Thermal comfort data determination method, air conditioner and computer readable storage medium

Abstract

The invention relates to a thermal comfort data determination method, an air conditioner and a computer readable storage medium. The thermal comfort data determination method comprises the steps of determining first metabolic rate data of an object in a historical specified time period based on a metabolic change function of the object in an air conditioner action space in a sleep mode; and under the condition of the specified thermal comfort data, based on the first metabolic rate data and the environment data of the air conditioner action space in the historical specified time period, the thermal resistance data of the bedding and clothing are determined. Determining second metabolic rate data of the object at the current moment based on the metabolic change function; and determining thermal comfort data at the current moment according to the bedding and clothing thermal resistance data and the second metabolic rate data. According to the embodiment of the invention, after the air conditioner operates in the sleep mode every time, the bedding and clothing thermal resistance data used for calculating the thermal comfort data is determined, and the metabolic rate data is changed along with the sleep time. The thermal comfort data obtained through calculation is more fit with the actual thermal comfort condition of the air conditioner using object, and therefore the thermal comfort of the air conditioner using object is improved.

Description

Technical Field

[0001] The present specification relates to the technical field of air conditioning, and in particular to a method for determining thermal comfort data, an air conditioner, and a computer-readable storage medium. Background Art

[0002] The existing air-conditioning sleep mode is mainly considered from two perspectives: one is the energy-saving perspective, such as the concept of "one kilowatt-hour of electricity per night"; the other is the comfort perspective to meet the night temperature requirements of the air-conditioning users.

[0003] From the perspective of comfort, the current related technologies have proposed using a temperature control model to adjust the air conditioner temperature. This method takes into account the environmental changes in the air conditioning space to control the air conditioner, and to a certain extent, can make the temperature set by the air conditioner conform to the changes in the thermal parameters of the user during sleep. However, the temperature control model in the related technology does not take into account the changes in the thermal parameters of the air conditioner user during sleep, and the thermal comfort of the air conditioner user needs to be improved. Summary of the invention

[0004] The present specification aims to solve one of the technical problems in the related art at least to a certain extent. To this end, one purpose of the present specification is to propose a method for determining thermal comfort data.

[0005] The second objective of this specification is to provide a device for determining thermal comfort data.

[0006] The third object of this specification is to provide an air conditioner.

[0007] A fourth objective of this specification is to provide a computer-readable storage medium.

[0008] To achieve the above-mentioned purpose, the first embodiment of the present specification proposes a method for determining thermal comfort data. The method for determining thermal comfort data includes: determining the first metabolic rate data of the object in a specified historical period based on the metabolic change function of the object in the air-conditioning action space in sleep mode; wherein the metabolic change function is used to characterize the change of the metabolic rate of the object with the time of falling asleep; under the condition of specifying thermal comfort data, determining the thermal resistance data of clothing based on the first metabolic rate data and the environmental data of the air-conditioning action space in the specified historical period. Determine the second metabolic rate data of the object at the current moment based on the metabolic change function; determine the thermal comfort data at the current moment according to the thermal resistance data of clothing and the second metabolic rate data.

[0009] In some embodiments of the present specification, the designated thermal comfort data adopts preset thermal comfort data; the air conditioner is provided with a plurality of temperature control cycles in the sleep mode, and the environmental data include first temperature data and first relative humidity data in the first temperature control cycle; the first metabolic rate data include initial metabolic rate data in the first temperature control cycle; based on the first metabolic rate data and the environmental data of the air conditioning action space in the historical specified time period, the thermal resistance data of bedding is determined, including: determining the thermal resistance data of bedding based on the first temperature data, the first relative humidity data and the initial metabolic rate data.

[0010] In some embodiments of the present specification, the designated thermal comfort data is determined based on the thermal comfort feedback received from the user end for the object in the air-conditioning action space in the last sleep mode based on the thermal comfort feedback; the environmental data includes second temperature data and second relative humidity data within the historical specified time period; based on the first metabolic rate data and the environmental data of the air-conditioning action space within the historical specified time period, the thermal resistance data of the bedding is determined, including: determining the thermal resistance data of the bedding based on the second temperature data, the second relative humidity data and the first metabolic rate data.

[0011] In some embodiments of the present specification, the air conditioner is set with multiple temperature control cycles in the last sleep mode; the historical specified time period is the last temperature control cycle in the last sleep mode; the first metabolic rate data includes the terminal metabolic rate data within the last temperature control cycle; if the thermal comfort feedback situation indicates the thermal comfort of the object at the end of the last sleep mode, the determination of the bedding thermal resistance data based on the second temperature data, the second relative humidity data and the first metabolic rate data includes: determining the bedding thermal resistance data according to the terminal metabolic rate data, the second temperature data within the last temperature control cycle and the second relative humidity data within the last temperature control cycle.

[0012] In some embodiments of the present specification, the historical specified time period is the entire historical time period corresponding to the last sleep mode; if the thermal comfort feedback situation represents the thermal comfort of the object during the entire historical time period, the determining the thermal resistance data of the bedding based on the second temperature data, the second relative humidity data and the first metabolic rate data includes: determining the thermal resistance data of the bedding based on the second temperature data during the entire historical time period, the second relative humidity data during the entire historical time period and the first metabolic rate data.

[0013] In some embodiments of the present specification, when the environmental data within the historical specified time period cannot be obtained, the method further includes: obtaining outdoor environment related data corresponding to the target geographical area where the air conditioner is located and the sleep mode time; determining the clothing thermal resistance data based on the outdoor environment related data and a pre-built environmental thermal resistance mapping database; wherein the environmental thermal resistance mapping database stores relationship data between the outdoor environment related data and the clothing thermal resistance.

[0014] In some embodiments of the present specification, the air conditioner is provided with multiple temperature control cycles in the sleep mode; the multiple temperature control cycles include adjacent first temperature control cycles and second temperature control cycles; the current moment is the end moment of the first temperature control cycle; after determining the thermal comfort data of the current moment according to the clothing thermal resistance data and the second metabolic rate data, the method further includes: based on the thermal comfort data corresponding to the end moment of the first temperature control cycle, temperature control is performed on the operation of the air conditioner in the second temperature control cycle.

[0015] In some embodiments of the present specification, based on the thermal comfort data corresponding to the current moment, the air conditioner is temperature controlled during its operation in the second temperature control cycle, including one of the following: if the thermal comfort data is within a preset thermal comfort range, the air conditioner is controlled to maintain the current temperature during the second temperature control cycle; if the thermal comfort data is greater than the maximum value within the preset thermal comfort range, the air conditioner is controlled to lower a specified temperature difference during the second temperature control cycle; if the thermal comfort data is less than the minimum value within the preset thermal comfort range, the air conditioner is controlled to increase the specified temperature difference during the second temperature control cycle.

[0016] To achieve the above-mentioned purpose, the second embodiment of the present specification proposes a device for determining thermal comfort data. The device for determining thermal comfort data includes: a first metabolic rate determination module, which is used to determine the first metabolic rate data of the object in the air-conditioning action space in the historical specified time period based on the metabolic change function of the object in the sleep mode; wherein the metabolic change function is used to characterize the change of the metabolic rate of the object with the sleep time; a clothing thermal resistance determination module, which is used to determine the clothing thermal resistance data based on the first metabolic rate data and the environmental data of the air-conditioning action space in the historical specified time period under the condition of specifying thermal comfort data. A second metabolic rate determination module, which is used to determine the second metabolic rate data of the object at the current moment based on the metabolic change function; a thermal comfort determination module, which is used to determine the thermal comfort data at the current moment according to the clothing thermal resistance data and the second metabolic rate data.

[0017] To achieve the above-mentioned purpose, the third aspect embodiment of the present specification proposes an air conditioner, including a memory, a processor, and a thermal comfort data determination program stored in the memory and executable on the processor, wherein when the processor executes the thermal comfort data determination program, the thermal comfort data determination method as described in any one of the first aspects is implemented.

[0018] To achieve the above-mentioned purpose, the fourth aspect of the present specification proposes a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for determining thermal comfort data as described in any one of the first aspects is implemented.

[0019] Through the above-mentioned embodiments, after the air conditioner runs in the sleep mode each time, under the condition of specifying the thermal comfort data, the thermal resistance data of the bedding is calculated based on the first metabolic rate data and the environmental data corresponding to the historical specified time period. Then, the second metabolic rate data at the current moment is determined based on the metabolic rate change function, and the thermal comfort data at the current moment is determined based on the second metabolic rate data and the thermal resistance data of the bedding. In the embodiments of this specification, considering the changes in the thermal parameters of the air conditioner user, after the air conditioner runs in the sleep mode each time, the thermal resistance data of the bedding used to calculate the thermal comfort data is determined, and the metabolic rate data changes with the time of falling asleep. The thermal comfort data calculated in the above manner is more in line with the actual thermal comfort of the air conditioner user, thereby improving the thermal comfort of the air conditioner user.

[0020] Additional aspects and advantages of the present specification will be given in part in the description below and in part will become apparent from the description below or will be learned through the practice of the present specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of a method for determining thermal comfort data proposed in an embodiment of this specification.

[0022] Figure 2 It is a flow chart of a method for determining thermal comfort data according to an embodiment of the present specification.

[0023] Figure 3 It is a structural block diagram of a thermal comfort data determination device proposed in an embodiment of this specification.

[0024] Figure 4 is a structural block diagram of an air conditioner according to an embodiment of the present specification. DETAILED DESCRIPTION

[0025] The embodiments of the present specification are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present specification, and should not be construed as limiting the present specification.

[0026] The sleep mode of existing air conditioners is mainly considered from two perspectives: one is the energy-saving perspective, such as the concept of "one kilowatt-hour of electricity per night"; the other is the comfort perspective, to meet users' nighttime temperature requirements.

[0027] In the prior art, in view of the comfort of the air conditioner user in the sleep mode, there is a method of using a temperature control curve to control the temperature of the air conditioner running in the sleep mode. However, the temperature control curve generally requires the user to customize it before going to bed, and the curve is fixed, the mode is single, and it is impossible to make adaptive feedback according to environmental changes, resulting in the inability to meet the personalized needs of the air conditioner user. In recent years, some adaptive temperature control models have also appeared, such as automatically adjusting the room temperature according to the radiation temperature, such as the sleep thermal comfort model (PMV model). Although these temperature control models can make adaptive feedback according to the changes in ambient temperature and humidity, they can meet the needs of automatic temperature control at night to a certain extent. However, the changes in thermal parameters of the air conditioner user are ignored. In these temperature control models, the metabolic rate and clothing thermal resistance included in the thermal parameters are considered to be fixed. Because the needs of individual objects cannot be well matched, the thermal comfort of the air conditioner user needs to be improved.

[0028] Figure 1 This is a flow chart of a method for determining thermal comfort data proposed in an embodiment of this specification. Figure 1 , the thermal comfort data determination method includes:

[0029] S110 , determining first metabolic rate data of the object in a historical specified period of time based on a metabolic change function of the object in the air-conditioning action space in a sleep mode.

[0030] The metabolic change function is used to characterize the change of the metabolic rate of the subject with the sleep time.

[0031] S120, under the condition of designated thermal comfort data, determining clothing thermal resistance data based on the first metabolic rate data and environmental data of the air-conditioning space within a designated historical period.

[0032] S130, determining second metabolic rate data of the subject at a current moment based on the metabolic change function.

[0033] S140, determining thermal comfort data at the current moment according to the clothing thermal resistance data and the second metabolic rate data.

[0034] In the embodiments of this specification, the metabolic rate change function of an object in the air-conditioning effect space is determined in advance according to the actual situation of the object. Taking the object using the air conditioner as a person as an example, the metabolic rate of a person in a waking state can be calculated based on their height, weight, and gender. Any metabolic rate change curve of the object with respect to the falling asleep time is determined according to the metabolic rate change rule and the actual physiological condition of the person in the sleeping state, and thus the metabolic rate change function is obtained based on the change curve. The metabolic rate change function can characterize the change of the object's metabolic rate with the falling asleep time.

[0035] Exemplarily, taking a person as an example, the metabolic rate usually decreases first and then increases after falling asleep, and the lowest point of the metabolic rate is usually one hour before waking up. Its metabolic rate change is usually M0→cM0→dM0, where 0.5 < c < d < 1, and the values of c and d can be determined through experiments on actual subjects. M0 represents the initial metabolic rate before falling asleep of a person, which can be calculated based on height, weight, and gender: where l represents height (unit: m); m represents weight (unit: kg); G represents gender (G = 1 for male; G = 0 for female). Through the above method, the metabolic rate change function of the object using the air conditioner can be obtained.

[0036] After determining the metabolic rate change function of the object in the air-conditioning effect space, the calculation of the thermal resistance of bedding and thermal comfort data can be carried out based on this metabolic rate change function. Specifically, the first metabolic rate data of the object within a historical specified period is determined based on the metabolic rate change function of the object in the air-conditioning effect space in the sleep mode. Among them, the historical specified period can be the period before the current moment in the current sleep mode, or the period in the previous sleep mode. The first metabolic rate data is used to calculate the thermal resistance data of the bedding.

[0037] In the embodiments of this specification, the sleep thermal comfort model (pmv model) can be used to regulate the air-conditioning temperature. In the sleep thermal comfort model, the reference thermal comfort data for regulating the temperature is calculated based on the environmental related data, the thermal resistance data of the bedding, and the metabolic rate data at the current moment. Therefore, in the embodiments of this specification, when calculating the thermal resistance data of the bedding, the thermal resistance data of the bedding can be deduced by specifying the thermal comfort data, the first metabolic rate data, and the environmental data.

[0038] Since the thermal resistance data of the bedding is affected by environmental factors and metabolic rate, in the embodiments of this specification, every time the air conditioner enters the sleep mode, it is necessary to calculate the thermal resistance data of the bedding for the current sleep mode.

[0039] Specifically, under the condition of specifying thermal comfort data, the clothing thermal resistance data is determined based on the first metabolic rate data corresponding to the historical specified period and the environmental data of the air-conditioning action space within the historical specified period. It can be understood that each time the clothing thermal resistance data is calculated, the first metabolic rate data, the environmental data and the specified thermal comfort data are all data for the same period.

[0040] Then, the thermal comfort data at the current moment is calculated to control the temperature of the air conditioner according to the thermal comfort data at the current moment. The second metabolic rate data corresponding to the object at the current moment is determined based on the above-mentioned metabolic rate change function. In an implementable manner, the second metabolic rate data can be determined by the metabolic rate change function based on the time difference between the current moment and the initial moment when the air conditioner runs in the current sleep mode. The thermal comfort data corresponding to the current moment is calculated based on the second metabolic rate data and the thermal resistance data of the clothing.

[0041] Through the above-mentioned embodiments, after the air conditioner runs in the sleep mode each time, under the condition of specifying the thermal comfort data, the thermal resistance data of the bedding is calculated based on the first metabolic rate data and the environmental data corresponding to the historical specified time period. Then, the second metabolic rate data at the current moment is determined based on the metabolic rate change function, and the thermal comfort data at the current moment is determined based on the second metabolic rate data and the thermal resistance data of the bedding. In the embodiments of this specification, considering the changes in the thermal parameters of the air conditioner user, after the air conditioner runs in the sleep mode each time, the thermal resistance data of the bedding used to calculate the thermal comfort data is determined, and the metabolic rate data changes with the time of falling asleep. The thermal comfort data calculated in the above manner is more in line with the actual thermal comfort of the air conditioner user, thereby improving the thermal comfort of the air conditioner user.

[0042] In some embodiments of the present specification, the thermal comfort data is calculated based on the second metabolic rate data, the clothing thermal resistance data, and the current environment data at the current moment. The thermal comfort data may be calculated based on the following formula:

[0043]

[0044] Among them, PMV represents thermal comfort data; M represents the second metabolic rate data; R t Indicates the thermal resistance data of clothing; t a Indicates dry bulb temperature data (℃); t sk,cf Indicates skin comfort temperature (℃); P a Indicates the partial pressure of water vapor in air (kPa); P sk,cf Indicates the partial pressure of water vapor at the comfortable temperature (kPa).

[0045] Through the above calculation formula of thermal comfort data, the calculation formula of clothing thermal resistance data can be derived as follows:

[0046]

[0047] Among them, R t represents the thermal resistance of clothing; M represents the first metabolic rate data; PMV represents the thermal comfort data; t a Indicates dry bulb temperature data (℃); t sk,cf =35.7-0.0275·M,t sk,cf Indicates skin comfort temperature (℃); P a It represents the partial pressure of water vapor in air (kPa), and RH represents the relative humidity data; P sk,cf Indicates the partial pressure of water vapor at the comfortable temperature (kPa).

[0048] In some embodiments of the present specification, the specified thermal comfort data adopts preset thermal comfort data, the air conditioner is set with multiple temperature control cycles in the sleep mode, and the environmental data includes first temperature data and first relative humidity data in the first temperature control cycle. The first metabolic rate data includes initial metabolic rate data in the first temperature control cycle. Based on the first metabolic rate data and the environmental data of the air conditioning action space in the historical specified time period, the clothing thermal resistance data is determined, including: based on the first temperature data, the first relative humidity data and the initial metabolic rate data, the clothing thermal resistance data is determined.

[0049] In an embodiment of the present specification, the air conditioner is provided with multiple temperature control cycles in the sleep mode. For example, each hour can be used as a temperature control cycle. In the first temperature control cycle after the air conditioner enters the sleep mode, a preset initial temperature can be used to control the temperature of the air conditioner in the first temperature control cycle. Then, after the first temperature control cycle ends, the temperature of the air conditioner is adjusted using the calculated thermal comfort data.

[0050] In some cases, in the current sleep mode, the environmental data and the first metabolic rate data in the first temperature control cycle can be used to calculate the thermal resistance data of the bedding, and the thermal resistance data of the bedding can be directly used in the calculation of the subsequent thermal comfort data in the current sleep mode. At this time, the historical specified time period can be the entire time period corresponding to the first temperature control cycle, or it can be a specified time period in the first temperature control cycle. Exemplarily, if each hour is used as a temperature control cycle, in order to ensure the accuracy and stability of the environmental data, the environmental data can be determined 20 minutes after the air conditioner enters the sleep mode. For example, the historical specified time period can select any specified ten minutes after the first 20 minutes in the first temperature control cycle. This is a default that the environment in the air conditioning action space reaches a stable state 20 minutes after the air conditioner enters the sleep mode. The selection of the historical specified time period is specifically determined according to different air conditioners and different action spaces.

[0051] Specifically, since the air-conditioning user may already be in a sleeping state in the current sleep mode and cannot provide feedback on thermal comfort, in this case, the preset thermal comfort data can be used as the designated thermal comfort data. Generally, the value range of thermal comfort data is [-1,1]. Thermal comfort data equal to -1 indicates that the object is cold, thermal comfort data equal to 1 indicates that the object is hot, and thermal comfort data equal to 0 indicates that the object is in a comfortable state. Since the object may have just entered a sleeping state in the first temperature control cycle, its thermal comfort is usually in a comfortable state at this time. Therefore, the preset thermal comfort data is usually determined to be equal to 0. That is, under the condition that the designated thermal comfort data is equal to 0, the clothing thermal resistance data is calculated based on the environmental data and metabolic rate data of the first temperature control cycle.

[0052] From the above calculation formula of bedding thermal resistance data, it can be seen that in addition to the thermal comfort data PMV, the calculation of bedding thermal resistance data needs to determine the basic variables including dry bulb temperature data t a , first metabolic rate data M, relative humidity data RH. The dry bulb temperature is the value read from a dry bulb thermometer that is exposed to the air but not directly exposed to the sun. Therefore, the dry bulb temperature data t a The temperature data determined by the temperature sensor or the temperature measuring instrument in the air-conditioning space can be directly used. Therefore, the environmental data can include the first temperature data and the first relative humidity data in the first temperature control cycle. It can be understood that the first temperature data and the first relative humidity data can be the temperature data and the relative humidity data at a certain moment in the first temperature control cycle, or the average temperature data corresponding to the specified historical period corresponding to the first temperature control cycle can be used as the first temperature data, and the average relative humidity data corresponding to the specified historical period can be used as the first relative humidity data.

[0053] Since the subject may have just entered the sleep state in the first temperature control cycle, the first metabolic rate data M can directly use the initial metabolic rate data M0 of the subject at the initial moment of entering sleep. At this time, the first metabolic rate data M=M0, and the skin comfort temperature t sk,cf =35.7-0.0275·M0.

[0054] When the thermal comfort data is equal to 0 and the first metabolic rate data M=M0, the clothing thermal resistance data is:

[0055]

[0056] In the embodiments of the present specification, in the sleep mode, the average wind speed v can be considered to be lower than 0.15 m / s, so that the convection heat transfer coefficient hc can be considered to be a constant value.

[0057] In some embodiments of the present specification, the specified thermal comfort data is determined based on the thermal comfort feedback received from the user end for the object in the air-conditioning action space in the last sleep mode. The environmental data includes the second temperature data and the second relative humidity data in the historical specified period. The clothing thermal resistance data is determined based on the first metabolic rate data and the environmental data of the air-conditioning action space in the historical specified period, including: determining the clothing thermal resistance data based on the second temperature data, the second relative humidity data and the first metabolic rate data.

[0058] In other cases, the object in the air-conditioning space may use the user's feedback on the thermal comfort in the sleep mode. Therefore, in the embodiments of this specification, the object's clothing thermal resistance data can also be calculated based on the environmental data and thermal comfort feedback in the last sleep mode, so as to calculate the thermal comfort data in the current sleep mode using the clothing thermal resistance data.

[0059] Specifically, when receiving the thermal comfort feedback sent by the user end for the object in the air-conditioning action space in the last sleep mode, the designated thermal comfort data is determined based on the thermal comfort feedback. Exemplarily, if the thermal comfort feedback indicates that the object in the air-conditioning action space felt comfortable in the last sleep mode, the designated thermal comfort data can be determined to be equal to 0; if the thermal comfort feedback indicates that the object in the air-conditioning action space felt cold in the last sleep mode, the designated thermal comfort data can be determined to be -1; if the thermal comfort feedback indicates that the object in the air-conditioning action space felt hot in the last sleep mode, the designated thermal comfort data can be determined to be 1.

[0060] In this case, the historical specified time period can be the entire historical time period or the specified time period corresponding to the last sleep mode. At this time, the environmental data includes the second temperature data and the second relative humidity data within the historical specified time period. It is understandable that the second temperature data can adopt the temperature data corresponding to a certain moment within the historical specified time period, or the average temperature data corresponding to the historical specified time period. Similarly, the second relative humidity data can adopt the relative humidity data corresponding to a certain moment within the historical specified time period, or the average relative humidity data corresponding to the historical specified time period. The first metabolic rate data can be determined by the metabolic rate data corresponding to the historical specified time period.

[0061] Therefore, in the case where the designated thermal comfort data is determined based on the thermal comfort feedback situation, the clothing thermal resistance data may be calculated based on the second temperature data, the second relative humidity data, and the first metabolic rate data.

[0062] In some embodiments of the present specification, the air conditioner is provided with a plurality of temperature control cycles in the last sleep mode. The historical designated time period is the last temperature control cycle in the last sleep mode. The first metabolic rate data includes the terminal metabolic rate data in the last temperature control cycle. If the thermal comfort feedback situation indicates the thermal comfort of the object at the end of the last sleep mode, the clothing thermal resistance data is determined based on the second temperature data, the second relative humidity data and the first metabolic rate data, including: determining the clothing thermal resistance data according to the terminal metabolic rate data, the second temperature data in the last temperature control cycle and the second relative humidity data in the last temperature control cycle.

[0063] In the embodiments of the present specification, the objects in the air-conditioning space can provide feedback on the user side about the thermal comfort conditions at the end of the last sleep mode, or can provide feedback on the thermal comfort conditions for the entire historical period in the last sleep mode.

[0064] Similarly, the air conditioner is set with multiple temperature control cycles in the last sleep mode. It can also be one temperature control cycle per hour. In the case where the thermal comfort feedback situation represents the thermal comfort of the object at the end of the last sleep mode, the environmental data and the first metabolic rate data in the last temperature control cycle in the last sleep mode can be used to correspond to the thermal comfort feedback situation.

[0065] Specifically, the historical designated time period is the last temperature control cycle in the last sleep mode. Then the second temperature data is the second temperature data in the last temperature control cycle in the last sleep mode. The second temperature data can be the temperature data corresponding to a certain moment in the last temperature control cycle, or the average temperature data corresponding to the last temperature control cycle. Similarly, the second relative humidity data is the second relative humidity data in the last temperature control cycle in the last sleep mode. The second relative humidity data can be the relative humidity data corresponding to a certain moment in the last temperature control cycle, or the average relative humidity data corresponding to the last temperature control cycle. In some cases, the historical designated time period can also be the last designated time period in the last temperature control cycle in the last sleep mode.

[0066] Since the thermal comfort feedback situation represents the thermal comfort of the object at the end time of the last sleep mode, the thermal comfort feedback situation represents the thermal comfort of the object just when waking up, and therefore the first metabolic rate data may be the termination metabolic rate data corresponding to the end time of the last temperature control cycle.

[0067] Therefore, when the thermal comfort feedback situation represents the thermal comfort of the object at the end of the last sleep mode, the clothing thermal resistance data can be determined based on the termination metabolic rate data, the second temperature data in the last temperature control cycle and the second relative humidity data in the last temperature control cycle.

[0068] In some embodiments of the present specification, the historical designated time period is the entire historical time period corresponding to the last sleep mode. If the thermal comfort feedback situation indicates the thermal comfort of the subject in the entire historical time period, the clothing thermal resistance data is determined based on the second temperature data, the second relative humidity data, and the first metabolic rate data, including: determining the clothing thermal resistance data according to the second temperature data in the entire historical time period, the second relative humidity data in the entire historical time period, and the first metabolic rate data.

[0069] In an embodiment of the present specification, if the thermal comfort feedback condition represents the thermal comfort of the subject in the entire historical period of the last sleep mode, it is necessary to use the environmental data and the first metabolic rate data in the entire historical period corresponding to the last sleep mode to calculate the clothing thermal resistance data. Therefore, the historical designated period can be the entire historical period corresponding to the last sleep mode.

[0070] Specifically, the second temperature data may be the average temperature data corresponding to the entire historical period, and the second relative humidity data may be the average relative humidity data corresponding to the entire historical period. The first metabolic rate data may be the average metabolic rate data of the metabolic rate data corresponding to the end of each temperature control cycle in the entire historical period. Therefore, the clothing thermal resistance data may be determined based on the second temperature data in the entire historical period, the second relative humidity data in the entire historical period, and the first metabolic rate data. The clothing thermal resistance data may be used to calculate the thermal comfort data in the current sleep mode.

[0071] In some embodiments of the present specification, when the environmental data within the historical specified period cannot be obtained, the thermal comfort data determination method further includes: obtaining outdoor environment related data corresponding to the target geographical area where the air conditioner is located and the sleep mode time. Based on the outdoor environment related data and a pre-built environmental thermal resistance mapping database, the clothing thermal resistance data is determined. The environmental thermal resistance mapping database stores the relationship data between the outdoor environment related data and the clothing thermal resistance.

[0072] In some cases, the temperature and humidity sensor or temperature and humidity measuring instrument configured in the air-conditioning space may malfunction and fail to obtain environmental data. In order to ensure the normal operation of the air-conditioning in sleep mode, an environmental thermal resistance mapping database can be established in advance.

[0073] Specifically, the environmental thermal resistance mapping database stores relationship data between outdoor environment related data and bedding thermal resistance. For example, an association is established between the outdoor temperature, season, and weather conditions in each historical sleep mode and the corresponding bedding thermal resistance data, and a mapping relationship between the outdoor environment related data and bedding thermal resistance is constructed and stored in the environmental thermal resistance mapping database.

[0074] In the case where it is impossible to obtain environmental data within a specified historical period, the outdoor environmental data corresponding to the target geographical area where the air conditioner is located and the sleep mode can be obtained. The outdoor environmental data can be obtained through weather forecasts, including outdoor temperature, season, and weather conditions. Then, the corresponding clothing thermal resistance data is mapped in the environmental thermal resistance mapping database based on the outdoor environmental data.

[0075] In some embodiments of the present specification, the air conditioner is provided with a plurality of temperature control cycles in the sleep mode. The plurality of temperature control cycles include adjacent first temperature control cycles and second temperature control cycles. The current moment is the end moment of the first temperature control cycle. After determining the thermal comfort data at the current moment according to the clothing thermal resistance data and the second metabolic rate data, the thermal comfort data determination method further includes: based on the thermal comfort data corresponding to the end moment of the first temperature control cycle, temperature control is performed on the operation of the air conditioner in the second temperature control cycle.

[0076] In the embodiment of the present specification, the air conditioner is set with multiple temperature control cycles in the sleep mode, and the duration of the temperature control cycle can be determined according to the actual situation. For example, one hour can be used as a temperature control cycle, which is considered to be a more appropriate temperature control frequency. The thermal comfort data is calculated once at the end of each temperature control cycle, and the temperature of the air conditioner in the next temperature control cycle is regulated according to the calculated thermal comfort data.

[0077] Exemplarily, if the multiple temperature control cycles include adjacent first temperature control cycles and second temperature control cycles, the current moment is the end moment of the first temperature control cycle. When calculating the thermal comfort data at the current moment, first determine the second metabolic rate data corresponding to the current moment based on the duration between the current moment and the initial moment of operation and the metabolic rate change function. After determining the thermal comfort data at the current moment based on the second metabolic rate data and the clothing thermal resistance data, the operation of the air conditioner in the second temperature control cycle is temperature controlled according to the thermal comfort data.

[0078] For example, if the specified sleep duration is 6 hours, the temperature control is performed according to one temperature control cycle per hour, and the air conditioner enters the sleep mode at 12 o'clock at night. If the current time is 2 o'clock at night, correspondingly, the first temperature control cycle is the period from 1:00:00 at night to 1:59:59 at night, and the second temperature control cycle is the period from 2:00:00 at night to 2:59:59 at night. At this time, the temperature of the air conditioner can be controlled for the period from 2:00:00 at night to 2:59:59 at night in the second temperature control cycle based on the thermal comfort data corresponding to the end time 1:59:59 of the first temperature control cycle.

[0079] In some embodiments of the present specification, based on the thermal comfort data corresponding to the current moment, the operation of the air conditioner in the second temperature control cycle is temperature controlled, including one of the following: if the thermal comfort data is within a preset thermal comfort range, the air conditioner is controlled to maintain the current temperature in the second temperature control cycle. If the thermal comfort data is greater than the maximum value in the preset thermal comfort range, the air conditioner is controlled to lower the specified temperature difference in the second temperature control cycle. If the thermal comfort data is less than the minimum value in the preset thermal comfort range, the air conditioner is controlled to increase the specified temperature difference in the second temperature control cycle.

[0080] In the embodiments of the present specification, a thermal comfort range [a, b] is preset. If the thermal comfort data is within the preset thermal comfort range, it can be indicated that the object is currently in a relatively comfortable state. If the thermal comfort data is greater than the maximum value of the preset thermal comfort range, it means that the object is currently in a relatively hot state. If the thermal comfort data is less than the minimum value of the preset thermal comfort range, it means that the object is currently in a relatively cold state.

[0081] Taking the air-conditioning PMV index as thermal comfort data as an example, air-conditioning PMV refers to the human comfort index in the air-conditioning system.

[0082] The values ​​of the air conditioning PMV index usually range from -3 to +3, indicating different degrees of comfort or discomfort:

[0083] PMV = +3 means very hot and extremely uncomfortable;

[0084] PMV = +2 means hot, very uncomfortable;

[0085] PMV = +1 means slightly hot and uncomfortable;

[0086] PMV = 0 means comfortable;

[0087] PMV = -1 means slightly cold and uncomfortable;

[0088] PMV = -2 means cold and very uncomfortable;

[0089] PMV=-3 means very cold and extremely uncomfortable.

[0090] In air conditioning system design and adjustment, the goal is to make the air conditioning PMV index as close to 0 as possible to provide a comfortable indoor environment.

[0091] Therefore, the preset thermal comfort range can be set to [-1,1]. When the thermal comfort data is within the preset thermal comfort range [-1,1], it indicates that the object in the air-conditioned space is in a relatively comfortable state. If the thermal comfort data is greater than the maximum value 1 in the preset thermal comfort range, it indicates that the object in the air-conditioned space is in a relatively hot state. If the thermal comfort data is less than the minimum value -1 in the preset thermal comfort range, it indicates that the object in the air-conditioned space is in a relatively cold state. Specifically, the preset thermal comfort range can be set based on actual needs.

[0092] Therefore, when the thermal comfort data corresponding to the current moment is calculated, the thermal comfort data is compared with the preset thermal comfort range. If the thermal comfort data is within the preset thermal comfort range, the object in the air-conditioning space is in a relatively comfortable state, and the air-conditioning is controlled to maintain the current temperature in the second temperature control cycle. If the thermal comfort data is greater than the maximum value in the preset thermal comfort range, it means that the object in the air-conditioning space is in a relatively hot state, and the air-conditioning is controlled to lower the specified temperature difference in the second temperature control cycle. If the thermal comfort data is less than the minimum value in the preset thermal comfort range, it means that the object in the air-conditioning space is in a relatively cold state, and the air-conditioning is controlled to increase the specified temperature difference in the second temperature control cycle. Among them, the specified temperature difference can be determined according to the actual situation. For example, the specified temperature difference can be 0.5°C.

[0093] When the time between the current time and the initial time when the air conditioner runs in the current sleep mode is longer than the sleep time preset by the object, the sleep mode is exited and the temperature control of the air conditioner is ended.

[0094] It is understandable that, while the air conditioner is running in the sleep mode, if the subject actively adjusts the temperature of the air conditioner using the air conditioner remote controller, the air conditioner can directly exit the sleep mode.

[0095] Through the above embodiments, the thermal resistance data of bedding in this specification is calculated based on the specified thermal comfort data and environmental data corresponding to the historical specified time period, which is more in line with the actual situation of the air conditioner user. At the same time, this specification provides three methods for calculating the thermal resistance of bedding, one is to use the environmental data and preset thermal comfort data in the first temperature control cycle of the current sleep mode to calculate the thermal resistance data of bedding; one is to use the environmental data in the last sleep mode and the thermal comfort data fed back by the user to calculate the thermal resistance data of bedding; one is to obtain the thermal resistance data of bedding through the environmental thermal resistance mapping database. The three methods can meet various situations in real life. After the air conditioner enters the sleep mode each time, a piece of bedding thermal resistance data for this sleep mode is calculated. In addition, in the embodiment of this specification, the metabolic rate data is determined based on the metabolic rate change function. In the sleep mode, the metabolic rate data changes with the duration of falling asleep, and there is a process of first falling and then rising, which better matches the thermal needs of the object at night.

[0096] In a specific embodiment, the air conditioner in the entire sleep mode is described by taking the environmental data and preset thermal comfort data in the first temperature control cycle of the current sleep mode to calculate the clothing thermal resistance data as an example. Figure 2 , the thermal comfort data determination method may further include:

[0097] S201, when the designated sleep time is reached or in response to an instruction to enter the sleep mode sent by the air conditioner remote controller, the air conditioner operates in the sleep mode and records the initial operation time.

[0098] S202, determining second metabolic rate data of the subject at the current moment based on the duration between the current moment and the initial moment of the operation and the metabolic change function.

[0099] S203, using a temperature and humidity sensor in the air-conditioned space or arranged on the air conditioner to record the environmental data in the air-conditioned space in real time.

[0100] S204, obtaining first temperature data, first relative humidity data and initial metabolic rate data in a first temperature control cycle.

[0101] S205: Determine clothing thermal resistance data based on the first temperature data, the first relative humidity data, and the initial metabolic rate data.

[0102] S206, when the current moment reaches the end moment of the first temperature control cycle, determining the thermal comfort data at the current moment based on the clothing thermal resistance data, the second metabolic rate data and the current moment environmental data.

[0103] S207, judging whether the thermal comfort data at the current moment is within a preset thermal comfort range. For example, judging whether the PMV is within a preset thermal comfort range [a, b].

[0104] S208: If the thermal comfort data is within the preset thermal comfort range, the air conditioner is controlled to maintain the current temperature in the second temperature control cycle.

[0105] S209: If the thermal comfort data is less than the minimum value within the preset thermal comfort range, the air conditioner is controlled to increase the specified temperature difference within the second temperature control cycle, wherein the specified temperature difference is 0.5°C.

[0106] S210: If the thermal comfort data is greater than the maximum value within the preset thermal comfort range, the air conditioner is controlled to lower the specified temperature difference within the second temperature control cycle, wherein the specified temperature difference is 0.5°C.

[0107] S211, when the current moment reaches the end moment of the second temperature control cycle, recalculate the thermal comfort data.

[0108] S212, if the time difference between the current time and the initial time of operation is less than the preset sleep time of the object, the above S207, S208, S209, and S210 are repeatedly executed.

[0109] S213: When the time between the current time and the initial time when the air conditioner runs in the current sleep mode is greater than the sleep time preset by the object, exit the sleep mode.

[0110] Corresponding to the above embodiment, the second embodiment of the specification further proposes a device for determining thermal comfort data. Figure 3 , the thermal comfort data determination device comprises:

[0111] The first metabolic rate determination module 310 is used to determine the first metabolic rate data of the object in a specified historical period based on the metabolic change function of the object in the air-conditioning action space in the sleep mode.

[0112] The metabolic change function is used to characterize the change of the metabolic rate of the subject with the sleep time.

[0113] The clothing thermal resistance determination module 320 is used to determine clothing thermal resistance data based on the first metabolic rate data and the environmental data of the air-conditioning space within a historical specified period of time under the condition of specified thermal comfort data.

[0114] The second metabolic rate determination module 330 is used to determine the second metabolic rate data of the subject at the current moment based on the metabolic change function.

[0115] The thermal comfort determination module 340 is used to determine the thermal comfort data at the current moment according to the clothing thermal resistance data and the second metabolic rate data.

[0116] Through the above-mentioned embodiments, after the air conditioner runs in the sleep mode each time, under the condition of specifying the thermal comfort data, the thermal resistance data of the bedding is calculated based on the first metabolic rate data and the environmental data corresponding to the historical specified time period. Then, the second metabolic rate data at the current moment is determined based on the metabolic rate change function, and the thermal comfort data at the current moment is determined based on the second metabolic rate data and the thermal resistance data of the bedding. In the embodiments of this specification, considering the changes in the thermal parameters of the air conditioner user, after the air conditioner runs in the sleep mode each time, the thermal resistance data of the bedding used to calculate the thermal comfort data is determined, and the metabolic rate data changes with the time of falling asleep. The thermal comfort data calculated in the above manner is more in line with the actual thermal comfort of the air conditioner user, thereby improving the thermal comfort of the air conditioner user.

[0117] For the specific definition of the thermal comfort data determination device, please refer to the definition of the thermal comfort data determination method above, which will not be repeated here. Each module in the above thermal comfort data determination device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0118] Corresponding to the above embodiment, the embodiment of this specification also provides an air conditioner.

[0119] Figure 4 is a structural block diagram of an air conditioner according to an embodiment of the present specification, such as Figure 4 As shown, the air conditioner 400 includes a memory 404, a processor 402, and a thermal comfort data determination program 406 stored in the memory 404 and executable on the processor 402. When the processor 402 executes the thermal comfort data determination program 406, the thermal comfort data determination method of any of the above-mentioned embodiments is implemented.

[0120] According to the air conditioner of the embodiment of the present specification, when the processor 402 executes the thermal comfort data determination program 406, considering the change of thermal parameters of the air conditioner user, after each operation of the air conditioner in the sleep mode, the clothing thermal resistance data used for calculating the thermal comfort data is determined, and the metabolic rate data changes with the sleeping time. The thermal comfort data calculated in the above manner is more in line with the actual thermal comfort of the air conditioner user, thereby improving the thermal comfort of the air conditioner user.

[0121] Corresponding to the above embodiments, the embodiments of this specification further propose a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, any one of the above methods for determining thermal comfort data is implemented.

[0122] According to the computer-readable storage medium of the embodiment of this specification, when the computer program is executed by the processor, the thermal parameter changes of the air conditioner user are taken into consideration, and after the air conditioner is operated in the sleep mode each time, the clothing thermal resistance data used to calculate the thermal comfort data is determined, and the metabolic rate data changes with the sleeping time. The thermal comfort data calculated in the above manner is more in line with the actual thermal comfort of the air conditioner user, thereby improving the thermal comfort of the air conditioner user.

[0123] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0124] It should be understood that various parts of this specification can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0125] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of this specification. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0126] In the description of this specification, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this specification and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on this specification.

[0127] In addition, the terms "first", "second", etc. used in the embodiments of this specification are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in this embodiment. Therefore, the features defined by the terms "first", "second", etc. in the embodiments of this specification can explicitly or implicitly indicate that the embodiment includes at least one of the features. In the description of this specification, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0128] In this specification, unless otherwise clearly specified or limited in the embodiments, the terms "install", "connect", "connect" and "fix" etc. appearing in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integrated connection. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements, or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in this specification can be understood according to the specific implementation situation.

[0129] In this specification, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0130] Although the embodiments of the present specification have been shown and described above, it is understood that the above embodiments are exemplary and are not to be construed as limitations on the present specification. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present specification.

Claims

1. A method for determining thermal comfort data, characterized in that: The method comprises: Determine the first metabolic rate data of the object in a specified historical period based on the metabolic change function of the object in the air-conditioning action space in the sleep mode; wherein the metabolic change function is used to characterize the change of the metabolic rate of the object with the sleep time; Under the condition of designated thermal comfort data, determining clothing thermal resistance data based on the first metabolic rate data and the environmental data of the air-conditioning action space in the designated historical period; determining second metabolic rate data of the subject at a current moment based on the metabolic change function; The thermal comfort data at the current moment is determined according to the clothing thermal resistance data and the second metabolic rate data.

2. The method according to claim 1, characterized in that The designated thermal comfort data adopts preset thermal comfort data; the air conditioner is set with multiple temperature control cycles in the sleep mode, the environmental data includes first temperature data and first relative humidity data in the first temperature control cycle; the first metabolic rate data includes initial metabolic rate data in the first temperature control cycle; Determining clothing thermal resistance data based on the first metabolic rate data and the environmental data of the air-conditioning action space in the historical specified period includes: The clothing thermal resistance data is determined based on the first temperature data, the first relative humidity data, and the initial metabolic rate data.

3. The method according to claim 1, characterized in that The specified thermal comfort data is determined based on the thermal comfort feedback received from the user end for the object in the air-conditioning action space in the last sleep mode; the environmental data includes the second temperature data and the second relative humidity data in the historical specified time period; Determining clothing thermal resistance data based on the first metabolic rate data and the environmental data of the air-conditioning action space in the historical specified period includes: The clothing thermal resistance data is determined based on the second temperature data, the second relative humidity data, and the first metabolic rate data.

4. The method according to claim 3, characterized in that The air conditioner is set with multiple temperature control cycles in the last sleep mode; the historical designated time period is the last temperature control cycle in the last sleep mode; The first metabolic rate data includes the terminal metabolic rate data in the last temperature control cycle; If the thermal comfort feedback condition indicates the thermal comfort of the subject at the end time of the last sleep mode, determining the clothing thermal resistance data based on the second temperature data, the second relative humidity data, and the first metabolic rate data includes: The clothing thermal resistance data is determined according to the termination metabolic rate data, the second temperature data in the last temperature control cycle, and the second relative humidity data in the last temperature control cycle.

5. The method according to claim 3, characterized in that: The historical designated time period is the entire historical time period corresponding to the last sleep mode; if the thermal comfort feedback situation indicates the thermal comfort of the subject in the entire historical time period, the determining the clothing thermal resistance data based on the second temperature data, the second relative humidity data and the first metabolic rate data includes: The clothing thermal resistance data is determined according to the second temperature data within the entire historical period, the second relative humidity data within the entire historical period, and the first metabolic rate data.

6. The method according to claim 1, characterized in that In the case where the environmental data within the historical specified period cannot be obtained, the method further includes: Acquire outdoor environment related data corresponding to the target geographical area where the air conditioner is located and the sleep mode time; The clothing thermal resistance data is determined based on the outdoor environment related data and a pre-built environmental thermal resistance mapping database; wherein the environmental thermal resistance mapping database stores relationship data between the outdoor environment related data and the clothing thermal resistance.

7. The method according to claim 2, 3 or 6, characterized in that: The air conditioner is provided with a plurality of temperature control cycles in the sleep mode; the plurality of temperature control cycles include a first temperature control cycle and a second temperature control cycle that are adjacent to each other; the current moment is the end moment of the first temperature control cycle; After determining the thermal comfort data at the current moment according to the clothing thermal resistance data and the second metabolic rate data, the method further includes: Based on the thermal comfort data corresponding to the end time of the first temperature control cycle, the operation of the air conditioner in the second temperature control cycle is temperature controlled.

8. The method according to claim 7, characterized in that Based on the thermal comfort data corresponding to the current moment, temperature control is performed on the operation of the air conditioner in the second temperature control cycle, including one of the following: If the thermal comfort data is within a preset thermal comfort range, controlling the air conditioner to maintain the current temperature during the second temperature control cycle; If the thermal comfort data is greater than a maximum value within a preset thermal comfort range, controlling the air conditioner to lower a specified temperature difference within the second temperature control cycle; If the thermal comfort data is less than a minimum value within the preset thermal comfort range, the air conditioner is controlled to increase the designated temperature difference within the second temperature control cycle.

9. An air conditioner, characterized in that: The method comprises a memory, a processor and a thermal comfort data determination program stored in the memory and executable on the processor. When the processor executes the thermal comfort data determination program, the thermal comfort data determination method according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the method for determining thermal comfort data as described in any one of claims 1 to 8 is implemented.

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