Air conditioner and parameter control method of air conditioner

Abstract

The embodiment of the invention relates to an air conditioner, a parameter control method of the air conditioner and a controller of the air conditioner. The controller of the air conditioner is configured to obtain a first face area temperature corresponding to a target user and obtain a first indoor environment temperature; a temperature sensing result corresponding to the target user is determined through a temperature sensing recognition model according to the first face area temperature and the first indoor environment temperature; a first-layer decision condition of the temperature sensing recognition model is whether the indoor environment temperature is smaller than or equal to a first environment temperature threshold value, and a second-layer decision condition of the temperature sensing recognition model comprises whether the cheek temperature is smaller than or equal to a first cheek temperature threshold value and whether the forehead temperature is smaller than or equal to a first forehead temperature threshold value; and according to the working mode of the air conditioner and the temperature sensing result of each user, target operation parameters of the air conditioner are determined. According to the air conditioner, the operation parameters of the air conditioner can be accurately and intelligently adjusted, and therefore the comfort requirement of a user is met.

Description

Technical Field

[0001] The present application relates to the field of household appliance technology, and in particular to an air conditioner and a parameter control method for the air conditioner. Background Art

[0002] With the continuous improvement of people's living standards, air conditioners have become an indispensable household appliance in modern life. The main function of an air conditioner is to provide users with a comfortable indoor environment by regulating the indoor temperature. Currently, air conditioner parameter adjustment mainly relies on users to manually set the temperature or use smart modes. The low level of intelligence of air conditioners affects the user experience. Summary of the Invention

[0003] The embodiments of the present application disclose an air conditioner and a parameter control method for the air conditioner, which can accurately and intelligently adjust the operating parameters of the air conditioner to meet the user's comfort requirements and improve the user's usage experience.

[0004] The embodiment of the present application discloses an air conditioner, comprising:

[0005] a refrigerant circulation circuit, comprising a compressor, an outdoor heat exchanger, and an indoor heat exchanger connected in sequence, wherein the refrigerant circulation circuit is configured to circulate the refrigerant;

[0006] a temperature sensor configured to collect an indoor ambient temperature corresponding to the indoor environment in which the air conditioner is located;

[0007] An infrared sensor is configured to collect a facial area temperature corresponding to at least one user in the indoor environment; the facial area temperature includes a cheek temperature and a forehead temperature;

[0008] The controller is configured as:

[0009] Acquiring a first facial area temperature corresponding to a target user collected by the infrared sensor, and acquiring a first indoor environment temperature collected by the temperature sensor; the target user is any user in the indoor environment;

[0010] The first facial region temperature and the first indoor ambient temperature are input into a temperature perception recognition model, and a temperature perception result corresponding to the target user is determined by the temperature perception recognition model based on the first facial region temperature and the first indoor ambient temperature; a first-level decision condition of the temperature perception recognition model is whether the indoor ambient temperature is less than or equal to a first ambient temperature threshold, and a second-level decision condition of the temperature perception recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold; the temperature perception result includes a temperature perception category, and the temperature perception category includes a first temperature perception, a second temperature perception, or a third temperature perception, the first temperature perception indicating that the user's temperature perception is cold, the second temperature perception indicating that the user's temperature perception is hot, and the third temperature perception indicating that the user's temperature perception is neutral;

[0011] The target operating parameters corresponding to the air conditioner are determined according to the operating mode of the air conditioner and the temperature sensing result corresponding to the at least one user.

[0012] In an embodiment of the present application, the controller obtains the user's facial area temperature and the indoor environment temperature, and after making a preliminary judgment based on the first-layer decision condition of the temperature perception recognition model (whether the indoor environment temperature is less than or equal to the first environment temperature threshold), the first-layer recognition result is further adjusted in combination with the user's different facial area temperatures (cheek temperature and forehead temperature). This can more accurately quantify the user's individual temperature perception and form a temperature perception decision branch, so that the air conditioner controller can accurately identify and predict the temperature perception results of each user in the indoor environment; and, the controller adjusts the operating parameters of the air conditioner based on the accurate temperature perception results corresponding to at least one user, so that the indoor environment temperature can more accurately meet the temperature requirements of at least one user in the indoor environment, so that the air conditioner can not only meet the comfort needs of the general population, but also realize the personalized comfort needs of each user.

[0013] As an optional implementation manner, determining the temperature sensing result corresponding to the target user according to the first facial area temperature and the first indoor environment temperature by using the temperature sensing recognition model includes:

[0014] determining, by the temperature sensing recognition model, whether the first indoor ambient temperature is less than or equal to the first ambient temperature threshold;

[0015] When the first indoor ambient temperature is greater than the first ambient temperature threshold, determining, by the temperature perception recognition model, that the temperature perception result corresponding to the target user is the second temperature perception or the third temperature perception;

[0016] If the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, determining whether the first cheek temperature is less than or equal to the first cheek temperature threshold by using the temperature perception recognition model;

[0017] When the first cheek temperature is greater than the first cheek temperature threshold, the temperature sensation recognition model is used to determine that the temperature sensation result corresponding to the target user is the second temperature sensation or the third temperature sensation.

[0018] In this embodiment of the application, the temperature of the first indoor environment is judged in layers by the temperature recognition model. When the first indoor environment temperature is high (greater than the first environment temperature threshold), the target user's temperature perception result is determined to be either warm or neutral. When the first indoor environment temperature is less than or equal to the first environment temperature threshold and the first cheek temperature is high (greater than the first cheek temperature threshold), the target user's temperature perception result is determined to be either warm or neutral. The temperature recognition model generates temperature prediction branches for different user facial features, which can avoid the limitations of a single temperature threshold, making the temperature perception result determined by the temperature recognition model more consistent with the target user's temperature requirements and improving the accuracy of user temperature recognition.

[0019] As an optional embodiment, the facial area temperature includes nose temperature and eye temperature; the third-level decision conditions of the temperature sensing recognition model include whether the indoor ambient temperature is less than or equal to the second ambient temperature threshold, whether the nose temperature is less than or equal to the first nose temperature threshold, whether the cheek temperature is less than or equal to the second cheek temperature threshold, and whether the eye temperature is less than or equal to the first eye temperature threshold; the second ambient temperature threshold is less than the first ambient temperature threshold, and the second cheek temperature threshold is greater than the first cheek temperature threshold.

[0020] In this application embodiment, the third-level decision conditions of the temperature sensing recognition model include the judgment of the indoor ambient temperature, nose temperature, cheek temperature and eye temperature, so that the temperature sensing recognition model can capture the differences between different facial areas and the current indoor ambient temperature and various temperature thresholds, and further judge to obtain more accurate temperature sensing results of the target user.

[0021] As an optional embodiment, the fourth-level decision condition of the temperature recognition model includes whether the eye temperature is less than or equal to the second eye temperature threshold, whether the nose temperature is less than or equal to the second nose temperature threshold, whether the cheek temperature is less than or equal to the third cheek temperature threshold, whether the forehead temperature is less than or equal to the second forehead temperature threshold, whether the cheek temperature is less than or equal to the fourth cheek temperature threshold, whether the forehead temperature is less than or equal to the third forehead temperature threshold, and whether the nose temperature is less than or equal to the third nose temperature threshold;

[0022] Among them, the second eye temperature threshold is lower than the first eye temperature threshold; the second nose temperature threshold is lower than the first nose temperature threshold, and the third nose temperature threshold is higher than the first nose temperature threshold; the third cheek temperature threshold is higher than the first cheek temperature threshold and lower than the second cheek temperature threshold, and the fourth cheek temperature threshold is higher than the second cheek temperature threshold; the second forehead temperature threshold is higher than the third forehead temperature threshold, and the third forehead temperature threshold is higher than the first forehead temperature threshold.

[0023] In this application embodiment, the fourth-level decision conditions of the temperature sensing recognition model include the judgment of eye temperature, nose temperature, forehead temperature and cheek temperature, so that the temperature sensing recognition model can capture the differences between different facial areas and the current indoor ambient temperature and various temperature thresholds, and obtain accurate temperature sensing results for the target user through cross-judgment of various temperature data.

[0024] As an optional implementation, after determining whether the first cheek temperature is less than or equal to the first cheek temperature threshold using the temperature recognition model, the controller is further configured to:

[0025] If the first cheek temperature is less than or equal to the first cheek temperature threshold, determining whether the first indoor ambient temperature is less than or equal to the second ambient temperature threshold by using the temperature perception recognition model;

[0026] When the first indoor ambient temperature is less than or equal to the second ambient temperature threshold, determining, by the temperature perception recognition model, that the temperature perception result corresponding to the target user is the first temperature perception or the third temperature perception;

[0027] If the first indoor ambient temperature is greater than the second ambient temperature threshold, determining whether the first nose temperature is less than or equal to the second nose temperature threshold by using the temperature perception recognition model;

[0028] When the first nose temperature is less than or equal to the second nose temperature threshold, determining, by the temperature sensation recognition model, a temperature sensation result corresponding to the target user as the first temperature sensation or the third temperature sensation;

[0029] When the first nose temperature is greater than the second nose temperature threshold, the temperature sensation recognition model is used to determine that the temperature sensation result corresponding to the target user is the second temperature sensation or the third temperature sensation.

[0030] In this application embodiment, the air conditioner makes layer-by-layer judgments through the first-layer decision conditions to the fourth-layer decision conditions of the temperature perception recognition model. When the first indoor ambient temperature is between the first ambient temperature threshold and the second ambient temperature threshold, the temperature perception result of the target user is determined to be a hot temperature perception or a neutral temperature perception (the first nose temperature is greater than the second nose temperature threshold) by comparing the first nose temperature with the first nose temperature threshold, or the temperature perception result of the target user is determined to be a cold temperature perception or a neutral temperature perception (the first nose temperature is less than or equal to the second nose temperature threshold), so that the temperature perception recognition model generates temperature perception prediction branches for different user facial features, thereby improving the recognition accuracy of the user's temperature perception.

[0031] As an optional implementation, the fifth-layer decision conditions of the temperature recognition model include:

[0032] whether the nose temperature is less than or equal to a fourth nose temperature threshold;

[0033] Whether the cheek temperature is less than or equal to the fifth cheek temperature threshold;

[0034] Whether the indoor ambient temperature is less than or equal to a third ambient temperature threshold;

[0035] whether the indoor ambient temperature is less than or equal to a fourth ambient temperature threshold;

[0036] Whether the indoor ambient temperature is less than or equal to the fifth ambient temperature threshold;

[0037] Whether the forehead temperature is less than or equal to the fourth forehead temperature threshold;

[0038] Whether the indoor ambient temperature is less than or equal to a sixth ambient temperature threshold;

[0039] Whether the nose temperature is less than or equal to the fifth nose temperature threshold;

[0040] Whether the indoor ambient temperature is less than or equal to the seventh ambient temperature threshold;

[0041] Whether the forehead temperature is less than or equal to the fifth forehead temperature threshold;

[0042] The fourth nose temperature threshold is lower than the second nose temperature threshold, and the fifth nose temperature threshold is higher than the first nose temperature threshold and lower than the third nose temperature threshold;

[0043] the fifth cheek temperature threshold is less than the first cheek temperature threshold;

[0044] The third ambient temperature threshold is greater than the fifth ambient temperature threshold, the fourth ambient temperature threshold is greater than the second ambient temperature threshold, the fifth ambient temperature threshold is greater than the fourth ambient temperature threshold, the sixth ambient temperature threshold is greater than the third ambient temperature threshold and less than the first ambient temperature threshold, and the seventh ambient temperature threshold is greater than the first ambient temperature threshold;

[0045] The fourth forehead temperature threshold is lower than the first forehead temperature threshold, and the fifth forehead temperature threshold is higher than the second forehead temperature threshold.

[0046] In this application embodiment, the fifth-level decision conditions of the temperature sensing recognition model include the judgment of the indoor environment temperature, forehead temperature, cheek temperature and nose temperature. Starting from the senses of the indoor environment and various parts of the user's face, after layers of decision-making and judgment, the temperature sensing recognition model can identify different situations from multiple dimensions and accurately obtain the temperature sensing results of the target user in each situation.

[0047] As an optional implementation manner, determining the temperature sensing result corresponding to the target user according to the first facial area temperature and the first indoor environment temperature by using the temperature sensing recognition model includes:

[0048] If the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, the first cheek temperature is less than or equal to the first cheek temperature threshold, the first indoor ambient temperature is greater than the second ambient temperature threshold, and the first nose temperature is less than or equal to the second nose temperature threshold, determining whether the first cheek temperature is less than or equal to the fifth cheek temperature threshold using the temperature perception recognition model;

[0049] When the first cheek temperature is less than or equal to the fifth cheek temperature threshold, determining, by the temperature sensation recognition model, a temperature sensation result corresponding to the target user as the third temperature sensation;

[0050] When the first cheek temperature is greater than the fifth cheek temperature threshold, the temperature sensation recognition model is used to determine that the temperature sensation result corresponding to the target user is the first temperature sensation.

[0051] In this application embodiment, the air conditioner makes layer-by-layer judgments through the first to fifth layer decision conditions of the temperature sensing recognition model, and through specific decision branches, it can obtain accurate temperature sensing results for the target user.

[0052] As an optional implementation, the temperature sensing recognition model includes five layers of decision conditions and a total of 25 decision branches; the leaf node corresponding to each decision branch is the temperature sensing result.

[0053] As an optional implementation manner, obtaining the first facial area temperature corresponding to the target user collected by the infrared sensor, and obtaining the first indoor environment temperature collected by the temperature sensor, includes:

[0054] Acquire a first facial area temperature corresponding to the target user collected by the infrared sensor in a current detection period, and acquire a first indoor ambient temperature collected by the temperature sensor in the current detection period;

[0055] Inputting the first facial region temperature and the first indoor environment temperature into a temperature sensing recognition model, and determining a temperature sensing result corresponding to the target user based on the first facial region temperature and the first indoor environment temperature through the temperature sensing recognition model, includes:

[0056] inputting the first facial region temperature and the first indoor ambient temperature into a temperature sensing recognition model, and determining, by the temperature sensing recognition model, a first temperature sensing result of the target user corresponding to the current detection period based on the first facial region temperature and the first indoor ambient temperature;

[0057] The temperature sensing result corresponding to the target user is determined according to the first temperature sensing results corresponding to the target user and at least two detection cycles.

[0058] In this application embodiment, the air conditioner obtains the first temperature sensing results corresponding to the target user in multiple detection cycles and integrates the first temperature sensing results of multiple detection cycles, thereby reducing the random error of single temperature acquisition and the randomness of the results of a single pass through the temperature sensing recognition model, thereby ensuring the accuracy and stability of the temperature sensing results corresponding to the final target user.

[0059] The present application discloses a parameter control method for an air conditioner, comprising:

[0060] Acquiring a first facial area temperature corresponding to a target user collected by an infrared sensor, and acquiring a first indoor environment temperature collected by a temperature sensor; the target user is any user in the indoor environment where the air conditioner is located;

[0061] The first facial region temperature and the first indoor ambient temperature are input into a temperature perception recognition model, and a temperature perception result corresponding to the target user is determined by the temperature perception recognition model based on the first facial region temperature and the first indoor ambient temperature; a first-level decision condition of the temperature perception recognition model is whether the indoor ambient temperature is less than or equal to a first ambient temperature threshold, and a second-level decision condition of the temperature perception recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold; the temperature perception result includes a temperature perception category, and the temperature perception category includes a first temperature perception, a second temperature perception, or a third temperature perception, the first temperature perception indicating that the user's temperature perception is cold, the second temperature perception indicating that the user's temperature perception is hot, and the third temperature perception indicating that the user's temperature perception is neutral;

[0062] The target operating parameters corresponding to the air conditioner are determined according to the operating mode of the air conditioner and the temperature sensing results corresponding to at least one user in the indoor environment.

[0063] In an embodiment of the present application, the air conditioner obtains the user's facial area temperature and the indoor environment temperature, and after making a preliminary judgment based on the first-level decision condition of the temperature perception recognition model (whether the indoor environment temperature is less than or equal to the first environment temperature threshold), it further adjusts the first-level recognition result in combination with the user's different facial area temperatures (cheek temperature and forehead temperature), which can more accurately quantify the user's individual temperature perception and form a temperature perception decision branch, so that the air conditioner controller can accurately identify and predict the temperature perception results of each user in the indoor environment; and, the controller adjusts the operating parameters of the air conditioner according to the accurate temperature perception result corresponding to at least one user, so that the indoor environment temperature can more accurately meet the temperature requirements of at least one user in the indoor environment, so that the air conditioner can not only meet the comfort needs of the general population, but also realize the personalized comfort needs of each user. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0065] Figure 1 This is an application scenario diagram of an air conditioner in one embodiment;

[0066] Figure 2 A control flow chart of the operation of an air conditioner in one embodiment;

[0067] Figure 3 is a control logic diagram of a controller in one embodiment;

[0068] Figure 4 is a schematic diagram of an addressing process of a controller in a cooling mode according to one embodiment;

[0069] Figure 5 is a schematic diagram of the addressing process of the controller in the heating mode according to one embodiment;

[0070] Figure 6 is a structural block diagram of an air conditioner in one embodiment;

[0071] Figure 7 Schematic diagram of a humidity change curve in one embodiment;

[0072] Figure 8 is a flow chart of controlling the indoor fan when the controller is in cooling mode in one embodiment;

[0073] Figure 9 is a control flow chart of a controller in one embodiment;

[0074] Figure 10 is a control flow chart of a controller in another embodiment;

[0075] Figure 11A A schematic diagram of some decision branches of a temperature sensing recognition model in one embodiment;

[0076] Figure 11B A schematic diagram of some decision branches of a temperature sensing recognition model in one embodiment;

[0077] Figure 11C A schematic diagram of some decision branches of a temperature sensing recognition model in one embodiment;

[0078] Figure 12 is a control flow chart of a controller in one embodiment;

[0079] Figure 13 is a control flow chart of a controller in another embodiment;

[0080] Figure 14 A schematic diagram illustrating the division of the air supply range covered by the air supply assembly in one embodiment;

[0081] Figure 15 is a control flow chart of a controller in one embodiment;

[0082] Figure 16 is a flow chart of a parameter control method for an air conditioner in one embodiment;

[0083] Figure 17 is a flow chart of a parameter control method for an air conditioner in another embodiment;

[0084] Figure 18FIG. 4 is a block diagram of a parameter control device for an air conditioner in one embodiment. DETAILED DESCRIPTION

[0085] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0086] It should be noted that the terms "including," "having," and any variations thereof in the embodiments and drawings of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.

[0087] It is understood that the terms "first," "second," and the like used herein may be used to describe various elements herein, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first temperature sense may be referred to as a second temperature sense, and similarly, a second temperature sense may be referred to as a first temperature sense. The first temperature sense and the second temperature sense are two different temperature sense categories.

[0088] Figure 1 FIG. 1 is an application scenario diagram of an air conditioner in one embodiment. Figure 1 As shown, the air conditioner 100 can be used in an indoor environment 110 and can control the ambient temperature in the indoor environment 110 by adjusting the operating parameters of the air conditioner 100 to provide a suitable temperature for at least one user 120 in the indoor environment 110 .

[0089] Optionally, the air conditioner 100 may include but is not limited to a floor-standing air conditioner, a central air conditioner, a wall-mounted air conditioner, an embedded fan coil unit, a high-speed rail carriage roof-mounted air conditioner, etc.

[0090] The indoor environment 110 refers to a closed or semi-enclosed space equipped with an air conditioner. The indoor environment 110 may include, but is not limited to, an office scene, a library scene, a high-speed rail car scene, a hospital ward scene, a school classroom scene, and the like.

[0091] Optionally, the distribution position of the air conditioner 100 in the indoor environment 110 can be set at the center of the indoor environment 110 (such as Figure 1 As shown), it can also be set at each vertex position of the indoor environment 110, or at any position, and there is no limitation here.

[0092] It should be noted that the number of users 120 in the indoor environment 110 is no longer limited and can be as follows: Figure 1 The five users 120 shown may also be one user, two users, ten users, etc., or even no user may be present in the indoor environment 110. Furthermore, the distribution of the at least one user 120 in the indoor environment 110 may be uniformly distributed according to the number of users, randomly distributed, or vary over time, without limitation.

[0093] In existing technology, air conditioners are typically designed to control comfort by using a single temperature and humidity indicator. However, this approach fails to fully consider the various factors that influence human thermal sensation, such as air temperature, relative humidity, wind speed, mean radiant temperature, human activity intensity, clothing thermal resistance, and metabolic rate. Therefore, these single temperature and humidity indicators are no longer sufficient to meet user needs.

[0094] Furthermore, air conditioners typically use the overall indoor environment as a control unit, failing to meet the differentiated needs of individuals. However, due to differences in physical condition, activity intensity, clothing, and other factors, each user's temperature needs also vary. For example, in an office setting, some employees may prefer a lower indoor temperature due to their faster metabolism, while others may prefer a higher indoor temperature due to their weaker constitutions. This makes it difficult for air conditioners to accommodate the personalized needs of different users. Consequently, air conditioners can mitigate individual differences in indoor environments, failing to ensure comfort for all users simultaneously. Furthermore, they have certain limitations in identifying and regulating individual thermal comfort.

[0095] The embodiments of the present application disclose an air conditioner and a parameter control method for the air conditioner, which can accurately and intelligently adjust the operating parameters of the air conditioner to meet the user's comfort requirements and improve the user's usage experience.

[0096] In this application, the comfort mode of the air conditioner operation can be divided into two stages (initial comfort stage and stable comfort stage); in the initial comfort stage, the PMV (Predicted Mean Vote) model is used as the core for global rapid temperature adjustment. In the cooling mode, PMV is selected as -0.5, and in the heating mode, it is selected as +0.5. The air conditioner determines the basic set temperature according to the PMV comfort range and initial humidity, and determines the compensation value according to the outdoor ambient temperature, clothing thermal resistance and metabolic rate. Finally, the initial set temperature is generated, and the operating parameters of the air conditioner are controlled so that the indoor environment temperature quickly reaches the boundary value close to the target comfort range; after entering the stable comfort stage, PMV is selected according to the [-0.5, 0.5] range, and the temperature sensation of each user in the indoor environment is introduced. The position of the air guide plate and the set temperature are adjusted to achieve precise control of personalized comfort.

[0097] like Figure 2 As shown, the overall control of the air conditioner operation is as follows: when the air conditioner is running, it enters the comfort stage and activates the functions of various sensors. The air conditioner controller collects the indoor ambient temperature through the temperature sensor and the indoor ambient humidity through the humidity sensor, and then the controller calculates the target temperature or receives the target temperature set by the user. (In the stable comfort stage, the controller will also determine the temperature perception of the target user based on the temperature perception recognition model according to the facial area temperature of the target user and the indoor ambient temperature, and then adjust to obtain the target temperature). Based on the target temperature, the controller controls the air conditioner to operate automatically according to the target operating parameters, so that the indoor ambient temperature can meet the personalized comfort needs of each user and improve user comfort.

[0098] The following is an introduction to the meanings of some terms and symbols involved in this application, as shown in Table 1:

[0099] Table 1

[0100]

[0101] The following is an explanation of the initial comfort stage based on the PMV model.

[0102] In the embodiment of the present application, the air conditioner relies on the temperature and humidity addressing rules for addressing to determine the target temperature of the initial comfort stage; the temperature and humidity addressing rules are based on the calculation of the expected average thermal sensation index value of the human body thermal sensation index PMV, and through experimental calculation, a "comfort temperature and humidity reference table (PMV value within ±0.5)" is generated as a reference table for air conditioner comfort control (as shown in Table 2).

[0103] Table 2 Comfort temperature and humidity benchmark table

[0104]

[0105] Specifically, the air conditioner uses temperature sensors to detect the outdoor ambient temperature Tout, the indoor ambient temperature Tin, and the indoor relative humidity Rh. Based on the temperature zone corresponding to the acquired outdoor ambient temperature Tout, combined with the thermal resistance of the clothing worn by the human body and the human metabolic rate M, different temperature compensation values ​​T_compensate are obtained, and the specific operating mode (cooling / heating / air supply) of the air conditioner is determined. Then, based on a comfort temperature and humidity reference table, the acquired indoor relative humidity Rh is used as an indicator to address the reference table, and the target set temperature Ts_comfort for the subsequent stable comfort stage is determined, so that the air conditioner operates at Ts_comfort as the target set value.

[0106] In some embodiments, for the initial comfort stage, the temperature and humidity addressing from the beginning always revolves around the six PMV values ​​that affect human thermal sensation factors: environmental parameters (air temperature, relative humidity, wind speed, average radiant temperature) and human parameters (human metabolic rate, clothing thermal resistance), with human comfort control as the core.

[0107] In some embodiments, the outdoor ambient temperature Tout is re-determined every 2 hours to determine a new temperature zone. If the system remains in the previous operating zone, the system continues in the previous mode and stage. If the system is in a new temperature zone, the system interrupts the previous operating mode and enters a new operating mode based on the new temperature zone's internal ambient temperature Tin and indoor relative humidity Rh. If the indoor sensor fails or overflows, or if there is no humidity sensor, Rh defaults to 65%.

[0108] Specifically, if Figure 3 As shown, the air conditioner obtains the outdoor ambient temperature Tout and determines the temperature zone to which Tout belongs. If Tout ≤ 13°C, it is determined to be the first temperature zone; if 13°C < Tout ≤ 18°C, it is determined to be the second temperature zone; if 18°C ​​< Tout ≤ 24°C, it is determined to be the third temperature zone; and if Tout > 24°C, it is determined to be the fourth temperature zone. The air conditioner determines the corresponding temperature compensation value T_compensation based on the corresponding relationship between clothing thermal resistance, human metabolic rate, and temperature compensation value (as shown in Table 3), combining the temperature zone, clothing thermal resistance clo, and human metabolic rate M. The air conditioner stores a temperature and humidity comparison table. Based on the air conditioner's operating mode and the comfort temperature and humidity reference table (Table 1), the controller uses the obtained indoor relative humidity Rh as a pointer to address the reference table and determine the target temperature Ts_compensation for the subsequent stable comfort stage.

[0109] Table 3 Correspondence between clothing thermal resistance, human metabolic rate and temperature compensation value

[0110] Tout(℃) Clothing thermal resistance clo Human metabolic rate M T_(℃) >24 (4th temperature zone) 0.5 1.2 0 >18, ≤24 (3rd temperature zone) 0.8 1.2 -2 >13, ≤18 (second temperature zone) 1.0 1.2 -3 ≤13 (1st temperature zone) 1.0 1.2 -3

[0111] In some embodiments, the controller of the air conditioner may be addressed according to the operating mode of the air conditioner to determine the target set temperature Ts_initial in the initial comfort stage and the target set temperature Ts_comfort in the stable comfort stage.

[0112] Specifically, taking the cooling mode as an example, Figure 4 As shown in the table, if Rh < 30% (the lower limit of the comfort table's comfortable humidity), the lowest temperature corresponding to Rh 30% in the comfort table is Ts_initial (Ts_initial = 24.5°C). If Rh > 65% (the upper limit of the comfort table's comfortable humidity), the lowest temperature corresponding to Rh 65% in the comfort table is Ts_initial (Ts_initial = 23.5°C). If 65% ≥ Rh ≥ 30% (the upper and lower limits of the comfort table's comfortable humidity), the lowest temperature corresponding to the closest humidity in the comfort table is Ts_initial (e.g., if Rh = 43%, and the closest humidity in the comfort table is Rh 45%, then the lowest temperature corresponding to Rh 45% is Ts_initial = 24°C). Ts_comfort is the average of the sum of the upper and lower limits of the comfortable humidity (26.5°C) and (24°C) for Rh = 50% in the comfort table (25.25°C), with a default value of 25.5°C.

[0113] Specifically, taking the heating mode as an example, Figure 5 As shown in the table, if Rh < 30% (the lower limit of the comfort table's comfortable humidity), the maximum temperature corresponding to Rh 30% in the comfort table is Ts_initial (Ts_initial = 27°C). If Rh > 65% (the upper limit of the comfort table's comfortable humidity), the maximum temperature corresponding to Rh 65% in the comfort table is Ts_initial (Ts_initial = 26°C). If 65% ≥ Rh ≥ 30% (the upper and lower limits of the comfort table's comfortable humidity), the minimum temperature corresponding to the closest humidity in the comfort table is Ts_initial (e.g., if Rh = 43%, and the closest humidity in the comfort table is Rh 45%, then the maximum temperature corresponding to Rh 45% is Ts_initial = 26.5°C). The average of the upper and lower limits of the comfortable humidity (26.5°C) and (24°C) corresponding to Rh 50% in the comfort table is Ts_comfort, with a default value of 25.5°C.

[0114] Specifically, in the air supply mode of the air conditioner, the addressing operation is not performed.

[0115] Figure 6 FIG. 1 is a structural block diagram of an air conditioner in one embodiment. Figure 6 As shown, the air conditioner 100 includes a refrigerant circulation circuit 610 , a temperature sensor 620 , an infrared sensor 630 and a controller 640 .

[0116] The refrigerant circulation circuit 610 is configured to circulate the refrigerant to achieve the cooling or heating function of the air conditioner 100 .

[0117] Optional, such as Figure 6 As shown, the refrigerant circulation circuit 610 includes a compressor 611, an outdoor heat exchanger 612 and an indoor heat exchanger 613 connected in sequence.

[0118] The outdoor heat exchanger 612 is used to exchange heat with the outdoor air; the compressor 611 is used to compress the refrigerant in a low-pressure state into a high-pressure state, and drive the refrigerant to circulate in the refrigerant circulation loop 610; the electronic expansion valve 113 is used to adjust the flow of the refrigerant in the refrigerant circulation loop 610; the indoor heat exchanger 613 is used to exchange heat with the indoor air.

[0119] Specifically, when the outdoor heat exchanger 612 of the air conditioner 100 cools the indoor environment 110, it functions as a condenser, releasing heat; the indoor heat exchanger 613 functions as an evaporator, absorbing heat. The refrigerant is compressed by the compressor 611, becoming a high-temperature, high-pressure gas. It then flows into the outdoor heat exchanger 612, releasing heat and condensing into a liquid (or gas, or a gas-liquid mixture). It then flows into the indoor heat exchanger 613, absorbing heat and evaporating into a gas. Finally, it flows back into the compressor 611, completing the refrigerant circulation loop 610 and cooling the indoor environment.

[0120] Specifically, when the outdoor heat exchanger 612 of the air conditioner 100 heats the indoor environment 110, the outdoor heat exchanger 612 operates as an evaporator, absorbing heat; the indoor heat exchanger 613 operates as a condenser, releasing heat. The refrigerant is compressed by the compressor 611, becoming a high-temperature, high-pressure gas. It then flows into the indoor heat exchanger 612, releasing heat and condensing into a liquid (or gas, or a gas-liquid mixture). It then flows into the outdoor heat exchanger 612, absorbing heat and evaporating into a gas. Finally, it flows back into the compressor 611, completing the refrigerant circulation loop 610 and heating the indoor space.

[0121] The temperature sensor 620 is configured to collect the indoor ambient temperature corresponding to the indoor environment 110 of the air conditioner 100 .

[0122] Optionally, the temperature dynamic sensor 620 may be a thermistor type, thermocouple type, or other temperature sensor with high precision, fast response, and long-term stability, which can accurately measure the temperature value of the indoor environment 110 .

[0123] The indoor ambient temperature can reflect the actual temperature condition reached by the indoor environment 110 after the air conditioner 100 has been running for a period of time, that is, the temperature condition that can be felt by the user 120 in the indoor environment 110, which directly affects the user experience.

[0124] Optionally, the dynamic temperature sensor 620 can be configured to collect the indoor ambient temperature corresponding to the indoor environment 110 according to a preset temperature detection period. For example, the dynamic temperature sensor 620 can collect the temperature of the indoor environment 110 every minute, every few minutes, or even longer. By periodically collecting the indoor ambient temperature, continuous indoor ambient temperature change data can be obtained, thereby avoiding the occasional temperature anomaly.

[0125] Optionally, the preset temperature detection period may be a fixed value, or may be determined according to the outdoor ambient temperature and / or the indoor ambient temperature.

[0126] The infrared sensor 630 is configured to collect the temperature of a facial area corresponding to at least one user in an indoor environment.

[0127] Optionally, the infrared sensor 630 may be an infrared thermal imaging camera, a thermopile sensor array, a single-point thermopile sensor, or the like.

[0128] For example, taking an infrared thermal imaging camera as an example, facial infrared radiation is captured by a microbolometer (Microbolometer) or QWIP (Quantum Well Infrared Photodetector) to generate an infrared thermal imaging frame (resolution is usually 80×60 to 640×512 pixels), thereby obtaining the temperature of the corresponding facial area of ​​the user.

[0129] Optionally, the facial area temperature includes cheek temperature, nose temperature, forehead temperature and eye temperature.

[0130] For example, the air conditioner can be based on an improved target detection algorithm (input is infrared thermal imaging frame, stereo YOLOv7-tiny model), through temperature threshold filtering (for example, 28℃~37℃) and area threshold screening (for example, >200 pixels), to identify the outline of the human head from a complex background and mark it as a candidate area; using the PnP (Perspective-n-Point) algorithm, combined with the infrared camera calibration parameters (such as focal length fx / fy, principal point cx / cy, distortion coefficient k1-k3, etc.), the air conditioner can be used ... ), the two-dimensional thermal imaging coordinates are mapped to a predefined 3D facial model (which can contain 68 key points) to generate a virtual facial mesh with temperature attributes; then the vertex temperatures of the cheeks (such as key points 17-22), nose (such as key points 27-36), forehead (such as key points 1-16), and eyes (such as key points 37-48) in the mesh are Gaussian weighted averaged (the weight is inversely proportional to the Euclidean distance from the vertex to the center of the area) to calculate the quantitative temperature values ​​of the cheek temperature, nose temperature, forehead temperature, and eye temperature.

[0131] In some embodiments, the air conditioner 100 may further include a humidity sensor configured to collect relative humidity in the indoor environment.

[0132] In some embodiments, the air conditioner 100 further includes an outdoor fan and an indoor fan. The outdoor fan rotates to drive outdoor air to flow through the surface of the outdoor heat exchanger 612, exchanging heat with the outdoor heat exchanger 612 to achieve heat exchange with the outdoor side. The indoor fan rotates to drive indoor air to flow through the surface of the indoor heat exchanger 613, exchanging heat with the indoor heat exchanger 613, thereby adjusting the temperature and humidity of the indoor air and providing a comfortable indoor environment 110 for the user 120.

[0133] Specifically, both the outdoor and indoor fans include air guides and dampers. The air guides direct the flow of air. When the outdoor and indoor fans are operating, the guides can adjust their angles based on actual needs, directing the airflow driven by the outdoor and indoor fans in a specific direction, ensuring that air flows evenly and efficiently across the heat exchanger surface. The dampers control the amount of air flowing through. When the air conditioner 100 needs to increase heat exchange, the dampers open wider, allowing more air to pass through the heat exchanger and enhancing the heat exchange effect. Conversely, when the load on the air conditioner 100 is reduced or the unit is in a specific operating mode, the dampers open narrower, reducing air flow and lowering energy consumption.

[0134] In some embodiments, the air conditioner can adjust the temperature and humidity of the indoor environment by controlling the opening of the air guide plate and the air valve.

[0135] Specifically, the controller can be based on the humidity control and moisturizing theory (as shown in Table 4, 4) that "as the indoor humidity increases, the dehumidification capacity peak of the air conditioner tends to gradually move to the high wind speed side of the indoor unit. At different wind speeds, the critical points of dry and wet conditions are different. The higher the wind speed, the higher the inlet relative humidity will be. The wet condition will be entered; the lower the wind speed, the lower the inlet relative humidity will be. Figure 7 As shown), the indoor fan is controlled to better control the relative humidity of the indoor environment and keep it within the range of human comfort humidity.

[0136] Table 4 Relationship between absolute dehumidification capacity in 4 hours and indoor unit wind speed

[0137] Absolute dehumidification capacity in 4 hours 700rpm 870rpm 1000rpm 1250rpm Indoor 27℃ / 15.8℃(30%RH) 3.90kg 3.24kg 3.01kg 2.94kg Indoor 27℃ / 19℃(47%RH) 3.68kg 4.51kg 4.79kg 4.11kg Indoor 27℃ / 21.2℃(60%RH) 4.21kg 5.45kg 4.66kg 4.70kg

[0138] In some embodiments, as Figure 8 As shown, based on the above-mentioned humidity control and moisturizing theory, when the working mode of the air conditioner is the cooling mode, the control method of the air conditioner on the indoor fan may include the following steps.

[0139] Step 802: The air conditioner starts running.

[0140] Step 804: Acquire the indoor environment temperature Tin, the outdoor environment temperature Tout, the indoor environment relative humidity Rh, and the indoor instantaneous sampled relative humidity Rhi.

[0141] Step 806: Determine the cooling mode of the air conditioner according to the indoor ambient temperature Tin, the outdoor ambient temperature Tout, and the indoor ambient relative humidity Rh.

[0142] In step 808 , the air conditioner enters cooling mode and controls the speed of the indoor fan (execute step 810 ) or controls the frequency of the compressor (execute step 830 ).

[0143] Step 810 , determining whether the set temperature difference E is greater than a first set temperature (eg, 2° C.); if so, executing step 812 ; if not, executing step 816 .

[0144] Step 812: Control the indoor fan to operate at the first wind speed. It should be noted that in this mode, after the indoor fan first operates at the second wind speed, if E > 3°C for 5 minutes, it will be operated at high speed. The first wind speed can be 1250 rpm.

[0145] Step 814 , determining whether the set temperature difference E is less than or equal to the first set temperature. If so, execute step 816 ; if not, execute step 812 .

[0146] Step 816: Control the indoor fan to operate at a second windshield speed. The second windshield speed is less than the first windshield speed. The second windshield speed may be a medium wind speed of 1000 rpm.

[0147] Step 818 determines whether the condition -2 ≤ ΔR < 2 is satisfied for four consecutive sampling periods. The instantaneous indoor relative humidity is collected once every preset sampling period (e.g., 5 minutes), where ΔR is the difference between the instantaneous indoor relative humidity Rhi of the current sampling period and the instantaneous indoor relative humidity Rh(i-1) of the previous sampling period, i.e., ΔR = Rhi - Rh(i-1). If so, proceed to step 820; if not, proceed to step 816.

[0148] Step 820: Determine whether -6≤ΔRh<6 is satisfied. ΔRh is the difference between the instantaneous indoor relative humidity Rhi and the set humidity Rhset during the current sampling period. If so, proceed to step 818; if not, proceed to step 822.

[0149] Step 822 , determine whether ΔRh>6 is satisfied. If so, execute step 824 ; if not, execute step 826 .

[0150] Step 824, control the indoor fan to adjust one gear to the windshield with lower wind speed.

[0151] Step 826 , determine whether ΔRh<6 is satisfied. If so, execute step 828 ; if not, execute step 820 .

[0152] Step 828, control the indoor fan to adjust one gear to the windshield with higher wind speed.

[0153] Step 830: Enter cooling mode for the first time.

[0154] Step 832: Determine whether the set temperature difference E > 3°C. The set temperature difference E is the absolute value of the difference between the indoor ambient temperature and the target temperature. If yes, proceed to step 834; if no, proceed to step 836.

[0155] Step 834: call the existing strong cooling mode to run.

[0156] Step 836, run in normal mode.

[0157] Through the above steps 802 to 836, the air conditioner can reduce the energy consumption of the air conditioner while ensuring the user's comfort.

[0158] The following describes the stable comfort stage of the temperature sensation of each user introduced into the indoor environment.

[0159] In an embodiment of the present application, after the air conditioner enters the stable comfort stage, the infrared sensor collects the facial area temperature, human thermal sensation TSV, indoor environment temperature, relative humidity, wind speed, metabolic rate, and clothing thermal resistance to establish a model training large database, and finally establishes a temperature perception recognition model to identify and predict the user's individual temperature perception. The controller 640 determines the corresponding control strategy based on the output temperature perception results, thereby meeting the individual differentiated and personalized comfort adjustment needs of at least one user in the indoor environment.

[0160] like Figure 9 As shown, the controller 640 is configured to execute the following steps 910 to 930 .

[0161] Step 910: Acquire a first facial area temperature corresponding to a target user collected by an infrared sensor, and acquire a first indoor environment temperature collected by a temperature sensor.

[0162] The target user is any user in an indoor environment.

[0163] Optionally, both the infrared sensor and the temperature sensor on the air conditioner can be connected to the controller. The indoor ambient temperature collected by the infrared sensor can be stored in an indoor ambient temperature database, and the facial area temperature collected by the temperature sensor can be stored in a facial area temperature database. The indoor ambient temperature database can include indoor ambient temperatures collected by the temperature sensor during multiple temperature detection cycles, and the facial area temperature database can include facial area temperatures corresponding to each user in the indoor environment collected by the infrared sensor during multiple temperature detection cycles. The controller can obtain the first facial area temperature corresponding to the target user and the first indoor ambient temperature from the indoor ambient temperature database and the facial area temperature database. The temperature collection period corresponding to the first facial area temperature is the same as the temperature collection period corresponding to the first indoor ambient temperature.

[0164] In step 920 , the temperature of the first facial region and the first indoor environment temperature are input into a temperature sensing recognition model, and the temperature sensing recognition model determines a temperature sensing result corresponding to the target user based on the temperature of the first facial region and the first indoor environment temperature.

[0165] The first-level decision condition of the temperature sensing recognition model is whether the indoor ambient temperature is less than or equal to the first ambient temperature threshold. The second-level decision condition of the temperature sensing recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold.

[0166] In some embodiments, a trained temperature sensing recognition model is stored in the controller, and the training process of the temperature sensing recognition model can be carried out on the air conditioner or on other electronic devices or terminal devices. After the training is completed by other electronic devices or terminal devices, it is stored on the current air conditioner through transfer learning or direct sending.

[0167] Specifically, the training of the temperature recognition model may include the following steps 1) to 4).

[0168] 1) Sample Data Collection. Compared to the physically meaningful PMV model, big data-based AI technology is more accurate in predicting human thermal sensation than conventional physical models. Its accuracy depends largely on the amount of sample data used for training. Therefore, in practical applications, as the amount of sample data continues to increase, the accuracy of the established temperature perception recognition model will also increase. Therefore, to enable the air conditioner to accurately identify a user's temperature sensation, sample data collection includes the collection of environmental state parameters in multiple environments and the collection of body surface data from different users. The multiple environments include multiple environments in different regions, seasons, and weather conditions. Environmental state parameters include indoor ambient temperature, relative humidity, wind speed, clothing thermal resistance, and other state parameters. Different users include sample groups with different physical characteristics such as age, gender, and ethnicity. Body surface data includes skin temperature (e.g., facial temperature), human thermal sensation, and human metabolic rate at multiple different body parts. Therefore, based on the collected sample data, a large database for model training is established. This allows AI technology to self-learn the changing patterns of user temperature sensation, facilitating the accurate identification of individual users' thermal comfort needs when applied to the air conditioner.

[0169] 2) Model Training. A temperature recognition model is constructed using skin temperature data from different facial regions. This model is then screened and optimized using collected environmental parameters from various environments, along with parameters such as human thermal sensation and metabolic rate. Ideally, the temperature recognition model based on facial region temperature can be fully automated, self-learning the user's temperature sensitivity patterns without the need for manual parameter adjustment, thus improving modeling efficiency.

[0170] 3) Generate a model. During the construction of the temperature sensing recognition model, there are parameters, namely hyperparameters, that cannot be directly optimized by the algorithm. Manual adjustment of hyperparameters is required to select the optimal temperature sensing recognition model output after training.

[0171] 4) Prediction. The optimal temperature recognition model is tested and its accuracy is predicted to determine its generalization level. If the generalization level of the optimal temperature recognition model reaches a preset level, the optimal temperature recognition model can be considered the trained temperature recognition model.

[0172] In some embodiments, the temperature sensation result includes a temperature sensation category, which includes a first temperature sensation, a second temperature sensation, or a third temperature sensation. The first temperature sensation indicates that the user's temperature sensation is relatively cold, the second temperature sensation indicates that the user's temperature sensation is relatively hot, and the third temperature sensation indicates that the user's temperature sensation is neutral.

[0173] Optionally, the temperature sensing result also includes a temperature value. A temperature sensing category can correspond to multiple temperature values. Different temperature sensing categories correspond to different temperature sensing values, and the number of temperature sensing values ​​corresponding to each temperature sensing category is not limited here. For example, the temperature sensing values ​​corresponding to the first temperature sensing category may include -1 and -2; the temperature sensing values ​​corresponding to the second temperature sensing category may include 1, 2, and 3; and the temperature sensing value corresponding to the third temperature sensing category may include 0.

[0174] It should be noted that the temperature sensitivity value can be used to represent the degree of the corresponding temperature sensitivity category. For example, if the first temperature sensitivity indicates that the user's temperature sensation is relatively cold, and the temperature sensitivity values ​​corresponding to the first temperature sensitivity can include -1 and -2, a temperature sensitivity value of -1 may indicate that the target user feels relatively cold, while a temperature sensitivity value of -2 may indicate that the target user feels very cold. In other words, a user with a temperature sensitivity value of -2 feels colder than a user with a temperature sensitivity value of -1.

[0175] Step 930 : Determine target operating parameters corresponding to the air conditioner according to the operating mode of the air conditioner and the temperature sensing result corresponding to at least one user.

[0176] The ambient temperature of the indoor environment is affected by the airflow rate of the hot or cold airflow output by the air conditioner, which in turn is affected by the circulation rate and state changes of the refrigerant, which in turn are affected by the operating frequency of the compressor. Specifically, the higher the operating frequency of the compressor, the more refrigerant is compressed per unit time, the stronger the cooling or heating capacity of the air conditioner, the greater the output of the hot or cold airflow, the more significant the temperature change caused by the air conditioner's temperature adjustment, and the more significant the impact on the ambient temperature of the indoor environment. Therefore, the controller can control the ambient temperature of the indoor environment by adjusting the operating frequency of the air conditioner's compressor, so that the ambient temperature approaches the user's desired temperature (the target temperature Ts_comfort in the stable comfort stage), thereby ensuring the user's comfort.

[0177] Optionally, the target temperature Ts_comfort in the stable comfort stage can be determined according to the working mode of the air conditioner and the temperature sensing result corresponding to at least one user.

[0178] In some embodiments, if the air conditioner determines that a large number of users in the indoor environment have a temperature sensing result that is relatively cool, the current set temperature is increased. That is, if the air conditioner controller, through the temperature sensing recognition model, identifies that the number of users with a temperature sensing result that is relatively cool exceeds a first threshold, it sends a temperature increase signal to increase the temperature based on the current set temperature. For example, if the current set temperature is 20°C, the target temperature after the increase can be 21°C. Alternatively, if the number of users with a temperature sensing result that is relatively neutral exceeds a first threshold, it sends a temperature maintain signal to maintain the current set temperature. Alternatively, if the number of users with a temperature sensing result that is relatively hot exceeds a first threshold, it sends a temperature decrease signal to decrease the temperature based on the current set temperature. For example, if the current set temperature is 20°C, the target temperature after the increase can be 19°C. The first threshold is determined by the number of users in the current indoor environment. Thus, by adjusting the current set temperature in this manner, the air conditioner operates according to the adjusted target temperature, thereby achieving the purpose of personalized thermal comfort control for each user and meeting the personalized comfort adjustment needs of the target user.

[0179] The target operating parameters corresponding to the air conditioner refer to the various operating parameters that the air conditioner needs to achieve in order to adjust the ambient temperature of the indoor environment to a temperature close to the user's desired temperature (the first target temperature or the second target temperature).

[0180] Optionally, the target operating parameters corresponding to the air conditioner may include but are not limited to one or more of the target operating frequency of the compressor, the target speed of the fan, the target opening of the electronic expansion valve, the target angle of the air guide plate, and the target opening of the air valve.

[0181] The compressor's operating frequency controls the amount of refrigerant compressed per unit time, which in turn affects the air conditioner's cooling or heating capacity and output airflow. The fan's speed affects the airflow rate and volume. The opening of the electronic expansion valve controls the refrigerant's flow rate and pressure, which in turn affects the air conditioner's cooling or heating performance. The angle of the air deflector and the opening of the damper adjust the direction and speed of the air conditioner's output airflow.

[0182] For example, when the air conditioner is in heating mode, if the controller determines through the temperature sensing recognition model that the number of users whose temperature sensing results in the indoor environment are cold is greater than the first threshold value, the speed of the indoor fan of the air conditioner is increased; if the controller determines through the temperature sensing recognition model that the number of users whose temperature sensing results in the indoor environment are hot is greater than the first threshold value, the speed of the indoor fan of the air conditioner is reduced.

[0183] For example, when the air conditioner is in cooling mode, if the controller determines through the temperature sensing recognition model that the number of users whose temperature sensing results in the indoor environment are relatively cold is greater than a first threshold value, the speed of the indoor fan of the air conditioner is reduced; if the controller determines through the temperature sensing recognition model that the number of users whose temperature sensing results in the indoor environment are relatively hot is greater than a first threshold value, the speed of the indoor fan of the air conditioner is increased.

[0184] In some embodiments, after determining the target operating parameters corresponding to the air conditioner, the controller controls the air conditioner to operate according to the target operating parameters, so that the temperature adjusted by the air conditioner approaches the first target temperature or the second target temperature, thereby providing a comfortable ambient temperature for at least one user in the indoor environment.

[0185] In an embodiment of the present application, the user's facial area temperature and indoor environment temperature are obtained, and after a preliminary judgment is made through the first-level decision condition of the temperature perception recognition model (whether the indoor environment temperature is less than or equal to the first environment temperature threshold), the first-level recognition result is further adjusted in combination with the user's different facial area temperatures (cheek temperature and forehead temperature). This can more accurately quantify the user's individual temperature perception and form a temperature perception decision branch, so that the air conditioner controller can accurately identify and predict the temperature perception results of each user in the indoor environment; and, the controller adjusts the operating parameters of the air conditioner according to the accurate temperature perception result corresponding to at least one user, so that the indoor environment temperature can more accurately meet the temperature requirements of at least one user in the indoor environment, so that the air conditioner can not only meet the comfort needs of the general population, but also realize the personalized comfort needs of each user.

[0186] In some embodiments, as Figure 10 As shown, the step of determining the temperature sensing result corresponding to the target user according to the first facial area temperature and the first indoor environment temperature through the temperature sensing recognition model may include the following steps 1002 to 1010.

[0187] In step 1002 , the temperature sensing recognition model is used to determine whether the first indoor ambient temperature is less than or equal to a first ambient temperature threshold. If so, the controller 640 executes step 1006 ; if not, the controller 640 executes step 1004 .

[0188] Step 1004 : When the first indoor ambient temperature is greater than the first ambient temperature threshold, determine, through the temperature sensing recognition model, that the temperature sensing result corresponding to the target user is the second temperature sensing result or the third temperature sensing result.

[0189] In step 1006, if the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, the temperature sensing recognition model is used to determine whether the first cheek temperature is less than or equal to the first cheek temperature threshold. If so, the controller 640 executes step 1008; if not, the controller 640 executes step 1010.

[0190] Step 1008 : When the first cheek temperature is less than or equal to the first cheek temperature threshold, determine, through the temperature perception recognition model, that the temperature perception result corresponding to the target user is the first temperature perception, the second temperature perception, or the third temperature perception.

[0191] Step 1010: When the first cheek temperature is greater than the first cheek temperature threshold, determine, through the temperature perception recognition model, that the temperature perception result corresponding to the target user is the second temperature perception or the third temperature perception.

[0192] Specifically, if the first cheek temperature is less than or equal to the first cheek temperature threshold, the temperature sensing recognition model is used to determine whether the first indoor ambient temperature is less than or equal to the second ambient temperature threshold; when the first indoor ambient temperature is less than or equal to the second ambient temperature threshold, the temperature sensing recognition model is used to determine whether the temperature sensing result corresponding to the target user is the first temperature sensing or the third temperature sensing; if the first indoor ambient temperature is greater than the second ambient temperature threshold, the temperature sensing recognition model is used to determine whether the first nose temperature is less than or equal to the second nose temperature threshold; when the first nose temperature is less than or equal to the second nose temperature threshold, the temperature sensing recognition model is used to determine whether the temperature sensing result corresponding to the target user is the first temperature sensing or the third temperature sensing; when the first nose temperature is greater than the second nose temperature threshold, the temperature sensing recognition model is used to determine whether the temperature sensing result corresponding to the target user is the second temperature sensing or the third temperature sensing.

[0193] Specifically, if the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, and the first cheek temperature is less than or equal to the first cheek temperature threshold, and the first indoor ambient temperature is greater than the second ambient temperature threshold, and the first nose temperature is less than or equal to the second nose temperature threshold, then the temperature perception recognition model is used to determine whether the first cheek temperature is less than or equal to the fifth cheek temperature threshold; when the first cheek temperature is less than or equal to the fifth cheek temperature threshold, the temperature perception recognition model is used to determine that the temperature perception result corresponding to the target user is the third temperature perception; when the first cheek temperature is greater than the fifth cheek temperature threshold, the temperature perception recognition model is used to determine that the temperature perception result corresponding to the target user is the first temperature perception.

[0194] In an embodiment of the present application, the controller uses a temperature recognition model to perform a hierarchical judgment on the first indoor ambient temperature. When the first indoor ambient temperature is relatively high (greater than the first ambient temperature threshold), the controller determines that the target user's temperature perception result is either warm or neutral. When the first indoor ambient temperature is less than or equal to the first ambient temperature threshold and the first cheek temperature is relatively high (greater than the first cheek temperature threshold), the controller determines that the target user's temperature perception result is either warm or neutral. This allows the temperature recognition model to generate temperature prediction branches for different user facial features, avoiding the limitations of a single temperature threshold. This allows the temperature recognition model to better meet the target user's temperature requirements, thereby improving the accuracy of user temperature recognition.

[0195] In some embodiments, as Figures 11A-11C As shown in the figure, the temperature sensing recognition model includes five layers of decision conditions and a total of 25 decision branches; the leaf node corresponding to each decision branch is the temperature sensing result.

[0196] In some specific embodiments, the third-level decision conditions of the temperature sensing recognition model include whether the indoor ambient temperature is less than or equal to the second ambient temperature threshold, whether the nose temperature is less than or equal to the first nose temperature threshold, whether the cheek temperature is less than or equal to the second cheek temperature threshold, and whether the eye temperature is less than or equal to the first eye temperature threshold; the second ambient temperature threshold is less than the first ambient temperature threshold, and the second cheek temperature threshold is greater than the first cheek temperature threshold.

[0197] In some specific embodiments, the fourth-level decision conditions of the temperature recognition model include whether the eye temperature is less than or equal to the second eye temperature threshold, whether the nose temperature is less than or equal to the second nose temperature threshold, whether the cheek temperature is less than or equal to the third cheek temperature threshold, whether the forehead temperature is less than or equal to the second forehead temperature threshold, whether the cheek temperature is less than or equal to the fourth cheek temperature threshold, whether the forehead temperature is less than or equal to the third forehead temperature threshold, and whether the nose temperature is less than or equal to the third nose temperature threshold; wherein, the second eye temperature threshold is less than the first eye temperature threshold; the second nose temperature threshold is less than the first nose temperature threshold, and the third nose temperature threshold is greater than the first nose temperature threshold; the third cheek temperature threshold is greater than the first cheek temperature threshold and less than the second cheek temperature threshold, and the fourth cheek temperature threshold is greater than the second cheek temperature threshold; the second forehead temperature threshold is greater than the third forehead temperature threshold, and the third forehead temperature threshold is greater than the first forehead temperature threshold.

[0198] In some specific embodiments, the fifth-layer decision conditions of the temperature recognition model include: whether the nose temperature is less than or equal to the fourth nose temperature threshold; whether the cheek temperature is less than or equal to the fifth cheek temperature threshold; whether the indoor ambient temperature is less than or equal to the third ambient temperature threshold; whether the indoor ambient temperature is less than or equal to the fourth ambient temperature threshold; whether the indoor ambient temperature is less than or equal to the fifth ambient temperature threshold; whether the forehead temperature is less than or equal to the fourth forehead temperature threshold; whether the indoor ambient temperature is less than or equal to the sixth ambient temperature threshold; whether the nose temperature is less than or equal to the fifth nose temperature threshold; whether the indoor ambient temperature is less than or equal to the seventh ambient temperature threshold; whether the forehead temperature is less than or equal to the fifth forehead temperature threshold;

[0199] Among them, the fourth nose temperature threshold is less than the second nose temperature threshold, the fifth nose temperature threshold is greater than the first nose temperature threshold and less than the third nose temperature threshold; the fifth cheek temperature threshold is less than the first cheek temperature threshold; the third ambient temperature threshold is greater than the fifth ambient temperature threshold, the fourth ambient temperature threshold is greater than the second ambient temperature threshold, the fifth ambient temperature threshold is greater than the fourth ambient temperature threshold, the sixth ambient temperature threshold is greater than the third ambient temperature threshold and less than the first ambient temperature threshold, and the seventh ambient temperature threshold is greater than the first ambient temperature threshold; the fourth forehead temperature threshold is less than the first forehead temperature threshold, and the fifth forehead temperature threshold is greater than the second forehead temperature threshold.

[0200] For example, in Figures 11A-11C In the temperature sensing recognition model shown, the fourth nose temperature threshold (such as 25.85°C) is smaller than the second nose temperature threshold (such as 32.70°C), smaller than the first nose temperature threshold (such as 35.65°C), smaller than the fifth nose temperature threshold (such as 35.80°C), and smaller than the third nose temperature threshold (such as 37.15°C).

[0201] For example, in Figures 11A-11C In the temperature sensing recognition model shown, the second ambient temperature threshold (such as 17.95°C) is smaller than the fourth ambient temperature threshold (such as 20.65°C), smaller than the fifth ambient temperature threshold (such as 21.40°C), smaller than the third ambient temperature threshold (such as 21.90°C), smaller than the sixth ambient temperature threshold (such as 24.05°C), smaller than the first ambient temperature threshold (such as 29.75°C), and smaller than the seventh ambient temperature threshold (such as 30.10°C).

[0202] For example, in Figures 11A-11CIn the temperature recognition model shown, the fifth cheek temperature threshold (such as 31.65°C) is smaller than the first cheek temperature threshold (such as 31.95°C), smaller than the third cheek temperature threshold (such as 33.45°C), smaller than the second cheek temperature threshold (such as 34.35°C), and smaller than the fourth cheek temperature threshold (such as 35.45°C).

[0203] For example, in Figures 11A-11C In the temperature recognition model shown, the second eye temperature threshold (eg, 34.05° C.) is smaller than the first eye temperature threshold (eg, 36.35° C.).

[0204] For example, in Figures 11A-11C In the temperature recognition model shown, the fourth forehead temperature threshold (such as 35.45°C) is lower than the first forehead temperature threshold (such as 36.05°C), lower than the third forehead temperature threshold (such as 36.55°C), lower than the second forehead temperature threshold (such as 36.85°C), and lower than the fifth forehead temperature threshold (such as 37.45°C).

[0205] like Figures 11A-11C As shown in the figure, the 23 decision branches and corresponding temperature sensing results included in the temperature recognition model are as follows, where the nose temperature is T 鼻子 , cheek temperature is T 脸颊 , forehead temperature is T 额头 , the eye temperature is T 眼睛 , the indoor ambient temperature is T 室内环境 .

[0206] Specifically, the first decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第二环境温度阈值 , further the first eye temperature satisfies T 眼睛 ≤T 第二眼睛温度阈值 , further the first nose temperature satisfies T 鼻子 ≤T 第四鼻子温度阈值 In the case of , the temperature sensation result corresponding to the first decision branch is that the first temperature sensation is cold.

[0207] Specifically, the second decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第二环境温度阈值, further the first eye temperature satisfies T 眼睛 ≤T 第二眼睛温度阈值 , further the first nose temperature satisfies T 鼻子 >T 第四鼻子温度阈值 In the case of , the temperature sensation result corresponding to the second decision branch is that the first temperature sensation is cold.

[0208] Specifically, the third decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第二环境温度阈值 , further the first eye temperature satisfies T 眼睛 >T 第二眼睛温度阈值 In the case of , the temperature sensing result corresponding to the third decision branch is the third temperature sensing neutral.

[0209] Specifically, the fourth decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第二环境温度阈值 , further the first nose temperature satisfies T 鼻子 ≤T 第二鼻子温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第五脸颊温度阈值 In the case of , the temperature sensing result corresponding to the third decision branch is the third temperature sensing neutral.

[0210] Specifically, the fifth decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第二环境温度阈值 , further the first nose temperature satisfies T 鼻子 ≤T 第二鼻子温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第五脸颊温度阈值 In the case of , the temperature sensation result corresponding to the fourth decision branch is that the first temperature sensation is cold.

[0211] Specifically, the sixth decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第二环境温度阈值 , further the first nose temperature satisfies T 鼻子 >T 第二鼻子温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第三环境温度阈值 In this case, the temperature sensing result corresponding to the fifth decision branch is the third temperature sensing neutral.

[0212] Specifically, the seventh decision branch: Figure 11A As shown, in the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第一脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第二环境温度阈值 , further the first nose temperature satisfies T 鼻子 >T 第二鼻子温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第三环境温度阈值 In the case of , the temperature sensing result corresponding to the sixth decision branch is the second temperature sensing being hot.

[0213] Specifically, the eighth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 ≤T 第一鼻子温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第三脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第四环境温度阈值 In the case of , the temperature sensing result corresponding to the seventh decision branch is the third temperature sensing neutral.

[0214] Specifically, the ninth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 ≤T 第一鼻子温度阈值 , further the first cheek temperature satisfies T脸颊 ≤T 第三脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第四环境温度阈值 In the case of , the temperature sensing result corresponding to the eighth decision branch is the third temperature sensing neutral.

[0215] Specifically, the tenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 ≤T 第一鼻子温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第三脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第五环境温度阈值 In the case of , the temperature sensing result corresponding to the tenth decision branch is the third temperature sensing neutral.

[0216] Specifically, the eleventh decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 ≤T 第一鼻子温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第三脸颊温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第五环境温度阈值 In the case of , the temperature sensing result corresponding to the eleventh decision branch is the third temperature sensing neutral.

[0217] Specifically, the twelfth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 >T 第一鼻子温度阈值 , further the first forehead temperature satisfies T 额头 ≤T 第二额头温度阈值 , further the first forehead temperature satisfies T 额头 ≤T 第四额头温度阈值 In the case of , the temperature sensing result corresponding to the twelfth decision branch is the third temperature sensing neutral.

[0218] Specifically, the thirteenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 >T 第一鼻子温度阈值 , further the first forehead temperature satisfies T 额头 ≤T 第二额头温度阈值 , further the first forehead temperature satisfies T 额头 >T 第四额头温度阈值 In the case of , the temperature sensing result corresponding to the thirteenth decision branch is the third temperature sensing neutral.

[0219] Specifically, the fourteenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 >T 第一鼻子温度阈值 , further the first forehead temperature satisfies T 额头 >T 第二额头温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第六环境温度阈值 In the case of , the temperature sensing result corresponding to the fourteenth decision branch is the second temperature sensing being hot.

[0220] Specifically, the fifteenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第一脸颊温度阈值 , enter ① process, refer to Figure 11B As shown, the first nose temperature further satisfies T 鼻子 >T 第一鼻子温度阈值 , further the first forehead temperature satisfies T 额头 >T 第二额头温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第六环境温度阈值 In the case of , the temperature sensing result corresponding to the fifteenth decision branch is the third temperature sensing neutral.

[0221] Specifically, the sixteenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T额头 ≤T 第一额头温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第二脸颊温度阈值 In the case of , the temperature sensing result corresponding to the sixteenth decision branch is the third temperature sensing neutral.

[0222] Specifically, the seventeenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 ≤T 第一额头温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第二脸颊温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第四脸颊温度阈值 , further the first nose temperature satisfies T 鼻子 ≤T 第五鼻子温度阈值 In the case of , the temperature sense result corresponding to the seventeenth decision branch is the second temperature sense being hot.

[0223] Specifically, the eighteenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 ≤T 第一额头温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第二脸颊温度阈值 , further the first cheek temperature satisfies T 脸颊 ≤T 第四脸颊温度阈值 , further the first nose temperature satisfies T 鼻子 >T 第五鼻子温度阈值 In the case of , the temperature sensing result corresponding to the eighteenth decision branch is the third temperature sensing neutral.

[0224] Specifically, the nineteenth decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 ≤T 第一额头温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第二脸颊温度阈值 , further the first cheek temperature satisfies T 脸颊 >T 第四脸颊温度阈值 In the case of , the temperature sensing result corresponding to the nineteenth decision branch is the second temperature sensing being hot.

[0225] Specifically, the twentieth decision branch: when the first indoor ambient temperature satisfies T 室内环境>T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 >T 第一额头温度阈值 , further the first eye temperature satisfies T 眼睛 ≤T 第一眼睛温度阈值 , further the first forehead temperature satisfies T 额头 ≤T 第三额头温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 ≤T 第一环境温度阈值 In the case of , the temperature sense result corresponding to the twentieth decision branch is the second temperature sense being hot.

[0226] Specifically, the twenty-first decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 >T 第一额头温度阈值 , further the first eye temperature satisfies T 眼睛 ≤T 第一眼睛温度阈值 , further the first forehead temperature satisfies T 额头 ≤T 第三额头温度阈值 , further the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 In the case of , the temperature sensing result corresponding to the twenty-first decision branch is the third temperature sensing neutral.

[0227] Specifically, the twenty-second decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 >T 第一额头温度阈值 , further the first eye temperature satisfies T 眼睛 ≤T 第一眼睛温度阈值 , further the first forehead temperature satisfies T 额头 >T 第三额头温度阈值 In the case of , the temperature sensing result corresponding to the twenty-second decision branch is the third temperature sensing neutral.

[0228] Specifically, the twenty-third decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 >T 第一额头温度阈值 , further the first eye temperature satisfies T 眼睛 >T 第一眼睛温度阈值 , further the first nose temperature satisfies T 鼻子≤T 第三鼻子温度阈值 , further the first forehead temperature satisfies T 额头 ≤T 第五额头温度阈值 In the case of , the temperature sense result corresponding to the twenty-third decision branch is the second temperature sense being hot.

[0229] Specifically, the twenty-fourth decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 >T 第一额头温度阈值 , further the first eye temperature satisfies T 眼睛 >T 第一眼睛温度阈值 , further the first nose temperature satisfies T 鼻子 ≤T 第三鼻子温度阈值 , further the first forehead temperature satisfies T 额头 >T 第五额头温度阈值 In the case of , the temperature sensing result corresponding to the twenty-fourth decision branch is the third temperature sensing neutral.

[0230] Specifically, the twenty-fifth decision branch: when the first indoor ambient temperature satisfies T 室内环境 >T 第一环境温度阈值 , enter ② process, refer to Figure 11C As shown, the first forehead temperature satisfies T 额头 >T 第一额头温度阈值 , further the first eye temperature satisfies T 眼睛 >T 第一眼睛温度阈值 , further the first nose temperature satisfies T 鼻子 >T 第三鼻子温度阈值 In the case of , the temperature sensing result corresponding to the twenty-fifth decision branch is the third temperature sensing neutral.

[0231] Among the 25 decision branches and their corresponding temperature sensing results, if the temperature sensing result is the first temperature sensing cold, meaning the user currently feels the temperature is too low, the current set temperature is increased to increase the user's perceived temperature and improve comfort. If the temperature sensing result is the second temperature sensing hot, meaning the user currently feels the temperature is too high, the current set temperature is decreased to reduce the user's perceived temperature and improve comfort. If the temperature sensing result is the third temperature sensing neutral, meaning the user currently feels neither cold nor hot, the current set temperature can be maintained, indicating that the air conditioner can currently meet the user's individual comfort needs.

[0232] In some embodiments, as Figure 12 As shown, the controller 640 is configured to execute the following steps 1202 to 1208 .

[0233] Step 1202 : obtaining a first facial area temperature corresponding to the target user collected by the infrared sensor in the current detection period, and obtaining a first indoor environment temperature collected by the temperature sensor in the current detection period.

[0234] Step 1204 : Input the first facial region temperature and the first indoor environment temperature into a temperature sensing recognition model. The temperature sensing recognition model determines a first temperature sensing result corresponding to the target user and the current detection period based on the first facial region temperature and the first indoor environment temperature.

[0235] For the description of determining the first temperature sensing result corresponding to the target user and the current detection period in steps 1202 to 1204 , reference may be made to the description of steps 910 to 920 in the above embodiment, which will not be repeated here.

[0236] Step 1206 : Determine the temperature sensing result corresponding to the target user according to the first temperature sensing results corresponding to the target user and at least two detection periods.

[0237] In some embodiments, the controller of the air conditioner may store the first temperature sensing results corresponding to the target user and each detection cycle until the number of stored detection cycles reaches a preset number; the controller performs statistics on the first temperature sensing results corresponding to at least two stored detection cycles to determine the temperature sensing results corresponding to the target user, which can improve the accuracy of identifying the temperature sensation of the target user.

[0238] Optionally, the controller may adopt statistical methods including but not limited to the mean, mode, median, etc. of multiple first temperature sensing results.

[0239] For example, taking the majority as an example, the air conditioner collects the facial area temperature of the target user and the corresponding indoor environment temperature, and inputs the facial area temperature and the corresponding indoor environment temperature into the temperature sensing recognition model to obtain the corresponding first temperature sensing result; assuming the preset number is 5, the first temperature sensing results output after 5 judgments by the temperature sensing recognition model are: slightly hot, slightly cold, neutral, slightly hot, slightly hot, among which the number of slightly hot is the largest, so the temperature sensing result of the target user is slightly hot.

[0240] Step 1208: Determine target operating parameters corresponding to the air conditioner according to the operating mode of the air conditioner and the temperature sensing result corresponding to at least one user.

[0241] For the description of step 1208 , please refer to the description of step 940 in the above embodiment, which will not be repeated here.

[0242] In an embodiment of the present application, the air conditioner obtains the first temperature sensing results corresponding to the target user in multiple detection cycles and integrates the first temperature sensing results of multiple detection cycles, thereby reducing the random error of a single temperature acquisition and the randomness of the results of a single pass through the temperature sensing recognition model, thereby ensuring the accuracy and stability of the temperature sensing results corresponding to the final target user.

[0243] In some embodiments, as Figure 13 As shown, the step of determining the target operating parameters corresponding to the air conditioner according to the working mode of the air conditioner and the temperature sensing result corresponding to at least one user may include the following steps 1302 to 1308.

[0244] Step 1302 : Determine the temperature sensitivity value range to which each temperature sensitivity value belongs based on the temperature sensitivity value corresponding to at least one user.

[0245] The temperature sensitivity value can be used to represent the degree of the corresponding temperature sensitivity category.

[0246] Step 1304: Determine a temperature compensation value based on each temperature sensing value range and the operating mode of the air conditioner.

[0247] In some embodiments, the controller may perform statistics on each temperature sensing value range to determine the target temperature sensing value range that includes the largest number of users, and then determine the target temperature compensation value corresponding to the target temperature sensing value range based on the correspondence between the temperature sensing value range and the temperature compensation value (as shown in Table 5).

[0248] Table 5

[0249] Temperature sensitivity range Temperature compensation value (℃) [-3,-2) +2 [-2,-1) +1 [-1,1] 0 (1,2] -1 (2,3] -2

[0250] Optionally, the controller can also obtain the outdoor environment temperature Tout, the user's clothing damping clo and the user's human metabolic rate M, and determine the first temperature compensation value corresponding to each user in the indoor environment through the above Table 3; the average of the first temperature compensation values ​​corresponding to each user and the sum of the target temperature compensation value are used as the temperature compensation value of the current air conditioner.

[0251] Step 1306: Based on the temperature compensation value, the current set temperature of the air conditioner is temperature compensated to obtain the target temperature.

[0252] Optionally, the controller may use the sum of the current set temperature of the air conditioner and the temperature compensation value as the target temperature.

[0253] Step 1308: Adjust the target operating parameters corresponding to the air conditioner according to the target temperature.

[0254] In an embodiment of the present application, the air conditioner maps the temperature perception value of each user to a corresponding numerical range, so that the temperature perception state of each user is quantitatively graded, providing a basis for determining the temperature compensation value, and determining the temperature compensation value according to the current mode of the air conditioner. Based on the temperature compensation value, the current set temperature is corrected in real time to obtain a target temperature that takes into account both group comfort and individual temperature perception. The target operating parameters are adjusted based on the target temperature, so that the air conditioner can meet the comfort needs of the general population while also realizing the personalized comfort needs of each user.

[0255] In some embodiments, the air conditioner further includes an air supply component; the air supply component is configured to deliver airflow to the indoor environment, and the air supply range covered by the air supply component is divided into multiple air supply areas; the target operating parameters include the air supply direction of the air supply component.

[0256] Alternatively, as Figure 14 As shown, from a top-down perspective, the air supply range covered by the air supply component is a sector with a radius of 5 meters and an angular arc of 120°. According to the area of ​​the sector, the air supply range can be equally divided into 5 air supply areas.

[0257] In some embodiments, as Figure 15 As shown, the step of determining the target operating parameters corresponding to the air conditioner according to the working mode of the air conditioner and the temperature sensing result corresponding to at least one user may include the following steps 1502 to 1510.

[0258] Step 1502: Obtain location information corresponding to at least one user.

[0259] In some embodiments, the air conditioner may further include a positioning module configured to determine a user position corresponding to at least one user in the indoor environment corresponding to the air conditioner.

[0260] Optionally, the positioning module may include a short-range communication module. The short-range communication module is configured to establish short-range communication connections with multiple terminal devices in the indoor environment corresponding to the air conditioner, receive short-range communication signals sent by each terminal device, and determine the distance between the user corresponding to each terminal device and the air conditioner based on the short-range communication signals sent by each terminal device, so as to obtain location information corresponding to at least one user.

[0261] In indoor environments, each user has a corresponding terminal device, which can be a mobile phone, computer, wearable device, etc. Since various terminal devices currently have short-range communication functions, users no longer need to carry additional positioning devices specifically for communicating with the positioning module. They can simply use existing terminal devices to achieve positioning communication with the air conditioner. The connection process of short-range communication is generally simple and can be established quickly, thus ensuring the convenience and low cost of user positioning while ensuring accurate positioning.

[0262] Optionally, the short-range communication signal sent by the terminal device may include but is not limited to device identification information, signal strength information, timestamp information, etc. The device identification information is used to uniquely identify the terminal device and may include the terminal device's MAC address, Bluetooth address, corresponding user, etc., so that the air conditioner's positioning module can distinguish different users and terminal devices through the device identification information. The signal strength information may include RSSI (Received Signal Strength Indicator), and the positioning module can estimate the distance between the terminal device and the air conditioner based on the signal strength information and the signal propagation model. The timestamp information is used to calculate the propagation time of the short-range communication signal to determine the distance between the air conditioner and the terminal device.

[0263] In some embodiments, the controller may also obtain location information corresponding to at least one user based on historical data; the historical data may include the historical user locations of different users over different time periods. For example, in an office setting, since the user locations of each user in the office setting are relatively fixed and their movements are relatively regular, the controller may record the historical locations of each user and use this information to determine the current user location of each user.

[0264] Step 1504: Determine the air supply area corresponding to each user based on the location information corresponding to each user.

[0265] In some embodiments, the controller may determine the air supply area corresponding to the air supply range of each user position based on the air supply range corresponding to each air supply area and each user position.

[0266] Step 1506: Determine the target temperature sensation corresponding to each ventilation area according to the temperature sensation results corresponding to each user included in each ventilation area.

[0267] In some embodiments, the controller may use the temperature sensing result that appears the most times among the multiple temperature sensing results included in each air supply area as the target temperature sensing corresponding to each air supply area.

[0268] Step 1508 : determining a target air supply area from the plurality of air supply areas based on the working mode of the air conditioner, the target temperature corresponding to each air supply area, and the number of users included in each air supply area.

[0269] Optionally, the controller determines the target air supply area from multiple air supply areas based on the working mode of the air conditioner, the target temperature corresponding to each air supply area, and the number of users included in each air supply area, in accordance with the principle of "air panel cooling prioritizes air away from people and supplies air to the heat-sensitive area, and heating prioritizes air blowing on people and supplies air to the cold-sensitive area".

[0270] Specifically, when the air conditioner is in cooling mode, if a certain air supply area has the largest number of users and the target temperature result corresponding to this air supply area is relatively hot, then this air supply area can be determined as the target air supply area; if the target temperature result of this air supply area is relatively cold, then the air supply component should avoid this air supply area as much as possible when delivering airflow. If there are multiple air supply areas with target temperature results corresponding to them that are all relatively hot, then these air supply areas can all be designated as target air supply areas, and the air supply component can be controlled to deliver airflow to the multiple target air supply areas in a sweeping manner.

[0271] Step 1510: Adjust the air supply direction of the air supply assembly according to the target air supply area so that the air supply assembly delivers airflow toward the target air supply area.

[0272] In an embodiment of the present application, by comprehensively considering the target temperature sensation, number of users and working mode of the air conditioner corresponding to each air supply area, a target air supply area is selected from multiple air supply areas, and the air supply component is made to transport airflow toward the target air supply area, thereby meeting the temperature sensation requirements of the users in the target air supply area, so that the air conditioner can achieve precise air supply and avoid ineffective energy consumption caused by global air supply.

[0273] like Figure 16 As shown, in one embodiment, a parameter control method for an air conditioner is provided, which can be applied to the above-mentioned air conditioner 100. The method may include the following steps 1610 to 1630.

[0274] Step 1610: Acquire a first facial area temperature corresponding to a target user collected by an infrared sensor, and acquire a first indoor environment temperature collected by a temperature sensor; the target user is any user in the indoor environment where the air conditioner is located.

[0275] Step 1620: Input the first facial region temperature and the first indoor environment temperature into a temperature sensing recognition model, and determine a temperature sensing result corresponding to the target user based on the first facial region temperature and the first indoor environment temperature through the temperature sensing recognition model.

[0276] The first-level decision condition of the temperature sensing recognition model is whether the indoor ambient temperature is less than or equal to the first ambient temperature threshold. The second-level decision condition of the temperature sensing recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold. The temperature sensing result includes a temperature sensing category, and the temperature sensing category includes a first temperature sensing, a second temperature sensing, or a third temperature sensing. The first temperature sensing indicates that the user's temperature sensation is relatively cold, the second temperature sensing indicates that the user's temperature sensation is relatively hot, and the third temperature sensing indicates that the user's temperature sensation is neutral.

[0277] Step 1630: Determine target operating parameters corresponding to the air conditioner based on the operating mode of the air conditioner and the temperature sensing result corresponding to at least one user in the indoor environment.

[0278] In some embodiments, step 1620 may include: determining whether the first indoor ambient temperature is less than or equal to the first ambient temperature threshold through a temperature sensing recognition model; when the first indoor ambient temperature is greater than the first ambient temperature threshold, determining through the temperature sensing recognition model that the temperature sensing result corresponding to the target user is the second temperature sensing or the third temperature sensing; if the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, determining through the temperature sensing recognition model whether the first cheek temperature is less than or equal to the first cheek temperature threshold; when the first cheek temperature is greater than the first cheek temperature threshold, determining through the temperature sensing recognition model that the temperature sensing result corresponding to the target user is the second temperature sensing or the third temperature sensing.

[0279] Optionally, the facial area temperature includes the nose temperature; the third-level decision conditions of the temperature sensing recognition model include whether the indoor ambient temperature is less than or equal to the second ambient temperature threshold, whether the nose temperature is less than or equal to the first nose temperature threshold, whether the cheek temperature is less than or equal to the second cheek temperature threshold, and whether the eye temperature is less than or equal to the first eye temperature threshold; the second ambient temperature threshold is less than the first ambient temperature threshold, and the second cheek temperature threshold is greater than the first cheek temperature threshold.

[0280] In some embodiments, the fourth-level decision conditions of the temperature sensing recognition model include whether the eye temperature is less than or equal to the second eye temperature threshold, whether the nose temperature is less than or equal to the second nose temperature threshold, whether the cheek temperature is less than or equal to the third cheek temperature threshold, whether the forehead temperature is less than or equal to the second forehead temperature threshold, whether the cheek temperature is less than or equal to the fourth cheek temperature threshold, whether the forehead temperature is less than or equal to the third forehead temperature threshold, and whether the nose temperature is less than or equal to the third nose temperature threshold; wherein, the second eye temperature threshold is less than the first eye temperature threshold; the second nose temperature threshold is less than the first nose temperature threshold, and the third nose temperature threshold is greater than the first nose temperature threshold; the third cheek temperature threshold is greater than the first cheek temperature threshold and less than the second cheek temperature threshold, and the fourth cheek temperature threshold is greater than the second cheek temperature threshold; the second forehead temperature threshold is greater than the third forehead temperature threshold, and the third forehead temperature threshold is greater than the first forehead temperature threshold.

[0281] In some embodiments, the parameter control method of the air conditioner also includes: if the first cheek temperature is less than or equal to the first cheek temperature threshold, then determining whether the first indoor ambient temperature is less than or equal to the second ambient temperature threshold through the temperature sensing recognition model; when the first indoor ambient temperature is less than or equal to the second ambient temperature threshold, determining the temperature sensing result corresponding to the target user as the first temperature sensing or the third temperature sensing through the temperature sensing recognition model; if the first indoor ambient temperature is greater than the second ambient temperature threshold, then determining whether the first nose temperature is less than or equal to the second nose temperature threshold through the temperature sensing recognition model; when the first nose temperature is less than or equal to the second nose temperature threshold, determining the temperature sensing result corresponding to the target user as the first temperature sensing or the third temperature sensing through the temperature sensing recognition model; when the first nose temperature is greater than the second nose temperature threshold, determining the temperature sensing result corresponding to the target user as the second temperature sensing or the third temperature sensing through the temperature sensing recognition model.

[0282] Optionally, the fifth-layer decision conditions of the temperature recognition model include: whether the nose temperature is less than or equal to a fourth nose temperature threshold; whether the cheek temperature is less than or equal to a fifth cheek temperature threshold; whether the indoor ambient temperature is less than or equal to a third ambient temperature threshold; whether the indoor ambient temperature is less than or equal to a fourth ambient temperature threshold; whether the indoor ambient temperature is less than or equal to a fifth ambient temperature threshold; whether the forehead temperature is less than or equal to a fourth forehead temperature threshold; whether the indoor ambient temperature is less than or equal to a sixth ambient temperature threshold; whether the nose temperature is less than or equal to a fifth nose temperature threshold; whether the indoor ambient temperature is less than or equal to a seventh ambient temperature threshold; whether the forehead temperature is less than or equal to the fifth forehead temperature threshold;

[0283] Among them, the fourth nose temperature threshold is less than the second nose temperature threshold, the fifth nose temperature threshold is greater than the first nose temperature threshold and less than the third nose temperature threshold; the fifth cheek temperature threshold is less than the first cheek temperature threshold; the third ambient temperature threshold is greater than the fifth ambient temperature threshold, the fourth ambient temperature threshold is greater than the second ambient temperature threshold, the fifth ambient temperature threshold is greater than the fourth ambient temperature threshold, the sixth ambient temperature threshold is greater than the third ambient temperature threshold and less than the first ambient temperature threshold, and the seventh ambient temperature threshold is greater than the first ambient temperature threshold; the fourth forehead temperature threshold is less than the first forehead temperature threshold, and the fifth forehead temperature threshold is greater than the second forehead temperature threshold.

[0284] In some embodiments, the parameter control method of the air conditioner also includes: if the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, and the first cheek temperature is less than or equal to the first cheek temperature threshold, and the first indoor ambient temperature is greater than the second ambient temperature threshold, and the first nose temperature is less than or equal to the second nose temperature threshold, then the temperature sensing recognition model is used to determine whether the first cheek temperature is less than or equal to the fifth cheek temperature threshold; when the first cheek temperature is less than or equal to the fifth cheek temperature threshold, the temperature sensing recognition model is used to determine that the temperature sensing result corresponding to the target user is the third temperature sensing; when the first cheek temperature is greater than the fifth cheek temperature threshold, the temperature sensing recognition model is used to determine that the temperature sensing result corresponding to the target user is the first temperature sensing.

[0285] Optionally, the temperature sensing recognition model includes five layers of decision conditions and a total of 25 decision branches; the leaf node corresponding to each decision branch is the temperature sensing result.

[0286] In some embodiments, step 1610 further includes: obtaining a first facial area temperature corresponding to the target user collected by the infrared sensor in the current detection cycle, and obtaining a first indoor environment temperature collected by the temperature sensor in the current detection cycle.

[0287] Optionally, step 1620 also includes: inputting the first facial area temperature and the first indoor environment temperature into the temperature sensing recognition model, and determining the first temperature sensing result corresponding to the target user and the current detection cycle based on the first facial area temperature and the first indoor environment temperature through the temperature sensing recognition model; and determining the temperature sensing result corresponding to the target user based on the first temperature sensing results corresponding to the target user and at least two detection cycles.

[0288] In some specific embodiments, Figure 17As shown, in the stable comfort stage of the temperature sensation of each user in the indoor environment, the air conditioner obtains the first facial area temperature corresponding to the target user collected by the infrared sensor, and obtains the first indoor environment temperature collected by the temperature sensor; the first facial area temperature and the first indoor environment temperature are input into the temperature sensation recognition model, and the temperature sensation recognition model determines the temperature sensation result corresponding to the target user according to the first facial area temperature and the first indoor environment temperature; when it is determined that the temperature sensation result of the user is neutral, the current set temperature Tset is kept unchanged; if it is determined that the temperature sensation result of the user is cold, the current set temperature needs to be increased; if it is determined that the temperature sensation result of the user is hot, the current set temperature needs to be lowered.

[0289] The air conditioner adjusts the current set temperature stored in the controller based on the user's temperature sensing result. If the user's temperature sensing result indicates a cooler temperature, the current set temperature is increased by 1°C. If the user's temperature sensing result indicates a warmer temperature, the current set temperature is decreased by 1°C, resulting in the target temperature being changed.

[0290] The air conditioner determines whether Tset+3 < target temperature < Tset-3. If not, the target temperature is not automatically determined by the air conditioner based on the temperature sensing model, but is a temperature customized by the user via the remote control. In this case, the target temperature is set to the maximum value of Tset±3. If so, the target temperature is set to the target temperature after the modification.

[0291] The air conditioner also determines the relative humidity Rhset according to the target temperature through the temperature and humidity comparison table (Table 1), so that the air conditioner determines the target operating parameters of the air conditioner (for example, adjust the speed of the indoor fan, such as Figure 8 shown).

[0292] In an embodiment of the present application, the air conditioner obtains the user's facial area temperature and the indoor environment temperature, and after making a preliminary judgment based on the first-level decision condition of the temperature perception recognition model (whether the indoor environment temperature is less than or equal to the first environment temperature threshold), it further adjusts the first-level recognition result in combination with the user's different facial area temperatures (cheek temperature and forehead temperature), which can more accurately quantify the user's individual temperature perception and form a temperature perception decision branch, so that the air conditioner controller can accurately identify and predict the temperature perception results of each user in the indoor environment; and, the controller adjusts the operating parameters of the air conditioner according to the accurate temperature perception result corresponding to at least one user, so that the indoor environment temperature can more accurately meet the temperature requirements of at least one user in the indoor environment, so that the air conditioner can not only meet the comfort needs of the general population, but also realize the personalized comfort needs of each user.

[0293] like Figure 18As shown, in one embodiment, a parameter control device 1800 for an air conditioner is provided, which can be applied to the above-mentioned air conditioner. The parameter control device 1800 for an air conditioner can include a temperature acquisition module 1810 , a temperature sensor recognition module 1820 , and a parameter adjustment module 1830 .

[0294] The temperature acquisition module 1810 is used to acquire the first facial area temperature corresponding to the target user collected by the infrared sensor, and to acquire the first indoor environment temperature collected by the temperature sensor; the target user is any user in the indoor environment where the air conditioner is located.

[0295] Temperature recognition module 1820 is configured to input the first facial region temperature and the first indoor ambient temperature into a temperature recognition model. The temperature recognition model then determines a temperature perception result corresponding to the target user based on the first facial region temperature and the first indoor ambient temperature. The first-level decision condition of the temperature recognition model is whether the indoor ambient temperature is less than or equal to a first ambient temperature threshold. The second-level decision condition of the temperature recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold. The temperature perception result includes a temperature perception category, which includes a first temperature perception, a second temperature perception, or a third temperature perception. The first temperature perception indicates that the user's temperature perception is cool, the second temperature perception indicates that the user's temperature perception is hot, and the third temperature perception indicates that the user's temperature perception is neutral.

[0296] The parameter adjustment module 1830 is used to determine the target operating parameters corresponding to the air conditioner according to the operating mode of the air conditioner and the temperature sensing results corresponding to at least one user in the indoor environment.

[0297] In an embodiment of the present application, the air conditioner obtains the user's facial area temperature and the indoor environment temperature, and after making a preliminary judgment based on the first-level decision condition of the temperature perception recognition model (whether the indoor environment temperature is less than or equal to the first environment temperature threshold), it further adjusts the first-level recognition result in combination with the user's different facial area temperatures (cheek temperature and forehead temperature), which can more accurately quantify the user's individual temperature perception and form a temperature perception decision branch, so that the air conditioner controller can accurately identify and predict the temperature perception results of each user in the indoor environment; and, the controller adjusts the operating parameters of the air conditioner according to the accurate temperature perception result corresponding to at least one user, so that the indoor environment temperature can more accurately meet the temperature requirements of at least one user in the indoor environment, so that the air conditioner can not only meet the comfort needs of the general population, but also realize the personalized comfort needs of each user.

[0298] An embodiment of the present application discloses a computer-readable storage medium storing a computer program, wherein the computer program implements the methods described in the above embodiments when executed by a processor.

[0299] The embodiments of the present application disclose a computer program product, including a computer program, and the computer program can be executed by a processor to implement the methods described in the above embodiments.

[0300] It should be understood that the references to "one embodiment" or "an embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present application. Therefore, the references to "in one embodiment" or "in an embodiment" throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required for the present application.

[0301] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the above-mentioned processes does not necessarily mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0302] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0303] The above describes in detail an air conditioner and a parameter control method for an air conditioner disclosed in the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is intended only to facilitate understanding of the method and core concept of the present application. Furthermore, those skilled in the art will appreciate that variations in the specific implementation methods and scope of application may occur based on the concepts of the present application. In summary, the contents of this specification should not be construed as limiting the present application.

Claims

1. An air conditioner, characterized in that: The air conditioner comprises: a refrigerant circulation circuit, comprising a compressor, an outdoor heat exchanger, and an indoor heat exchanger connected in sequence, wherein the refrigerant circulation circuit is configured to circulate the refrigerant; a temperature sensor configured to collect an indoor ambient temperature corresponding to the indoor environment in which the air conditioner is located; An infrared sensor is configured to collect a facial area temperature corresponding to at least one user in the indoor environment; the facial area temperature includes a cheek temperature and a forehead temperature; The controller is configured as: Acquiring a first facial area temperature corresponding to a target user collected by the infrared sensor, and acquiring a first indoor environment temperature collected by the temperature sensor; the target user is any user in the indoor environment; The first facial region temperature and the first indoor ambient temperature are input into a temperature perception recognition model, and a temperature perception result corresponding to the target user is determined by the temperature perception recognition model based on the first facial region temperature and the first indoor ambient temperature; a first-level decision condition of the temperature perception recognition model is whether the indoor ambient temperature is less than or equal to a first ambient temperature threshold, and a second-level decision condition of the temperature perception recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold; the temperature perception result includes a temperature perception category, and the temperature perception category includes a first temperature perception, a second temperature perception, or a third temperature perception, the first temperature perception indicating that the user's temperature perception is cold, the second temperature perception indicating that the user's temperature perception is hot, and the third temperature perception indicating that the user's temperature perception is neutral; The target operating parameters corresponding to the air conditioner are determined according to the operating mode of the air conditioner and the temperature sensing result corresponding to the at least one user.

2. The air conditioner according to claim 1, characterized in that Determining a temperature sensing result corresponding to the target user according to the first facial area temperature and the first indoor ambient temperature by using the temperature sensing recognition model includes: determining, by the temperature sensing recognition model, whether the first indoor ambient temperature is less than or equal to the first ambient temperature threshold; When the first indoor ambient temperature is greater than the first ambient temperature threshold, determining, by the temperature perception recognition model, that the temperature perception result corresponding to the target user is the second temperature perception or the third temperature perception; If the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, determining, by the temperature perception recognition model, whether the first cheek temperature in the first facial region temperature is less than or equal to the first cheek temperature threshold; When the first cheek temperature is greater than the first cheek temperature threshold, the temperature sensation recognition model is used to determine that the temperature sensation result corresponding to the target user is the second temperature sensation or the third temperature sensation.

3. The air conditioner according to claim 2, characterized in that The facial area temperature includes the nose temperature and the eye temperature; the third-level decision conditions of the temperature sensing recognition model include whether the indoor ambient temperature is less than or equal to the second ambient temperature threshold, whether the nose temperature is less than or equal to the first nose temperature threshold, whether the cheek temperature is less than or equal to the second cheek temperature threshold, and whether the eye temperature is less than or equal to the first eye temperature threshold; the second ambient temperature threshold is less than the first ambient temperature threshold, and the second cheek temperature threshold is greater than the first cheek temperature threshold.

4. The air conditioner according to claim 3, characterized in that The fourth layer decision conditions of the temperature recognition model include whether the eye temperature is less than or equal to the second eye temperature threshold, whether the nose temperature is less than or equal to the second nose temperature threshold, whether the cheek temperature is less than or equal to the third cheek temperature threshold, whether the forehead temperature is less than or equal to the second forehead temperature threshold, whether the cheek temperature is less than or equal to the fourth cheek temperature threshold, whether the forehead temperature is less than or equal to the third forehead temperature threshold, and whether the nose temperature is less than or equal to the third nose temperature threshold; Among them, the second eye temperature threshold is lower than the first eye temperature threshold; the second nose temperature threshold is lower than the first nose temperature threshold, and the third nose temperature threshold is higher than the first nose temperature threshold; the third cheek temperature threshold is higher than the first cheek temperature threshold and lower than the second cheek temperature threshold, and the fourth cheek temperature threshold is higher than the second cheek temperature threshold; the second forehead temperature threshold is higher than the third forehead temperature threshold, and the third forehead temperature threshold is higher than the first forehead temperature threshold.

5. The air conditioner according to claim 4, characterized in that After determining whether the first cheek temperature is less than or equal to the first cheek temperature threshold by using the temperature recognition model, the controller is further configured to: If the first cheek temperature is less than or equal to the first cheek temperature threshold, determining whether the first indoor ambient temperature is less than or equal to the second ambient temperature threshold by using the temperature perception recognition model; When the first indoor ambient temperature is less than or equal to the second ambient temperature threshold, determining, by the temperature perception recognition model, that the temperature perception result corresponding to the target user is the first temperature perception or the third temperature perception; If the first indoor ambient temperature is greater than the second ambient temperature threshold, determining, by the temperature perception recognition model, whether the first nose temperature in the first facial region temperature is less than or equal to the second nose temperature threshold; When the first nose temperature is less than or equal to the second nose temperature threshold, determining, by the temperature sensation recognition model, a temperature sensation result corresponding to the target user as the first temperature sensation or the third temperature sensation; When the first nose temperature is greater than the second nose temperature threshold, the temperature sensation recognition model is used to determine that the temperature sensation result corresponding to the target user is the second temperature sensation or the third temperature sensation.

6. The air conditioner according to claim 4, characterized in that The fifth layer decision conditions of the temperature recognition model include: whether the nose temperature is less than or equal to a fourth nose temperature threshold; Whether the cheek temperature is less than or equal to the fifth cheek temperature threshold; Whether the indoor ambient temperature is less than or equal to a third ambient temperature threshold; whether the indoor ambient temperature is less than or equal to a fourth ambient temperature threshold; Whether the indoor ambient temperature is less than or equal to the fifth ambient temperature threshold; Whether the forehead temperature is less than or equal to the fourth forehead temperature threshold; Whether the indoor ambient temperature is less than or equal to a sixth ambient temperature threshold; Whether the nose temperature is less than or equal to the fifth nose temperature threshold; Whether the indoor ambient temperature is less than or equal to the seventh ambient temperature threshold; Whether the forehead temperature is less than or equal to the fifth forehead temperature threshold; The fourth nose temperature threshold is lower than the second nose temperature threshold, and the fifth nose temperature threshold is higher than the first nose temperature threshold and lower than the third nose temperature threshold; the fifth cheek temperature threshold is less than the first cheek temperature threshold; The third ambient temperature threshold is greater than the fifth ambient temperature threshold, the fourth ambient temperature threshold is greater than the second ambient temperature threshold, the fifth ambient temperature threshold is greater than the fourth ambient temperature threshold, the sixth ambient temperature threshold is greater than the third ambient temperature threshold and less than the first ambient temperature threshold, and the seventh ambient temperature threshold is greater than the first ambient temperature threshold; The fourth forehead temperature threshold is lower than the first forehead temperature threshold, and the fifth forehead temperature threshold is higher than the second forehead temperature threshold.

7. The air conditioner according to claim 6, characterized in that Determining a temperature sensing result corresponding to the target user according to the first facial area temperature and the first indoor ambient temperature by using the temperature sensing recognition model includes: If the first indoor ambient temperature is less than or equal to the first ambient temperature threshold, the first cheek temperature is less than or equal to the first cheek temperature threshold, the first indoor ambient temperature is greater than the second ambient temperature threshold, and the first nose temperature is less than or equal to the second nose temperature threshold, determining whether the first cheek temperature is less than or equal to the fifth cheek temperature threshold using the temperature perception recognition model; When the first cheek temperature is less than or equal to the fifth cheek temperature threshold, determining, by the temperature sensation recognition model, a temperature sensation result corresponding to the target user as the third temperature sensation; When the first cheek temperature is greater than the fifth cheek temperature threshold, the temperature sensation recognition model is used to determine that the temperature sensation result corresponding to the target user is the first temperature sensation.

8. The air conditioner according to any one of claims 1 to 7, characterized in that: The temperature sensing recognition model includes five layers of decision conditions and a total of 25 decision branches; the leaf node corresponding to each decision branch is the temperature sensing result.

9. The air conditioner according to claim 1, wherein: The step of obtaining the first facial area temperature corresponding to the target user collected by the infrared sensor and obtaining the first indoor environment temperature collected by the temperature sensor includes: Acquire a first facial area temperature corresponding to the target user collected by the infrared sensor in a current detection period, and acquire a first indoor ambient temperature collected by the temperature sensor in the current detection period; Inputting the first facial region temperature and the first indoor environment temperature into a temperature sensing recognition model, and determining a temperature sensing result corresponding to the target user based on the first facial region temperature and the first indoor environment temperature through the temperature sensing recognition model, includes: inputting the first facial region temperature and the first indoor ambient temperature into a temperature sensing recognition model, and determining, by the temperature sensing recognition model, a first temperature sensing result of the target user corresponding to the current detection period based on the first facial region temperature and the first indoor ambient temperature; The temperature sensing result corresponding to the target user is determined according to the first temperature sensing results corresponding to the target user and at least two detection cycles.

10. A parameter control method for an air conditioner, characterized in that: Applied to an air conditioner, the method comprises: Acquiring a first facial area temperature corresponding to a target user collected by an infrared sensor, and acquiring a first indoor environment temperature collected by a temperature sensor; the target user is any user in the indoor environment where the air conditioner is located; The first facial region temperature and the first indoor ambient temperature are input into a temperature perception recognition model, and a temperature perception result corresponding to the target user is determined by the temperature perception recognition model based on the first facial region temperature and the first indoor ambient temperature; a first-level decision condition of the temperature perception recognition model is whether the indoor ambient temperature is less than or equal to a first ambient temperature threshold, and a second-level decision condition of the temperature perception recognition model includes whether the cheek temperature is less than or equal to the first cheek temperature threshold and whether the forehead temperature is less than or equal to the first forehead temperature threshold; the temperature perception result includes a temperature perception category, and the temperature perception category includes a first temperature perception, a second temperature perception, or a third temperature perception, the first temperature perception indicating that the user's temperature perception is cold, the second temperature perception indicating that the user's temperature perception is hot, and the third temperature perception indicating that the user's temperature perception is neutral; The target operating parameters corresponding to the air conditioner are determined according to the operating mode of the air conditioner and the temperature sensing results corresponding to at least one user in the indoor environment.

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