Method, apparatus, and storage medium for correcting thermal comfort model

Abstract

The application relates to the technical field of model correction, and discloses a method for correcting a thermal comfort model, which comprises the following steps: obtaining environmental perception information of user feedback; determining a third correction amount for correcting an SPMV model according to the environmental perception information; and correcting the SPMV model according to the third correction amount for correcting the SPMV model. According to the scheme, the third correction amount for correcting the SPMV model is determined, and the SPMV model is corrected in combination with the third correction amount, so that a thermal comfort model with higher precision can be obtained in combination with actual environmental requirements of a user, the corrected thermal comfort model is more in line with actual change rules of the thermal comfort of the user, and therefore the accuracy of thermal comfort judgment in a sleep stage of the user is improved, and the demand of the user for the thermal comfort is met. The application further discloses a device for correcting a thermal comfort model and a storage medium.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of model correction, for example to a method, device and storage medium for correcting a thermal comfort model. BACKGROUND

[0002] With the continuous improvement of people's living standards, intelligent household appliances have gradually entered the lives of users. At present, with the increasing demand of users for the thermal comfort of their environment, air conditioners have become an essential intelligent household appliance for every family.

[0003] At the present stage, in order to meet the thermal comfort needs of different users, a thermal comfort model is usually established in the air conditioner, and the thermal comfort model is used to calculate the thermal comfort of the user in each sleep stage; the operation mode of the indoor device is controlled according to the thermal comfort to adjust the user's thermal comfort feeling. In related technologies, the establishment process of the thermal comfort model usually refers to environmental factors or user's physical factors. Although the thermal comfort model thus established can reflect the user's thermal comfort, it cannot establish a more accurate thermal comfort model in combination with the actual environmental needs of the user. SUMMARY

[0004] To provide a general summary of some aspects of the disclosed embodiments, the following is submitted. The summary is not intended to be a comprehensive overview of the disclosure, nor is it intended to determine key / critical elements of the embodiments or to delineate the scope of the disclosure, but to present some aspects of the disclosure as a prelude to the detailed description below.

[0005] The embodiments of the present disclosure provide a method, device and storage medium for correcting a thermal comfort model, to provide a method capable of obtaining a more accurate thermal comfort model.

[0006] In some embodiments, the method for correcting a thermal comfort model comprises: obtaining user feedback environmental perception information; determining a third correction amount for correcting the SPMV model according to the environmental perception information; and correcting the SPMV model according to the third correction amount for correcting the SPMV model.

[0007] In some embodiments, the device for correcting a thermal comfort model comprises: a processor and a memory storing program instructions, the processor being configured to execute the method for correcting a thermal comfort model as described above when running the program instructions.

[0008] In some embodiments, the storage medium comprises: storing program instructions, the program instructions being executed to perform the method for correcting a thermal comfort model as described above.

[0009] The method, device and storage medium for correcting a thermal comfort model provided by the embodiments of the present disclosure can achieve the following technical effects: environmental perception information of user feedback is obtained; a third correction amount for correcting an SPMV model is determined according to the environmental perception information; and the SPMV model is corrected according to the third correction amount for correcting the SPMV model. With this scheme, by determining the third correction amount for correcting the SPMV model and correcting the SPMV model in combination with the third correction amount, a thermal comfort model with higher precision can be obtained in combination with actual environmental needs of a user, so that the corrected thermal comfort model is more in line with actual change rules of the thermal comfort of the user, thereby improving the accuracy of thermal comfort judgment of a sleep stage of the user and meeting the needs of the user for thermal comfort.

[0010] The foregoing general description and the following description are merely exemplary and explanatory, and are not intended to limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0011] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, which are schematic and not intended to be limiting of the embodiments, and in which like reference numerals designate similar elements in the figures and wherein:

[0012] Figure 1 is a method for correcting a thermal comfort model provided by the embodiments of the present disclosure;

[0013] Figure 2 is a method for determining a third correction amount provided by the embodiments of the present disclosure;

[0014] Figure 3 is a method for correcting an SPMV model provided by the embodiments of the present disclosure;

[0015] Figure 4 is a method for obtaining an SPMV model provided by the embodiments of the present disclosure;

[0016] Figure 5 is a device for correcting a thermal comfort model provided by the embodiments of the present disclosure;

[0017] Figure 6 is another device for correcting a thermal comfort model provided by the embodiments of the present disclosure. DETAILED DESCRIPTION

[0018] In order to enable a more detailed understanding of the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure is described in detail below, and the accompanying drawings are used for reference only and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, through multiple details, a sufficient understanding of the disclosed embodiments is provided. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be simplified to facilitate the drawings.

[0019] The terms "first", "second", and the like in the specification and claims of the embodiments of the present disclosure and the above drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so as to implement the embodiments of the present disclosure described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0020] Unless otherwise specified, the term "multiple" means two or more.

[0021] In the embodiments of the present disclosure, the character " / " represents an "or" relationship between the objects before and after it. For example, A / B means: A or B.

[0022] The term "and / or" is a description of the association between objects, which means that there can be three relationships. For example, A and / or B means: A or B, or, A and B, the three relationships.

[0023] The term "corresponding" can refer to an association or binding relationship, A corresponding to B means that there is an association or binding relationship between A and B.

[0024] In the embodiments of the present disclosure, the smart home appliance refers to the home appliance product formed after introducing microprocessors, sensor technology, network communication technology into home appliances, with the characteristics of intelligent control, intelligent perception and intelligent application. The operation process of the smart home appliance often depends on the application and processing of modern technologies such as Internet of Things, Internet and electronic chips, for example, the smart home appliance can realize remote control and management of the smart home appliance by connecting electronic devices.

[0025] In the embodiments of the present disclosure, the terminal device refers to an electronic device with a wireless connection function. The terminal device can be connected to the smart home appliance through the Internet, or can be directly connected to the smart home appliance through Bluetooth, WiFi, etc. In some embodiments, the terminal device is, for example, a mobile device, a computer, or a built-in vehicle device of a hovercar, or any combination thereof. The mobile device can include, for example, a mobile phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or any combination thereof. The wearable device can include, for example, a smart watch, a smart bracelet, a pedometer, etc.

[0026] Figure 1 is a schematic diagram of a method for correcting a thermal comfort model provided by the embodiments of the present disclosure. In combination with Figure 1 The embodiments of the present disclosure provide a method for correcting a thermal comfort model, which includes:

[0027] S11, the air conditioner obtains user feedback environment perception information.

[0028] S12, the air conditioner determines a third correction amount for correcting the SPMV model according to the environment perception information.

[0029] S13, the air conditioner corrects the SPMV model according to the third correction amount for correcting the SPMV model.

[0030] In the present scheme, the air conditioner can obtain user feedback environment perception information. Here, the environment perception information can include user environment perception and each environment perception corresponding to a marked time period. Here, the environment perception can be feeling cold, feeling hot, etc. As an example, the air conditioner can collect the user's sentence information through its associated voice recognition module, and identify the environment perception information in the sentence information. As another example, the air conditioner can obtain the user's feedback text information through its associated terminal device, and filter out the environment perception information in the text information. Further, the air conditioner can determine a third correction amount for correcting the SPMV model in combination with the user feedback environment perception information after obtaining the user feedback environment perception information. Specifically, the air conditioner can determine a temperature correction amount for correcting the environment temperature according to the environment perception information; and determine the third correction amount for correcting the SPMV model in combination with the temperature correction amount for correcting the environment temperature. In this way, the third correction amount for correcting the SPMV model can be determined more accurately in combination with the user feedback environment perception information. Further, the air conditioner corrects the SPMV model according to the third correction amount for correcting the SPMV model. Here, the SPMV model includes:

[0031]

[0032] Wherein, M, I cl , W respectively represent metabolic rate, clothing thermal resistance and external mechanical work, and the external mechanical work is 0. a , v, H, tr respectively represent ambient temperature, wind speed, relative humidity and mean radiant temperature, and the mean radiant temperature tr is equal to the ambient temperature t a in value. a , f cl , h c , t cl respectively represent water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient and clothing outer surface temperature.

[0033] By using the above SPMV model, the human body parameter factors, environmental factors and other related factors can be comprehensively considered, and a thermal comfort model associated with the user's sleep can be more accurately constructed. Compared with the PMV used in the related art, the actual comfort degree of the user in the sleep state can be accurately reflected. The human body parameter factors include metabolic rate, clothing thermal resistance and external mechanical work. The environmental factors include ambient temperature, wind speed, relative humidity and mean radiant temperature. The other related factors include water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient and clothing outer surface temperature.

[0034] By using the method for correcting the thermal comfort model provided in the embodiments of the present disclosure, the environmental perception information fed back by the user is obtained; the third correction amount for correcting the SPMV model is determined according to the environmental perception information; and the SPMV model is corrected according to the third correction amount for correcting the SPMV model. With this scheme, by determining the third correction amount for correcting the SPMV model and correcting the SPMV model in combination with the third correction amount, a thermal comfort model with higher accuracy can be obtained in combination with the actual environmental needs of the user, so that the corrected thermal comfort model is more in line with the actual change rule of the thermal comfort of the user, thereby improving the accuracy of the thermal comfort judgment of the user in the sleep stage and meeting the needs of the user for thermal comfort.

[0035] Figure 2 is a method for determining a third correction amount provided in the embodiments of the present disclosure; in combination with Figure 2 , optionally, S12, the air conditioner determines the third correction amount for correcting the SPMV model according to the environmental perception information, including:

[0036] S21, the air conditioner determines the temperature correction amount for correcting the ambient temperature according to the environmental perception information.

[0037] S22, the air conditioner determines the third correction amount for correcting the SPMV model according to the temperature correction amount for correcting the ambient temperature.

[0038] In this solution, the air conditioner can determine the temperature correction amount for correcting the environment temperature according to the environment feeling information. Specifically, the air conditioner can determine the temperature correction amount for correcting the environment temperature as 0.5 when the user's environment feeling information is feeling cold. It can be understood that the more intense the user's cold feeling, the greater the temperature correction amount for correcting the environment temperature. As an example, the temperature correction amount for correcting the environment temperature can be 0.5n; wherein the more intense the user's cold feeling, the greater the value of n. The air conditioner can also determine the temperature correction amount for correcting the environment temperature as -0.5 when the user's environment feeling information is feeling hot. It can be understood that the more intense the user's hot feeling, the smaller the temperature correction amount for correcting the environment temperature. As an example, the temperature correction amount for correcting the environment temperature can be -0.5n; wherein the more intense the user's hot feeling, the greater the value of n. In this way, the temperature correction amount for correcting the environment temperature can be determined more accurately in combination with the user's feedback environment feeling information, providing a more accurate data basis for the air conditioner's environment temperature regulation. That is, the target adjustment temperature of the air conditioner is the temperature of the marked period of the environment feeling information + the temperature correction amount. Here, the temperature of the marked period of the environment feeling information can be obtained by the actual sleep temperature curve. With this solution, the air conditioner can be more accurately regulated. Further, the air conditioner can determine the third correction amount for correcting the SPMV model according to the temperature correction amount for correcting the environment temperature. It can be understood that the environment temperature is an important reference parameter in the SPMV model, and when the environment temperature in the environment where the air conditioner is located changes, the output of the SPMV model will also change, and there is a certain proportional relationship between the two. With this solution, the air conditioner can infer the change of the environment temperature by combining the correction amount of the environment temperature, and then determine a more accurate third correction amount for correcting the SPMV model.

[0039] Optionally, S22, the air conditioner determines the third correction amount for correcting the SPMV model according to the temperature correction amount for correcting the environment temperature, comprising:

[0040] The air conditioner determines the third correction amount corresponding to the temperature correction amount for correcting the environment temperature as the third correction amount for correcting the SPMV model according to the preset corresponding relationship.

[0041] Experiments show that the temperature correction amount for correcting the environment temperature and the third correction amount for correcting the SPMV model have a certain proportional relationship. Here, when the temperature correction amount for correcting the environment temperature is 0.5, the third correction amount for correcting the SPMV model corresponding thereto is 0.2. With this solution, the third correction amount for correcting the SPMV model can be determined more accurately by combining the change rule of the environment temperature and the SPMV model output value.

[0042] Optionally, S13, the air conditioner corrects the SPMV model according to a third correction quantity for correcting the SPMV model, including:

[0043] SPMV 修 = SPMV + z(t)

[0044] wherein, SPMV 修 is the corrected SPMV model, and z(t) is the third correction quantity for correcting the SPMV model.

[0045] In the scheme, the air conditioner can correct the SPMV model in combination with the constructed SPMV model and the third correction quantity for correcting the SPMV model.

[0046] By using the corrected SPMV model, the human parameter factors, the environmental factors, the actual environmental requirements of the user and other associated factors can be comprehensively considered, and the thermal comfort model associated with the sleep of the user can be more accurately constructed. Compared with the PMV used in the related art, the actual comfort degree of the user in the sleep state can be accurately reflected. The human parameter factors include the metabolic rate, the thermal resistance of the clothing and the external mechanical work. The environmental factors include the environmental temperature, the wind speed, the relative humidity and the mean radiant temperature. The other associated factors include the water vapor partial pressure, the clothing surface coefficient, the convective heat transfer coefficient and the clothing outer surface temperature.

[0047] Figure 3 is a schematic diagram of a method for correcting the SPMV model provided by the embodiment of the disclosure; as shown in Figure 3 S13, the air conditioner corrects the SPMV model, including:

[0048] S31, the air conditioner extracts a marked period of the user's environmental requirement from the environmental perception information.

[0049] S32, the air conditioner determines a target sleep stage to which the marked period belongs.

[0050] S33, the air conditioner corrects the SPMV model of the target sleep stage.

[0051] In the scheme, it can be understood that the user has different environmental needs for the environment in which he / she is located in different sleep periods. Therefore, the air conditioner extracts the period in which the user has environmental needs from the environmental perception information. Here, the marked period is any period in which the user is in a sleep state and the user has environmental needs for the period. For example, the user's environmental needs at 23:00 are to feel cold. Here, 23:00 is the marked period. Further, after determining the marked period, the air conditioner needs to determine the target sleep stage to which the marked period belongs; and correct the SPMV model of the target sleep stage. With this scheme, the sleep stage in which the user has environmental needs can be corrected more targetedly, so that the corrected thermal comfort model is more in line with the actual change rule of thermal comfort, and the needs of the user for thermal comfort are met.

[0052] Figure 4 is a schematic diagram of a method for obtaining an SPMV model provided by an embodiment of the present disclosure;

[0053] In combination with Figure 4 as shown, optionally, before correcting the SPMV model, further comprising:

[0054] S41, the air conditioner obtains a PMV model and a first correction amount for correcting the PMV model.

[0055] S41, the air conditioner constructs an SPMV model according to the PMV model and the first correction amount.

[0056] In the scheme, the air conditioner can obtain a PMV model. Specifically, the PMV model includes:

[0057]

[0058] In the embodiment, M, I cl , W respectively represent metabolic rate, clothing thermal resistance and external mechanical work, and the external mechanical work is 0. a , v, H, tr respectively represent environmental temperature, wind speed, relative humidity and mean radiant temperature, and the mean radiant temperature tr is equal to the environmental temperature t a in value. P a , f cl , h c , t cl respectively represent water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient and clothing outer surface temperature.

[0059] Specifically, the water vapor partial pressure P a is determined according to the environmental temperature and the relative humidity, and is calculated using the following formula:

[0060]

[0061] Specifically, the convective heat transfer coefficient is determined according to the ambient temperature, the average radiation temperature and the wind speed, and is calculated by using the following formula:

[0062]

[0063] Specifically, the clothing surface coefficient can be determined in the following multiple ways:

[0064] The first way: it can be understood that the thickness and the covering area of the clothing in different seasons are different, and the thermal resistance of the clothing is also different accordingly. Therefore, the air conditioner can determine the clothing surface coefficient in combination with the obtained thermal resistance of the clothing.

[0065] The second way: the air conditioner can also obtain the current seasonal information and the exposed parts of the user in the sleep state, and determine the clothing heat dissipation area according to the current seasonal information, so as to determine the corrected clothing surface coefficient according to the exposed parts of the user in the sleep state and the clothing heat dissipation area. Specifically, the air conditioner can determine the clothing surface coefficient corresponding to the exposed parts of the user in the sleep state and the clothing heat dissipation area as the clothing surface coefficient according to a preset corresponding relationship.

[0066] The third way: the clothing surface coefficient can also be determined by looking up a table. The table to be looked up can store the clothing surface coefficients of the user in different clothing.

[0067] The fourth way: the air conditioner can also obtain the current seasonal information and the exposed area of the user in the sleep state, and determine the clothing heat dissipation area according to the current seasonal information, so as to take the ratio of the clothing heat dissipation area to the exposed area of the user in the sleep state as the clothing surface coefficient.

[0068] In this way, the clothing surface coefficient can be more accurately determined in multiple ways.

[0069] Specifically, the air conditioner determines the human metabolic rate M of the user in the sleep state, including:

[0070] The air conditioner obtains the average basal metabolic rate of the user in the wake-up period before entering the sleep stage, the average heart rate of the user in each sleep stage, the reduction ratio of the average heart rate of the user in each sleep stage to the average basal metabolic rate of the user in the wake-up period before entering the sleep stage, and a second correction amount for correcting the metabolic rate model.

[0071] The air conditioner determines the human metabolic rate in the sleep state according to the average basal metabolic rate of the user in the wake-up period before entering the sleep stage, the average heart rate of the user in each sleep stage, the reduction ratio of the average heart rate of the user in each sleep stage to the average basal metabolic rate of the user in the wake-up period before entering the sleep stage, and the second correction amount for correcting the metabolic rate model.

[0072] In the embodiment, the average basal metabolic rate of the user in the wake-up period before entering the sleep stage can be 40 W / m 2The average heart rate of the user in each sleep stage and the drop ratio of the wake period before entering the sleep stage can also be obtained in various ways:

[0073] In the first way, when the current indoor temperature is the preset temperature, the air conditioner can obtain the gender information of the user, the sleep cycle information of the user currently in, and the sleep stage information of the user in the sleep cycle thereof; thus, the air conditioner can take, as the drop ratio of the average heart rate of the user in each sleep stage and the wake period before entering the sleep stage, the drop ratio corresponding to the gender information of the user, the sleep cycle information of the user currently in, and the sleep stage information of the user in the sleep cycle thereof according to a preset corresponding relationship.

[0074] In the second way, when the ambient temperature is 26℃, the drop ratio of the wake period before entering the sleep stage of the male user and the female user in each sleep stage can also be summarized, and the average heart rate of the user in each sleep stage and the drop ratio of the wake period before entering the sleep stage can be obtained in combination with the summarized table data, for reference to Table 1 and Table 2. Here, Table 1 represents the drop ratio of the wake period before entering the sleep stage of the male user in each sleep stage when the ambient temperature is 26℃. Table 2 represents the drop ratio of the wake period before entering the sleep stage of the female user in each sleep stage when the ambient temperature is 26℃. In the tables, W / m 2 is a unit of human metabolism.

[0075] Table 1

[0076] Male W N1 N2 N3 R First sleep session 0 7.13％ 15.66％ 15.83％ 9.62％ Second sleep session 12％ 16.05％ 20.91％ 20.9％ 16.03％

[0077] Table 2

[0078] Female W N1 N2 N3 R First sleep session 0 7.65％ 10.91％ 11.93％ 2.83％ Second sleep session 3％ 14.9％ 18.86％ 17.81％ 12.21％

[0079] In Table 1 and Table 2, W represents the wake period, N1 represents the light sleep period, N2 / N3 represents the deep sleep period, and R represents the rapid eye movement period. The first sleep cycle is defined as 2.5 hours after the user falls asleep. The second sleep cycle is defined as the length of time of the sleep stage of the user other than the first sleep cycle after entering the sleep.

[0080] From the above experimental data, it can be seen that after the user enters sleep in an environment with an ambient temperature of 26°C, the average heart rate of the user in each sleep stage and the reduction ratio f of the wake-up period before entering the sleep stage have great differences. Therefore, the metabolic rate M also has differences. Since the factors affecting the output of the SPMV model include the metabolic rate M, the comfort value of the user in different sleep stages obtained according to the SPMV model will inevitably fluctuate, and even exceed the upper limit threshold of comfort or be less than the lower limit threshold of comfort. At the same time, the factors affecting the output of the SPMV model also include the ambient temperature, the relative humidity, and the wind speed. Therefore, when the metabolic rate M changes and causes the output of the SPMV model to exceed the preset range, the three parameters of the ambient temperature, the relative humidity, and the wind speed can be regulated to make the output of the SPMV model obtained after regulation within the preset range, thereby improving the comfort of the user in the sleep stage. The preset range is [lower limit threshold of comfort, upper limit threshold of comfort]. It should be noted that the lower limit threshold of comfort and the upper limit threshold of comfort can be set according to user needs. For example, the lower limit threshold of comfort is -0.3, and the upper limit threshold of comfort is 0.3. Or, the lower limit threshold of comfort is -0.5, and the upper limit threshold of comfort is 0.5. In addition, when the output of the SPMV model is higher than the upper limit threshold of comfort, it indicates that the user has a sense of heat. The greater the difference between the output of the SPMV model and the upper limit threshold of comfort, the stronger the user's sense of heat. When the output of the SPMV model is lower than the lower limit threshold of comfort, it indicates that the user has a sense of cold. The greater the absolute value of the difference between the output of the SPMV model and the lower limit threshold of comfort, the stronger the user's sense of cold.

[0081] In the third mode, the reduction ratio of the average heart rate of the user in each sleep stage and the wake-up period before entering the sleep stage can also be determined in the following manner:

[0082] f = C i · (t-26) + f (26)

[0083] Wherein, f is the reduction ratio of the average heart rate of the user in each sleep stage and the wake-up period before entering the sleep stage, Ci is the third proportional coefficient, and its value is associated with the sleep cycle. When the sleep cycle is the first sleep cycle, C1 = -0.0086. When the sleep cycle is the second sleep cycle, C2 = -0.0203. t is the indoor temperature, which can be detected by the temperature sensor associated with the air conditioner or obtained by collecting weather information through the terminal device associated with the air conditioner.

[0084] With the scheme, the average basal metabolic rate of the user in the wake period before entering the sleep stage, the average heart rate of the user in each sleep stage, the reduction ratio of the wake period before entering the sleep stage, and the second correction quantity for correcting the metabolic rate model are used to determine the human metabolic rate in the sleep state more accurately.

[0085] Optionally, the air conditioner determines the human metabolic rate in the sleep state according to the average basal metabolic rate of the user in the wake period before entering the sleep stage, the average heart rate of the user in each sleep stage, the reduction ratio of the wake period before entering the sleep stage, and the second correction quantity for correcting the metabolic rate model, and the method comprises the following steps of:

[0086] M = M B · [1 - c(t) · f]

[0087] wherein M is the human metabolic rate in the sleep state, M B is the average basal metabolic rate of the user in the wake period before entering the sleep stage, c(t) is the second correction quantity, and f is the reduction ratio of the average heart rate of the user in each sleep stage and the wake period before entering the sleep stage.

[0088] In the embodiment, it can be known from the above description that f = C i · (t - 26) + f(26). Therefore, it can also be deduced that the human metabolic rate in the sleep state is M = M B · {1 - c(t) · [(t - 26) · C i + f(26)]}. It should be noted that the foregoing formula is not applicable to the calculation of the metabolic rate in the wake period of the second sleep cycle and is not applicable to the calculation of the metabolic rate in an extremely low-temperature or extremely high-temperature environment. With the scheme, the average basal metabolic rate of the user in the wake period before entering the sleep stage, the average heart rate of the user in each sleep stage, the reduction ratio of the wake period before entering the sleep stage, and the second correction quantity for correcting the metabolic rate model are used to determine the human metabolic rate in the sleep state more accurately.

[0089] Optionally, the second correction quantity can be determined in the following manner:

[0090] C(t) = kt - z

[0091] wherein C(t) is the second correction quantity, k is a second proportional coefficient, t is the indoor temperature, and z is a second correction constant.

[0092] In the scheme, a plurality of experimental data can be fitted to obtain a calculation formula of the fitted second correction quantity. Here, the calculation formula of the fitted second correction quantity has good linear correlation. As an example, when the goodness of fit R 2 is 0.99, the second proportional coefficient k is 0.425, and the second correction constant z is 9.9283. That is, the calculation formula of the second correction quantity is C(t) = 0.425t - 9.9283. As can be seen, the second correction quantity is closely related to the change of the indoor temperature. With this scheme, a more accurate second correction quantity can be obtained, providing an accurate data basis for the construction process of the human metabolic rate model.

[0093] Further, in order to obtain a SPMV model that can more accurately represent the thermal comfort of the user in the night sleep state, a first correction quantity for correcting the PMV model also needs to be calculated. Here, the first correction quantity is a temperature correction quantity, and the air conditioner can correct the fluctuation of the PMV model caused by the change of the environmental temperature through the first correction quantity.

[0094] Optionally, the air conditioner calculates the first correction quantity for correcting the PMV model, comprising:

[0095] b(t) = at - c

[0096] wherein b(t) is the first correction quantity, a is a first proportional coefficient, t is the indoor temperature, and c is a first correction constant.

[0097] In the scheme, a plurality of experimental data can be fitted to obtain a calculation formula of the fitted first correction quantity. Here, the calculation formula of the fitted first correction quantity has good linear correlation. As an example, when the goodness of fit R 2 is 0.88, the first proportional coefficient a is 0.2294, and the first correction constant c is 6.4026. That is, the calculation formula of the first correction quantity is b(t) = 0.2294t - 6.4026. As can be seen, the first correction quantity is closely related to the change of the indoor temperature. With this scheme, a more accurate first correction quantity can be obtained, providing an accurate data basis for the construction process of the SPMV model.

[0098] With this scheme, after the air conditioner calculates the first correction quantity for correcting the PMV model, the SPMV model that can more accurately represent the thermal comfort of the user in the night sleep state can be constructed in combination with the PMV model and the first correction quantity.

[0099] Optionally, S41, the air conditioner constructs the SPMV model according to the PMV model and the first correction quantity, comprising:

[0100] SPMV = PMV + b(t)

[0101] wherein b(t) is the first correction amount.

[0102] In the scheme, the air conditioner can combine the PMV model and the first correction amount to construct the SPMV model. The first correction amount is a temperature correction amount, and is used to correct fluctuations in the PMV model caused by changes in the ambient temperature. The SPMV model includes:

[0103]

[0104] wherein M, I cl , W represent metabolic rate, clothing thermal insulation and external mechanical work, and the external mechanical work is 0. t a , v, H, tr represent ambient temperature, air speed, relative humidity and mean radiant temperature, and the mean radiant temperature tr is equal to the ambient temperature t a in value. P a , f cl , h c , t cl represent water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient and clothing outer surface temperature.

[0105] Using the above SPMV model, the human body parameter factors, environmental factors and other related factors can be comprehensively considered to more accurately construct a thermal comfort model associated with the user's sleep. Compared with the PMV used in the related art, the actual comfort level of the user in the sleep state can be accurately reflected. The human body parameter factors include metabolic rate, clothing thermal insulation and external mechanical work. The environmental factors include ambient temperature, air speed, relative humidity and mean radiant temperature. The other related factors include water vapor partial pressure, clothing surface coefficient, convective heat transfer coefficient and clothing outer surface temperature.

[0106] Optionally, the embodiments of the present disclosure provide a method for controlling an air conditioner, comprising:

[0107] The air conditioner obtains the current sleep state of the user associated with the air conditioner in the sleep stage. The air conditioner obtains the current comfort value of the SPMV model associated with the user. The current comfort value is determined by the output quantity of the SPMV model. If the current comfort value does not match the preset comfort value, the air conditioner executes an environment control strategy corresponding to the current sleep state according to the current sleep state, so that the adjusted current comfort value matches the preset comfort value.

[0108] In the scheme, the air conditioner can obtain the current sleep state of the user in the sleep stage through the sleep monitoring device in communication connection with the air conditioner. As an example, the sleep monitoring device is a sleep pillow, which detects the motion intensity of the user in the sleep stage and determines the current sleep state of the user according to the motion intensity. As an example, the sleep monitoring device is a smart watch, which is worn on the wrist of the user. The smart watch is configured with a gyroscope sensor for detecting the motion amplitude and frequency of the wrist and a heart rate sensor for detecting the heart rate value of the user. The smart watch obtains the motion amplitude and frequency of the wrist and the heart rate value and analyzes and processes them to generate the current sleep state of the user. The manner in which the air conditioner obtains the current sleep state of the user in the sleep stage is not specifically limited by the embodiments of the present disclosure.

[0109] Further, the air conditioner obtains the current comfort value of the SPMV model associated with the user in the following manner: obtaining the physical parameter of the user and the environmental parameter of the environment where the user is located. The physical parameter and the environmental parameter are input into the SPMV model to obtain the SPMV model output, and the SPMV model output is taken as the current comfort value of the user. The physical parameter includes metabolic rate and clothing thermal resistance. The environmental parameter includes environmental temperature, wind speed and relative humidity. It can be understood that after the air conditioner adjusts one or more of the environmental temperature, the wind speed and / or the relative humidity, the updated environmental parameter can be input into the SPMV model to update the comfort value of the user.

[0110] By using the method for controlling the air conditioner provided by the embodiments of the present disclosure, the current comfort value of the user can be accurately obtained through the SPMV model output, and when the current comfort value does not match the preset comfort value, the environmental control strategy corresponding to the current sleep state is executed, so that the SPMV model output obtained after the regulation can match the preset comfort value, and the air conditioner can dynamically regulate the environment according to the comfort requirement of the user in the sleep stage. The method improves the accuracy of the comfort judgment of the user in the sleep stage and meets the comfort requirement of the user.

[0111] Optionally, the air conditioner executes the environmental control strategy corresponding to the current sleep state according to the current sleep state, including:

[0112] When the current sleep state indicates that the user is falling asleep, the air conditioner obtains the sleep migration state of the user and the sleep period associated with the current sleep state, and adjusts the temperature and humidity value and / or the wind speed of the environment associated with the user according to the sleep migration state and the sleep period.

[0113] In the embodiment, the sleep transition state indicates that the user switches between sleep stages in a sleep period. The sleep period indicates a sleep cycle in which the user sleeps. A complete sleep cycle is composed of a wake stage, a light sleep stage, a deep sleep stage, and a rapid eye movement stage in chronological order. The durations of the wake stage, the light sleep stage, the deep sleep stage, and the rapid eye movement stage are different in different sleep cycles. The wake stage, the light sleep stage, the deep sleep stage, and the rapid eye movement stage represent different sleep stages. In this way, the method obtains the sleep transition state of the user in the sleep stage and the sleep period in real time, and adjusts the temperature and humidity values and / or the wind speed of the environment in which the user is located according to the sleep transition state and the sleep period, so that the SPMV model output quantity obtained after the adjustment is located in the preset range, thereby meeting the comfort requirement of the user in the sleep stage.

[0114] Optionally, the air conditioner adjusts the temperature and humidity values and / or the wind speed of the environment in which the user is located according to the sleep transition state and the sleep period when the current comfort value is greater than the upper comfort threshold, and the adjustment includes:

[0115] The air conditioner increases the wind speed of the fan when the sleep transition state indicates sleep switching and the sleep period indicates that the user is in a first sleep cycle. The air conditioner decreases the temperature value of the environment and controls the fan to decrease the wind speed when the sleep period indicates that the user is in a second sleep cycle and the sleep transition state indicates that the user is continuously in a current sleep stage.

[0116] In this way, when it is determined that the user is in a first sleep cycle and the user switches between sleep stages, it is indicated that the user has entered a sleep stage. It is known through a large number of experiments that, compared with adjusting the temperature and humidity values of the environment, adjusting the wind speed can make the updated SPMV model output quantity decrease more quickly. Therefore, the air conditioner controls the fan to increase the wind speed when the user has entered a sleep stage, so as to quickly adjust the SPMV model output quantity. When it is determined that the user is continuously in a current sleep stage and the user is in a second sleep cycle, it is indicated that the user sleeps stably and the body temperature of the user decreases slightly. In order to reduce the noise generated by the operation of the fan and the interference of the noise on the sleep of the user, the air conditioner controls the fan to decrease the wind speed. At the same time, in order to keep the SPMV model output quantity in the preset range, the air conditioner adjusts the temperature of the environment.

[0117] Optionally, the air conditioner controls the fan to increase the wind speed by controlling the fan to increase from an initial wind speed at a first preset change rate. The air conditioner controls the fan to decrease the wind speed by controlling the fan to decrease the wind speed at a second preset change rate until the initial wind speed is reached. The first preset change rate is greater than or equal to 0.3 m / s and less than or equal to 0.5 m / s. The second preset change rate is greater than or equal to 0.3 m / s and less than or equal to 0.5 m / s.

[0118] In this way, the fan generates noise during operation, especially in the case of high fan speed. In order to reduce the influence of fan noise on user sleep, the air conditioner can set a preset fan speed range of the fan speed. At the same time, during the control of the fan to increase and decrease the fan speed, if the speed is increased or decreased too fast, it will affect the user's sleep. Therefore, a first preset change rate can be set to slowly increase or decrease the fan speed. The aforementioned preset fan speed range is [0.1, 1.2] m / s.

[0119] Optionally, in the case that the current comfort value is less than the comfort lower threshold, the air conditioner adjusts the temperature and humidity value and / or the fan speed of the environment associated with the user according to the sleep migration state and the sleep period, including:

[0120] In the case that the sleep migration state indicates sleep switching and the sleep period indicates being in the first sleep cycle, the air conditioner controls the fan to decrease the fan speed and keeps the temperature and humidity value of the environment. In the case that the sleep period indicates being in the second sleep cycle and the sleep migration state indicates continuously being in the current sleep stage, the air conditioner controls the fan to increase the fan speed.

[0121] In this way, when the current comfort value is less than the comfort lower threshold, it indicates that the SPMV model output is low. When it is determined that the user switches sleep and is in the second sleep cycle, the air conditioner can regulate the output by decreasing the fan speed. At the same time, the air conditioner keeps the temperature and humidity value of the environment unchanged. When it is determined that the user is in the second sleep cycle and continuously in the current sleep stage, in order to reduce the SPMV model output from the comfort lower threshold to the preset range, the air conditioner controls the fan to increase the fan speed.

[0122] Optionally, in the case that the current comfort value is less than the comfort lower threshold, the air conditioner adjusts the temperature and humidity value and / or the fan speed of the environment associated with the user according to the sleep migration state and the sleep period, including:

[0123] In the case that the sleep migration state indicates sleep switching and the sleep period indicates being in the first sleep cycle, the air conditioner controls the fan to decrease the fan speed and keeps the temperature and humidity value of the environment. In the case that the sleep period indicates being in the second sleep cycle and the sleep migration state indicates continuously being in the current sleep stage, the air conditioner controls the fan to increase the fan speed. The air conditioner reacquires a new current comfort value. In the case that the new current comfort value is greater than the comfort upper threshold, the air conditioner controls the temperature of the environment to decrease by a first preset temperature change amount. In the case that the new current comfort value is less than the comfort lower threshold, the air conditioner controls the temperature of the environment to increase by a second preset temperature change amount and controls the relative humidity of the environment to be within a preset relative humidity range. The preset relative humidity range is [50%RH, 65%RH].

[0124] Therefore, it is found through experiments that, under the condition that the wind speed and the relative humidity remain unchanged, the change in the output of the SPMV model is positively correlated with the change in the temperature. Specifically, when the temperature increases by 1℃, the output of the SPMV model increases by about 0.5-0.6. When the temperature decreases by 1℃, the output of the SPMV model decreases by about 0.5-0.6. Based on the above experimental data, when the current comfort value is greater than the upper comfort threshold, the air conditioner controls the temperature of the environment to decrease by the first preset temperature change, so that the output of the SPMV model decreases slightly. When the current comfort value is less than the lower comfort threshold, the air conditioner controls the temperature of the environment to increase by the second preset temperature change, and controls the relative humidity of the environment to be within the preset relative humidity range, so as to regulate the output of the SPMV model and make the regulated relative humidity meet the comfort requirement of the user.

[0125] Optionally, the embodiment of the present disclosure further provides a method for controlling an air conditioner, comprising:

[0126] The air conditioner obtains the current sleep state of the user associated with the air conditioner in a sleep stage. The air conditioner obtains the current comfort value of the SPMV model associated with the user. The air conditioner obtains the priority of the environment parameters of the user associated with the air conditioner in the case that the current comfort value does not match the preset comfort value, the environment parameters including the wind speed, the relative humidity and the temperature, so as to regulate the environment of the user according to the priority of the environment parameters.

[0127] In the embodiment, since there are many factors affecting the output of the SPMV model, in order to consider the regulation efficiency and energy consumption of the air conditioner, the air conditioner can preset the priority of the environment parameters. As an example, the priority from high to low is the wind speed, the relative humidity and the temperature. As another example, the priority from high to low is the wind speed, the temperature and the relative humidity. It can be understood that, since adjusting the wind speed has a higher change in the output of the SPMV model than adjusting the temperature and humidity, and the increase and decrease of the temperature and the relative humidity need time, the wind speed is determined as the highest priority. The air conditioner executes the environment control strategy corresponding to the current sleep state according to the current sleep state, so that the adjusted current comfort value matches the preset comfort value.

[0128] The method for controlling the air conditioner provided by the embodiment of the present disclosure can effectively improve the accuracy of the comfort degree judgment of the user's sleep stage, improve the environmental regulation efficiency of the air conditioner, and reduce energy consumption. It can be understood that the three types of environmental parameters are wind speed, temperature, and relative humidity. If only one of the environmental parameters is regulated in the actual regulation process of the air conditioner, the output of the SPMV model cannot fall within the preset comfort degree range, and the other two environmental parameters or any one of the other two environmental parameters can be regulated to regulate the output of the SPMV model. Specifically, a large wind speed will affect the user's sleep, and therefore, the preset wind speed range is set to 0.1 m / s to 1.2 m / s. If the relative humidity is too high or too low, the user will feel uncomfortable, and therefore, the preset relative humidity range is set to 40% to 70%.

[0129] In actual application, the air conditioner is in communication connection with the sleep pillow, and the sleep pillow transmits the current sleep state of the user to the air conditioner in real time. The initial wind speed of the fan is 0.1 m / s. The first preset change rate is 0.3 m / s. The lower limit threshold of the comfort degree and the upper limit threshold of the comfort degree are -0.3 and 0.3, respectively. The method for controlling the air conditioner is as follows:

[0130] The air conditioner obtains the current environmental parameters and inputs them into the SPMV model, and the output of the SPMV model is 0.4. Therefore, it is determined that the current comfort degree value is greater than the upper limit threshold of the comfort degree. The air conditioner receives the sleep signal sent by the sleep pillow, and the sleep signal carries the sleep migration state and the current sleep period of the user. The sleep migration state is to perform sleep switching, and the current sleep period is the first sleep period. The air conditioner increases the wind speed value by 0.4 m / s at the first preset change rate on the basis of the initial wind speed and continues to operate at the wind speed for 5 minutes. Moreover, the air conditioner keeps the environmental temperature and humidity unchanged. The air conditioner receives the new sleep signal sent by the sleep pillow again, and the new sleep migration state is not migrated, and the new sleep period is the second sleep period. Since the change amount of the output of the SPMV model is positively correlated with the change amount of the environmental temperature, the air conditioner reduces the temperature value ΔT of the environment and controls the fan to reduce the wind speed to the initial wind speed. The air conditioner re-obtains the output of the SPMV model as 0.18. Therefore, it is determined that the current environmental parameters meet the comfort degree demand of the user.

[0131] Figure 5 is a schematic diagram of a device for correcting a thermal comfort model provided by the embodiment of the present disclosure; in combination with Figure 5 The device for correcting a thermal comfort model provided by the embodiment of the present disclosure includes an obtaining module 51, a determining module 52, and a correcting module 53. The obtaining module 51 is configured to obtain the environmental perception information fed back by the user. The determining module 52 is configured to determine a third correction amount for correcting the SPMV model according to the environmental perception information. The correcting module 53 is configured to correct the SPMV model according to the third correction amount for correcting the SPMV model.

[0132] The device for correcting the thermal comfort model provided by the embodiment of the present disclosure is used to obtain the environmental perception information of the user feedback; determine the third correction amount for correcting the SPMV model according to the environmental perception information; and correct the SPMV model according to the third correction amount for correcting the SPMV model. With this scheme, by determining the third correction amount for correcting the SPMV model and correcting the SPMV model in combination with the third correction amount, a thermal comfort model with higher precision can be obtained in combination with the actual environmental needs of the user, so that the corrected thermal comfort model is more in line with the actual change rule of the thermal comfort of the user, thereby improving the accuracy of the thermal comfort judgment of the user in the sleep stage and meeting the needs of the user for thermal comfort.

[0133] Figure 6 is another device for correcting the thermal comfort model provided by the embodiment of the present disclosure; in combination with Figure 6 The device for correcting the thermal comfort model provided by the embodiment of the present disclosure is used to obtain the environmental perception information of the user feedback; determine the third correction amount for correcting the SPMV model according to the environmental perception information; and correct the SPMV model according to the third correction amount for correcting the SPMV model. With this scheme, by determining the third correction amount for correcting the SPMV model and correcting the SPMV model in combination with the third correction amount, a thermal comfort model with higher precision can be obtained in combination with the actual environmental needs of the user, so that the corrected thermal comfort model is more in line with the actual change rule of the thermal comfort of the user, thereby improving the accuracy of the thermal comfort judgment of the user in the sleep stage and meeting the needs of the user for thermal comfort.

[0134] In addition, the logic instructions in the memory 101 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium.

[0135] The memory 101 is a computer readable storage medium, which can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 100 executes the program instructions / modules stored in the memory 101, thereby performing function applications and data processing, that is, implementing the method for correcting the thermal comfort model in the above embodiment.

[0136] The memory 101 can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data created according to the use of the terminal device, etc. In addition, the memory 101 can include a high-speed random access memory and can also include a non-volatile memory.

[0137] The embodiment of the present disclosure provides an air conditioner, comprising the device for correcting the thermal comfort model.

[0138] The embodiment of the present disclosure provides a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are configured to execute the method for correcting the thermal comfort model.

[0139] The embodiment of the present disclosure provides a computer program product, which comprises a computer program stored on a computer readable storage medium, and the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer executes the method for correcting the thermal comfort model.

[0140] The computer readable storage medium described above can be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

[0141] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium can be a non-transitory storage medium, including a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes, or can be a transitory storage medium.

[0142] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0143] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0144] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to apparatuses, devices, etc.), can be implemented in other manners. For example, the described apparatus embodiments can be implemented only in a form of a logical function, and can be implemented by using a manner such as software (for example, application program) or the like. In some embodiments, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or indirect coupling between different units, or the coupling or direct coupling or indirect coupling between the displayed or discussed communication connections can be in a form of electrical, mechanical or other forms.

[0145] The flowcharts and block diagrams in the drawings show the possible implementation architectures, functions and operations of the system, method and computer program product according to the embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks can occur in an order different from that noted in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the drawings, the operations or steps corresponding to different blocks can also occur in an order different from that disclosed in the descriptions, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. Each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for correcting a thermal comfort model, characterized in that, The method comprises: obtaining environmental feeling information of user feedback; determining a third correction amount for correcting an SPMV model according to a temperature correction amount for correcting an environmental temperature determined according to the environmental feeling information; correcting the SPMV model according to the third correction amount for correcting the SPMV model, wherein the corrected SPMV model is a sum of the SPMV model and the third correction amount, and the SPMV model is a sum of the PMV model and the first correction amount; determining the first correction amount by the following formula: wherein b(t) is the first correction amount, a is a first proportional coefficient, t is an indoor temperature, and c is a first constant; the environmental feeling information comprises a respective marked time period corresponding to each environmental feeling; and the correcting the SPMV model comprises: extracting a marked time period in which the user has an environmental demand from the environmental feeling information; determining a target sleep stage to which the marked time period belongs; correcting an SPMV model of the target sleep stage.

2. The method of claim 1, wherein, The environmental feeling information comprises environmental feelings of the user.

3. The method of claim 2, wherein, The determining the third correction amount for correcting the SPMV model according to the temperature correction amount for correcting the environmental temperature comprises: determining, according to a preset correspondence relationship, a third correction amount corresponding to the temperature correction amount for correcting the environmental temperature as the third correction amount for correcting the SPMV model.

4. The method of claim 1, wherein, The PMV model comprises: where M is the metabolic rate, I cl is the thermal resistance of the clothing, W is the mechanical work done on the body, t a is the ambient temperature, v is the wind speed, H is the relative humidity, tr is the mean radiant temperature, P a is the water vapour pressure, f cl is the surface area of the clothing, h c is the convective heat transfer coefficient, t cl is the temperature of the outer surface of the clothing.

5. The method of claim 4, wherein, a water vapor partial pressure determined according to an environmental temperature and a relative humidity.

6. An apparatus for correcting a thermal comfort model, comprising a processor and a memory having stored therein program instructions, the apparatus characterized by: The processor is configured to execute the method for correcting a thermal comfort model according to any one of claims 1 to 5 when the program instructions are executed.

7. A storage medium storing program instructions, characterized in that, The program instructions are configured to execute the method for correcting a thermal comfort model according to any one of claims 1 to 5 when executed.

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