Air conditioner and control method thereof
By employing a user-specific temperature and cold sensation decision tree model in air conditioners using big data and artificial intelligence technologies, and combining facial and indoor ambient temperatures, the operating parameters of the air conditioner are adjusted. This solves the problem that air conditioners cannot meet individual differences in comfort and achieves personalized thermal comfort control.
Patent Information
- Application Number
- CN202411046851.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 and personalized comfort requirements.
By employing a user-specific temperature and coolness decision tree model built on big data and artificial intelligence technologies, the system adjusts the air conditioner's operating parameters to meet the individual user's temperature and coolness requirements, thereby achieving personalized comfort control.
By taking into account the individual user's facial temperature and indoor ambient temperature, the air conditioner can accurately identify the user's thermal comfort needs, improving the personalized and differentiated comfort needs of users and meeting the individual differences of different users.
Smart Images

Figure CN120043193B_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 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, so as to meet the comfort needs of most groups.
[0004] However, due to the difference in individual comfort needs, the single temperature and single humidity index adjustment 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 is 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 warm and cold 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 warm and cold sensation state, and control the air conditioner to run 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, the third layer of temperature decision condition set comprises a decision condition based on one face temperature and three indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on four face temperatures and four indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on eight face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on nine face temperatures and eight 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-cold sensation decision tree model, determining the temperature-cold sensation state of the target user according to the output value of the user individual temperature-cold sensation decision tree model, adjusting the current set target temperature according to the temperature-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-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, the third layer of temperature decision condition set comprises a decision condition based on one face temperature and three indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on four face temperatures and four indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on eight face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on nine face temperatures and eight indoor environment temperatures; the current set target temperature is adjusted according to the temperature-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 of the PMV (Predicted Mean Vote) predicted comfort model based on the general population weakening the individual difference by adjusting the target temperature based on the user individual temperature-cold sensation decision tree model established based on big data and artificial intelligence technology, and not only considering that the face temperature of the user individual can experience the current temperature-cold sensation of the user, but also considering that the indoor environment temperature also affects the temperature-cold experience of the user, therefore, the air conditioner inputs the face temperature and the indoor environment temperature into the user individual temperature-cold sensation decision tree model, so as to meet the temperature-cold sensation comfort of the target user individual, improve the individualization and differentiation needs of the user individual, and improve the comfort of the air conditioner.
[0010] Additional aspects and advantages of the present disclosure will be made apparent from the following description, which, taken in conjunction with the accompanying drawings, that part will be evident from the following description, or 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 be limiting of the embodiments, the drawings show embodiments in which like reference numerals refer to like elements, and in which:
[0012] Figure 1is 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 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 a 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 a 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 a 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 a 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 schematic diagram of a partial configuration of a user individual temperature and cold feeling decision tree model according to still another embodiment of the present disclosure;
[0020] Figure 9 is a schematic diagram of a partial configuration of a user individual temperature and cold feeling decision tree model according to still another embodiment of the present disclosure;
[0021] Figure 10 is a flowchart of overall operation logic of air conditioner comfort control according to an embodiment of the present disclosure;
[0022] Figure 11 is a flowchart of running a user individual comfort mode according to an embodiment of the present disclosure;
[0023] Figure 12 is a schematic diagram of an addressing process in a refrigeration mode according to an embodiment of the present disclosure;
[0024] Figure 13 is a schematic diagram of an addressing process in a heating mode according to an embodiment of the present disclosure;
[0025] Figure 14 is a flowchart of a control method of a TMS comfort mode according to an embodiment of the present disclosure;
[0026] Figure 15is a schematic view of a humidity change curve according to one embodiment of the disclosure;
[0027] Figure 16 is a method for indoor fan comfort control when an operation mode of an air conditioner is a cooling mode according to one embodiment of the disclosure. DETAILED DESCRIPTION
[0028] In order to be able to more fully understand the features and technical content of the embodiments of the disclosure, the implementation of the embodiments of the disclosure will be described in detail below with reference to the drawings, which are only used for reference and do not limit the embodiments of the 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 disclosure, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the disclosure.
[0029] The air conditioner in the 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 Figure 1 is a schematic view of a refrigeration cycle system of an air conditioner according to one embodiment of the disclosure.
[0030] 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.
[0031] 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.
[0032] 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.
[0033] 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.
[0034] To improve the comfort of individual users, the performance of an air conditioner is improved in embodiments of the present disclosure, and an air conditioner and a control method thereof are provided to meet the comfort needs of different individual users.
[0035] Reference is made below to Figures 2-16 An air conditioner according to embodiments of the present disclosure is described.
[0036] As Figure 2 shown in a block diagram of an air conditioner according to an embodiment of the present disclosure, the air conditioner 1 of embodiments of the present disclosure includes a human body temperature detection device 10, an indoor temperature detection device 20, and a controller 30, and of course, other air conditioner system components such as Figure 1 a refrigerant circulation system as shown.
[0037] The human body temperature detection device 10 is configured to detect the facial temperature of a target user. In embodiments, the human body temperature detection device 10 can employ an infrared detection device such as an infrared camera to collect the temperature of the exposed part of the target user, such as the facial temperature.
[0038] The indoor temperature detection device 20 is configured to detect the indoor ambient temperature. Specifically, a temperature sensor can be provided on the indoor unit housing to collect the indoor air temperature, i.e., the indoor ambient temperature, or a temperature sensor can be provided at another location in the indoor environment, or the indoor ambient temperature can be detected by an auxiliary device such as a smart robot, and the collected data of the indoor ambient temperature can be transmitted to the controller of the air conditioner.
[0039] The controller 30 is connected to the temperature collection device, and a user individual temperature and cold sensation decision tree model can be pre-stored in the controller 30. The model is pre-trained, generated, detected, and stored in the controller, and the controller can retrieve the model at any time when making relevant decisions.
[0040] In specific embodiments, the facial temperature includes forehead temperature, eye temperature, nose temperature, and cheek temperature; and 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 values of the forehead temperature, eye temperature, nose temperature, and cheek temperature within the preset time period, and perform weighted calculation on the average values of the forehead temperature, eye temperature, nose temperature, and cheek temperature to obtain the average facial temperature, wherein the weight of the forehead temperature average value > the weight of the eye temperature average value > the weight of the nose temperature average value > the weight of the cheek temperature average value.
[0041] The user individual temperature and cold sensation decision tree model is described below.
[0042] 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 demand, performs personalized thermal comfort control, and meets the differentiated and personalized thermal comfort control requirements of different user individuals.
[0043] 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
[0044] 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 sensation, metabolic rate, clothing thermal resistance, and environmental state, etc.
[0045] Secondly, model training is performed. The training data model is screened 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.
[0046] Thirdly, the model is generated. Specifically, the optimal model output of the training is selected.
[0047] 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%.
[0048] In the embodiments, the user individual temperature and cold sensation decision tree model meeting the expectation 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 the facial temperature, the second layer of temperature decision condition set includes a decision condition based on the facial temperature, the third layer of temperature decision condition set includes a decision condition based on one facial temperature and three indoor environment temperatures, the fourth layer of temperature decision condition set includes a decision condition based on four facial temperatures and four indoor environment temperatures, the fifth layer of temperature decision condition set includes a decision condition based on eight facial temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set includes a decision condition based on nine facial temperatures and eight indoor environment temperatures. For example, Figures 4-9 respectively, are schematic diagrams of parts of a user individual thermal sensation decision tree model according to an embodiment of the present disclosure, which model morphology is similar to a tree, the left branch represents a true judgment, the right branch represents a false judgment, and 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-six temperature judgment branches composed of the at least six layers of temperature decision condition sets, and 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, i.e., the output value of the user individual thermal sensation decision tree model, can be -1 (cold), 0 (neutral), or 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.
[0049] It can be understood that, Figures 4-9 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 decision tree models that meet the expectations and are applicable can also be used based on the results of model training optimization and testing.
[0050] 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 by the air conditioner 1, 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.
[0051] 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.
[0052] 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.
[0053] Specifically, when air conditioner 1 operates in the user's individual comfort mode, for example, when there is only one person in the room, the human body temperature detection device 10 collects the target user's facial temperature in real time, the indoor temperature detection device 20 collects the indoor ambient temperature in real time, and the controller 30 receives the temperature data and calls the user's individual temperature and coolness decision tree model. It compares the facial temperature and indoor ambient temperature with the temperature decision conditions at each level of the multiple temperature decision branches in the user's individual temperature and coolness decision tree model to determine the target temperature decision branch. Each temperature decision branch in the model executes independently, obtaining the output value of the target temperature decision branch corresponding to the user's individual temperature and coolness decision tree model. The temperature and coolness state corresponding to the output value is taken as the target user's temperature and coolness state. For example, an output value of -1 indicates the user feels cold; an output value of 0 indicates the user is neither hot nor cold (neutral); and an output value of 1 indicates the user feels hot. Then, the target temperature is adjusted according to the user's current temperature and coolness state, and the compressor frequency, fan speed, and air guide direction of the air conditioner are adjusted according to the adjusted target temperature, thereby improving user comfort and meeting the user's personalized comfort needs.
[0054] The following reference Figures 4-9 The user's individual temperature and coldness decision tree model is shown to illustrate the process by which the controller 30 identifies the user's temperature and coldness state.
[0055] After the user activates the individual comfort model, the controller 30 acquires the facial temperature using T. 面部 Indoor ambient temperature is represented by T. 室内 Indicate, and will T 面部 and T 室内 Input user's individual temperature / coolness decision tree model, for example Figures 4-9 The tree model compares the temperature value with the temperature decision conditions in the model. Each temperature decision branch is executed independently until the model's output value is obtained, and the user's current temperature feeling state is determined based on the output value.
[0056] like Figures 4-9 As shown, each temperature determination branch is explained. In this embodiment, the user-specific temperature and coolness decision tree model uses facial temperature as the first-level temperature decision condition, facial temperature as the second-level temperature decision condition, and different branches below that use different temperature determination conditions for identification. Specifically, in this embodiment, facial temperature and indoor ambient temperature have different temperatures under different decision conditions in the user-specific temperature and coolness decision tree model. For example, the threshold values for each decision condition of facial temperature are between 31.86℃ and 337.27℃, and the threshold values for each decision condition of indoor ambient temperature are between 16.10℃ and 30.35℃.
[0057] In some embodiments, such as 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 8 As shown. If T is satisfied... 面部 ≤T 面部设定1 Then, further determine whether the facial temperature T is satisfied. 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 satisfied 面部 ≤T 面部设定2 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定1 If T is not satisfied 面部 ≤T 面部设定2 Then proceed to step ②, see details below. Figure 6 As shown. If T is satisfied... 室内 ≤T 室内设定1 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定3 , among which, T 面部设定3 <T 面部设定2 If T is not satisfied 室内 ≤T 室内设定1 Then proceed to step ③, see details below. Figure 5 As shown.
[0058] If T is satisfied 面部 ≤T 面部设定3 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定4 , among which, T 面部设定4 <T 面部设定3 If T is satisfied 面部 ≤T 面部设定4 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 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.
[0059] If T is not satisfied 室内 ≤T 室内设定2If 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.
[0060] If T is not satisfied 面部 ≤T 面部设定4 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2 <T 室内设定3 If T is 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.
[0061] If T is not satisfied 室内 ≤T 室内设定3 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.
[0062] 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3 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定5 , among which, T 面部设定3 <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 , among which, T 室内设定3 <T 室内设定4 If T is satisfied 室内 ≤T 室内设定4If 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.
[0063] If T is not satisfied 室内 ≤T 室内设定4 If the target temperature determination branch is determined to be the sixth temperature determination branch, and the output value of the sixth 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.
[0064] If T is not satisfied 面部 ≤T 面部设定5 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定6 , among which, T 面部设定5 =T 面部设定6 If T is satisfied 面部 ≤T 面部设定6 If the target temperature determination branch is determined to be the seventh temperature determination branch, and the output value of the seventh 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 currently set target temperature will be increased to improve the user's perceived temperature and improve comfort.
[0065] If T is not satisfied 面部 ≤T 面部设定6 If the target temperature determination branch is determined to be the eighth temperature determination branch, and the output value of the eighth 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 currently set target temperature will be increased to improve the user's perceived temperature and improve comfort.
[0066] 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 ③, which specifically includes: determining whether the indoor ambient temperature T is met. 室内 ≤T 室内设定5 , among which, T 室内设定1 <T 室内设定5 If T is satisfied 室内 ≤T 室内设定5 Then, further determine whether the facial temperature T is satisfied.面部 ≤T 面部设定7 , among which, T 面部设定4 <T 面部设定7 If T is satisfied 面部 ≤T 面部设定7 If the target temperature determination branch is determined to be the ninth temperature determination branch, the output value of the ninth 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.
[0067] If T is not satisfied 面部 ≤T 面部设定7 If the target temperature determination branch is determined as the tenth temperature determination branch, and 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 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 currently set target temperature can be maintained, meaning the air conditioner can currently meet the user's individual comfort needs.
[0068] 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6 , among which, T 室内设定5 <T 室内设定6 If T is satisfied 室内 ≤T 室内设定6 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.
[0069] If T is not satisfied 室内 ≤T 室内设定6 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 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.
[0070] 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2If yes, the process ② is executed, specifically comprising: further determining whether the indoor environment temperature T 室内 ≤T 室内设定7 , wherein T 室内设定1 <T 室内设定7 ; if T 室内 ≤T 室内设定7 , further determining whether the indoor environment temperature T 室内 ≤T 室内设定8 , wherein T 室内设定8 <T 室内设定7 ; if T 室内 ≤T 室内设定7 , the process ④ is entered, specifically referring to the process shown in Figure 7 ; if T 室内 ≤T 室内设定8 , further determining whether the face temperature T 面部 ≤T 面部设定8 , wherein T 面部设定2 <T 面部设定8 ; if T 面部 ≤T 面部设定8 , further determining whether the face temperature T 面部 ≤T 面部设定9 , wherein T 面部设定9 <T 面部设定8 ; if T 面部 ≤T 面部设定9 , it is determined that the target temperature determination branch is the 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.
[0071] If T 面部 ≤T 面部设定9 , it is determined that the target temperature determination branch is the 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.
[0072] If T 面部 ≤T 面部设定8 , further determining whether the face temperature T 面部 ≤T 面部设定10 , wherein T 面部设定8 <T 面部设定10 ; if T 面部 ≤T 面部设定10If the target temperature determination branch is determined to be the fifteenth temperature determination branch, and the output value of the fifteenth 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 increase comfort.
[0073] If T is not satisfied 面部 ≤T 面部设定10 If 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.
[0074] In some embodiments, such as Figure 6 As shown, controller 30 is configured to: if T is not satisfied 室内 ≤T 室内设定8 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8 <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 satisfied. 面部 ≤T 面部设定11 , among which, T 面部设定10 <T 面部设定11 If T is satisfied 面部 ≤T 面部设定11 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.
[0075] If T is not satisfied 面部 ≤T 面部设定11 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.
[0076] If T is not satisfied 室内 ≤T 室内设定9Then, 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9 <T 室内设定10 If T is satisfied 室内 ≤T 室内设定10 If the target temperature decision branch is determined to be the nineteenth temperature decision branch, and the output value of the nineteenth temperature decision 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.
[0077] If T is not satisfied 室内 ≤T 室内设定10 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.
[0078] 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7 Then proceed to step ④, which specifically includes: determining whether the facial temperature T is met. 面部 ≤T 面部设定12 , among which, T 面部设定10 <T 面部设定12 If T is not satisfied 面部 ≤T 面部设定12 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.
[0079] If T is satisfied 面部 ≤T 面部设定12 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7 <T 室内设定11 If T is not satisfied 室内 ≤T 室内设定11If the target temperature decision branch is determined to be the twenty-second temperature decision branch, 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 "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.
[0080] If T is satisfied 室内 ≤T 室内设定11 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12 <T 室内设定11 If T is satisfied 室内 ≤T 室内设定12 If the target temperature decision branch is determined to be the 23rd temperature decision branch, and the output value of the corresponding 23rd 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 is lowered to reduce the user's perceived temperature and improve comfort.
[0081] If T is not satisfied 室内 ≤T 室内设定12 If the target temperature decision branch is determined to be the twenty-fourth temperature decision branch, 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 "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.
[0082] In some embodiments, such as Figure 8 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13 , among which, T 面部设定1 <T 面部设定13 If T is satisfied 面部 ≤T 面部设定13 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定13 , among which, T 室内设定1 <T 室内设定13 If T is not satisfied 面部 ≤T 面部设定13 Then proceed to step ⑤, see details below. Figure 9 As shown. If T is satisfied... 室内 ≤T 室内设定13 Then, it is further determined whether the indoor ambient temperature T is met.室内 ≤T 室内设定14 , wherein T 室内设定14 <T 室内设定13 ; if T 室内 ≤T 室内设定14 , it is determined that the target temperature judgment branch is the twenty-fifth temperature judgment branch, and the output value of the user individual thermal sensation decision tree model corresponding to the twenty-fifth temperature judgment 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, and at this time, the current set target temperature can be maintained, that is, the air conditioner can currently meet the user individual comfort requirement.
[0083] If T 室内 ≤T 室内设定14 , it is further determined whether the facial temperature T 面部 ≤T 面部设定14 , wherein T 面部设定14 <T 面部设定13 ; if T 面部 ≤T 面部设定14 , it is further determined whether the facial temperature T 面部 ≤T 面部设定15 , wherein T 面部设定15 <T 面部设定14 ; if T 面部 ≤T 面部设定15 , it is determined that the target temperature judgment branch is the twenty-sixth temperature judgment branch, and the output value of the user individual thermal sensation decision tree model corresponding to the twenty-sixth temperature judgment 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 body temperature and improve the comfort.
[0084] If T 面部 ≤T 面部设定15 , it is determined that the target temperature judgment branch is the twenty-seventh temperature judgment branch, and the output value of the user individual thermal sensation decision tree model corresponding to the twenty-seventh temperature judgment 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 body temperature and improve the comfort.
[0085] If T 面部 ≤T 面部设定14 , it is further determined whether the indoor environment temperature T 室内 ≤T 室内设定15 , wherein T 室内设定15 <T 室内设定14 ; if T 室内 ≤T 室内设定15If the target temperature decision branch is determined to be the 28th temperature decision branch, and the output value of the corresponding 28th 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.
[0086] If T is not satisfied 室内 ≤T 室内设定15 If the target temperature decision branch is determined to be the 29th temperature decision branch, and the output value of the 29th 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.
[0087] In some embodiments, such as Figure 8 As shown, controller 30 is configured to: if T is not satisfied 室内 ≤T 室内设定13 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定16 , among which, T 室内设定13 <T 室内设定16 If T is satisfied 室内 ≤T 室内设定16 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定16 , among which, T 面部设定16 <T 面部设定14 If T is satisfied 面部 ≤T 面部设定16 If the target temperature decision branch is determined to be the thirtieth temperature decision branch, and the output value of the corresponding thirtieth temperature decision 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.
[0088] If T is not satisfied 面部 ≤T 面部设定16 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定17 , among which, T 面部设定16 <T 面部设定17 If T is satisfied 面部 ≤T 面部设定17If the target temperature determination branch is determined to be the thirty-first temperature determination branch, the output value of the thirty-first 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.
[0089] If T is not satisfied 面部 ≤T 面部设定17 If the target temperature decision branch is determined to be the thirty-second temperature decision branch, and the output value of the thirty-second temperature decision branch corresponding to the user's individual temperature and coldness decision tree model is obtained as a "hot" output value (e.g., an output of 1), then the target user's temperature and coldness state is "hot". That is, if the user currently feels the temperature is too high, the currently set target temperature will be lowered to reduce the user's perceived temperature and improve comfort.
[0090] In some embodiments, such as Figure 8 As shown, controller 30 is configured to: if T is not satisfied 室内 ≤T 室内设定16 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16 <T 室内设定17 If T is not satisfied 室内 ≤T 室内设定17 If the target temperature decision branch is determined to be the 33rd temperature decision branch, and the output value of the corresponding 33rd 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 is lowered to reduce the user's perceived temperature and improve comfort.
[0091] 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 determination branch is determined to be the thirty-fourth temperature determination branch, the output value of the thirty-fourth 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.
[0092] If T is not satisfied 室内 ≤T 室内设定18If the target temperature decision branch is determined to be the 35th temperature decision branch, and the output value of the corresponding 35th temperature decision branch of 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.
[0093] In some embodiments, such as Figure 9 As shown, controller 30 is also configured to: if T is not satisfied 面部 ≤T 面部设定13 Then proceed to step ⑤, which specifically includes: determining whether the facial temperature T is met. 面部 ≤T 面部设定18 , among which, T 面部设定13 <T 面部设定18 If T is satisfied 面部 ≤T 面部设定18 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定19 , among which, T 面部设定19 <T 面部设定18 If T is satisfied 面部 ≤T 面部设定19 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定20 , among which, T 面部设定19 <T 面部设定20 If T is satisfied 面部 ≤T 面部设定20 Then, further determine whether the facial temperature T is satisfied. 面部 ≤T 面部设定21 , among which, T 面部设定21 <T 面部设定20 If T is 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, 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 "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.
[0094] If T is not satisfied 面部 ≤T 面部设定21 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 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.
[0095] If T is not satisfied 面部 ≤T 面部设定20 Then, it is further determined whether the indoor ambient temperature T is met. 室内 ≤T 室内设定19 , among which, T 室内设定15 <T 室内设定19 If T is satisfied 室内 ≤T 室内设定19 If 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.
[0096] If T is not satisfied 室内 ≤T 室内设定19 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.
[0097] In some embodiments, such as Figure 9 As shown, controller 30 is configured to: if T is not satisfied 面部 ≤T 面部设定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 If the target temperature decision branch is determined as the 40th temperature decision branch, and the output value of the corresponding 40th temperature decision 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.
[0098] If T is not satisfied 室内 ≤T 室内设定20 If 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 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] In some embodiments, such as Figure 9 As shown, controller 30 is configured to: if T is not 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22 , among which, T 面部设定22 <T 面部设定18 If T is not satisfied 面部 ≤T 面部设定22 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.
[0100] If T is satisfied 面部 ≤T 面部设定22 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23 <T 面部设定22 If T is satisfied 面部 ≤T 面部设定23 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24 <T 面部设定23 If T is satisfied 面部 ≤T 面部设定24 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.
[0101] If T is not satisfied 面部 ≤T 面部设定24 If the target temperature decision branch is determined to be the forty-fourth temperature decision branch, 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 "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.
[0102] In some embodiments, such as Figure 9 As shown, controller 30 is configured to: if T is not satisfied 面部 ≤T 面部设定23 Then, further determine whether the facial temperature T is met.面部 ≤T 面部设定25 , wherein T 面部设定23 <T 面部设定25 ; if T 面部 ≤T 面部设定25 , it is determined that the target temperature determination branch is a forty-fifth temperature determination branch, and the output value of the user individual temperature and cold sensation decision tree model corresponding to the forty-fifth temperature determination branch is a neutral output value, for example, 0, so that the temperature and cold 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] If T 面部 ≤T 面部设定25 , it is determined that the target temperature determination branch is a forty-sixth temperature determination branch, and the output value of the user individual temperature and cold sensation decision tree model corresponding to the forty-sixth temperature determination branch is a hot bias output value, for example, 1, so that the temperature and cold 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.
[0104] The above is the process of judging the temperature and cold sensation state of the user by using the user individual temperature and cold sensation decision tree model as shown in Figures 4-9 It can be understood that the user individual temperature and cold sensation recognition process of other models is similar to the above process, but the model level, temperature determination branch, and temperature decision condition of each node of each branch of the model are different from those of the model of the present disclosure.
[0105] Further, in some embodiments, in order to improve the accuracy of identifying the current temperature and cold sensation of the user based on the above user individual temperature and cold sensation decision tree model, the controller 30 is further configured to periodically input the face temperature and indoor environment temperature into the user individual temperature and cold sensation decision tree model to obtain a preset number of output values output by the user individual temperature and cold sensation decision tree model, and to statistically and classify the preset number of output values, and to take the temperature and cold sensation state corresponding to the output value in the classification containing the most output values as the temperature and cold sensation state of the target user. Thus, the accuracy of user individual temperature and cold sensation recognition can be improved, and the model can also learn by itself to be further optimized, further improve the accuracy of the recognition result, and form a virtuous cycle.
[0106] In some embodiments, the controller 30 is further configured to: increase the indoor fan speed of the air conditioner 1 if the target user's perceived temperature is too cold after a preset number of consecutive tests when the air conditioner 1 is in heating mode; decrease the indoor fan speed of the air conditioner 1 if the target user's perceived temperature is too hot after a preset number of consecutive tests when the air conditioner 1 is in heating mode; decrease the indoor fan speed of the air conditioner 1 if the target user's perceived temperature is too cold after a preset number of consecutive tests when the air conditioner 1 is in cooling mode; and increase the indoor fan speed of the air conditioner 1 if the target user's perceived temperature is too hot after a preset number of consecutive tests when the air conditioner 1 is in cooling mode. For example, the controller 30 uses a user's individual temperature perception decision tree model to perform three independent temperature perception judgment values (-1, 0, 1) respectively, and then performs statistical analysis. The temperature perception value with the most statistically significant values is the final output value for temperature perception judgment.
[0107] For example, such as Figure 10 The diagram shows a flowchart of the overall operation logic of the comfort control of an air conditioner according to an embodiment of this disclosure. If the controller 30 outputs a "hot" (1) result based on the user's individual temperature and coldness perception decision tree model, the controller 30 sends a cooling signal, lowering the set temperature by 1°C. If the controller 30 outputs a "cold" (-1) result based on the user's individual temperature and coldness perception decision tree model, the controller 30 sends a heating signal, raising the set temperature by 1°C. If the controller 30 outputs a "neutral" (0) result based on the user's individual temperature and coldness perception decision tree model, the controller 30 maintains the existing setting. Each judgment cycle is based on the air conditioner feedback time. If the temperature and coldness perception prediction is "cold" (or "hot") for three consecutive cycles, it is considered that the user's individual temperature and coldness perception is strong, and the fan speed needs to be increased by one level; otherwise, the air conditioner fan speed remains unchanged.
[0108] In some embodiments, the second aspect of the present disclosure also proposes a control method of an air conditioner, which can be executed by a controller of the air conditioner, and 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 and cold sensation decision tree model, determining a thermal sensation and cold sensation state of the target user according to an output value of the user individual thermal sensation and cold sensation decision tree model, adjusting a current set target temperature according to the thermal sensation and cold sensation state, and controlling the air conditioner to operate according to the adjusted target temperature, wherein the user individual thermal sensation and cold 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, the third layer of temperature decision condition set comprises a decision condition based on one face temperature and three indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on four face temperatures and four indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on eight face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on nine face temperatures and eight indoor environment temperatures; determining the thermal sensation and cold sensation state of the target user according to the output value of the user individual thermal sensation and cold sensation decision tree model; adjusting the current set target temperature according to the thermal sensation and cold sensation state, and controlling the air conditioner to operate according to the adjusted target temperature.
[0109] Of course, in embodiments, the control method of the air conditioner of the present disclosure can also include other contents executed by the controller of the air conditioner, such as how to obtain the face temperature specifically, and how to identify the current thermal sensation and cold sensation state of the user based on the user individual thermal sensation and cold sensation decision tree model, which are described above and will not be repeated here.
[0110] In summary, the present application uses artificial intelligence technology based on big data to establish a user individual thermal sensation and cold sensation decision tree model, self-learns the user thermal sensation and cold sensation change rule, accurately identifies the individual thermal comfort demand of the user, and performs personalized thermal comfort control to meet the differentiated and personalized comfort control requirements of different individual users. At the same time, the present application makes up for the deficiency of the PMV prediction comfort model based on the general population, which weakens the individual difference, so that the air conditioner 1 not only meets the comfort demand of the general population, but also realizes the personalized comfort demand of a single family user.
[0111] In the embodiments described above, for individual users, such as when there is only one user indoors, the user selects the individual comfort mode. Alternatively, if the air conditioner 1 detects that there is only one user indoors, it automatically activates the individual comfort mode. In this case, the air conditioner 1 can execute the individual comfort mode as described above to improve the individual user's comfort. However, when there are multiple people indoors, the air conditioner 1 will run a TMS (Therma and Humidity Management System) comfort mode based on a PMV predictive comfort model, which is suitable for the general population.
[0112] In some embodiments, when the air conditioner 1 is running automatically, it can activate the indoor user detection function to detect how many people are in the room. If there is only one person, it can automatically activate the individual user comfort mode, and if there are multiple people, it can run the TMS comfort mode.
[0113] For individual user comfort modes, such as Figure 11 As shown, when the air conditioner 1 is running, it activates the user's individual comfort mode, collects indoor temperature and humidity, 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's facial temperature and indoor ambient temperature and calls the user's individual temperature and coldness decision tree model. Then, it adjusts the target temperature according to the model output value, and then controls the air conditioner to run automatically based on the adjusted target temperature to meet the individual user's personalized comfort needs and improve user comfort.
[0114] The following section explains the TMS comfort mode based on the PMV predictive comfort model.
[0115] 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.
[0116] In embodiments, the TMS comfort mode firstly relies on the temperature and humidity target value addressing. The temperature and humidity addressing rule is based on the predicted mean vote (PMV) value calculation. A "comfort temperature and humidity benchmark table (PMV value in ±0.5)" is generated by calculation as a benchmark table for the air conditioner comfort control. The air conditioner detects the outdoor environment temperature Tout, the indoor environment temperature Tin, and the indoor relative humidity Rh through sensors. According to the obtained outer ring Tout, the corresponding temperature zone is entered, combined with the human body clothing thermal resistance clo and the human body activity metabolic rate M to obtain different temperature compensation values Tcomp, and the specific operation mode (cooling / heating / ventilation) of the air conditioner is judged. Then, according to the comfort temperature and humidity benchmark table, the obtained indoor relative humidity Rh is used as a pointer to address in the benchmark table to determine the target set temperature Ts_comfort in the stable comfort stage, and the air conditioner operates with Ts_comfort as the target set value.
[0117] In some embodiments, for the TMS comfort mode, the temperature and humidity addressing from the beginning always surrounds the PMV value six human body thermal sensation factors: environmental parameters (air temperature, air relative humidity, wind speed, and average radiation temperature) and human body parameters (human body activity intensity and clothing thermal resistance). The human body comfort control is the core, and the current industry practice mainly designs the comfort air conditioner through a single temperature index or uses a specified single temperature index + a specified single humidity index, which has obvious advantages.
[0118] Table 1 below is the name and meaning of each symbol in the TMS comfort mode description.
[0119] Table 1
[0120]
[0121]
[0122] 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 temperature zone is entered, and the next specific operation mode (cooling / heating / ventilation) is judged. Every 2 hours, according to the outer ring temperature Tout, a new operation temperature zone is determined. If it is still in the original operation temperature zone, the original mode and stage operation are continued; if it is in the new temperature zone, the original operation mode is interrupted, and a new specific sub-mode operation 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 relative humidity Rh is defaulted to 65%.
[0123] In some embodiments, according to the comfort temperature and humidity reference table, the Tout obtained 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, as follows.
[0124] Table 2: Comfort temperature and humidity reference table
[0125]
[0126]
[0127] Table 3: Temperature compensation value table
[0128] 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
[0129] In some embodiments, when the air conditioner is running in cooling mode, the addressing process is as follows, as shown in Figure 12
[0130] According to the reference comfort table in Table 3. If Rh < 30% (the lower limit of the comfort humidity in the comfort table), the lowest temperature corresponding to Rh 30% in the comfort table is Ts 初 (Ts 初 = 24.5℃); if Rh > 65% (the upper limit of the comfort humidity in the comfort table), the lowest temperature corresponding to Rh 65% in the comfort table is Ts 初 (Ts 初 = 23.5℃); if 65% ≥ Rh ≥ 30% (the upper and lower limits of the comfort humidity in the comfort table), the lowest temperature corresponding to the closest humidity in the comfort table is 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 (26.5℃) and the lower limit (24℃) of the comfort humidity corresponding to Rh = 50% in the comfort table is taken as Ts 舒 , which is 25.5℃ by default.
[0131] In some embodiments, when the air conditioner is running in heating mode, the addressing process is as follows, as shown in Figure 13
[0132] According to the reference comfort table in Table 3. If Rh < 30% (the lower limit of the comfort humidity in the comfort table), the highest temperature corresponding to Rh 30% in the comfort table is Ts 初 (Ts 初 = 27℃); if Rh > 65% (the upper limit of the comfort 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), 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 value (26.5 °C) and the lower limit value (24 °C) of the comfortable humidity corresponding to Rh = 50% in the comfort table is taken as Ts_comfort, and the default is 25.5 °C.
[0133] In some embodiments, when the air conditioner operates in the air supply mode, the air conditioner does not perform addressing.
[0134] The following takes the process of the air conditioner operating in the TMS comfort mode in the dehumidification and refrigeration modes as an example for illustration. [[ID=?]]
[0135] For example, as Figure 14 shown, Tout > 24 °C.
[0136] 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.
[0137] 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 TMS comfort mode operation stage). When E ≤ 0.5 °C and it accumulates for 5 minutes or (Tin - (Ts_ 舒 + T 补 )) ≤ -0.5 °C and it accumulates for 15 minutes, enter the stable dehumidification comfort stage / / (Tin - (Ts_ 舒 + T 补 )) ≤ -0.5 °C means that the set temperature of the initial comfort stage is not reached, but the set temperature of the stable comfort stage is reached.
[0138] Stable dehumidification comfort stage: Ts(1) = Ts_ 初 + T<000039s>+ 0.5 °C, increasing by 0.5 °C every 5 minutes, that is, Ts(n + 1) = Ts(n) + 0.5 °C, until Ts(n + 1) = Ts_ 舒 + T 补 Note: There seems to be a typo in the original text where "Ts_ <000039s> " should probably be "Ts_ 补 ". This has been corrected in the translation as much as possible while maintaining the original format., where n is a natural number greater than or equal to 1. / / Use a recursive increasing function to prevent the compressor from shutting down when the set temperature is reached due to a large set temperature change during stage conversion. When E ≤ -0.5°C and it lasts for 30 minutes (starting from Ts(n + 1) = Ts_comfort + T_compensation), enter the dehumidification healthy comfort stage.
[0139] Dehumidification healthy comfort stage: Ts(1) = Ts_ 舒 +T 补 + 0.5°C, increasing by 0.5°C every 5 minutes, that is, Ts(n + 1) = Ts(n) + 0.5°C, until Ts(n + 1) = Ts_ 节 +T 补 , where n is a natural number greater than or equal to 1. / / Use a recursive increasing function to prevent the compressor from shutting down when the set temperature is reached due to a large set temperature change during stage conversion.
[0140] ⑵ If Tin ≤ 28°C and Rh < 65%, enter the air supply mode.
[0141] 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_compensation value, and enter the initial refrigeration comfort stage.
[0142] Initial refrigeration comfort stage: Ts = Ts_ 初 +T 补 / / (The display shows Ts_ 初 +T 补 and there is an icon indicating the change in the TMS comfort mode operation stage), when E ≤ 0.5°C and accumulates for 5 minutes or (Tin - (Ts_ 初 +T 补 )) ≤ -0.5°C and accumulates for 15 minutes, enter the stable refrigeration comfort stage / / (Tin - (Ts_ 初 [[ID=?4]]+T 补 )) ≤ -0.5°C means that the set temperature of the initial comfort stage is not reached, but the set temperature of the stable comfort stage is reached.
[0143] Stable refrigeration comfort stage: Ts(1) = Ts_ 初 +T 补 + 0.5°C, increasing by 0.5°C every 5 minutes, that is, Ts(n + 1) = Ts(n) + 0.5°C, until Ts(n + 1) = Ts_ 舒 +T 补, n is a natural number greater than or equal to 1. / / The recursive incremental function is used to prevent the compressor from stopping when the temperature change is too large during the phase transition. 舒 + T 补 Start timing), enter the refrigeration health comfort phase.
[0144] Refrigeration health comfort phase: Ts(1) = Ts_ 舒 + T 补 + 0.5℃, increase by 0.5℃ every 5min, that is, Ts(n+1) = Ts(n) + 0.5℃, until Ts(n+1) = Ts_ 节 + T 补 , n is a natural number greater than or equal to 1. / / The recursive incremental function is used to prevent the compressor from stopping when the temperature change is too large during the phase transition.
[0145] In some embodiments, the indoor fan running state, the compressor running state and frequency, the electric heating running state, the horizontal air deflector, the vertical air deflector, etc. in the initial comfort, stable comfort, and health comfort phases of each mode are shown in Table 4.
[0146] Table 4: Control requirements table for each part of the air conditioner
[0147]
[0148]
[0149] In some embodiments, based on the humidity control and humidity retention theory (as shown in Table 5, Figure 15 ), an indoor fan comfort control method is proposed, which can better control and maintain the relative humidity of the indoor environment within the range of human comfortable humidity.
[0150] Table 5: Relationship between absolute dehumidification amount and indoor unit speed for 4h
[0151] Absolute dehumidification amount for 4 h 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
[0152] Based on the above humidity control and humidity retention theory, an indoor fan comfort control method is proposed, which can better control and maintain the relative humidity of the indoor environment within the range of human comfortable humidity. Referring to Figure 16 The indoor fan comfort control method of the air conditioner when the operation mode is the refrigeration mode is described.
[0153] 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 acquired.
[0154] Step S13, the indoor environment temperature Tin, the outdoor environment temperature Tout and the indoor environment relative humidity Rh are used to determine whether the air conditioner enters the cooling or dehumidifying mode.
[0155] Step S14, the air conditioner enters the cooling mode. Step S15, the indoor fan speed is controlled.
[0156] Step S16, it is judged whether the set temperature difference E is greater than a first set temperature, for example, 2℃, if yes, step S17 is executed; if no, step S18 is executed.
[0157] Step S17, the indoor fan is controlled to run at a first wind speed. Step S18, the indoor fan is controlled to run at a 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.
[0158] 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.
[0159] 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 S20 is executed; if no, step S22 is executed.
[0160] 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.
[0161] Step S23, the indoor fan is controlled to run at a third wind speed.
[0162] 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.
[0163] Step S25, the indoor fan is controlled to run at a fourth wind speed.
[0164] Through the above steps S11-S25, the user's use comfort can be ensured while reducing the energy consumption of the air conditioner.
[0165] The TMS comfort mode based on the PMV model of the embodiment of the present disclosure is described above.
[0166] 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 the general population, the influence of individual differences is weakened. In order to meet the personalized and differentiated thermal comfort needs of household air conditioners, especially individual users in the family, an artificial intelligence technology based on big data is used to establish a user individual thermal sensation decision tree model, to self-learn the user thermal sensation change rule, 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, which 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 individual family users.
[0167] The user individual thermal 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 thermal sensation prediction model based on skin temperature can achieve full automatic control without the need for personnel to adjust parameters in ideal conditions.
[0168] 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 precise 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 to operate based on the adjusted target temperature. The user-specific temperature and coldness decision tree model contains 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 two facial temperatures; the third layer includes decision conditions based on one facial temperature and three indoor ambient temperatures; the fourth layer includes decision conditions based on four facial temperatures and four indoor ambient temperatures; the fifth layer includes decision conditions based on eight facial temperatures and five indoor ambient temperatures; and the sixth layer includes decision conditions based on nine facial temperatures and eight 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 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 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3 , wherein T 面部设定3 <T 面部设定2 ; If T 面部 ≤ T 面部设定3 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定4 , wherein T 面部设定4 <T 面部设定3 ; If T 面部 ≤ T 面部设定4 , 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 , it is determined that the target temperature determination branch is a first temperature determination branch, and an output value corresponding to the first temperature determination branch of the user individual temperature cold and warm sensation decision tree model is a cold bias output value. Therefore, the target user's cold and warm sensation state is cold bias. If T 室内 ≤ T 室内设定2 , 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 面部 ≤ T 面部设定4 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定3 , wherein T 室内设定2 < T 室内设定3 ; 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 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 室内 ≤ T 室内设定3 , it is determined that the target temperature determination branch is a fourth temperature determination branch, and an 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.
2. The air conditioner of claim 1, wherein The controller is configured to: If T 面部 ≤ T 面部设定3 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定5 , wherein T 面部设定3 < T 面部设定5 ; If T 面部 ≤ T 面部设定5 , then further determine whether T 室内 ≤ T 室内设定4 , wherein T 室内设定3 < T 室内设定4 ; If T 室内 ≤ T 室内设定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. If T 室内 ≤ T 室内设定4 , 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 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5 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定6 , wherein T 面部设定5 = T 面部设定6 ; 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 corresponding to the seventh 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 , 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 thermal sensation decision tree model is a cold bias output value. Therefore, the target user's thermal sensation state is cold bias.
3. The air conditioner of claim 1, wherein The controller is configured to: If T 室内 ≤ T 室内设定1 , then further determine whether 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7 , wherein T 面部设定4 <T 面部设定7 ; 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 warm bias output value. Therefore, the target user's thermal sensation state is warm bias. if T 面部 ≤ T 面部设定7 , the target temperature determination branch is determined as a tenth temperature determination branch, and an output value corresponding to the tenth 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5 , then further determine whether T 室内 ≤ T 室内设定6 , where T 室内设定5 < T 室内设定6 ; If T 室内 ≤ T 室内设定6 , 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 室内 ≤ T 室内设定6 , it is determined that the target temperature determination branch is a twelfth temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the twelfth temperature determination branch is a neutral output value.
4. The air conditioner of claim 1, wherein The controller is configured to: If T 面部 ≤ T 面部设定2 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定7 , wherein T 室内设定1 < T 室内设定7 ; If T 室内 ≤ T 室内设定7 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定8 , wherein T 室内设定8 < T 室内设定7 ; If T 室内 ≤ T 室内设定8 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定8 , wherein T 面部设定2 <T 面部设定8 ; If T 面部 ≤ T 面部设定8 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定9 , wherein T 面部设定9 <T 面部设定8 ; If T 面部 ≤ T 面部设定9 , 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 面部 ≤ T 面部设定9 , 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8 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定10 , wherein T 面部设定8 < T 面部设定10 ; If T 面部 ≤ T 面部设定10 , 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10 , 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 configured to: If T 室内 ≤ T 室内设定8 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定9 , wherein T 室内设定8 < 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11 , wherein T 面部设定10 < T 面部设定11 ; If T 面部 ≤ T 面部设定11 , 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11 , 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9 , 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9 < T 室内设定10 ; If T 室内 ≤ T 室内设定10 , it is determined that the target temperature determination branch is the nineteenth temperature determination branch, and the output value corresponding to the nineteenth 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 室内 ≤ T 室内设定10 , 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 configured to: 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12 , wherein T 面部设定10 < T 面部设定12 ; if T 面部 ≤ T 面部设定12 , the target temperature determination branch is determined as a twenty-first temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the twenty-first temperature determination branch is neutral, then the target user's thermal sensation state is neutral. If T 面部 ≤ T 面部设定12 , 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7 < T 室内设定11 ; if T 室内 ≤ T 室内设定11 , the target temperature determination branch is determined as a twenty-second temperature determination branch, and an output value corresponding to the twenty-second temperature determination branch of the user individual temperature thermal sensation decision tree model is a warm bias output value, and the target user's thermal sensation state is warm bias; If T 室内 ≤ T 室内设定11 , then further determine whether T 室内 ≤ T 室内设定12 , wherein T 室内设定12 < T 室内设定11 ; If T 室内 ≤ T 室内设定12 , it is determined that the target temperature determination branch is a twenty-third temperature determination branch, and an output value corresponding to the twenty-third temperature determination branch of the user individual temperature thermal sensation decision tree model is a warm bias output value. Therefore, the target user has a warm bias thermal sensation. If T 室内 ≤ T 室内设定12 , 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 thermal sensation decision tree model is a heat bias output value. Therefore, the target user has a heat bias thermal sensation.
7. The air conditioner of claim 1, wherein The controller is configured to: if T 面部 ≤ T 面部设定1 , then further determine whether T 面部 ≤ T 面部设定13 , wherein T 面部设定1 < T 面部设定13 ; If T 面部 ≤ T 面部设定13 , 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1 < T 室内设定13 ; If T 室内 ≤ T 室内设定13 , then it is further determined whether the indoor environment temperature T 室内 ≤ T 室内设定14 , wherein T 室内设定14 < T 室内设定13 ; if T 室内 ≤ T 室内设定14 , the target temperature determination branch is determined as a twenty-fifth temperature determination branch, and an output value corresponding to the twenty-fifth 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14 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定14 , wherein T 面部设定14 < T 面部设定13 ; If T 面部 ≤ T 面部设定14 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定15 , wherein T 面部设定15 < T 面部设定14 ; If T 面部 ≤ T 面部设定15 , it is determined that the target temperature determination branch is a twenty-sixth temperature determination branch, and an output value corresponding to the twenty-sixth temperature determination branch of the user individual temperature warm-cold sensation decision tree model is a cold bias output value, so that the target user has a cold bias warm-cold sensation state. if T 面部 ≤ T 面部设定15 , then it is determined that the target temperature determination branch is a twenty-seventh temperature determination branch, and an output value corresponding to the twenty-seventh 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14 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定15 , wherein T 室内设定15 < T 室内设定14 ; If T 室内 ≤ T 室内设定15 , the target temperature determination branch is determined as a twenty-eighth temperature determination branch, and the 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, and the thermal sensation state of the target user is neutral. If T 室内 ≤ T 室内设定15 , it is determined that the target temperature determination branch is 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 a neutral output value, and the thermal sensation state of the target user is neutral.
8. The air conditioner of claim 7, wherein The controller is configured to: If T 室内 ≤ T 室内设定13 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定16 , wherein T 室内设定13 < T 室内设定16 ; If T 室内 ≤ T 室内设定16 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定16 , wherein T 面部设定16 < T 面部设定14 ; If T 面部 ≤ T 面部设定16 , it is determined that the target temperature determination branch is the thirtieth temperature determination branch, and the output value corresponding to the thirtieth 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16 , then further determine whether T 面部 ≤ T 面部设定17 , wherein T 面部设定16 < T 面部设定17 ; If T 面部 ≤ T 面部设定17 , 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 hot-cold decision tree model corresponding to the thirty-first temperature determination branch is a hot bias output value. Therefore, the target user's hot-cold state is hot bias. If T 面部 ≤ T 面部设定17 , it is determined that the target temperature determination branch is a thirty-second temperature determination branch, and an output value of the user individual temperature thermal sensation decision tree model corresponding to the thirty-second temperature determination branch is a warm bias output value. Therefore, the target user's thermal sensation state is warm bias.
9. The air conditioner of claim 8, wherein The controller is configured to: If T 室内 ≤ T 室内设定16 , then further determine whether T 室内 ≤ T 室内设定17 , wherein T 室内设定16 < T 室内设定17 ; if T 室内 ≤ T 室内设定17 , 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 a warm bias output value, and the target user's thermal sensation state is warm bias; 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-fourth temperature determination branch, and an output value corresponding to the thirty-fourth temperature determination branch of the user individual temperature thermal sensation decision tree model is a heat bias output value, so that the thermal sensation state of the target user is heat bias; If T 室内 ≤ T 室内设定18 , it is determined that the target temperature determination branch is a thirty-fifth temperature determination branch, and an output value corresponding to the thirty-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.
10. The air conditioner of claim 7, wherein The controller is configured to: If T 面部 ≤ T 面部设定13 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定18 , wherein T 面部设定13 < T 面部设定18 ; 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 face temperature T 面部 ≤ T 面部设定20 , wherein T 面部设定19 < T 面部设定20 ; If T 面部 ≤ T 面部设定20 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定21 , wherein T 面部设定21 < T 面部设定20 ; If T 面部 ≤ T 面部设定21 , it is determined that the target temperature determination branch is a thirty-sixth temperature determination branch, and an output value of the user individual temperature warm-cold sensation decision tree model corresponding to the thirty-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21 , then determining that the target temperature determination branch is a thirty-seventh temperature determination branch, and obtaining an output value corresponding to the thirty-seventh temperature determination branch of the user individual temperature thermal sensation decision tree model as 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20 , then further determine whether the indoor environment temperature T 室内 ≤ T 室内设定19 , wherein T 室内设定15 < T 室内设定19 ; If T 室内 ≤ T 室内设定19 , it is determined that the target temperature determination branch is a thirty-eighth temperature determination branch, and an output value corresponding to the thirty-eighth temperature determination branch of the user individual temperature thermal sensation decision tree model is a heat bias output value, so that the thermal sensation state of the target user is heat bias; If T 室内 ≤ T 室内设定19 , it is determined that the target temperature determination branch is the thirty-ninth temperature determination branch, and the output value of the user individual temperature hot-cold decision tree model corresponding to the thirty-ninth temperature determination branch is a heat bias output value, and the target user's hot-cold state is heat bias.
11. The air conditioner of claim 10, wherein The controller is configured to: 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20 , wherein T 室内设定19 < T 室内设定20 ; If T 室内 ≤ T 室内设定20 , the target temperature determination branch is determined as 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 neutral, and the thermal sensation state of the target user is neutral. If T 室内 ≤ T 室内设定20 , it is determined that the target temperature determination branch is the forty-first temperature determination branch, and the output value corresponding to the forty-first 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 10, wherein The controller is configured to: 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22 , wherein T 面部设定22 < T 面部设定18 ; if T 面部 ≤ T 面部设定22 , the target temperature determination branch is determined as 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 obtained as a neutral output value. Thus, the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定22 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定23 , wherein T 面部设定23 < T 面部设定22 ; If T 面部 ≤ T 面部设定23 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定24 , wherein T 面部设定24 < T 面部设定23 ; If T 面部 ≤ T 面部设定24 , 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24 , it is determined that the target temperature determination branch is the forty-fourth temperature determination branch, and the output value of the user individual temperature thermal sensation decision tree model corresponding to the forty-fourth temperature determination branch is a heat bias output value, so the thermal sensation state of the target user is heat bias.
13. The air conditioner of claim 11, wherein The controller is configured to: If T 面部 ≤ T 面部设定23 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定25 , wherein T 面部设定23 < T 面部设定25 ; If T 面部 ≤ T 面部设定25 , 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 neutral output value, and the thermal sensation state of the target user is neutral. If T 面部 ≤ T 面部设定25 , 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 heat bias output value. Therefore, the target user has a heat bias thermal sensation.
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 according to claim 1, characterized in that, 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, the third layer of temperature decision condition set comprises a decision condition based on one face temperature and three indoor environment temperatures, the fourth layer of temperature decision condition set comprises a decision condition based on four face temperatures and four indoor environment temperatures, the fifth layer of temperature decision condition set comprises a decision condition based on eight face temperatures and five indoor environment temperatures, and the sixth layer of temperature decision condition set comprises a decision condition based on nine face temperatures and eight 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 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 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3 , wherein T 面部设定3 <T 面部设定2 ; If T 面部 ≤ T 面部设定3 , then it is further determined whether the face temperature T 面部 ≤ T 面部设定4 , wherein T 面部设定4 <T 面部设定3 ; If T 面部 ≤ T 面部设定4 , 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 , 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 室内 ≤ T 室内设定2 , 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 target user's thermal sensation state is cold bias. If T 面部 ≤ T 面部设定4 , then further determine whether T 室内 ≤ T 室内设定3 , wherein T 室内设定2 < T 室内设定3 ; 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 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 室内 ≤ T 室内设定3 , it is determined that the target temperature determination branch is a fourth temperature determination branch, and an 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.
Citation Information
Patent Citations
Air conditioner and control method thereof
CN115031377A