-third temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the thirty-third temperature determination branch is a neutral output value, for example, output is 0, and the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.
[0088] If T 室内 ≤T 室内设定15 , further determine whether T 室内 ≤T 室内设定16 , where T 室内设定15 <T 室内设定16 ; if T 室内 ≤T 室内设定16 , determine that the target temperature determination branch is a thirty-fourth temperature determination branch, and the output value of the user individual thermal sensation decision tree model corresponding to the thirty-fourth temperature determination branch is a hot bias output value, for example, output is 1, and the thermal sensation state of the target user is hot bias. That is, the user currently feels that the temperature is too high, and the current set target temperature is reduced to reduce the user's body temperature and improve comfort.
[0089] If T 室内 ≤T 室内设定16If the target temperature decision branch is determined to be the 35th temperature decision branch, and the output value of the 35th temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0090] In some embodiments, such as Figure 6 As shown, controller 30 is also configured to: if T is not satisfied 室内 ≤T 室内设定12 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定21 , among which, T 面部设定21 <T 面部设定17 If T is not satisfied 面部 ≤T 面部设定21 If the target temperature decision branch is determined to be the thirty-sixth temperature decision branch, and the output value of the thirty-sixth temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0091] If T is satisfied 面部 ≤T 面部设定21 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定17 , among which, T 室内设定12 <T 室内设定17 If T is satisfied 室内 ≤T 室内设定17 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定18 , among which, T 室内设定18 <T 室内设定17 If T is satisfied 室内 ≤T 室内设定18 If the target temperature decision branch is determined to be the 37th temperature decision branch, and the output value of the 37th temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "hot" output value, for example, an output of 1, then the target user's temperature and coldness state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0092] If T is not satisfied 室内 ≤T 室内设定18If the target temperature decision branch is determined to be the 38th temperature decision branch, and the output value of the corresponding 38th temperature decision branch of the user's individual temperature and cold perception decision tree model is obtained as a "hot" output value, for example, an output of 1, then the target user's temperature and cold perception state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature will be lowered to reduce the user's perceived temperature and improve comfort.
[0093] If T is not satisfied 室内 ≤T 室内设定17 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定22 , among which, T 面部设定22 <T 面部设定21 If T is satisfied 面部 ≤T 面部设定22 If the target temperature decision branch is determined to be the 39th temperature decision branch, and the output value of the 39th temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "hot" output value, for example, an output of 1, then the target user's temperature and coldness state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0094] If T is not satisfied 面部 ≤T 面部设定22 If the target temperature decision branch is determined to be the 40th temperature decision branch, the output value of the corresponding 40th temperature decision branch of the user's individual temperature and cold perception decision tree model is obtained as a "hot" output value. For example, if the output is 1, then the target user's temperature and cold perception state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0095] In some embodiments, such as Figure 7 As shown, controller 30 is also configured to: if T is not satisfied 面部 ≤T 面部设定17 Then proceed with step ③, which specifically includes: determining whether the indoor ambient temperature T is met. 室内 ≤T 室内设定19 , among which, T 室内设定1 <T 室内设定19 If T is satisfied 室内 ≤T 室内设定19 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定23 , among which, T 面部设定17 <T 面部设定23 If T is satisfied 面部 ≤T 面部设定23If the target temperature decision branch is determined to be the forty-first temperature decision branch, and the output value of the forty-first temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "cold" output value (e.g., -1), then the target user's temperature and coldness state is "cold". That is, if the user currently feels the temperature is too low, the currently set target temperature will be increased to improve the user's perceived temperature and enhance comfort.
[0096] If T is not satisfied 面部 ≤T 面部设定23 If the target temperature decision branch is determined to be the forty-second temperature decision branch, and the output value of the forty-second temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0097] In some embodiments, such as Figure 7 As shown, controller 30 is also configured to: if T is not satisfied 室内 ≤T 室内设定19 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定20 , among which, T 室内设定19 <T 室内设定20 If T is satisfied 室内 ≤T 室内设定20 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定24 , among which, T 面部设定23 <T 面部设定24 If T is satisfied 面部 ≤T 面部设定24 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定25 , among which, T 面部设定25 <T 面部设定24 If T is satisfied 面部 ≤T 面部设定25 If the target temperature decision branch is determined to be the forty-third temperature decision branch, the output value of the forty-third temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "hot" output value. For example, if the output is 1, then the target user's temperature and coldness state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0098] If T is not satisfied 面部 ≤T 面部设定25If the target temperature decision branch is determined to be the forty-fourth temperature decision branch, and the output value of the forty-fourth temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0099] If T is not satisfied 面部 ≤T 面部设定24 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定26 , among which, T 面部设定24 <T 面部设定26 If T is satisfied 面部 ≤T 面部设定26 If the target temperature decision branch is determined to be the forty-fifth temperature decision branch, the output value of the forty-fifth temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "hot" output value. For example, if the output is 1, then the target user's temperature and coldness state is "hot". That is, if the user currently feels that the temperature is too high, then the currently set target temperature is lowered to reduce the user's perceived temperature and improve comfort.
[0100] If T is not satisfied 面部 ≤T 面部设定26 If the target temperature decision branch is determined to be the forty-sixth temperature decision branch, and the output value of the forty-sixth temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0101] In some embodiments, such as Figure 7 As shown, controller 30 is configured to: if T is not satisfied 室内 ≤T 室内设定20 Then, further determine whether the facial temperature T is met. 面部 ≤T 面部设定27 , among which, T 面部设定27 <T 面部设定26 If T is satisfied 面部 ≤T 面部设定27 If the target temperature decision branch is determined to be the forty-seventh temperature decision branch, and the output value of the forty-seventh temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a neutral output value (e.g., an output of 0), then the target user's temperature and coldness state is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0102] If T is not satisfied 面部 ≤T面部设定27 If yes, the target temperature determination branch is determined as the forty-eighth temperature determination branch, and the output value of the user individual temperature and thermal sensation decision tree model corresponding to the forty-eighth temperature determination branch is obtained as a neutral output value, for example, the output is 0, and the thermal sensation state of the target user is neutral. That is, the user currently feels neither cold nor hot, and at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the individual comfort needs of the user.
[0103] The above is the process of determining the thermal sensation state of the user by using the user individual temperature and thermal sensation decision tree model as shown in Figures 4-7 It can be understood that the user individual temperature and thermal sensation recognition process of other models is similar to the above process, but the levels of the model, the temperature determination branches, and the temperature decision conditions of each node of each branch are different from those of the model of the present disclosure.
[0104] Further, in some embodiments, in order to improve the accuracy of recognizing the current thermal sensation of the user based on the above user individual temperature and thermal sensation decision tree model, the controller 30 is further configured to periodically input the facial temperature and the indoor environment temperature into the user individual temperature and thermal sensation decision tree model to obtain a preset number of output values output by the user individual temperature and thermal sensation decision tree model, to statistically and classify the preset number of output values, and to take the thermal sensation state corresponding to the output value in the classification containing the most output values as the thermal sensation state of the target user. Thus, the accuracy of the user individual temperature and thermal sensation recognition can be improved, and the model can also perform machine learning to further optimize and further improve the accuracy of the recognition result, forming a virtuous cycle.
[0105] In some embodiments, the controller 30 is further configured to: when the air conditioner 1 is in the heating mode, the thermal sensation state of the target user is determined to be cold for a continuous preset number of times, the indoor fan speed of the air conditioner 1 is increased; when the air conditioner 1 is in the heating mode, the thermal sensation state of the target user is determined to be hot for a continuous preset number of times, the indoor fan speed of the air conditioner 1 is reduced; when the air conditioner 1 is in the cooling mode, the thermal sensation state of the target user is determined to be cold for a continuous preset number of times, the indoor fan speed of the air conditioner 1 is reduced; and when the air conditioner 1 is in the cooling mode, the thermal sensation state of the target user is determined to be hot for a continuous preset number of times, the indoor fan speed of the air conditioner 1 is increased. For example, the controller 30 performs three independent thermal sensation judgments by using the user individual temperature and thermal sensation decision tree model to obtain independent thermal sensation judgment values (-1, 0, 1), and then performs statistics to obtain the most corresponding thermal sensation as the output value of the final thermal sensation determination.
[0106] For example, as shown in Figure 8Fig. 6 shows a flow chart of the overall operation logic of the air conditioner comfort control according to an embodiment of the present disclosure. If the controller 30 outputs that the user is slightly hot (1) through the user individual thermal sensation decision tree model, the controller 30 sends a cooling signal to reduce the set temperature by 1°C. If the controller 30 outputs that the user is slightly cold (-1) through the user individual thermal sensation decision tree model, the controller 30 sends a heating signal to increase the set temperature by 1°C. If the controller 30 outputs that the user is neutral (0) through the user individual thermal sensation decision tree model, the controller 30 keeps the set temperature unchanged. The air conditioner feedback time is used as the judgment period. If the thermal sensation prediction is cold (or hot) for three consecutive periods, it is considered that the user has a strong thermal sensation, and the air conditioner speed needs to be increased by one level. Otherwise, the air conditioner speed remains unchanged according to the original setting.
[0107] In some embodiments, the second aspect of the present disclosure also proposes a control method of an air conditioner, which can be executed by the controller 30 of the air conditioner. The control method comprises: receiving a face temperature of a target user and an indoor environment temperature; inputting the face temperature and the indoor environment temperature into a user individual thermal sensation decision tree model, determining a thermal sensation state of the target user according to an output value of the user individual thermal sensation decision tree model, adjusting a current set target temperature according to the thermal sensation state, and controlling the air conditioner to operate according to the adjusted target temperature. In the user individual thermal sensation decision tree model, at least six layers of temperature decision condition sets are configured, which constitute a plurality of temperature judgment branches. The first layer of temperature decision condition set comprises a decision condition based on the face temperature. The second layer of temperature decision condition set comprises a decision condition based on the face temperature and the indoor environment temperature. The third layer of temperature decision condition set comprises a decision condition based on two face temperatures and two indoor environment temperatures. The fourth layer of temperature decision condition set comprises a decision condition based on five face temperatures and three indoor environment temperatures. The fifth layer of temperature decision condition set comprises a decision condition based on seven face temperatures and five indoor environment temperatures. The sixth layer of temperature decision condition set comprises a decision condition based on eleven face temperatures and nine indoor environment temperatures. The thermal sensation state of the target user is determined according to the output value of the user individual thermal sensation decision tree model. The current set target temperature is adjusted according to the thermal sensation state, and the air conditioner is controlled to operate according to the adjusted target temperature.
[0108] Of course, in embodiments, the control method of the air conditioner according to the embodiments of the present disclosure can also include other contents executed by the controller 30 of the air conditioner, such as how to obtain the face temperature and how to identify the current thermal sensation state of the user based on the user individual thermal sensation decision tree model. For details, please refer to the above description, which will not be repeated here.
[0109] The above, the present application aims at different thermal comfort needs of individual users, establishes a user individual temperature and cold feeling decision tree model based on big data artificial intelligence technology, self-learns the user temperature and cold feeling change rule, accurately identifies the individual thermal comfort needs of the user, performs personalized thermal comfort control, and meets the comfort control requirements of different individual differences and personalization of users. At the same time, the PMV prediction comfort model based on the general population weakens the individual difference, so that the air conditioner 1 not only meets the comfort needs of the general population, but also can realize the personalized comfort needs of individual family users.
[0110] In an embodiment, the above is for an individual user, for example, there is only one user in the room, the user individual comfort mode is selected by the user, or the air conditioner 1 detects that there is only one user in the room and automatically starts the user individual comfort mode, then the air conditioner 1 can execute the user individual comfort mode according to the above embodiment, and improve the individual comfort of the user. However, when there are multiple people in the room, the air conditioner 1 will run the TMS (Thermal and humidity Management System) comfort mode based on the PMV prediction comfort model suitable for the general population.
[0111] In some embodiments, when the air conditioner 1 is automatically running, the indoor user detection function can be started to detect how many people are in the room. When there is one person, the user individual comfort mode can be automatically started, and when there are multiple people, the TMS comfort mode can be run.
[0112] For the user individual comfort mode, as shown in Figure 9 When the air conditioner 1 is running, the user individual comfort mode is activated, the indoor temperature and humidity are collected, and then the controller 30 calculates the target temperature or receives the target temperature set by the user. The controller 30 receives the target user face temperature and the indoor environment temperature and calls the user individual temperature and cold feeling decision tree model, and then adjusts the target temperature according to the model output value, and then controls the air conditioner to run based on the adjusted target temperature, meets the individual comfort needs of the individual user, and improves the user comfort.
[0113] The TMS comfort mode based on the PMV prediction comfort model is described below.
[0114] In some embodiments, the TMS comfort mode is an air conditioner cooling / heating comfort control method that effectively adjusts the comfort level of the air conditioner. It effectively solves the technical problem of how to control the air conditioner through temperature and humidity indicators. The entire comfortable cooling / heating stage is divided into three stages: initial comfort stage + stable comfort stage + healthy comfort stage. It not only effectively meets people's requirements for a perfect experience of cooling comfort, but also achieves a perfect combination of comfort and energy saving. In the healthy comfort stage, according to the thermal adaptability characteristics of the human body, the target set temperature is raised by 1℃, that is, Ts_saving = Ts_comfort + 1℃, which achieves the purpose of both comfort and energy saving.
[0115] In this embodiment, the TMS comfort mode first relies on temperature and humidity target values for addressing. The temperature and humidity addressing rule is calculated based on the predicted average thermal perception index (PMV) of the human body, generating a "comfort temperature and humidity benchmark table (PMV value within ±0.5)" as the benchmark table for the air conditioner's comfort control. The air conditioner detects the outdoor ambient temperature Tout, indoor ambient temperature Tin, and indoor relative humidity Rh through sensors. It enters the corresponding temperature zone according to the acquired outer ring Tout, and combines this with the thermal resistance clo of human clothing and the metabolic rate M of human activity to obtain different temperature compensation values T_compensation, and determines the specific operating mode of the air conditioner (cooling / heating / ventilation). Then, based on the comfort temperature and humidity benchmark table, and using the acquired indoor relative humidity Rh as a pointer, it addresses within the benchmark table to determine the target set temperature Ts_comfort for the stable comfort stage. The air conditioner operates with Ts_comfort as the target set value.
[0116] In some embodiments, for the TMS comfort mode, the initial temperature and humidity addressing always revolves around the six factors affecting human thermal sensation: environmental parameters (air temperature, relative humidity, wind speed, mean radiant temperature) and human parameters (human activity intensity, clothing thermal resistance). With human comfort control as the core, this approach has significant advantages over the current industry practice of designing and controlling comfort air conditioners using a single temperature index or a single humidity index.
[0117] Table 1 below shows the names and meanings of the various symbols in the TMS Comfort Mode description.
[0118] Table 1
[0119]
[0120] In some embodiments, when the TMS comfort mode is running, the air conditioner detects the outer ring Tout, the inner ring Tin, and the indoor relative humidity Rh through the sensors configured by itself. According to the obtained Tout, the corresponding division temperature zone is entered, and the next specific running mode (cooling / heating / air supply) is determined. Every 2 hours, the new running temperature zone is determined according to the outer ring temperature Tout. If it is still in the original running temperature zone, the original mode and stage running are continued to be maintained; if it is in the new temperature zone, the original running mode is interrupted, and the new specific sub-mode running is entered in combination with the inner ring temperature Tin and the indoor relative humidity Rh in the new temperature zone. The indoor sensor fails or overflows, and the humidity sensor is not available, and Rh is defaulted to 65%.
[0121] In some embodiments, according to the comfort temperature and humidity reference table, the obtained Tout is entered into the corresponding temperature zone, the mode to be entered is determined, including cooling, heating, air supply, etc., and then the rules in different modes are addressed, which are as follows.
[0122] Table 2 Comfort temperature and humidity reference table
[0123]
[0124] Table 3 Temperature compensation value table
[0125] Outdoor ambient temperature Tout (°C) Clothing thermal resistance clo Metabolic rate of the human body M Comfort temperature compensation value T 补( °C > 24 (fourth temperature zone) 0.5 1.2 0 > 18, < 24 (third temperature zone) 0.8 1.2 -2 > 13, < 18 (second temperature zone) 1.0 1.2 -3 < 13 (first temperature zone) 1.0 1.2 -3
[0126] In some embodiments, when the air conditioner runs in the cooling mode, the addressing process is as shown in the following table. Figure 10
[0127] According to the reference comfort table in Table 3. If Rh<30% (the lower limit value of the comfort humidity in the comfort table), the lowest temperature corresponding to Rh30% in the comfort table is taken as Ts_ 初 (Ts_ 初 = 24.5℃); if Rh>65% (the upper limit value of the comfort humidity in the comfort table), the lowest temperature corresponding to Rh65% in the comfort table is taken as Ts_ 初 (Ts_ 初 = 23.5℃); if 65%≥Rh≥30% (the upper and lower limit values of the comfort humidity in the comfort table), the lowest temperature corresponding to the closest humidity in the comfort table is taken as Ts_ 初 (for example, Rh=43%, the closest humidity in the comfort table is Rh=45%, and the lowest temperature corresponding to Rh=45% is Ts_ 初 = 24℃). The average value (25.25℃) of the sum of the upper limit value (26.5℃) and the lower limit value (24℃) of the comfort humidity corresponding to Rh=50% in the comfort table is taken as Ts_ 舒 , which is defaulted to 25.5℃.
[0128] In some embodiments, when the air conditioner runs in the heating mode, the addressing process is as shown in the following table.Figure 11 As shown, the addressing process is as follows:
[0129] According to Table 3, the reference comfort table. If Rh < 30% (the lower limit of the comfortable humidity in the comfort table), the highest temperature corresponding to Rh 30% in the comfort table is Ts_ 初 (Ts_ 初 = 27°C); if Rh > 65% (the upper limit of the comfortable humidity in the comfort table), the highest temperature corresponding to Rh 65% in the comfort table is Ts_ 初 (Ts_ 初 = 26°C); if 65% ≥ Rh ≥ 30% (the upper and lower limits of the comfortable humidity in the comfort table), the lowest temperature corresponding to the closest humidity in the comfort table is Ts_ 初 (For example, if Rh = 43%, the closest humidity in the comfort table is Rh = 45%, then the highest temperature corresponding to Rh = 45% is Ts_ 初 = 26.5°C). The average value (25.25°C) of the sum of the upper limit of the comfortable humidity (26.5°C) and the lower limit of the comfortable humidity (24°C) corresponding to Rh = 50% in the comfort table is taken as Ts_shu, and the default is 25.5°C.
[0130] In some embodiments, when the air conditioner operates in the air supply mode, the air conditioner does not perform addressing.
[0131] The following takes the process of the air conditioner operating in the TMS comfort mode in the dehumidification and cooling modes as an example for illustration
[0132] For example, as Figure 12 shown, Tout > 24°C.
[0133] ⑴. If Tin ≤ 28°C and Rh ≥ 65%, enter the dehumidification mode. Check Tables 2 and 3 to obtain Ts_ 初 、Ts_ 舒 、Ts_ 节 (where Ts_ 节 = Ts_ 舒 + 1°C) and the T compensation value, and enter the initial dehumidification comfort stage.
[0134] In the initial dehumidification comfort stage: Ts = Ts_ 初 + T 补 , the display screen of the air conditioner shows Ts_ 舒 + T compensation and the air conditioner displays an icon indicating the change in the operation stage of the TMS comfort mode). When E ≤ 0.5°C and accumulates for 5 minutes or (Tin - (Ts_ 舒 + T 补 )) ≤ -0.5°C and accumulates for 15 minutes, enter the stable dehumidification comfort stage / / (Tin - (Ts_ 舒 + T 补)) ≤ -0.5 °C indicates that the set temperature of the initial comfort stage is not reached, but the set temperature of the stable comfort stage is reached.
[0135] Dehumidification stable comfort stage: Ts(1) = Ts_ 初 + T 补 + 0.5 °C, increasing by 0.5 °C every 5 min, i.e., Ts(n + 1) = Ts(n) + 0.5 °C until Ts(n + 1) = Ts_ 舒 + T 补 , where n is a natural number greater than or equal to 1. / / Using a recursive increasing function to prevent the compressor from stopping when reaching the set temperature due to a large change in the set temperature during stage conversion. When E ≤ -0.5 °C and lasts for 30 min (starting from Ts(n + 1) = Ts_comfort + T_supplement), enter the dehumidification healthy comfort stage.
[0136] Dehumidification healthy comfort stage: Ts(1) = Ts_ 舒 + T 补 + 0.5 °C, increasing by 0.5 °C every 5 min, i.e., Ts(n + 1) = Ts(n) + 0.5 °C until Ts(n + 1) = Ts_ 节 + T 补 , where n is a natural number greater than or equal to 1. / / Using a recursive increasing function to prevent the compressor from stopping when reaching the set temperature due to a large change in the set temperature during stage conversion.
[0137] ⑵ If Tin ≤ 28 °C and Rh < 65%, enter the air supply mode.
[0138] ⑶ If Tin > 28 °C, enter the refrigeration mode. Check Table 2 and Table 3 to obtain Ts_ 初 、Ts_ 舒 、Ts_ 节 (where Ts_ 节 = Ts_ 舒 + 1 °C) and the T_supplement value, and enter the refrigeration initial comfort stage.
[0139] Refrigeration initial comfort stage: Ts = Ts_ 初 + T <000042
[0140] Refrigeration stable comfort stage: Ts(1) = Ts_ 初 + T 补 + 0.5℃, every 5 min increment 0.5℃, that is, Ts(n+1) = Ts(n) + 0.5℃, until Ts(n+1) = Ts_ 舒 + T 补 , n is a natural number ≥ 1. / / Recursive incremental function is used to prevent the phenomenon of large set temperature change amplitude causing compressor shutdown when reaching the set temperature during stage conversion. 舒 + T 补 , n is a natural number ≥ 1. / / Recursive incremental function is used to prevent the phenomenon of large set temperature change amplitude causing compressor shutdown when reaching the set temperature during stage conversion.
[0141] Refrigeration stable comfort stage: Ts(1) = Ts_ 舒 + T 补 + 0.5℃, every 5 min increment 0.5℃, that is, Ts(n+1) = Ts(n) + 0.5℃, until Ts(n+1) = Ts_ 节 + T 补 , n is a natural number ≥ 1. / / Recursive incremental function is used to prevent the phenomenon of large set temperature change amplitude causing compressor shutdown when reaching the set temperature during stage conversion.
[0142] In some embodiments, the indoor fan running state, compressor running state and frequency, electric heating running state, horizontal air deflector, vertical air deflector, etc. in the initial comfort, stable comfort, and healthy comfort stages of each mode are shown in Table 4.
[0143] Table 4 Air conditioner component operation control requirement table
[0144]
[0145] In some embodiments, according to the humidity control and humidity preservation theory (such as Table 5, Figure 13 ), an indoor fan comfort control method is proposed, which better controls and maintains the indoor environment relative humidity within the range of human comfortable humidity.
[0146] Table 54 Relationship between absolute dehumidification amount and indoor unit speed
[0147] Absolute dehumidification amount for 4h 700 rpm 870 rpm 1000 rpm 1250 rpm Indoor 27°C / 15.8°C (30% RH) 3.90 kg 3.24 kg 3.01 kg 2.94 kg Indoor 27°C / 19°C (47% RH) 3.68 kg 4.51 kg 4.79 kg 4.11 kg Indoor 27°C / 21.2°C (60% RH) 4.21 kg 5.45 kg 4.66 kg 4.70 kg
[0148] Based on the above humidity control and humidity retention theory, an indoor fan comfort control method is proposed, which can control and maintain the indoor environment relative humidity in the range of human comfortable humidity. Figure 14 The indoor fan comfort control method of the air conditioner when the operation mode is the cooling mode is described.
[0149] Step S11, the air conditioner starts the TMS function. Step S12, the indoor environment temperature Tin, the outdoor environment temperature Tout, the indoor environment relative humidity Rh and the indoor instantaneous sampling relative humidity Rhi are obtained.
[0150] Step S13, according to the indoor environment temperature Tin, the outdoor environment temperature Tout and the indoor environment relative humidity Rh, the air conditioner enters the cooling or dehumidification mode.
[0151] Step S14, the air conditioner enters the cooling mode. Step S15, the indoor fan speed is controlled.
[0152] Step S16, it is judged whether the set temperature difference E is greater than the first set temperature, for example, 2℃, if yes, step S17 is executed; if no, step S18 is executed.
[0153] Step S17, the indoor fan is controlled to run at the first wind speed. Step S18, the indoor fan is controlled to run at the second wind speed. Step S19, it is judged whether the set temperature difference E is less than or equal to the first set temperature, for example, 2℃, if yes, step S18 is executed; if no, step S17 is executed.
[0154] S20, it is judged whether the first temperature difference value is greater than or equal to -2℃ and less than or equal to 2℃ within a preset time, if yes, step S21 is executed; if no, step S18 is executed.
[0155] Step S21, it is judged whether the second temperature difference value is greater than or equal to -6 and less than 6, if yes, step 20 is executed; if no, step S22 is executed.
[0156] Step S22, it is judged whether the second temperature difference value is greater than 6, if yes, step S23 is executed; if no, step S24 is executed.
[0157] Step S23, the indoor fan is controlled to run at the third wind speed.
[0158] Step S24, it is judged whether the second temperature difference value is less than -6, if yes, step S25 is executed, if no, step S21 is executed.
[0159] Step S25, the indoor fan is controlled to run at the fourth wind speed.
[0160] Through the above steps S11-S25, the user's use comfort can be ensured while reducing the energy consumption of the air conditioner.
[0161] The TMS comfort mode based on the PMV model of the embodiments of the present disclosure is described above.
[0162] In summary, the air conditioner of the embodiments of the present disclosure can set a user individual comfort mode and a TMS comfort mode. Since the PMV model is an average thermal sensation prediction model based on a general population, the influence of user individual differences is weakened. In order to meet the personalized and differentiated thermal comfort needs of household air conditioners, especially individual users in a family, an artificial intelligence technology based on big data is used to establish a user individual warm and cold sensation decision tree model, to self-learn the change rule of user warm and cold sensation, to accurately identify the individual thermal comfort needs of the user, to perform personalized thermal comfort control, and to meet the differentiated and personalized comfort control requirements of different user individuals. It also makes up for the deficiency of the PMV prediction comfort model based on the general population that weakens the individual differences, so that the air conditioner not only meets the comfort needs of the general population, but also can realize the personalized comfort needs of a single family user.
[0163] The user individual warm and cold sensation decision tree model of the embodiments of the present disclosure is based on a machine learning method, and its accuracy depends largely on the amount of data involved in the training. Therefore, in actual application, as the amount of data continues to increase, its accuracy will also improve. The warm and cold sensation prediction model based on skin temperature can achieve full automatic control without the need for personnel to adjust parameters in ideal conditions.
[0164] In addition, the terms used in the above technical description are used to provide a thorough understanding of the described embodiments. However, it is not necessary to be overly detailed in order to implement the described embodiments. Therefore, the above description of the embodiments is presented for explanation and description. The embodiments presented in the above description and the examples disclosed according to these embodiments are individually provided to add context and help understand the described embodiments. The above description is not used to be exhaustive or to limit the described embodiments to the exact form of the present disclosure. According to the above teachings, several modifications, selections and changes are feasible. In some cases, well-known processing steps are not described in detail to avoid unnecessarily affecting the described embodiments.
Claims
1. An air conditioner characterized by comprising: include: A human body temperature detection device, wherein the human body temperature detection device is used to detect the facial temperature of a target user; An indoor temperature detection device, wherein the indoor temperature detection device is used to detect indoor ambient temperature; A controller, connected to the human body temperature detection device and the indoor temperature detection device, is configured to: The facial temperature and the indoor ambient temperature are input into a user-specific temperature and coldness decision tree model. The user's temperature and coldness state is determined based on the output of the model. The target temperature is adjusted according to this state, and the air conditioner is controlled based on the adjusted target temperature. The user-specific temperature and coldness decision tree model has at least six layers of temperature decision conditions, forming multiple temperature determination branches. Specifically, the first layer includes decision conditions based on the facial temperature; the second layer includes decision conditions based on one facial temperature and one indoor ambient temperature; the third layer includes decision conditions based on two facial temperatures and two indoor ambient temperatures; the fourth layer includes decision conditions based on five facial temperatures and three indoor ambient temperatures; the fifth layer includes decision conditions based on seven facial temperatures and five indoor ambient temperatures; and the sixth layer includes decision conditions based on eleven facial temperatures and nine indoor ambient temperatures. Specifically, when the controller determines the temperature and cold sensation state of the target user, it compares the facial temperature and the indoor ambient temperature with the multiple temperature determination branches composed of at least six layers of temperature decision condition sets in the user's individual temperature and cold sensation decision tree model to determine the target temperature determination branch, obtain the output value of the user's individual temperature and cold sensation decision tree model corresponding to the target temperature determination branch, and take the temperature and cold sensation state corresponding to the output value as the temperature and cold sensation state of the target user. The controller is configured as follows: determining whether the face temperature satisfies T 面部 ≤ T 面部设定1 ; If T 面部 ≤T 面部设定1 , then further determine whether the indoor environment temperature T 室内 ≤T 室内设定1 ; If T 室内 ≤ T 室内设定1 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定2 , wherein T 面部设定2 <T 面部设定1 ; If T 面部 ≤ T 面部设定2 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定3 , wherein T 面部设定3 <T 面部设定1 ; If T 面部 ≤ T 面部设定3 , the target temperature determination branch is determined to be a first temperature determination branch, and the output value of the user individual temperature cold and warm feeling decision tree model corresponding to the first temperature determination branch is a cold bias output value. Therefore, the cold and warm feeling state of the target user is cold bias. If T 面部 ≤ T 面部设定3 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定2 , wherein T 室内设定2 < T 室内设定1 ; If T 室内 ≤T 室内设定2 , then further determine whether the indoor environment temperature T 室内 ≤T 室内设定3 , wherein T 室内设定3 <T 室内设定2 ; If T 室内 ≤ T 室内设定3 , it is determined that the target temperature determination branch is a second temperature determination branch, and an output value corresponding to the second temperature determination branch of the user individual temperature thermal sensation decision tree model is a cold bias output value. Therefore, the thermal sensation state of the target user is cold bias. if T 室内 ≤ T 室内设定3 , the target temperature determination branch is determined as a third temperature determination branch, and an output value corresponding to the third temperature determination branch of the user individual temperature thermal sensation decision tree model is a cold bias output value. Thus, the target user's thermal sensation state is cold bias. if T 室内 ≤ T 室内设定2 , then further determine whether T 面部 ≤ T 面部设定4 , wherein T 面部设定3 < T 面部设定4 ; If T 面部 ≤ T 面部设定4 , it is determined that the target temperature determination branch is a fourth temperature determination branch, and the output value corresponding to the fourth temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value. Therefore, the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定4 , it is determined that the target temperature determination branch is a fifth temperature determination branch, and an output value corresponding to the fifth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user's warm-cold sensation state is cold bias.
2. The air conditioner of claim 1, wherein The controller is also configured to: if T 面部 ≤ T 面部设定2 , then further determine whether T 面部 ≤ T 面部设定5 , wherein T 面部设定2 < T 面部设定5 ; If T 面部 ≤ T 面部设定5 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定4 , wherein T 室内设定2 < T 室内设定4 ; If T 室内 ≤ T 室内设定4 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定6 , wherein T 面部设定6 <T 面部设定5 ; If T 面部 ≤ T 面部设定6 , it is determined that the target temperature determination branch is a sixth temperature determination branch, and an output value corresponding to the sixth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user's warm-cold sensation state is cold bias. if T 面部 ≤ T 面部设定6 , the target temperature determination branch is determined as a seventh temperature determination branch, and an output value corresponding to the seventh temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value, and the target user's thermal sensation state is neutral. If T 室内 ≤ T 室内设定4 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定7 , wherein T 面部设定7 < T 面部设定6 ; If T 面部 ≤ T 面部设定7 , it is determined that the target temperature determination branch is an eighth temperature determination branch, and an output value corresponding to the eighth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user's warm-cold sensation state is cold bias. If T 面部 ≤ T 面部设定7 , it is determined that the target temperature determination branch is a ninth temperature determination branch, and an output value corresponding to the ninth temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value. Therefore, the thermal sensation state of the target user is neutral.
3. The air conditioner of claim 2, wherein The controller is also configured to: if T 面部 ≤ T 面部设定5 , then further determine whether T 面部 ≤ T 面部设定8 , wherein T 面部设定5 < T 面部设定8 ; If T 面部 ≤ T 面部设定8 , it is determined that the target temperature determination branch is a tenth temperature determination branch, and an output value corresponding to the tenth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user's warm-cold sensation state is cold bias. if T 面部 ≤ T 面部设定8 , then further determine whether T 面部 ≤ T 面部设定9 , wherein T 面部设定8 < T 面部设定9 ; If T 面部 ≤ T 面部设定9 , the target temperature determination branch is determined as an eleventh temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the eleventh temperature determination branch is neutral, and the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定9 , it is determined that the target temperature determination branch is a twelfth temperature determination branch, and an output value corresponding to the twelfth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value.
4. The air conditioner of claim 1, wherein The controller is also configured to: if T 室内 ≤ T 室内设定1 , then further determine whether T 面部 ≤ T 面部设定10 , wherein T 面部设定10 < T 面部设定1 ; If T 面部 ≤ T 面部设定10 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定5 , wherein T 室内设定1 < T 室内设定5 ; If T 室内 ≤ T 室内设定5 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定11 , wherein T 面部设定11 < T 面部设定10 ; If T 面部 ≤ T 面部设定11 , then further determine whether T 室内 ≤ T 室内设定6 , wherein T 室内设定6 < T 室内设定5 ; If T 室内 ≤ T 室内设定6 , it is determined that the target temperature determination branch is a thirteenth temperature determination branch, and an output value corresponding to the thirteenth temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value, so that the thermal sensation state of the target user is neutral. if T 室内 ≤ T 室内设定6 , the target temperature determination branch is determined as a fourteenth temperature determination branch, and an output value corresponding to the fourteenth temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value, and the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定11 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定12 , wherein T 面部设定11 < T 面部设定12 ; If T 面部 ≤ T 面部设定12 , it is determined that the target temperature determination branch is a fifteenth temperature determination branch, and an output value corresponding to the fifteenth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value, and the target user's warm-cold sensation state is cold bias. If T 面部 ≤ T 面部设定12 , it is determined that the target temperature determination branch is a sixteenth temperature determination branch, and an output value corresponding to the sixteenth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user has a cold bias warm-cold sensation.
5. The air conditioner of claim 4, wherein The controller is also configured to: If T 室内 ≤ T 室内设定5 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定7 , wherein T 室内设定5 < T 室内设定7 ; If T 室内 ≤ T 室内设定7 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定13 , wherein T 面部设定13 < T 面部设定12 ; If T 面部 ≤ T 面部设定13 , the target temperature determination branch is determined as a seventeenth temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the seventeenth temperature determination branch is neutral, and the thermal sensation state of the target user is neutral. if T 面部 ≤ T 面部设定13 , the target temperature determination branch is determined as an eighteenth temperature determination branch, and an output value corresponding to the eighteenth temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value, and the target user's thermal sensation state is neutral. If T 室内 ≤ T 室内设定7 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定8 , wherein T 室内设定7 < T 室内设定8 ; If T 室内 ≤ T 室内设定8 , it is determined that the target temperature determination branch is the nineteenth temperature determination branch, and the output value of the user individual temperature hot-cold decision tree model corresponding to the nineteenth temperature determination branch is a hot bias output value. Therefore, the hot-cold state of the target user is hot bias. If T 室内 ≤ T 室内设定8 , it is determined that the target temperature determination branch is the twentieth temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the twentieth temperature determination branch is a neutral output value. Therefore, the thermal sensation state of the target user is neutral.
6. The air conditioner of claim 4, wherein The controller is also configured to: If T 面部 ≤ T 面部设定10 , then further determine whether T 室内 ≤ T 室内设定9 , wherein T 室内设定5 < T 室内设定9 ; If T 室内 ≤ T 室内设定9 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定14 , wherein T 面部设定10 < T 面部设定14 ; If T 面部 ≤ T 面部设定14 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定10 , wherein T 室内设定10 < T 室内设定9 ; If T 室内 ≤ T 室内设定10 , the target temperature determination branch is determined as a twenty-first temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the twenty-first temperature determination branch is neutral, so the thermal sensation state of the target user is neutral. if T 室内 ≤ T 室内设定10 , it is determined that the target temperature determination branch is a twenty-second temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the twenty-second temperature determination branch is a neutral output value, so that the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定14 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定11 , wherein T 室内设定11 < T 室内设定10 ; If T 室内 ≤ T 室内设定11 , the target temperature determination branch is determined as a twenty-third temperature determination branch, and the output value corresponding to the twenty-third temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value. Thus, the thermal sensation state of the target user is neutral. If T 室内 ≤ T 室内设定11 , it is determined that the target temperature determination branch is a twenty-fourth temperature determination branch, and an output value corresponding to the twenty-fourth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user has a cold bias warm-cold sensation state.
7. The air conditioner of claim 6, wherein The controller is also configured to: If T 室内 ≤ T 室内设定9 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定15 , wherein T 面部设定14 < T 面部设定15 ; If T 面部 ≤ T 面部设定15 , the target temperature determination branch is determined as a twenty-fifth temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the twenty-fifth temperature determination branch is neutral, and the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定15 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定16 , wherein T 面部设定15 < T 面部设定16 ; If T 面部 ≤ T 面部设定16 , it is determined that the target temperature determination branch is a twenty-sixth temperature determination branch, and an output value of the user individual temperature warm-cold sensation decision tree model corresponding to the twenty-sixth temperature determination branch is a warm bias output value, and the target user's warm-cold sensation state is warm bias; If T 面部 ≤ T 面部设定16 , it is determined that the target temperature determination branch is the twenty-seventh temperature determination branch, and the output value corresponding to the twenty-seventh temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value, so the thermal sensation state of the target user is neutral.
8. The air conditioner of claim 1, wherein The controller is also configured to: If T 面部 ≤ T 面部设定1 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定17 , wherein T 面部设定1 < T 面部设定17 ; If T 面部 ≤ T 面部设定17 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定12 , wherein T 室内设定1 < T 室内设定12 ; If T 室内 ≤ T 室内设定12 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定18 , wherein T 面部设定18 < T 面部设定17 ; If T 面部 ≤ T 面部设定18 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定19 , wherein T 面部设定19 < T 面部设定18 ; If T 面部 ≤ T 面部设定19 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定13 , wherein T 室内设定13 < T 室内设定12 ; If T 室内 ≤ T 室内设定13 , it is determined that the target temperature determination branch is a twenty-eighth temperature determination branch, and an output value corresponding to the twenty-eighth temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value, so that the thermal sensation state of the target user is neutral. if T 室内 ≤ T 室内设定13 , the target temperature determination branch is determined as the twenty-ninth temperature determination branch, and the output value corresponding to the twenty-ninth temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value, and the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定19 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定14 , wherein T 室内设定13 < T 室内设定14 ; If T 室内 ≤ T 室内设定14 , the target temperature determination branch is determined as the thirtieth temperature determination branch, and the output value of the user individual temperature warm-cold sensation decision tree model corresponding to the thirtieth temperature determination branch is a cold bias output value. Therefore, the target user's warm-cold sensation state is cold bias. If T 室内 ≤ T 室内设定14 , it is determined that the target temperature determination branch is a thirty-first temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the thirty-first temperature determination branch is a neutral output value. Therefore, the target user's thermal sensation state is neutral.
9. The air conditioner of claim 8, wherein The controller is also configured to: If T 面部 ≤ T 面部设定18 , then further determine whether T 室内 ≤ T 室内设定15 , wherein T 室内设定14 < T 室内设定15 ; If T 室内 ≤ T 室内设定15 , then further determine whether T 面部 ≤ T 面部设定20 , wherein T 面部设定18 < T 面部设定20 ; it is determined that the target temperature determination branch is a thirty-second temperature determination branch, and the output value corresponding to the thirty-second temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value, so that the thermal sensation state of the target user is neutral. if T 室内 ≤ T 室内设定15 , the target temperature determination branch is determined as a thirty-third temperature determination branch, and an output value corresponding to the thirty-third temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value, and the thermal sensation state of the target user is neutral. If T 室内 ≤ T 室内设定15 , then further determine whether T 室内 ≤ T 室内设定16 , wherein T 室内设定15 < T 室内设定16 ; If T 室内 ≤ T 室内设定16 , it is determined that the target temperature determination branch is a thirty-fourth temperature determination branch, and an output value of the user individual temperature hot-cold decision tree model corresponding to the thirty-fourth temperature determination branch is a heat bias output value, and the target user has a heat bias hot-cold state. If T 室内 ≤ T 室内设定16 , it is determined that the target temperature determination branch is a thirty-fifth temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the thirty-fifth temperature determination branch is a neutral output value, and the target user's thermal sensation state is neutral.
10. The air conditioner of claim 8, wherein The controller is also configured to: if T 室内 ≤ T 室内设定12 , then further determine whether T 面部 ≤ T 面部设定21 , wherein T 面部设定21 < T 面部设定17 ; if T 面部 ≤ T 面部设定21 , then the target temperature determination branch is determined as a thirty-sixth temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the thirty-sixth temperature determination branch is neutral, so that the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定21 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定17 , wherein T 室内设定12 < T 室内设定17 ; If T 室内 ≤ T 室内设定17 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定18 , wherein T 室内设定18 < T 室内设定17 ; If T 室内 ≤ T 室内设定18 , it is determined that the target temperature determination branch is a thirty-seventh temperature determination branch, and an output value corresponding to the thirty-seventh temperature determination branch of the user individual temperature hot-cold sensation decision tree model is a heat bias output value, and the target user's hot-cold sensation state is heat bias; if T 室内 ≤ T 室内设定18 , then the target temperature determination branch is determined as a thirty-eighth temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the thirty-eighth temperature determination branch is a heat bias output value, and the target user's thermal sensation state is heat bias; if T 室内 ≤ T 室内设定17 , then further determine whether T 面部 ≤ T 面部设定22 , wherein T 面部设定22 < T 面部设定21 ; If T 面部 ≤ T 面部设定22 , it is determined that the target temperature determination branch is the thirty-ninth temperature determination branch, an output value corresponding to the thirty-ninth temperature determination branch of the user individual temperature hot-cold sensation decision tree model is a heat bias output value, and the target user has a heat bias hot-cold sensation state. If T 面部 ≤ T 面部设定22 , it is determined that the target temperature determination branch is the fortieth temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the fortieth temperature determination branch is a heat bias output value, and the thermal sensation state of the target user is heat bias.
11. The air conditioner of claim 8, wherein The controller is also configured to: If T 面部 ≤ T 面部设定17 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定19 , wherein T 室内设定1 < T 室内设定19 ; If T 室内 ≤ T 室内设定19 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定23 , wherein T 面部设定17 < T 面部设定23 ; If T 面部 ≤ T 面部设定23 , it is determined that the target temperature determination branch is a forty-first temperature determination branch, and an output value corresponding to the forty-first temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value. Therefore, the target user's warm-cold sensation state is cold bias. If T 面部 ≤ T 面部设定23 , it is determined that the target temperature determination branch is a forty-second temperature determination branch, and an output value corresponding to the forty-second temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value. Therefore, the thermal sensation state of the target user is neutral.
12. The air conditioner of claim 11, wherein The controller is also configured to: If T 室内 ≤ T 室内设定19 , then further determine whether T 室内 ≤ T 室内设定20 , wherein T 室内设定19 < T 室内设定20 ; If T 室内 ≤ T 室内设定20 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定24 , wherein T 面部设定23 < T 面部设定24 ; If T 面部 ≤ T 面部设定24 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定25 , wherein T 面部设定25 < T 面部设定24 ; If T 面部 ≤ T 面部设定25 , it is determined that the target temperature determination branch is a forty-third temperature determination branch, and an output value corresponding to the forty-third temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a warm bias output value. Therefore, the target user's warm-cold sensation state is warm bias. if T 面部 ≤ T 面部设定25 , the target temperature determination branch is determined as the forty-fourth temperature determination branch, and the output value corresponding to the forty-fourth temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value, and the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定24 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定26 , wherein T 面部设定24 < T 面部设定26 ; If T 面部 ≤ T 面部设定26 , it is determined that the target temperature determination branch is a forty-fifth temperature determination branch, and an output value corresponding to the forty-fifth temperature determination branch of the user individual temperature thermal sensation decision tree model is a heat bias output value, and the target user's thermal sensation state is heat bias; If T 面部 ≤ T 面部设定26 , it is determined that the target temperature determination branch is a forty-sixth temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the forty-sixth temperature determination branch is a neutral output value.
13. The air conditioner of claim 12, wherein The controller is also configured to: If T 室内 ≤ T 室内设定20 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定27 , wherein T 面部设定27 < T 面部设定26 ; If T 面部 ≤ T 面部设定27 , it is determined that the target temperature determination branch is the forty-seventh temperature determination branch, and the output value corresponding to the forty-seventh temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value, so that the thermal sensation state of the target user is neutral. if T 面部 ≤ T 面部设定27 , the target temperature determination branch is determined as the forty-eighth temperature determination branch, and the output value corresponding to the forty-eighth temperature determination branch of the user individual temperature thermal sensation decision tree model is obtained as a neutral output value, and the thermal sensation state of the target user is neutral.
14. The air conditioner according to any one of claims 1 to 13, characterized by The controller is also configured to: If the target user's perceived temperature is determined to be on the colder side, then the currently set target temperature is increased. If the target user's temperature sensitivity is determined to be neutral, then the currently set target temperature is maintained. If the target user's perceived temperature is determined to be on the warmer side, then the currently set target temperature is lowered.
15. The air conditioner according to any one of claims 1 to 13, wherein The controller is also configured to: 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 heating mode, and the target user's thermal sensation state is determined to be too hot for the preset number of times in succession, then the indoor fan speed of the air conditioner is reduced; If the air conditioner is in cooling mode, and the target user's thermal sensation state is determined to be too cold for the preset number of times in succession, then the indoor fan speed of the air conditioner is reduced; If the air conditioner is in cooling mode, and the target user's thermal sensation state is determined to be too hot for the preset number of times in succession, then the indoor fan speed of the air conditioner is increased.
16. The air conditioner of claim 1, wherein The controller is further configured to: Periodically input the face temperature and the indoor environment temperature into the user individual thermal sensation decision tree model to obtain a preset number of output values output by the user individual thermal sensation decision tree model, statistically and classify the preset number of output values, and take the thermal sensation state corresponding to the output values in the classification containing the most output values as the target user's thermal sensation state.
17. A control method of an air conditioner, characterized by, Comprise: Receiving a face temperature and an indoor environment temperature of a target user; Inputting the face temperature and the indoor environment temperature into a user individual thermal sensation decision tree model, determining a target user's thermal sensation state according to an output value of the user individual thermal sensation decision tree model, adjusting a current set target temperature according to the thermal sensation state, and controlling the air conditioner to operate according to the adjusted target temperature, wherein the user individual thermal sensation decision tree model is configured with at least six layers of temperature decision condition sets, and the at least six layers of temperature decision condition sets constitute a plurality of temperature judgment branches, wherein the first layer of temperature decision condition set comprises a decision condition based on the face temperature, the second layer of temperature decision condition set comprises a decision condition based on the face temperature and the indoor environment temperature, the third layer of temperature decision condition set comprises a decision condition based on two face temperatures and two indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on five face temperatures and three indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on seven face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on eleven face temperatures and nine indoor environment temperatures; Determining a target user's thermal sensation state according to an output value of the user individual thermal sensation decision tree model; Adjusting a current set target temperature according to the thermal sensation state, and controlling the air conditioner to operate according to the adjusted target temperature; The determination of the target user's thermal sensation state comprises comparing the face temperature and the indoor environment temperature with the plurality of temperature judgment branches constituted by the at least six layers of temperature decision condition sets in the user individual thermal sensation decision tree model to determine a target temperature judgment branch, obtaining an output value of the user individual thermal sensation decision tree model corresponding to the target temperature judgment branch, and taking the thermal sensation state corresponding to the output value as the target user's thermal sensation state; The determination of the target user's thermal sensation state according to the output value of the user individual thermal sensation decision tree model comprises: determining whether the face temperature satisfies T 面部 ≤ T 面部设定1 ; If T 面部 ≤ T 面部设定1 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定1 ; If T 室内 ≤ T 室内设定1 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定2 , wherein T 面部设定2 <T 面部设定1 ; If T 面部 ≤ T 面部设定2 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定3 , wherein T 面部设定3 <T 面部设定1 ; If T 面部 ≤ T 面部设定3 , the target temperature determination branch is determined to be a first temperature determination branch, and the output value of the user individual temperature cold and warm feeling decision tree model corresponding to the first temperature determination branch is a cold bias output value. Therefore, the cold and warm feeling state of the target user is cold bias. If T 面部 ≤ T 面部设定3 , then further determine whether T 室内 ≤ T 室内设定2 , wherein T 室内设定2 < T 室内设定1 ; If T 室内 ≤T 室内设定2 , then further determine whether the indoor environment temperature T 室内 ≤T 室内设定3 , wherein T 室内设定3 <T 室内设定2 ; If T 室内 ≤ T 室内设定3 , it is determined that the target temperature determination branch is a second temperature determination branch, and an output value corresponding to the second temperature determination branch of the user individual temperature cold and warm feeling decision tree model is a cold bias output value. Therefore, the target user's cold and warm feeling state is cold bias. If T 室内 ≤ T 室内设定3 , it is determined that the target temperature determination branch is a third temperature determination branch, and an output value corresponding to the third temperature determination branch of the user individual temperature thermal sensation decision tree model is a cold bias output value. Therefore, the target user's thermal sensation state is cold bias. If T 室内 ≤ T 室内设定2 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定4 , wherein T 面部设定3 < T 面部设定4 ; If T 面部 ≤ T 面部设定4 , it is determined that the target temperature determination branch is a fourth temperature determination branch, and the output value corresponding to the fourth temperature determination branch of the user individual temperature thermal sensation decision tree model is a neutral output value. Therefore, the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定4 , it is determined that the target temperature determination branch is a fifth temperature determination branch, and an output value corresponding to the fifth temperature determination branch of the user individual temperature thermal sensation decision tree model is a cold bias output value. Therefore, the target user's thermal sensation state is cold bias.
Citation Information
Patent Citations
Air conditioner and control method thereof
CN115031377A