Air conditioner control method, air conditioner and readable storage medium

Abstract

The invention provides an air conditioner control method, an air conditioner and a readable storage medium, and relates to the technical field of air conditioner control, the air conditioner control method comprises the steps that a PMV value is calculated according to a first model, and control is conducted according to the PMV value; before the step of controlling according to the PMV value, the method also comprises the following steps: calculating a somatosensory temperature value according to a second model, and calculating a somatosensory PMV value and a somatosensory temperature change rate according to the somatosensory temperature value; and performing weighted calculation on the PMV value and the somatosensory PMV value to correct the PMV value, wherein the weight coefficient of the somatosensory PMV value is determined according to the change rate of the somatosensory temperature. The sensible temperature can more intuitively reflect the actual environment state change sensed by the human body, the PMV is corrected according to the sensible temperature, and therefore better body feeling can be brought to a user and a more comfortable environment can be provided when air conditioner control is carried out.

Description

Technical Field

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

[0002] With the rapid development of sensor technology and heat conduction theory, the traditional temperature control method, which simply relies on the set temperature value to control the operating state of the air conditioner, is widely used because of its simplicity and directness, but its obvious limitation is that it fails to fully consider the key factors that affect the human comfort experience. These factors include but are not limited to ambient humidity, air flow velocity, average radiant temperature, and the heat exchange rate between the human body and the environment. These parameters are crucial to the individual's thermal comfort, and the traditional single temperature control mode often cannot comprehensively reflect these complex interactions.

[0003] Based on the in-depth study of air conditioning control methods, the PMV (Predicted Mean Vote) model is a major breakthrough and provides a comprehensive indicator for evaluating environmental thermal comfort. PMV (Predicted Mean Vote) is the predicted average vote. It is an indicator for evaluating thermal environment and is proposed based on the thermal comfort equation of Professor PO Fanger of the Technical University of Denmark. This indicator comprehensively considers six factors: human activity level, clothing, air temperature, average radiant temperature, air flow rate and air humidity, and obtains a value representing human thermal sensation 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 conditioning control, PMV provides users with an intuitive thermal comfort reference. For example, in an office environment, sensors collect indoor environmental parameters such as temperature, humidity, wind speed, etc., and combine the activity status of personnel (such as sedentary office) and clothing (general office clothing) to calculate the PMV value. If the PMV value is +2, it means that the environment is warm, and the air conditioner can adjust the cooling accordingly 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 user requirements under certain conditions. For example, after the user enters or leaves the environment, the PMV control may over-adjust in order to keep the PMV value within a comfortable range, resulting in rapid changes in the environment (temperature, humidity, wind speed), causing heat stress or cold stress to the user. Summary of the invention

[0005] The first object of the present invention is to provide an air conditioning control method combined with the PMV correction of the perceived temperature, so that the control strategy is closer to the individual's thermal comfort experience and improves the individual's comfort.

[0006] A second object of the present invention is to provide an air conditioner that improves individual comfort.

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

[0008] The air conditioning control method provided by the first purpose of the present invention includes calculating the PMV value according to the first model, and controlling according to the PMV value; before the step of controlling according to the PMV value, it also includes: calculating the sensible temperature value according to the second model, calculating the sensible PMV value and the sensible temperature change rate according to the sensible temperature value; performing weighted calculation with the PMV value and the sensible PMV value to correct the PMV value, and 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, this scheme combines PMV theory with body temperature monitoring, and proposes an air conditioning adjustment scheme based on the joint control of PMV and body temperature. Unlike single PMV control, this scheme collects and analyzes individual body temperature in real time, and dynamically adjusts air conditioning operating parameters (compressor frequency, wind speed and other parameters) when the user's individual body temperature changes rapidly, to achieve more accurate environmental control and improve user experience comfort. Body temperature can more intuitively reflect the actual changes in environmental conditions felt by the human body. Correcting PMV can provide users with a more comfortable environment.

[0010] A further solution is 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 is calculated based on the return air outlet wind speed and individual position data, or is calculated based on the outlet wind speed, the return air outlet wind speed and individual position data.

[0011] As can be seen from the above, the calculation of the perceived temperature of the human body is based on the temperature at the human body, atmospheric humidity and wind speed. The temperature at the human body is determined by the environment and the human body radiation temperature. For air conditioners, the working environment is basically indoors, so if there is no other wind source, the indoor wind speed and wind direction are determined by the air conditioner controlling the air outlet. Therefore, the wind speed at the human body can be calculated by the outlet wind speed, return air outlet wind speed and user position or collected by an anemometer, and the temperature value at the human body can be obtained by an infrared imaging sensor. The perceived temperature change rate can more directly reflect the changes in the human body's perceived comfort under environmental changes. The perceived 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 that the control result improves the perceived comfort of indoor individuals.

[0012] A further solution is to calculate the corrected PMV value according to the following formula in the step of weighted calculation of the PMV value and the somatosensory PMV value to correct the PMV value: PMV = a × PMV 体感 +(1-a)×PMV; a is the weight coefficient in the formula. The greater the rate of change of perceived temperature, the greater the weight coefficient a.

[0013] As can be seen from the above, the rate of change of perceived temperature can directly reflect the change of human comfort under environmental changes. The greater the rate of change of perceived temperature, the greater the weight of perceived PMV in the calculation. When the system detects personnel changes or a high rate of change of perceived temperature, the weight parameter a can be set to 1 or close to 1; and when the detected rate of change of human perceived temperature is lower than the preset rate of change, the weight parameter a can be set to 0 or close to 0. The PMV value obtained by the correction calculation is more in line with the individual's physical condition, and control based on this can achieve a better physical feeling for the individual.

[0014] A further solution is that the weight coefficient a takes different values ​​according to the different levels of the rate of change of the body temperature.

[0015] A further solution is that 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 perceived temperature is greater than a preset rate of change, and if so, adjusting the cooling temperature value to a floating temperature range based on the current perceived temperature value.

[0016] As can be seen above, if the perceived temperature change rate is greater than the preset change rate, it means that the ambient temperature felt by the user is changing rapidly, which may cause heat stress or cold stress to the user. At this time, the system adjusts the cooling temperature value to (perceived temperature value ± 2) to slow down the perceived temperature change rate, and gradually adjusts the indoor temperature to close to the user's perceived temperature; this process will continue until the perceived temperature change rate drops below the preset change rate to prevent the user from feeling uncomfortable due to rapid changes in the environment.

[0017] A further solution is that if the rate of change of the perceived temperature is less than or equal to a preset rate of change, it is determined whether the cooling temperature value is within a preset temperature range, and if not, the cooling temperature value is adjusted to within the preset temperature range.

[0018] As can be seen above, the preset temperature can usually be a default value preset by the system, such as 25°C, but the system can also be adaptively adjusted according to the user's historical usage habits, or obtained by the user's personal settings. The temperature value ±2 is the most comfortable temperature range, and this adjustment setting ensures that the indoor temperature is always kept within the temperature range that is most comfortable for the individual.

[0019] A further solution is 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, and if not, the indoor humidity value is adjusted to within the preset humidity range.

[0020] A further solution is that if the indoor humidity value is within a 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 from the above, similarly, this adjustment setting ensures that the humidity and wind speed are always kept in the best range for individual comfort.

[0022] Another further solution is 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.

[0023] As can be seen from the above, the judgment result indicates that the current ambient temperature value is low, and it is necessary to enter the heating mode to ensure that the ambient temperature is adjusted to the most comfortable temperature range.

[0024] The air conditioner provided by the second purpose of the present invention includes a processor, and the processor is used to implement the above-mentioned air conditioner control method when executing the computer program stored in the memory.

[0025] The third object of the present invention is to provide a readable storage medium having a computer program stored thereon, and the above-mentioned air conditioning control method is implemented when the computer program is executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flowchart of an embodiment of the air conditioning control method of the present invention. DETAILED DESCRIPTION

[0027] Air conditioner and air conditioner control method embodiment The air conditioner includes a processor and a memory, for example, a single chip microcomputer including a central processing unit, etc. Moreover, the processor is used to implement the steps of the air conditioner control method when executing a computer program stored in the memory.

[0028] The processor may be a central processing unit (CPU), 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. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0029] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0030] Furthermore, the air conditioner indoor unit is provided with a temperature sensor, a humidity sensor and an infrared imaging sensor.

[0031] Air conditioning control methods include: After the air conditioner is turned on, step S1 is first executed to obtain various data related to the PMV value, and then the PMV value is calculated according to the obtained parameters and the preset first model. In the present invention, the calculated PMV value is defined as the environmental PMV value.

[0032] Thermal adaptation (PMV) model and calculation: PMV is used to predict the average thermal sensation vote of most people in a thermally balanced environment. It is a more comprehensive evaluation index, but PMV involves many elements and requires high accuracy of collected data. The PMV value ranges from -3 to +3, and the specific meanings are as follows:

[0033] The PMV value calculation formula, that is, the first model, is as follows: PMV=[0.303exp(-0.036M)+0.0275]{MW-3.05[5.733-0.007(MW)-P a]-0.42(MW-58.2)-0.0173M(5.867-P a )-0.0014M(34-t a )-3.96×10-8f cl [(t cl +273)4-(t r +273)4]-f cl h c (t cl -t a )}; In the formula: M—Human energy metabolism rate (W / m 2 ), depends on the amount of human activity; W—Mechanical work done by the human body (W / m 2 ), which can be detected by millimeter-wave radar or obtained by image processing and then looking up the table; P a is the water vapor partial pressure (p a ), the temperature and humidity sensor can be used to obtain relevant data, relative humidity RHI and air temperature t a Calculation can also be performed by obtaining positioning, geographic information, and weather information through the Internet; h c is the convective heat transfer coefficient (W / (m 2 K), which can be calculated by obtaining air temperature, air velocity and clothing surface temperature through a multi-sensor array.

[0034] t r is the mean radiation temperature, t cl is the clothing surface temperature, and the relevant data can be obtained through the infrared imaging sensor, and then the clothing thermal resistance l cl Then calculated; Thermal resistance of clothing cl It is usually determined by the material and thickness of the clothing, and can be obtained by manual input by the user or by scanning the clothing type using a camera of a terminal device connected to the air conditioner.

[0035] From the calculation formula of PMV, i.e. the first model, it can be seen that the control method with PMV as a parameter evaluates and calculates the user and the entire indoor environment as a whole. This means that when the indoor and outdoor environments are quite different (when the temperature, humidity, wind speed and other parameters are quite different) or when the indoor thermal equilibrium is not reached, 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 may cause the user who just enters the environment to experience a sharp change in body temperature due to the rapid change in air conditioning parameters, thereby causing the user to experience heat stress or cold stress. If the user enters this controlled environment after strenuous exercise or when he is sick, it may cause the user to feel cold.

[0036] In addition, PMV control is based on the average comfort level of most people. However, due to significant differences in thermal comfort between individuals, some people may still feel uncomfortable even when the PMV value is in the comfort range (usually between -0.5 and 0.5). This discomfort is especially obvious for those who are extremely sensitive to temperature changes. In addition, the implementation of PMV control requires the support of multiple sensors. Considering the cost issues, many relevant data in actual applications often use default values. Parameters such as average radiant temperature and clothing thermal resistance often cannot obtain more accurate data feedback, which affects the accuracy of PMV control. Therefore, the perceived temperature change rate is introduced as one of the standards to reduce over-adjustment. At the same time, the PMV preset value is adjusted through user comfort feedback. In contrast, the change in perceived temperature focuses more on the individual's sensible temperature change under environmental changes, and its calculation method is relatively simple (compared with parameters such as local temperature and local thermal sensation index). Therefore, the present invention aims to solve the problem that when the indoor and outdoor environments are greatly different or the indoor environment has not reached thermal equilibrium, the user enters the room and feels uncomfortable due to the rapid change in perceived temperature caused by the indoor environment or excessive adjustment of the air conditioner.

[0037] Therefore, in the control method of the present invention, the formula PMV = a × PMV 体感+(1-a)×PMV is used for weighted calculation to correct the PMV value, and the environmental PMV value that is more in line with the environment is corrected to a corrected PMV value that is more in line with the individual somatosensory characteristics in the environment. A dynamically changing weight coefficient a is introduced in the corrected weighted calculation process. When the system detects personnel changes or a high rate of change in perceived temperature, the weight coefficient a can be set to 1 or close to 1; and when the detected rate of change in human body perceived 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 perceived temperature in different gears. That is, the weight coefficient of the perceived PMV value is determined according to the rate of change of perceived temperature, and the weight coefficient a takes different values ​​according to the different gears of the rate of change of perceived temperature.

[0038] Then, while executing step S1, the control method also executes step S2, first obtaining relevant parameters and calculating the somatosensory PMV value, and synchronously executes step S3, first obtaining relevant parameters and calculating the weight coefficient a.

[0039] In step S2, a body temperature model based on the temperature value at the human body, the temperature value at the human body and the wind speed at the human body is adopted, and the body temperature value ST is calculated by the following formula group, that is, the second model: , ; In the formula, T is the temperature of the human body, H S is the humidity value at the human body, which is also the atmospheric humidity, and V is the wind speed at the human body, that is, the second model is associated with the temperature value at the human body, the temperature value at the human body, and the wind speed at the human body. Among them, the temperature value at the human body is determined by the ambient temperature and the human body radiation temperature, and the ambient temperature and the human body radiation temperature can be obtained by the temperature sensor and the infrared imaging sensor on the air conditioner respectively. For air conditioners, the working environment is basically indoors, so if there is no other wind source, the indoor wind speed and wind direction are determined by the air conditioner to control the air outlet. Therefore, 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, the return air outlet wind speed and individual position data. Of course, it can also be directly calculated by the anemometer at the human body. The temperature value at the human body can be obtained by detecting the humidity sensor of the indoor unit of the air conditioner, or by detecting the humidity sensor outside the body of the same network, or by obtaining the local atmospheric humidity data through networking.

[0040] Then, the somatosensory PMV value can be calculated based on the calculated somatosensory temperature value ST.

[0041] The ambient PMV value is obtained by calculating the air temperature. When the environment is not in a steady state, the air temperature is uneven, and changes in the perceived temperature can reflect whether the environment is changing rapidly. The perceived PMV value is calculated by substituting the perceived temperature value ST near the human body into the ambient PMV calculation formula. The air temperature in the ambient PMV calculation formula is the average indoor air temperature (dry bulb temperature). However, due to the current non-steady state of the ambient temperature, the PMV control calculated based on the average indoor temperature may not meet the actual situation.

[0042] The calculation formula of somatosensory PMV is: PMV=[0.303exp(-0.036M)+0.0275]{MW-3.05[5.733-0.007(MW)-P a ]-0.42(MW-58.2)-0.0173M(5.867-P a )-0.0014M(34-T)-3.96×10-8f cl [(t cl +273)4-(tr+273)4]-f cl h c (t cl -T)}; In the formula, Pa and hc are calculated based on the average air temperature, and T is the perceived temperature value ST.

[0043] In addition, the sensible temperature change rate may be calculated according to ΔST / Δt, and then the weight coefficient a corresponding to the sensible PMV value may be determined according to the sensible temperature change rate.

[0044] Then the system executes step S4, and performs weighted calculation based on the PMV value and the somatosensory PMV value to correct the PMV value, and calculates the corrected PMV value according to the following formula: PMV = a × PMV 体感 +(1-a)×PMV; in the formula, a is the weight coefficient. The greater the rate of change of the perceived 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 calculated in step S1. 体感 It is the somatosensory PMV value.

[0045] Then, the judgment step S5 is executed to judge whether the PMV value is greater than or equal to the second preset value and less than the first preset value. If so, step S6 is executed to maintain the current control mode, and then step S7 is executed to judge whether the user feedbacks the cold and hot feeling according to the received signal. The received signal can be the user's voice signal or the selection signal fed back by the mobile phone, or it can be a confirmation signal obtained after the air conditioner camera recognizes the user's action posture that meets the cold or hot feeling and is asked through text or voice. If the judgment result of step S7 is yes, step S8 is executed to adjust the first preset value and the second preset value according to the user's cold and hot feedback, and then continue to return to the execution of steps S1, S2 and S3. If the judgment result of step S7 is no, continue to return to the execution of steps S1, S2 and S3.

[0046] If the judgment result of step S5 is no, then step S9 is executed to judge whether the PMV value is greater than the first preset value, and then step S11 is executed to enter the setting adjustment mode.

[0047] Then, step S12 is executed to determine whether the perceived temperature change rate is greater than the preset change rate. If so, step S16 is executed to operate in low-power mode, and the compressor and fan frequencies are adjusted according to the current perceived temperature value. The goal is to adjust the cooling temperature value to a floating temperature range based on the current perceived temperature value. If the perceived temperature change rate is greater than the preset change rate, it means that the ambient temperature felt by the user is changing rapidly, which may cause heat stress or cold stress to the user. At this time, the system adjusts the cooling temperature value to (perceived temperature value ± 2) to slow down the perceived temperature change rate, and gradually adjusts the indoor temperature to close to the user's perceived temperature; this process will continue until the perceived temperature change rate drops below the preset change rate to prevent the user from feeling uncomfortable due to rapid changes in the environment.

[0048] If the judgment result of step S12 is no, that is, the rate of change of the perceived temperature is less than or equal to the preset rate of change, step S13 is executed to determine whether the cooling temperature value is within the preset temperature range. If not, step S17 is executed to adjust the cooling temperature value to the preset temperature range. The preset temperature can usually be a default value preset by the system, such as 25°C, but the system can also be adaptively adjusted according to the user's historical usage habits, or it can be obtained by the user's personalized settings. The temperature value ±2 is the most comfortable preset temperature range. This adjustment setting ensures that the indoor temperature always remains within the preset temperature range that is most comfortable for the individual.

[0049] If the judgment result of step S13 is no, that is, the cooling temperature value is within the preset temperature range, then step S14 is executed to determine whether the indoor humidity value is within the preset humidity range. If not, step S18 is executed 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 obtained by detecting the humidity sensor of the air conditioner indoor unit, or by detecting the humidity sensor outside the body of the same network, or by obtaining local atmospheric humidity data through networking. A preferred solution is that the indoor humidity value is the humidity value of the human body. In this embodiment, the preset humidity range is less than or equal to 65% and greater than or equal to 40%.

[0050] If the judgment result of step S14 is no, that is, the indoor humidity value is within the preset humidity range, step S15 is executed to determine whether the wind speed is greater than the preset wind speed. In this embodiment, the preset wind speed is 0.8 m / s. If yes, step S14 is executed to reduce the wind speed to the preset wind speed. If no, step S6 is executed.

[0051] In addition, if the judgment 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. This judgment result means that the current ambient temperature value is low, and the heating mode needs to be entered to ensure that the ambient temperature is adjusted to the most comfortable temperature range.

[0052] After steps S17, S18 and S19 are completed, steps S1, S2 and S3 are continuously executed in a loop.

[0053] The present invention mainly targets the limitations of the PMV model. This solution combines PMV theory with body temperature monitoring and proposes an air conditioning adjustment solution based on the joint control of PMV and body temperature. Unlike single PMV control, this solution collects and analyzes individual body temperature in real time. When the user's individual body temperature changes rapidly, it dynamically adjusts the air conditioning operating parameters (compressor frequency, wind speed and other parameters) to achieve more accurate environmental control and improve the user experience comfort. The body temperature can more intuitively reflect the actual environmental state changes felt by the human body. Correcting PMV can provide users with a more comfortable environment.

[0054] Readable storage medium embodiment The readable storage medium of the present invention can be any form of storage medium that can be read by the processor of a computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc. A computer program is stored on the readable storage medium. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-mentioned air conditioning control method can be implemented.

[0055] The computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer readable media do not include electric carrier signals and telecommunication signals.

[0056] Finally, it should be emphasized that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An air conditioning control method, comprising: Calculating a PMV value according to a first model, and performing control according to the PMV value; Features: The step of controlling according to the PMV value also includes: Calculate the sensible temperature value according to the second model, and calculate the sensible PMV value and the sensible temperature change rate according to the sensible temperature value; The PMV value and the body-perceived PMV value are weightedly calculated to correct the PMV value, and the weight coefficient of the body-perceived PMV value is determined according to the body-perceived temperature change rate.

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: In the step of performing weighted calculation using the PMV value and the body-perceived 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.

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

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

6. The air conditioning control method according to claim 5, characterized in that: If the rate of change of the perceived temperature is less than or equal to the preset rate of change, 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.

7. The air conditioning control method according to claim 6, 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, and if not, the indoor humidity value is adjusted to be within the preset humidity range.

8. The air conditioning control method according to claim 7, 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, and if so, reduce the wind speed to the preset wind speed.

9. The air conditioning control method according to claim 5, 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.

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

11. 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 as described in any one of claims 1 to 9 is implemented.

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