Air conditioner control method, air conditioner and readable storage medium

Abstract

The application provides an air conditioner control method, an air conditioner and a readable storage medium, relates to the technical field of air conditioner control, and the air conditioner control method comprises the following steps: calculating a PMV value according to a first model, and controlling according to the PMV value; before the step of controlling according to the PMV value, the following steps are further included: calculating a body sensation temperature value according to a second model, calculating a body sensation PMV value according to the body sensation temperature value, and calculating a body sensation temperature change rate; the PMV value is corrected by performing weighted calculation on the PMV value and the body sensation PMV value, and the weight coefficient of the body sensation PMV value is determined according to the body sensation temperature change rate. The body sensation temperature can more directly reflect the actual change of the environment state perceived by the human body, the PMV is corrected according to the body sensation temperature, and thus the air conditioner control can bring better body sensation to the user and provide a more comfortable environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioner control, and in particular to an air conditioner control method, an air conditioner and a readable storage medium. BACKGROUND

[0002] With the rapid development of sensor technology and heat conduction theory, the traditional temperature control method, i.e. the method of simply relying on the set temperature value to regulate the running state of the air conditioner, is widely applied due to its simplicity and directness, but it is obviously limited in that it fails to comprehensively consider the key factors affecting the human comfort experience. These factors include but are not limited to environmental humidity, air flow speed, average radiant temperature, and the heat exchange rate between the human body and the environment. These parameters are crucial to the thermal comfort of individuals, and the traditional single temperature control mode often fails to comprehensively reflect these complex interactions.

[0003] Based on the in-depth research on the air conditioner control method, the PMV (Predicted Mean Vote) model provides a comprehensive index for evaluating the thermal comfort of the environment as a major breakthrough. PMV (Predicted Mean Vote) is a comprehensive index for evaluating the thermal environment, which is proposed on the basis of the thermal comfort equation of Professor P. O. Fanger of the Technical University of Denmark. This index takes into account six factors, including human activity level, clothing condition, air temperature, average radiant temperature, air flow speed and air humidity, and obtains a value representing the thermal sensation of the human body through a certain calculation model. The value range is generally between -3 and +3. Among them, "-3" represents cold, "-2" represents cool, "-1" represents slightly cool, "0" represents moderate (thermal comfort state), "+1" represents slightly warm, "+2" represents warm, and "+3" represents hot. In air conditioner control, PMV provides a direct thermal comfort reference for users. For example, in an office environment, the temperature, humidity, wind speed and other environmental parameters in the room are collected through sensors, combined with the activity state of the personnel (such as sitting at the office) and the clothing condition (general office dress), and the PMV value is calculated. If the PMV value is +2, it means that the environment is warm, and the air conditioner can adjust the cooling according to this to achieve a comfortable state (PMV = 0).

[0004] However, the PMV model is mainly based on the analysis of global environmental conditions, and may not meet the user's requirements under certain conditions. For example, after the user enters or leaves the environment, the PMV control may over-adjust to keep the PMV value within the comfortable range, causing rapid changes in the environment (temperature, humidity, wind speed), causing thermal stress or cold stress of the user. SUMMARY

[0005] The first object of the present application is to provide an air conditioner control method that combines the PMV with the sensible temperature to make the control strategy more close to the individual's thermal comfort experience and improve the individual's comfort.

[0006] The second object of the present application is to provide an air conditioner that improves the individual's comfort.

[0007] The third object of the present application is to provide a readable storage medium for implementing the above-mentioned air conditioner control method.

[0008] The air conditioner control method provided by the first object of the present application comprises calculating a PMV value according to a first model and controlling according to the PMV value; before the step of controlling according to the PMV value, the method further comprises calculating a sensible temperature value according to a second model, calculating a sensible PMV value according to the sensible temperature value, and calculating a sensible temperature change rate; and calculating a corrected PMV value by weighting the PMV value and the sensible PMV value, wherein the weight coefficient of the sensible PMV value is determined according to the sensible temperature change rate.

[0009] As can be seen from the above scheme, in view of the limitations of the PMV model, the present scheme combines the PMV theory with the sensible temperature monitoring and proposes an air conditioner adjustment scheme based on the joint control of PMV and sensible temperature. Unlike single PMV control, the scheme acquires and analyzes the individual's sensible temperature in real time, dynamically adjusts the air conditioner operating parameters (compressor frequency, air speed, etc.) in the case of rapid change of the individual's sensible temperature, realizes more accurate environmental regulation, and improves the user experience comfort. The sensible temperature can more directly reflect the actual environmental state change perceived by the human body. The PMV is corrected to provide a more comfortable environment for the user.

[0010] Further, the second model is associated with the temperature value at the human body, the humidity value at the human body, and the air speed at the human body, the temperature value at the human body is calculated according to the human body radiation temperature and the environmental temperature, the air speed at the human body is calculated according to the air outlet air speed and the individual position data, or calculated according to the return air outlet air speed and the individual position data, or calculated according to the air outlet air speed, the return air outlet air speed, and the individual position data.

[0011] From the above, the body temperature of the human body is calculated, and the temperature at the place where the human body is located, the atmospheric humidity, and the wind speed are calculated. The temperature at the place where the human body is located is determined by the environment and the human body radiation temperature. For the air conditioner, the working environment is basically indoor, so if there is no other wind source, the indoor wind speed and direction are determined by the air conditioner control outlet. Therefore, the wind speed at the human body can be calculated by the outlet wind speed, the return air inlet wind speed, and the user position, or can be obtained by using a wind speed instrument. The human body temperature value can be obtained by using an infrared imaging sensor. The rate of change of the apparent temperature can more directly reflect the change of the human body's comfort level under the change of the environment. The apparent temperature value, the indoor human body humidity value, and the human body wind speed can ensure the accuracy of the corrected PMV value, and further ensure the regulation result to improve the apparent comfort of the individual in the room.

[0012] Further, in the step of correcting the PMV value by weighting the PMV value and the apparent PMV value, the corrected PMV value is calculated according to the following formula: PMV = a x PMV 体感 +(1-a) x PMV; in the formula, a is a weight coefficient, and the greater the rate of change of the apparent temperature, the greater the weight coefficient a.

[0013] From the above, the rate of change of the apparent temperature can more directly reflect the change of the human body's comfort level under the change of the environment. The greater the rate of change of the apparent temperature, the greater the weight of the apparent PMV in the calculation. When the system detects that the personnel changes or the rate of change of the apparent temperature is high, the weight parameter a can be set to 1 or close to 1; and when the detected rate of change of the apparent temperature of the human body is lower than the preset rate of change, the weight parameter a can be set to 0 or close to 0. The corrected PMV value obtained by the calculation is more in line with the apparent situation of the individual, and the control according to the apparent situation can achieve better apparent comfort for the individual.

[0014] Further, the weight coefficient a takes different values according to different levels of the rate of change of the apparent temperature.

[0015] Further, the step of controlling according to the PMV value includes: if the PMV value is greater than a first preset value, determining whether the rate of change of the apparent temperature is greater than a preset rate of change; and if so, adjusting the refrigeration temperature value to a floating temperature range based on the current apparent temperature value.

[0016] From the above, if the rate of change of the apparent temperature is greater than the preset rate of change, it means that the user feels that the environmental temperature is changing rapidly, which may cause the user to have heat stress or cold stress. At this time, the system adjusts the refrigeration temperature value to (apparent temperature value ± 2) to slow down the rate of change of the apparent temperature, and gradually adjusts the indoor temperature to approach the user's apparent temperature; this process will continue until the rate of change of the apparent temperature decreases to below the preset rate of change, preventing the user from feeling uncomfortable due to rapid environmental changes.

[0017] Further, if the body temperature change rate is less than or equal to the preset change rate, it is determined whether the refrigeration temperature value is within a preset temperature range, and if not, the refrigeration temperature value is adjusted to be within the preset temperature range.

[0018] As can be seen, the preset temperature can be a default value of the system, such as 25℃, but the system can also be adjusted according to the user's historical use habits, or set by the user. The temperature value ± 2 is the most comfortable temperature range, and the adjustment setting ensures that the indoor temperature is always within the most comfortable temperature range for the individual.

[0019] Further, if the refrigeration temperature value is within the preset temperature range, it is determined whether the indoor humidity value is within a preset humidity range, and if not, the indoor humidity value is adjusted to be within the preset humidity range.

[0020] Further, if the indoor humidity value is within the preset humidity range, it is determined whether the wind speed is greater than a preset wind speed, and if so, the wind speed is reduced to the preset wind speed.

[0021] As can be seen, similarly, the adjustment setting ensures that the humidity and wind speed are always within the most comfortable range for the individual.

[0022] Further, if the PMV value is less than a second preset value, the heating mode is entered, and the second preset value is less than the first preset value.

[0023] As can be seen, the determination result indicates that the current environment temperature value is low, and the heating mode needs to be entered to ensure that the environment temperature is adjusted to the most comfortable temperature range.

[0024] The second object of the present application provides an air conditioner, which comprises a processor, and the processor is used to execute a computer program stored in a memory to realize the air conditioner control method.

[0025] The third object of the present application provides a readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the air conditioner control method. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The flowchart of the air conditioner control method embodiment of the present application. DETAILED DESCRIPTION

[0027] Air conditioner and air conditioner control method embodiment

[0028] The air conditioner comprises a processor and a memory, etc., such as a single-chip microcomputer comprising a central processing unit. Moreover, the processor is used to execute a computer program stored in the memory to realize the steps of the air conditioner control method.

[0029] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0030] The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs required by at least one function (such as a sound playing function, an image playing function, etc.), etc.; and the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0031] Further, the indoor unit of the air conditioner is provided with a temperature sensor, a humidity sensor and an infrared imaging sensor.

[0032] The air conditioner control method comprises:

[0033] After the air conditioner is turned on, step S1 is performed first, that is, each data related to the PMV value is acquired, and then the PMV value is calculated according to the acquired parameters and a preset first model. In the present application, the calculated PMV value is defined as an environmental PMV value.

[0034] Thermal adaptation (PMV) model and calculation: PMV is used to predict the average thermal feeling vote of most people in a thermal balance environment, and is a relatively comprehensive evaluation index, but PMV involves many elements and has a high requirement on the accuracy of collected data. The PMV value ranges from -3 to +3, and the specific meanings are as follows:

[0035]

[0036] The PMV value calculation formula, that is, the first model, is as follows:

[0037] PMV = [0.303exp(-0.036M) + 0.0275] {M - W - 3.05 [5.733 - 0.007(M - W) - P a ] - 0.42(M - W - 58.2) - 0.0173M(5.867 - P a ) - 0.0014M(34 - t a ) - 3.96x10-8f cl [(t cl + 273)4 - (t r + 273)4] - f cl h c (t cl - t a )};

[0038] In the formula:

[0039] M - human energy metabolic rate (W / m 2 ), determined by the size of the human body activity;

[0040] W - the mechanical work done by the human body (W / m 2 ), which can be detected by millimeter wave radar or obtained by image processing after user activity;

[0041] P a is the water vapor partial pressure (p a ), which can be calculated by obtaining relative humidity RHI and air temperature t a from the temperature and humidity sensor, or can be calculated by networking to obtain positioning, geographic information, and weather information;

[0042] h c is the convective heat transfer coefficient (W / (m 2 K)), which can be calculated by obtaining air temperature, air flow rate, and clothing surface temperature from a multi-sensor array.

[0043] t r is the average radiation temperature, t cl is the clothing surface temperature, which can be calculated by obtaining relevant data from an infrared imaging sensor and then obtaining clothing thermal resistance l cl ;

[0044] Clothing thermal resistance l cl is usually determined by clothing material and thickness, which can be obtained by user manual input or using a camera of a terminal device connected to the air conditioner to scan the clothing type.

[0045] From the above calculation formula of PMV, i.e. the first model, it can be seen that the control method taking PMV as a parameter is to evaluate and calculate the user and the entire indoor environment as a whole. This means that in the case of large difference between indoor and outdoor environments (large difference in parameters such as temperature, humidity, wind speed, etc.) or when the indoor environment does not reach thermal equilibrium, the user suddenly enters or leaves this environment, and the PMV control sometimes over-adjusts the air conditioning parameters (such as compressor frequency, fan frequency, etc.), which can cause the user who has just entered the environment to experience a sharp change in the thermal sensation due to the rapid change in the air conditioning parameters, thereby causing the user to experience thermal stress or cold stress, and if the user enters this controlled environment after intense exercise or in a sick state, it is possible to cause the user to feel cold.

[0046] In addition, PMV control is set based on the average comfort of most people, but due to the significant differences in thermal comfort perception between individuals, some people may still feel uncomfortable even when the PMV value is in the comfort interval (usually between -0.5 and 0.5). This discomfort is more pronounced for those who are extremely sensitive to temperature changes. In addition, the implementation of PMV control requires the support of multiple sensors, and considering the cost problem, many related data in actual application often use default values. Parameters such as mean radiant temperature and clothing thermal resistance often cannot obtain accurate data feedback, thereby affecting the accuracy of PMV control, so the rate of change of thermal sensation is introduced as one of the standards to reduce the situation of over-adjustment, and the PMV preset value is adjusted through user comfort feedback,

[0047] In contrast, the thermal sensation temperature change pays more attention to the individual's perceived temperature change in the case of environmental change, and its calculation method is relatively simple (compared to local temperature, local thermal sensation index, etc.). Therefore, the present application aims to solve the problem of discomfort caused by the rapid change of thermal sensation due to over-adjustment of indoor environment or air conditioning when the user enters the indoor environment in the case of large difference between indoor and outdoor environments or when the indoor environment does not reach thermal equilibrium.

[0048] Therefore, in the control method of the present application, the rate of change of thermal sensation will be calculated according to the formula PMV = a x PMV 体感The PMV value is modified by weighting calculation of (1-a) x PMV to correct the environmental PMV value to a modified PMV value that is more in line with the individual's thermal sensation characteristics in the environment. A dynamic weight coefficient a is introduced in the weighting calculation process. When the system detects a change in the number of people or a high rate of change in the individual's thermal sensation temperature, the weight coefficient a can be set to 1 or close to 1. When the detected rate of change in the individual's thermal sensation temperature is lower than the preset rate of change, a can be set to 0 or close to 0. The specific value of the weight coefficient a will be adjusted according to the rate of change of the thermal sensation temperature in different gears. That is, the weight coefficient of the thermal sensation PMV value is determined according to the rate of change of the thermal sensation temperature, and the weight coefficient a takes different values according to the different gears of the rate of change of the thermal sensation temperature.

[0049] Then, the control method also performs step S2 of obtaining the relevant parameters and calculating the thermal sensation PMV value at the same time as performing step S1, and simultaneously performs step S3 of obtaining the relevant parameters and calculating the weight coefficient a.

[0050] In step S2, a thermal sensation model based on the temperature at the human body, the temperature at the human body and the wind speed at the human body is used, and the thermal sensation temperature value ST is calculated by the following formula, i.e. the second model:

[0051]

[0052] In the formula, T is the temperature at the human body, H S is the humidity at the human body, which is also the atmospheric humidity, and V is the wind speed at the human body. The second model is related to the temperature at the human body, the temperature at the human body and the wind speed at the human body. The temperature at the human body is determined by the environmental temperature and the human body radiation temperature, which can be obtained by a temperature sensor and an infrared imaging sensor on the air conditioner, respectively. For the air conditioner, the environment in which it works is basically indoor, so if there is no other air source, the indoor wind speed and direction are determined by the air outlet controlled by the air conditioner. Therefore, the wind speed at the human body is calculated according to the outlet air speed and the individual position data, or according to the return air speed and the individual position data, or according to the outlet air speed, the return air speed and the individual position data, or it can be directly calculated by a wind speed meter at the human body. The temperature at the human body can be detected by a humidity sensor of the air conditioner indoor unit, or by a humidity sensor outside the body through the same network, or by obtaining the local atmospheric humidity data through networking.

[0053] Then, the thermal sensation PMV value can be calculated and generated according to the calculated thermal sensation temperature value ST.

[0054] ​​The environmental PMV value is obtained from the air temperature. When the environmental state is not in a steady state, the air temperature is unbalanced, and the change of the thermal sensation temperature can reflect whether the environment changes rapidly. The thermal sensation PMV value is obtained by substituting the thermal sensation temperature ST near the human body into the environmental PMV calculation formula. The air temperature in the environmental PMV calculation formula is the average air temperature (dry bulb temperature) in the room, but is limited to the current environmental temperature in a non-steady state. The PMV control calculated by the average temperature in the room does not necessarily meet the actual situation.

[0055] The thermal sensation PMV calculation formula is: PMV = [0.303exp(-0.036M) + 0.0275] {M-W-3.05 [5.733-0.007(M-W)-P a ]-0.42(M-W-58.2)-0.0173M(5.867-P a )-0.0014M(34-T)-3.96x10-8f cl [(t cl +273)4-(tr+273)4]-f cl h c (t cl -T)}.

[0056] In the formula, Pa and hc are calculated based on the average air temperature, and T is the thermal sensation temperature ST.

[0057] In addition, the rate of change of the thermal sensation temperature can be calculated based on ΔST / Δt, and the weight coefficient a corresponding to the thermal sensation PMV value can be determined based on the rate of change of the thermal sensation temperature.

[0058] Then, the system performs step S4, and the PMV value is corrected by weighted calculation based on the PMV value and the thermal sensation PMV value. The corrected PMV value is calculated according to the following formula: PMV = a x PMV 体感 +(1-a) x PMV. In the formula, a is the weight coefficient, the greater the rate of change of the thermal sensation temperature, the greater the weight coefficient a. In the formula, the PMV on the left side of the equal sign is the corrected PMV value used in the subsequent steps, and the PMV on the right side of the equal sign is the environmental PMV value obtained in step S1. 体感 The PMV on the right side of the equal sign is the thermal sensation PMV value.

[0059] If the result of step S5 is no, then a judgment step S9 is performed to determine whether the PMV value is greater than the first preset value. If yes, then a step S11 is performed to enter a set adjustment mode.

[0060] If the result of step S5 is no, then a judgment step S9 is performed to determine whether the PMV value is greater than the first preset value. If yes, then a step S11 is performed to enter a set adjustment mode.

[0061] A step S12 is then performed to determine whether the rate of change of the body temperature is greater than a preset rate. If yes, then a step S16 is performed to run the low power mode, and the compressor and fan frequencies are adjusted according to the current body temperature value, with the goal of adjusting the cooling temperature value to a floating temperature range based on the current body temperature value. If the rate of change of the body temperature is greater than the preset rate, it indicates that the user is experiencing a rapid change in the ambient temperature, which can cause thermal stress or cold stress. At this time, the system adjusts the cooling temperature value to (body temperature value ± 2) to slow down the rate of change of the body temperature, and gradually adjusts the indoor temperature to be close to the user's body temperature. This process continues until the rate of change of the body temperature is reduced to below the preset rate, preventing the user from feeling uncomfortable due to the rapid change in the environment.

[0062] If the result of step S12 is no, i.e., the rate of change of the body temperature is less than or equal to the preset rate, then a step S13 is performed to determine whether the cooling temperature value is within a preset temperature range. If no, then a step S17 is performed to adjust the cooling temperature value to be within the preset temperature range. The preset temperature can be a default value set by the system, such as 25°C, but the system can also adaptively adjust it based on the user's historical usage habits, or it can be set by the user. The temperature value ± 2 is the most comfortable preset temperature range, and this adjustment ensures that the indoor temperature is always within the most comfortable preset temperature range for the individual.

[0063] If the result of step S13 is no, that is, the refrigeration temperature value is in the preset temperature range, step S14 is performed to determine whether the indoor humidity value is in the preset humidity range, and if no, step S18 is performed to start the dehumidification function or the humidification function to adjust the indoor humidity value to the preset humidity range. The indoor humidity value can be detected by a humidity sensor of the air conditioner indoor unit, can be detected by a humidity sensor other than the body of the same network, or can be obtained by networking the local atmospheric humidity data. A preferred scheme is that the indoor humidity value is the humidity value of the human body. In the embodiment, the preset humidity range is less than or equal to 65% and greater than or equal to 40%.

[0064] If the result of step S14 is no, that is, the indoor humidity value is in the preset humidity range, step S15 is performed to determine whether the wind speed is greater than the preset wind speed, and in the embodiment, the preset wind speed is 0.8 m / s. If yes, step S6 is performed to reduce the wind speed to the preset wind speed. If no, step S6 is performed.

[0065] In addition, if the result of step S9 is no, that is, the PMV value is less than the second preset value, the heating mode is entered. The second preset value is less than the first preset value. The result indicates that the current environment temperature value is low, and the heating mode needs to be entered to ensure that the environment temperature is adjusted to the most comfortable temperature range.

[0066] After steps S17, S18 and S19 are performed, steps S1, S2 and S3 are continued to be performed.

[0067] The present application mainly aims at the limitation of the PMV model, and a kind of air conditioning adjustment scheme based on PMV and combined control of body temperature is proposed by combining PMV theory and body temperature monitoring. Unlike single PMV control, the scheme can realize more accurate environmental control by real-time acquisition and analysis of individual body temperature, dynamically adjust air conditioning operating parameters (compressor frequency, wind speed and other parameters) in the case of rapid change of individual body temperature of user, to improve user experience comfort. Body temperature can more directly reflect the actual environmental state change perceived by human body. PMV is corrected, and more comfortable environment can be provided for user.

[0068] Readable storage medium embodiment

[0069] The readable storage medium of the present application can be any form of storage medium readable by the processor of the computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory and the like. The readable storage medium stores computer programs, and when the processor of the computer device reads and executes the computer programs stored in the memory, the steps of the above-mentioned air conditioner control method can be realized.

[0070] The computer program includes computer program code, which can be in the form of source code, object code, executable code, or some intermediate form. The computer-readable medium can include any entity or apparatus, record medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. capable of carrying the computer program code. It should be noted that the computer-readable medium contains content that can be appropriately added or reduced according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0071] Finally, it should be emphasized that the above description is only the preferred embodiment of the present application, and is not intended to limit the present application. For those skilled in the art, the present application can have various changes and modifications, and any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. Air conditioning control method, comprising: Calculating a PMV value according to the first model, and performing control according to the PMV value; Its characteristics are: The step of controlling according to the PMV value also includes: Calculate the perceived temperature value according to the second model, and calculate the perceived PMV value and the perceived temperature change rate according to the perceived temperature value; Performing a weighted calculation using the PMV value and the perceived PMV value to correct the PMV value, wherein a weight coefficient of the perceived PMV value is determined according to the perceived temperature change rate; In the step of performing weighted calculation using the PMV value and the somatosensory PMV value to correct the PMV value, the corrected PMV value is calculated according to the following formula: PMV=a×PMV 体感 +(1-a)×PMV; In the formula, a is a weight coefficient. The greater the rate of change of the perceived temperature, the greater the weight coefficient a.

2. The air conditioning control method according to claim 1, characterized in that: The second model is associated with the temperature value at the human body, the humidity value at the human body and the wind speed at the human body, the temperature value at the human body is calculated based on the human body radiation temperature and the ambient temperature, the wind speed at the human body is calculated based on the outlet wind speed and individual position data, or calculated based on the return air outlet wind speed and individual position data, or calculated based on the outlet wind speed, return air outlet wind speed and individual position data.

3. The air conditioning control method according to claim 2, characterized in that: The weight coefficient a takes different values ​​according to the different gears of the body temperature change rate.

4. The air conditioning control method according to any one of claims 1 to 3, characterized in that: The step of controlling according to the PMV value comprises: If the PMV value is greater than a first preset value, it is determined whether the sensible temperature change rate is greater than a preset change rate. If so, the cooling temperature value is adjusted to a floating temperature range based on the current sensible temperature value.

5. The air conditioning control method according to claim 4, characterized in that: If the perceived temperature change rate is less than or equal to the preset change rate, it is determined whether the cooling temperature value is within a preset temperature range; if not, the cooling temperature value is adjusted to within the preset temperature range.

6. The air conditioning control method according to claim 5, characterized in that: If the cooling temperature value is within the preset temperature range, it is determined whether the indoor humidity value is within the preset humidity range; if not, the indoor humidity value is adjusted to be within the preset humidity range.

7. The air conditioning control method according to claim 6, characterized in that: If the indoor humidity value is within the preset humidity range, determine whether the wind speed is greater than the preset wind speed; if so, reduce the wind speed to the preset wind speed.

8. The air conditioning control method according to claim 4, characterized in that: If the PMV value is less than a second preset value, the heating mode is entered, and the second preset value is less than the first preset value.

9. Air conditioner, characterized in that: The air conditioner includes a processor, and the processor is configured to implement the air conditioner control method according to any one of claims 1 to 8 when executing a computer program stored in a memory.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the air conditioning control method according to any one of claims 1 to 8 is implemented.

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