Method and device for constructing thermal comfort model and computer readable storage medium

Abstract

The invention relates to the technical field of model construction, and discloses a method for constructing a thermal comfort model, and the method comprises the steps: obtaining a child sleep heat production value and a child sleep heat dissipation value; determining a target correction value according to the child sleep heat production value and the child sleep heat dissipation value; and according to the child sleep calorific value and the target correction value, constructing a PMV model. According to the method, the target correction value can be accurately determined in combination with the child sleep heat production value and the child sleep heat dissipation value, then the PMV model is accurately constructed in combination with the child sleep heat production value and the target correction value, the defect that an existing PMV model cannot represent the actual thermal comfort degree condition of the child is overcome, the thermal comfort degree of the child can be more accurately judged, and the user experience is improved. And an accurate data basis is provided for children to use the air conditioner. The life quality of children is improved, and the children can grow healthily in a comfortable environment. The invention further discloses a device for constructing the thermal comfort model and a computer readable storage medium.

Description

Technical Field

[0001] This application relates to the field of model building technology, such as a method, apparatus, and computer-readable storage medium for building thermal comfort models. Background Technology

[0002] As people's living standards continue to improve, smart home appliances are gradually becoming a part of users' lives. Currently, with users' increasing demand for thermal comfort in their environment, air conditioners have become an indispensable smart home appliance for every family.

[0003] Currently, in order to meet the thermal comfort needs of different users, a PMV (Predicted Mean Vote) model is usually pre-stored in the air conditioner. By inputting environmental parameters and user physiological parameters into the PMV model, the thermal comfort value output by the PMV model is obtained. Then, based on the thermal comfort value output by the PMV model, the air conditioner is controlled to execute the corresponding operating mode to meet the user's thermal comfort needs.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art:

[0005] The PMV model in related technologies is based on the user's vital signs and environmental parameters. This model cannot accurately reflect the actual thermal comfort of children.

[0006] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0007] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0008] This disclosure provides a method, apparatus, and computer-readable storage medium for constructing a thermal comfort model, so as to construct a thermal comfort model that can accurately reflect the actual thermal comfort situation of children.

[0009] In some embodiments, the method for constructing a thermal comfort model includes: obtaining the heat production value and heat dissipation value of children during sleep; determining a target correction value based on the heat production value and heat dissipation value of children during sleep; and constructing a PMV model based on the heat production value and the target correction value of children during sleep.

[0010] In some embodiments, determining the target correction value based on the child's sleep heat production value and the child's sleep heat dissipation value includes: TL = MIN(|M 产 -M 散 |); where TL is the target correction value, Mproduction is the heat production value during children's sleep, and Mdissipation is the heat dissipation value during children's sleep.

[0011] In some embodiments, determining the heat dissipation value of a child during sleep by means of: acquiring the thermal resistance of bedding, the child's skin surface area, skin metabolic temperature, and environmental parameters; determining the heat dissipation value of a child during sleep based on the thermal resistance of bedding, the child's skin surface area, skin metabolic temperature, and environmental parameters; wherein, the thermal resistance of bedding is determined by bedding characteristic parameters, including the wearing coefficient, thermal resistance of pajamas, thermal resistance of sleeping bags, coverage coefficient, thermal resistance of coverings, and thermal resistance of bedding; and the environmental parameters include the target ambient temperature and the partial pressure of water vapor in the air.

[0012] In some embodiments, the target ambient temperature is determined by: within the ambient temperature optimization range, gradually adjusting the ambient temperature with a set optimization step size, and recalculating the difference between the child's sleep heat production value and the child's sleep heat dissipation value after each adjustment, until the target ambient temperature with the smallest absolute value of the difference is determined.

[0013] In some embodiments, the determination of a child's skin surface area is achieved by: A D =0.008883×W b 0.444 ×H 0.663 Among them, A D For children's skin surface area, W b H represents the child's weight, and H represents the child's height.

[0014] In some embodiments, calculating the thermic value of a child's sleep includes: obtaining the user's sleep duration and the adult standard sleep metabolic rate curve; matching the standard metabolic rate to the adult standard sleep metabolic rate curve based on the user's sleep duration; determining the child's initial metabolic rate based on the child's age; and determining the child's thermic value of sleep based on the standard metabolic rate and the child's initial metabolic rate.

[0015] In some embodiments, constructing a PMV model based on the child's sleep heat production value and a target correction value includes: determining an initial child sleep comfort model based on the child's sleep heat production value; and correcting the initial child sleep comfort model based on the target correction value to obtain the PMV model.

[0016] In some embodiments, the step of correcting the initial child sleep comfort model according to the target correction value to obtain the PMV model includes: PMV = [0.303exp(-0.036×M] / [[ ... 产[(M) + 0.0275] × TL; where M 产 The value represents the thermic value during children's sleep, and TL is the target correction value.

[0017] In some embodiments, the apparatus for constructing a thermal comfort model includes a processor and a memory storing program instructions, the processor being configured to execute the aforementioned method for constructing a thermal comfort model when the program instructions are executed.

[0018] In some embodiments, the computer-readable storage medium stores program instructions that, when executed, cause the computer to perform the aforementioned method for constructing a thermal comfort model.

[0019] The method, apparatus, and computer-readable storage medium for constructing a thermal comfort model provided in this disclosure can achieve the following technical effects: It can accurately determine a target correction value by combining the heat production and heat dissipation values ​​during children's sleep, and then accurately construct a PMV model by combining the heat production value during children's sleep and the target correction value. This solves the drawback of existing PMV models that cannot characterize the actual thermal comfort of children, making it easier to more accurately judge children's thermal comfort and providing an accurate data foundation for children's use of air conditioners. This not only improves children's quality of life but also ensures that children grow up healthily in a comfortable environment.

[0020] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0021] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0022] Figure 1 This is a schematic diagram of a method for constructing a PMV model provided in an embodiment of this disclosure;

[0023] Figure 2 This is a schematic diagram of a method for determining the heat dissipation value of a child during sleep, provided in an embodiment of this disclosure;

[0024] Figure 3 This is a schematic diagram of a bedding covering form provided in an embodiment of this disclosure;

[0025] Figure 4 This is a standard adult sleep metabolic rate curve provided in an embodiment of the present disclosure;

[0026] Figure 5 This is a sleep temperature curve provided in an embodiment of the present disclosure;

[0027] Figure 6 This is a schematic diagram of an apparatus for constructing a PMV model provided in an embodiment of this disclosure. Detailed Implementation

[0028] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0029] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0030] Unless otherwise stated, the term "multiple" means two or more.

[0031] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0032] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0033] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0034] Figure 1 This is a schematic diagram of a method for constructing a PMV model provided in an embodiment of this disclosure; combined with Figure 1 As shown in the embodiments of this disclosure, a method for constructing a PMV model includes:

[0035] S11, the air conditioner obtains the heat generation value and heat dissipation value during children's sleep.

[0036] S12, the air conditioner determines the target correction value based on the heat generation value and heat dissipation value during the child's sleep.

[0037] S13, the air conditioner constructs a PMV model based on the heat production value during children's sleep and the target correction value.

[0038] In this study, the heat production value during sleep refers to the heat generated by a child during sleep due to physiological processes such as cellular activity and metabolism. The heat loss value during sleep refers to the heat lost by a child to the environment through the skin, respiration, and other means during sleep.

[0039] Specifically, the air conditioner can determine the child's sleep heat production value in the following way: The air conditioner acquires the user's sleep duration and the adult standard sleep metabolic rate curve. The air conditioner matches the user's sleep duration to the standard metabolic rate from the adult standard sleep metabolic rate curve. The air conditioner determines the child's initial metabolic rate based on their age. The air conditioner determines the child's sleep heat production value based on the standard metabolic rate and the child's initial metabolic rate. This method enables the determination of personalized heat production values ​​based on sleep duration and the child's age, achieving accurate determination of the child's sleep heat production value.

[0040] On the other hand, air conditioners can also determine the heat dissipation value for children during sleep by acquiring the thermal resistance of bedding, the child's skin surface area, skin metabolic temperature, and relevant environmental parameters. The air conditioner determines the heat dissipation value based on these parameters. The thermal resistance of the bedding is determined using characteristic parameters, including the wearing coefficient, thermal resistance of pajamas, thermal resistance of sleeping bags, coverage coefficient, thermal resistance of coverings, and thermal resistance of bedding. Relevant environmental parameters include the target ambient temperature and the partial pressure of water vapor in the air. This method enables accurate determination of the heat dissipation value for children during sleep.

[0041] Furthermore, after the air conditioner obtains the child's heat production and heat dissipation values ​​during sleep, a target correction value can be determined by combining these values. Here, the air conditioner determines the target correction value based on the child's heat production and heat dissipation values ​​by calculating the difference between them and taking the minimum absolute value of the difference as the target correction value. This approach enables accurate determination of the target correction value.

[0042] Furthermore, the air conditioner can construct a PMV model based on the child's sleep heat production value and a target correction value. Specifically, the air conditioner constructs a PMV model based on the child's sleep heat production value and a target correction value, including: determining an initial child sleep comfort model based on the child's sleep heat production value; and correcting the initial child sleep comfort model based on the target correction value to obtain the PMV model. Here, the initial child sleep comfort model includes the PMV... 初始 =0.303exp(-0.036×M) 产+0.0275. With this approach, when the initial child sleep comfort model is insufficient to accurately reflect the child's thermal comfort, the difference between the child's sleep heat production value and the child's sleep heat dissipation value can be introduced as a correction value. This can more intuitively and accurately reflect the child's actual heat exchange, help to more accurately predict the child's thermal comfort, and improve the accuracy of the PMV model prediction.

[0043] The method for constructing a PMV model provided in this disclosure can accurately determine the target correction value by combining the heat production and heat dissipation values ​​during children's sleep. Furthermore, by combining the heat production value during children's sleep with the target correction value, a precise PMV model can be constructed. This overcomes the shortcomings of existing PMV models that cannot accurately represent children's actual thermal comfort, facilitating a more accurate assessment of children's thermal comfort and providing a reliable data foundation for children's use of air conditioners. This not only improves children's quality of life but also ensures their healthy growth in a comfortable environment.

[0044] Optionally, S12, the air conditioner determines a target correction value based on the child's sleep heat production value and the child's sleep heat dissipation value, including:

[0045] TL = MIN(|M 产 -M 散 |)

[0046] In this scheme, TL represents the target correction value, and M... 产 M is the caloric value generated during children's sleep. 散 The target correction value for children's heat dissipation during sleep is determined by considering the balance between heat production and heat dissipation of a sleeping child under different ambient temperatures. If the heat production and heat dissipation of a sleeping child tend to be equal, it indicates that the child is approaching thermal equilibrium. Therefore, this study uses minimizing the difference between heat production and heat dissipation as the benchmark for setting the target correction value. This approach allows for the accurate determination of the target correction value.

[0047] Figure 2 This is a schematic diagram of a method for determining the heat dissipation value of a child during sleep, provided in an embodiment of this disclosure; combined with Figure 2 As shown, optionally, the heat dissipation value of a child during sleep can be determined by the following methods:

[0048] S21, the air conditioner obtains thermal resistance of bedding, surface area of ​​children's skin, skin metabolic temperature and other environmental parameters.

[0049] S22, the air conditioner determines the heat dissipation value for children during sleep based on the thermal resistance of bedding, the surface area of ​​children's skin, skin metabolic temperature, and environmental parameters.

[0050] The thermal resistance of bedding is determined through characteristic parameters, including the wear coefficient, thermal resistance of pajamas, thermal resistance of sleeping bags, coverage coefficient, thermal resistance of coverings, and thermal resistance of bedding. Environmental parameters include the target ambient temperature and the partial pressure of water vapor in the air.

[0051] In this solution, the thermal resistance of the bedding can be calculated in the following way:

[0052] R T =P w ×(I sleepwear +I sleepbag )+P c ×I cover +I sheet

[0053] Among them, R T For the thermal resistance of bedding, P w I is the wearing factor. sleepwear For the thermal resistance of pajamas, I sleepbag For the thermal resistance of the sleeping bag, P c I is the coverage factor. cover For the thermal resistance of the covering, I sheet The thermal resistance of the bedding is determined. Thus, by determining the thermal resistance of the pajamas, sleeping bag, coverings, and bedding during a child's sleep, embodiments of this disclosure can accurately calculate the overall thermal resistance of the bedding, facilitating the assessment of the child's actual heat dissipation capacity during sleep.

[0054] Optionally, the air conditioner obtains the thermal resistance of the pajamas in the following manner: In the case of thin pajamas, the air conditioner determines the thermal resistance I of the pajamas. sleepwear =0.3clo; or, in the case of pajamas that are mid-length pajamas, the air conditioner determines the thermal resistance I of the pajamas. sleepwear =0.5clo; or, in the case of thick pajamas, the air conditioner determines the thermal resistance I of the pajamas. sleepwear =1clo. This allows us to determine the thermal resistance of pajamas during a child's sleep by considering the type of pajamas. Specifically, thin pajamas include single-layer short-sleeved and short-legged pajamas, medium-thick pajamas include single-layer long-sleeved and long-legged pajamas, and thick pajamas include multi-layered or quilted long-sleeved and long-legged pajamas. The greater the thickness of the pajamas, the greater their thermal resistance.

[0055] Optionally, the air conditioner obtains the sleeping bag's thermal resistance in the following manner: In the absence of a sleeping bag, the air conditioner determines the sleeping bag's thermal resistance I. sleepbag =0clo; or, in the case of a thin sleeping bag, the air conditioner determines the sleeping bag's thermal resistance I. sleepbag =0.5clo; or, in the case of a thick sleeping bag, the air conditioner determines the sleeping bag's thermal resistance I. sleepbag=1 clo. Considering that younger children are prone to kicking off their blankets and getting cold during sleep, parents usually dress these children in sleeping bags before bedtime to ensure their comfort. Therefore, the thermal resistance of the sleeping bag during a child's sleep can be determined based on its type. Specifically, thin sleeping bags include single-layer sleeping bags, while thick sleeping bags include multi-layer or quilted sleeping bags. The greater the thickness of the sleeping bag, the greater its thermal resistance.

[0056] Optionally, the air conditioner obtains the thermal resistance of the matting material in the following manner: when the matting material is a cooling mat, the air conditioner determines the thermal resistance I of the matting material. sheet = -0.5clo; or, if the bedding is a sheet, the air conditioner determines the thermal resistance I of the bedding. sheet =0clo; or, if the bedding is a blanket, the air conditioner determines the thermal resistance I of the bedding. sheet =0.5clo. This allows us to determine the thermal resistance of bedding during a child's sleep by considering the type of bedding. The warmer the material corresponding to the bedding type, the greater its thermal resistance.

[0057] Optionally, the air conditioner obtains the thermal resistance of the covering in the following manner: In the absence of a covering, the air conditioner determines the thermal resistance I of the covering. cover =0clo; or, if the covering is a towel, the air conditioner determines the thermal resistance I of the covering. cover =2clo; or, if the covering is a summer blanket, the air conditioner determines the thermal resistance I of the covering. cover =2.5clo; or, if the covering is a spring / autumn quilt, the air conditioner determines the thermal resistance I of the covering. cover =2.8clo; or, if the covering is a winter blanket, the air conditioner determines the thermal resistance I of the covering. cover =3.3clo. This allows us to determine the thermal resistance of blankets during a child's sleep by considering the type of blanket. The warmer the material corresponding to the blanket type, the greater its thermal resistance.

[0058] Optionally, the air conditioner obtains the clothing factor and coverage factor in the following manner: In the absence of any covering, the air conditioner determines the clothing factor P. w =1, and determine the coverage factor P. c =0; or, in the case of coverings, the air conditioner determines the wearing factor P. w =0.5, and, based on the bedding coverage pattern, determine the coverage coefficient P. cThis allows for setting different wearing and coverage coefficients depending on whether or not a covering is present, thus improving the accuracy of bedding thermal resistance measurements. When a child is covered during sleep, the covering has a relatively greater impact on the child's insulation ability. Considering that the air layer between the covering and the child's body is compressed, resulting in some loss of thermal resistance from the pajamas and sleeping bag, a relatively small wearing coefficient can be set, along with a coverage coefficient tailored to the specific covering method. Conversely, when a child is not covered during sleep, the child's insulation ability is primarily affected by the pajamas and sleeping bag; therefore, a relatively large wearing coefficient can be set, and the coverage coefficient can be zero.

[0059] Optionally, the air conditioner determines the coverage factor P based on the type of bedding coverage. c This includes: determining the coverage factor P of the air conditioner when the bedding coverage is of the first type. c =1; or, if the bedding coverage is of the second type, the air conditioner determines the coverage factor P. c =0.6; or, if the bedding coverage is of the third type, the air conditioner determines the coverage factor P. c =0.4; or, if the bedding coverage is of type four, the air conditioner determines the coverage factor P. c =0. Among these, the skin coverage rate of the first covering type is greater than that of the second covering type, the skin coverage rate of the second covering type is greater than that of the third covering type, and the skin coverage rate of the third covering type is greater than that of the fourth covering type. Therefore, when a child is covered during sleep, an appropriate coverage coefficient can be set based on the type of bedding covering. The higher the skin coverage rate corresponding to a particular bedding covering type, the larger its corresponding coverage coefficient.

[0060] Optionally, combined Figure 3 The diagram illustrates a bedding covering configuration according to an embodiment of this disclosure. Specifically, the first covering configuration, as shown in Example (1), exposes only the child's head while sleeping. The second covering configuration, as shown in Example (2), exposes the child's head and upper limbs while sleeping. The third covering configuration, as shown in Example (3), exposes the child's head and limbs while sleeping. The fourth covering configuration, as shown in Example (4), exposes the child's entire body while sleeping.

[0061] In this plan, the skin surface area of ​​children can be calculated in the following ways:

[0062] A D =0.008883×W b 0.444 ×H 0.663

[0063] Among them, A D For children's skin surface area, Wb Let H represent the child's weight and H represent the child's height. By substituting the specific child's weight and height, this embodiment of the disclosure can accurately calculate the actual skin surface area of ​​the child, thus facilitating the assessment of the child's actual heat dissipation capacity during sleep.

[0064] Optionally, a child's weight and height can be obtained through sensor detection or by user input. This allows for quick determination of a child's weight and height, facilitating the calculation of their skin surface area.

[0065] Optionally, the air conditioner obtains the child's weight and height in the following manner: based on the child's age and gender, the air conditioner searches for the corresponding child's weight and height from a first association relationship. This ensures the reliability of the air conditioner's control when no child's weight and height are detected or pre-entered, as the first association relationship can be used to find the corresponding child's weight and height.

[0066] Optionally, the first association includes one or more correspondences between a child's age and gender, and between a child's weight and height. For example, Table 1 shows one such correspondence between a child's age and gender, and between a child's weight and height, as shown in the table below:

[0067]

[0068] Table 1

[0069] In this protocol, skin metabolic temperature can be calculated in the following ways:

[0070] t sk =35.7 - 0.0275 × M 儿童

[0071] Among them, t sk For skin metabolic temperature, M 儿童 Metabolic rate during children's sleep.

[0072] In this scheme, the partial pressure of water vapor in the air can be calculated in the following way:

[0073] Pa = Rh × e 16.7-4030.2 / (ta+235)

[0074] Where Rh is the relative humidity, t a The target ambient temperature is used. The partial pressure of water vapor in the air, P, is calculated assuming the indoor humidity is within a preset range. a At that time, the standard ambient humidity (RH) can be substituted. 标 Furthermore, the standard ambient humidity (RH) 标 =50%.

[0075] In addition, when determining the target sleep temperature curve for children, attention should be paid to the unit conversion of the thermal resistance of the bedding. Specifically, a thermal resistance unit conversion factor a1, a1 = 0.155, can be introduced. The thermal resistance unit conversion factor reflects the following relationship: 1clo = 0.155 (m 2 ·K / W).

[0076] Furthermore, after the air conditioner determines the thermal resistance of the bedding, the surface area of ​​the child's skin, the skin metabolic temperature, and other relevant environmental parameters, the air conditioner can determine the heat dissipation value for the child during sleep based on these parameters.

[0077] Specifically, the air conditioner determines the heat dissipation value for children during sleep based on the thermal resistance of bedding, the child's skin surface area, skin metabolic temperature, and relevant environmental parameters, including:

[0078]

[0079] Among them, M 散 For children's heat dissipation during sleep, R T For the thermal resistance of bedding, t sk For skin metabolic temperature, t a The target ambient temperature is Pa, where Pa is the partial pressure of water vapor in the air, and A is... D This refers to the surface area of ​​a child's skin.

[0080] In this way, taking into account the thermal conductivity of bedding, the positive correlation between children's skin surface area and heat dissipation capacity, the heat dissipation demand predicted by skin metabolic temperature, and the influence of environmental parameters on heat dissipation, the heat dissipation value of children during sleep can be accurately calculated, providing a precise data foundation for the construction of the PMV model.

[0081] Alternatively, the target ambient temperature can be calculated in the following ways:

[0082] Within the optimal range of ambient temperature, the air conditioner gradually adjusts the ambient temperature at a set optimization step size. After each adjustment, the difference between the heat production value and the heat dissipation value during the child's sleep is recalculated until the target ambient temperature with the smallest absolute value of the difference is determined.

[0083] In this solution, the optimal range and step size of the ambient temperature can be pre-stored in the air conditioner, taking into account actual conditions. As an example, the optimal range is 18℃ to 30℃. Furthermore, the optimization step size is set considering the air conditioner's accuracy and resolution. For example, 0.5℃ can be set as the optimization step size. Thus, the possible values ​​for the target ambient temperature can be determined as 18℃, 18.5℃, 19℃, 19.5℃...28.5℃, 29℃, 29.5℃, and 30℃, based on the optimal range and the set optimization step size. All possible values ​​within the optimal range can then be sequentially substituted into the formula for calculating the heat dissipation value during child sleep, and the difference between the child's heat production value and heat dissipation value during sleep can be calculated. The ambient temperature with the smallest absolute value of the difference is taken as the target ambient temperature. This solution enables accurate determination of the target ambient temperature.

[0084] Optionally, the air conditioner determines the child's heat production during sleep, including:

[0085] The air conditioner obtains the user's sleep duration and adult standard sleep metabolic rate curve.

[0086] The air conditioner matches the standard metabolic rate to the adult standard sleep metabolic rate curve based on the duration of the user's sleep.

[0087] The air conditioner determines the child's initial metabolic rate based on the child's age.

[0088] The air conditioner determines the heat production value during children's sleep based on the standard metabolic rate and the child's initial metabolic rate.

[0089] In this solution, the duration of a user's sleep can be obtained through a sleep monitoring device connected to the air conditioner. The adult standard sleep metabolic rate curve is shown below. Figure 4 As shown, Figure 4 This is a curve showing the metabolic rate change during an 8-hour sleep period for adults. The horizontal axis represents sleep duration (in hours), and the vertical axis represents the sleep metabolic rate (in meters). By determining the duration of sleep after a user falls asleep, a standard sleep metabolic rate corresponding to that duration can be matched from a standard sleep metabolic rate curve. Thus, a standard metabolic rate can be matched to the adult standard sleep metabolic rate curve based on the obtained sleep duration of the user. For example, if a user's sleep duration is 1 hour, the standard metabolic rate can be determined to be 0.7 meters in the adult standard sleep metabolic rate curve.

[0090] Furthermore, the air conditioner can determine the child's initial metabolic rate based on their age. Specifically, the initial metabolic rate of a child can be determined according to Table 2. Here, Table 2 shows the sleep metabolic rate of children of different ages. Details are as follows:

[0091] Age / years Children's initial metabolic rate / met Age / years Children's initial metabolic rate / met 3 0.9 8 0.8 4 0.9 9 0.8 5 0.85 10 0.75 6 0.85 11 0.75 7 0.8 ≥12 0.7

[0092] Table 2

[0093] For example, as shown in Table 2, if the obtained child's age is 5 years, then the child's initial metabolic rate is determined to be 0.85. This method enables the accurate determination of a child's initial metabolic rate.

[0094] Furthermore, the air conditioner can determine the child's sleep heat production value by combining the standard metabolic rate and the child's initial metabolic rate. Specifically, the air conditioner determines the child's sleep heat production value based on the standard metabolic rate and the child's initial metabolic rate, including:

[0095] M 产 =[M(t) 标准 [×M0 / 0.7]×58.2

[0096] Among them, M 产 For children's sleep caloric value, M(t) 标准 M0 represents the standard metabolic rate, and M0 represents the initial metabolic rate for children. It should be noted that 58.2 in the formula for calculating the thermic value during sleep in children is a conversion factor for metabolic rate units, i.e., 1 Mt = 58.2 W / m³. 2 .

[0097] In one example, if the standard metabolic rate is determined to be 0.7 and M0 is 0.85 based on the aforementioned steps, then M is determined. 产 =[0.75×0.85 / 0.7]×58.2=53W / m 2 This approach allows for the accurate determination of children's sleep-related thermic values ​​by combining standard metabolic rate and children's initial metabolic rate.

[0098] Optionally, S13, the air conditioner constructs a PMV model based on the child's sleep heat production value and the target correction value, including:

[0099] The air conditioner determines the initial child sleep comfort model based on the heat production value during child sleep.

[0100] The air conditioner modifies the initial child sleep comfort model based on the target correction value to obtain the PMV model.

[0101] In this plan, the initial children's sleep comfort model is as follows:

[0102] PMV 初始 =0.303exp(-0.036×M) 产 +0.0275

[0103] Among them, PMV 初始 For the initial children's sleep comfort model, M 产 This represents the thermic value generated during children's sleep. This allows us to obtain an initial model of children's sleep comfort related to the thermic value generated during sleep.

[0104] Furthermore, the air conditioner can modify the initial child sleep comfort model based on the target correction value to obtain the PMV model. In this way, when the initial child sleep comfort model is insufficient to accurately reflect the child's thermal comfort, the difference between the child's sleep heat generation value and the child's sleep heat dissipation value can be introduced as a correction value. This can more intuitively and accurately reflect the child's actual heat exchange, helping to more accurately predict the child's thermal comfort and improve the accuracy of the PMV model prediction.

[0105] Optionally, the air conditioner modifies the initial child sleep comfort model based on the target correction value to obtain a PMV model, including:

[0106] PMV = [0.303exp(-0.036×M] 产 )+0.0275]×TL

[0107] Among them, M 产 The value represents the thermic value during children's sleep, and TL is the target correction value.

[0108] This approach allows for the introduction of the difference between the heat production and heat dissipation during sleep as a correction factor when the initial child sleep comfort model is insufficient to accurately reflect the child's thermal comfort. This provides a more intuitive and accurate reflection of the child's actual heat exchange, helps to more accurately predict the child's thermal comfort, and improves the accuracy of the PMV model prediction.

[0109] This disclosure provides a control method for an air conditioner, including:

[0110] The air conditioner acquires characteristic parameters of children, characteristic parameters of bedding, and children's sleep metabolic rate curves.

[0111] The air conditioner determines the target sleep temperature curve for children based on children's characteristic parameters, bedding characteristic parameters, and children's sleep metabolic rate curve.

[0112] The air conditioner controls the indoor temperature according to the target sleep temperature curve.

[0113] The control method for air conditioners provided in this disclosure generates a target sleep temperature curve that satisfies a child's thermal comfort state by using child characteristic parameters, bedding characteristic parameters, and a child's sleep metabolic rate curve. On one hand, considering that children are in a developmental stage and their thermoregulation mechanisms are not yet fully developed, introducing child characteristic parameters and bedding characteristic parameters allows for a more accurate assessment of the actual heat dissipation process during sleep. On the other hand, children have relatively high metabolic expenditure during development, resulting in a generally higher metabolic rate than adults. Determining a more suitable child sleep metabolic rate curve helps to more accurately assess the actual heat production process during sleep. Therefore, this disclosure allows for a reasonable analysis of a child's actual thermoregulation mechanism in conjunction with their developmental stage, thereby determining a neutral temperature corresponding to the child's thermal comfort state. This allows for the setting of a target sleep temperature curve that better suits the child's sleep comfort state. By controlling the air conditioner to continuously regulate the indoor temperature according to this target sleep temperature curve, this disclosure avoids situations where unsuitable indoor temperatures cause children to wake up prematurely, thus better ensuring a comfortable sleep experience and improving sleep quality.

[0114] Optionally, the air conditioner determines the child's target sleep temperature curve based on the child's characteristic parameters, bedding characteristic parameters, and the child's sleep metabolic rate curve. This includes: determining the child's skin surface area based on the child's characteristic parameters; determining the bedding thermal resistance based on the bedding characteristic parameters; and determining the child's target sleep temperature curve based on the child's skin surface area, bedding thermal resistance, and the child's sleep metabolic rate curve. In this way, this embodiment of the disclosure can determine the child's skin surface area through the child's characteristic parameters, thereby enabling the analysis of the heat exchange efficiency between the child's body surface and the indoor environment, which helps to determine the child's actual heat dissipation capacity during sleep. Furthermore, this embodiment of the disclosure also determines the bedding thermal resistance during the child's sleep through the bedding characteristic parameters, thereby considering the actual impact of the bedding on the child's heat retention capacity, and more accurately analyzing the child's actual heat dissipation capacity during sleep. By analyzing the child's skin surface area, bedding thermal resistance, and the child's sleep metabolic rate curve, this embodiment of the disclosure can determine a target sleep temperature curve that better reflects the child's sleep comfort, which is beneficial for improving the child's sleep quality.

[0115] Optionally, the child's characteristic parameters include some or all of the following: child's weight, height, age, and gender. This allows for the assessment of the child's current developmental status based on these parameters, facilitating more accurate regulation of the child's thermoregulatory mechanisms during sleep.

[0116] Optionally, the air conditioner acquires the child's sleep metabolic rate curve, including: the air conditioner acquiring a standard sleep metabolic rate curve; the air conditioner determining the child's initial metabolic rate based on the child's age; and the air conditioner determining the initial metabolic rate based on M(t). 儿童 =M(t) 标准 ×M0 / 0.7, obtain the child's sleep metabolic rate curve. Where M(t) 儿童 The metabolic rate curve during sleep in children, M(t). 标准 This is a standard sleep metabolic rate curve, where M0 is the child's initial metabolic rate, t is the duration of sleep, and M(t) is the average sleep metabolic rate. 儿童 This includes children's sleep metabolic rate corresponding to multiple sleep durations. By combining this with the child's age-matched initial metabolic rate, and then correcting the standard adult sleep metabolic rate curve accordingly, a sleep metabolic rate curve suitable for children of different ages can be quickly obtained. Therefore, the embodiments of this disclosure can fully consider the differences in developmental status of children of different ages, and can more reasonably analyze the actual heat production capacity during children's sleep.

[0117] Optionally, the air conditioner determines the child's target sleep temperature curve based on the child's skin surface area, bedding thermal resistance, and the child's sleep metabolic rate curve, including: the air conditioner based on M(t). 儿童 =[(T sk -T a (t))+0.376×(5.52-P a )] / R T +[0.13×(34-T a (t))+1.52×(5.52-P a )] / A D This allows us to obtain the target sleep temperature curve for children. Among these, T... a (t) represents the target sleep temperature curve for children, M(t). 儿童 For children's sleep metabolic rate curve, T sk For skin metabolic temperature, P a R is the partial pressure of water vapor in the air. T For the thermal resistance of bedding, A D T represents the skin surface area of ​​a child, t represents the duration of sleep, and T represents the duration of sleep. a (t) includes target sleep temperatures corresponding to multiple sleep durations. Thus, for different sleep durations, embodiments of this disclosure can match the corresponding child's sleep metabolic rate to the child's sleep metabolic rate curve, then determine the skin metabolic temperature, water vapor partial pressure in the air, bedding thermal resistance, and child's skin surface area, and finally substitute these into the above calculation formula to obtain multiple thermally neutral temperatures corresponding to different sleep durations, and summarize them as a target sleep temperature curve for controlling the air conditioner.

[0118] Optionally, skin metabolic temperature T sk It is related to children's sleep metabolic rate. Specifically, T sk = 35.7 - 0.0275 × M(t) 儿童 When determining a child's target sleep temperature curve, this formula can be directly substituted into the equation.

[0119] Optionally, the partial pressure of water vapor in the air, P a It is related to the target sleep temperature and indoor humidity. Specifically, When determining the target sleep temperature curve for children, this formula can be directly substituted.

[0120] Optionally, when the indoor humidity is within a preset humidity range, the partial pressure of water vapor in the air, P, is calculated. a At that time, the standard ambient humidity (RH) can be substituted. 标 Specifically, standard ambient humidity (RH) 标 =50%, which is in line with the comfort level of children's sleep.

[0121] In addition, when determining the target sleep temperature curve for children, attention should be paid to the unit conversion of the thermal resistance of the bedding. Specifically, a thermal resistance unit conversion factor a1, a1 = 0.155, can be introduced. The thermal resistance unit conversion factor reflects the following relationship: 1clo = 0.155 (m 2 ·K / W).

[0122] In addition, when determining the target sleep temperature curve for children, attention should be paid to the unit conversion of the children's sleep metabolic rate. Specifically, a metabolic rate unit conversion factor a2, a2 ​​= 58.2, can be introduced. The metabolic rate unit conversion factor reflects the following relationship: 1 met = 58.2 W / m 2 .

[0123] Optionally, combined Figure 5 As shown in the diagram, this disclosure provides a schematic diagram of a target sleep temperature curve for a child. The horizontal axis represents sleep duration (in hours), and the vertical axis represents the target sleep temperature (in degrees Celsius). By determining the duration of sleep after the user falls asleep, a target sleep temperature corresponding to the sleep duration can be matched from the target sleep temperature curve. For example, when the duration of sleep after the user falls asleep is 1 hour, a target sleep temperature can be matched from the target sleep temperature curve. Figure 4 Matching was performed to determine the target sleep temperature T corresponding to a sleep duration of 1 hour. a (1) = 26.6℃.

[0124] Optionally, the air conditioner control adjusts the indoor ambient temperature according to the target sleep temperature curve, including: at preset intervals, the air conditioner matches the target sleep temperature corresponding to the duration of the child's sleep in the target sleep temperature curve; the air conditioner controls its operating parameters according to the target sleep temperature to make the indoor ambient temperature approach the target sleep temperature. Thus, once the child's target sleep temperature curve is determined, this embodiment can periodically match the target sleep temperature corresponding to the current sleep duration in the target sleep temperature curve, and then reasonably adjust the air conditioner's operating parameters based on the matched target sleep temperature, thereby making the current indoor ambient temperature approach a more suitable target sleep temperature, creating an indoor environment that is comfortable for the child's sleep and improving the child's sleep quality.

[0125] Optionally, the preset duration can be set to 0.1 hours to ensure that the indoor temperature fluctuates relatively smoothly during the child's sleep, which helps to better guarantee the child's sleep comfort. The preset duration can also be adjusted according to the user's actual needs, and can be set to any other reasonable value such as 0.05 hours or 0.2 hours.

[0126] This disclosure provides a method for correcting a target sleep temperature curve, including:

[0127] The air conditioner obtains the target sleep temperature curve for children.

[0128] The air conditioner obtains the current season and the child's gender.

[0129] The air conditioner adjusts the child's target sleep temperature curve according to the current season and the child's gender.

[0130] In this solution, the air conditioner acquires the child's target sleep temperature curve by obtaining the child's characteristic parameters, bedding characteristic parameters, and the child's sleep metabolic rate curve. Based on these parameters, the air conditioner determines the child's target sleep temperature curve. This solution comprehensively considers the impact of multiple parameters, including the child's characteristic parameters, bedding characteristic parameters, and the child's sleep metabolic rate curve, on the child's thermal comfort during sleep to accurately determine the sleep temperature curve. This ensures that the target sleep temperature curve determined in this way can adapt to the child's physiological needs during different sleep stages.

[0131] In this solution, the air conditioner can also determine the current season. In one example, seasons can be divided according to the astronomical solar altitude and day length. For instance, summer is the season with the highest solar altitude and longest daylight hours; winter, conversely, is the season with the lowest solar altitude and shortest daylight hours. In another example, meteorological divisions can be used, typically with March to May as spring, June to August as summer, September to November as autumn, and December and the following January and February as winter. This solution allows for precise determination of the current season.

[0132] In this solution, the air conditioner can determine the child's gender using pre-stored user information. Alternatively, the air conditioner can acquire a user image and determine the user's gender by performing feature recognition on the acquired image. This solution enables accurate gender determination of the user.

[0133] Furthermore, the air conditioner can adjust the child's target sleep temperature curve based on the current season and the child's gender. Specifically, the air conditioner adjusts the child's target sleep temperature curve according to the current season and the child's gender, including: if the current season is summer and the child is female, the air conditioner adjusts the target sleep temperature curve according to a first adjustment method; or if the current season is winter and the child is female, the air conditioner adjusts the target sleep temperature curve according to a second adjustment method; or if the current season is winter and the child is male, the air conditioner adjusts the target sleep temperature curve according to a third adjustment method.

[0134] The method for correcting the target sleep temperature curve provided in this disclosure can accurately correct the child's target sleep temperature curve after obtaining the current season and the child's gender. This solution can obtain a more accurate sleep temperature curve, making the corrected sleep temperature curve more consistent with the actual changes in children's sleep, thereby providing a precise data basis for the control of the air conditioner and meeting the child's sleep comfort needs.

[0135] Optionally, the air conditioner adjusts the child's target sleep temperature curve according to the current season and the child's gender, including:

[0136] Given that the current season is summer and the child is female, the air conditioner adjusts the child's target sleep temperature curve according to the first correction method. Alternatively,

[0137] Given that the current season is winter and the child is female, the air conditioner adjusts the child's target sleep temperature curve according to the second correction method. Alternatively,

[0138] Given that the current season is winter and the child is male, the air conditioner adjusts the child's target sleep temperature curve according to the third correction method.

[0139] In this scheme, it is understood that gender has a significant impact on children's thermoneutral temperature. Here, thermoneutral temperature refers to the comfortable temperature at which the human body feels neither cold nor hot. Specifically, experiments have shown that girls generally have higher thermoneutral temperatures than boys. Furthermore, research indicates that seasonal changes also affect children's thermoneutral temperature. For example, children's thermoneutral temperatures differ between winter and summer due to differences in ambient temperature. Thus, in this embodiment, the target sleep temperature curve for children can be adjusted according to the current season and the child's gender. Specifically, the first adjustment method includes shifting the target sleep temperature curve upward by a first adjustment range, the second adjustment method includes shifting the target sleep temperature curve upward by a second adjustment range, and the third adjustment method includes shifting the target sleep temperature curve upward by a third adjustment range, where the first adjustment range < the second adjustment range and the first adjustment range = the third adjustment range. As an example, the first adjustment range = the third adjustment range = 0.5℃, and the second adjustment range is 1℃. It should be noted that the target sleep temperature curves for children in this case are based on summer boys. Thus, if the current season is summer and the child is female, the air conditioner will shift the child's target sleep temperature curve upwards by 0.5°C to correct for it. If the current season is winter and the child is female, the air conditioner will shift the child's target sleep temperature curve upwards by 1°C to correct it. If the current season is winter and the child is male, the air conditioner will shift the child's target sleep temperature curve upwards by 0.5°C to correct it. This approach ensures that the corrected sleep temperature curve better reflects the actual changes in a child's sleep patterns, making it easier to provide a more targeted sleep temperature profile for the child.

[0140] This disclosure provides a control method for an air conditioner, including:

[0141] When there are multiple users in the room where the air conditioner is located, the air conditioner determines the age group information of each user.

[0142] The air conditioner determines the target user among multiple users based on priority information and the age group information of each user.

[0143] The air conditioner determines the target sleep temperature curve for the target user.

[0144] The air conditioner is controlled according to the target sleep temperature curve.

[0145] In this solution, the air conditioner can determine whether multiple users are present in the room where it is located using its associated image acquisition device or radar device. If multiple users are present, the air conditioner retrieves the age information of the users stored within it. This allows the air conditioner to determine the age group of each user based on this information. The age group includes infants, toddlers, children, and adults. For example, if a user's age is between 1 and 3 years old, they are identified as an infant. If their age is between 4 and 6 years old, they are identified as a toddler. If their age is between 7 and 12 years old, they are identified as a child. This allows for accurate determination of each user's age group based on their age information.

[0146] Furthermore, the air conditioner can determine the target user among multiple users based on priority information and the age group information of each user. Specifically, the air conditioner can prioritize each user according to priority information and the age group information of each user to filter out the user with the highest priority. The air conditioner will then select this user as the target user among multiple users. The priority information includes infants > toddlers > children > adults. This scheme can determine the target user according to the principle of choosing the least important user.

[0147] Furthermore, the air conditioner can determine the target sleep temperature profile for the target user and control the air conditioner according to the target sleep temperature profile.

[0148] The control method for air conditioners provided in this disclosure can accurately identify target users among multiple users by combining priority information and age group information of each user. Therefore, after determining the target sleep temperature curve of the target user, the air conditioner is controlled to operate according to the target sleep temperature curve, improving the control accuracy and user comfort in multi-user scenarios and meeting users' needs for intelligent and convenient control of air conditioners.

[0149] Optionally, the air conditioner determines the target user among multiple users based on priority information and the age group information of each user, including:

[0150] The air conditioner prioritizes users based on priority information and age group information to select the user with the highest priority.

[0151] The air conditioner targets this user among multiple users.

[0152] The age group information includes infants, toddlers, children, and adults, and the priority information is infants > toddlers > children > adults.

[0153] Understandably, younger users are more sensitive to the temperature in the room where the air conditioner is located. Therefore, this design adopts a "weakest priority" principle, setting the priority information as infants > toddlers > children > adults. This allows the air conditioner to prioritize users based on the priority information and their age group, selecting the user with the highest priority. For example, if the age groups of three users in the room where the air conditioner is located are infants, toddlers, and children, then the three users can be prioritized, with the infants identified as the target user. This approach enables precise identification of the target user.

[0154] Optionally, the air conditioner determines the target user among multiple users based on priority information and the age group information of each user, including:

[0155] If the air conditioner identifies multiple users based on priority information and age group information, and all users belong to the same age group, then the activity level of each user is obtained separately.

[0156] The air conditioner identifies the most active user among multiple users and targets that user.

[0157] In this scheme, if multiple users are identified based on priority information and age group information, and these users all belong to the same age group, then the hyperactivity level of each user is obtained separately. Specifically, the hyperactivity level of each user can be determined by obtaining their sleep activity information. Obtaining the user's sleep activity information includes: obtaining the user's historical sleep activity amplitude and / or historical sleep activity frequency. Based on the user's historical sleep activity amplitude and / or historical sleep activity frequency, the child's sleep activity information is determined. This scheme allows the user to determine their activity patterns using their historical sleep activity amplitude and frequency, thereby determining the user's sleep activity information through these patterns.

[0158] Furthermore, the air conditioner can filter out the user with the highest activity level from among multiple users and designate that user as the target user. With this approach, after the principle of prioritizing the least active user takes effect, the target user is determined based on the user's activity level characteristics to ensure that the target user with the highest environmental needs is identified.

[0159] This disclosure provides a method for correcting a sleep temperature curve, including:

[0160] The air conditioner obtains the target sleep temperature curve for children.

[0161] Air conditioners collect information about children's sleep activities.

[0162] The air conditioner adjusts the child's target sleep temperature curve based on the child's sleep activity information.

[0163] The method for correcting a sleep temperature curve provided in this disclosure can generate a target sleep temperature curve that meets the thermal comfort requirements of children. Then, the method acquires the child's sleep activity information to determine whether this information has a substantial impact on their sleep comfort. If it is determined that the child's sleep activity information significantly affects their sleep comfort, this disclosure appropriately corrects the target sleep temperature curve based on the sleep activity information to generate a more reasonable target sleep temperature curve. This helps prevent children from catching a cold due to unsuitable indoor temperatures during sleep, thus protecting their sleep health.

[0164] Optionally, the air conditioner acquires the child's sleep activity information, including: acquiring the child's historical sleep activity amplitude and / or historical sleep activity frequency; and determining the child's sleep activity information based on the child's historical sleep activity amplitude and / or historical sleep activity frequency. Thus, embodiments of this disclosure can combine the child's historical sleep activity amplitude and / or historical sleep activity frequency to predict the child's current sleep activity information, facilitating analysis of whether the child's sleep activity information will have a substantial impact on their sleep comfort.

[0165] Optionally, the air conditioner determines the child's sleep activity information based on the child's historical sleep activity amplitude and / or historical sleep activity frequency. This includes: if the child's historical sleep activity amplitude is greater than or equal to a sleep activity amplitude threshold, and / or the child's historical sleep activity frequency is greater than or equal to a sleep activity frequency threshold, the air conditioner determines the child's sleep activity information as restless sleep; or, if the child's historical sleep activity amplitude is less than a sleep activity amplitude threshold, and the child's historical sleep activity frequency is less than a sleep activity frequency threshold, the air conditioner determines the child's sleep activity information as quiet sleep. Thus, when the child's historical sleep activity amplitude and / or historical sleep activity frequency exceed the corresponding threshold, it indicates that the child's previous sleep movements, such as turning over or kicking off the blankets, are more pronounced, easily leading to the blankets separating from the child's body. This may cause the child to catch a cold, thus affecting the child's sleep health. Therefore, this embodiment of the disclosure can determine the child's sleep activity information as restless sleep, and can then instruct the air conditioner not to adjust according to the original target sleep temperature curve. When both the amplitude and frequency of a child's historical sleep activity do not exceed their respective thresholds, it indicates that the child's previous physical movements during sleep, such as turning over or kicking off the blankets, were not significant. It is unlikely that the blankets would separate from the child's body, and therefore unlikely to substantially affect their sleep comfort. Thus, this embodiment of the invention can determine that the child's sleep activity information indicates quiet sleep, and can then instruct the air conditioner to adjust according to the original target sleep temperature curve.

[0166] Optionally, the air conditioner adjusts the target sleep temperature curve for the child based on the child's sleep activity information. This includes shifting the target sleep temperature curve upwards when the child's sleep activity information indicates that the child is active during sleep. This prevents the blankets from separating from the child's body during active sleep, which could cause the child to catch a cold and affect their sleep health. By shifting the target sleep temperature curve upwards, this embodiment of the invention can appropriately increase the indoor ambient temperature during the child's sleep process, ensuring the child's thermal comfort even without blankets. This not only ensures the child's sleep quality but also prevents them from catching a cold, further protecting their sleep health.

[0167] Optionally, after acquiring the child's sleep activity information, the air conditioner further includes: when the child's sleep activity information indicates that the child is sleeping quietly, the air conditioner controls itself to adjust the indoor ambient temperature according to the target sleep temperature curve. In this way, when the child is sleeping quietly, it is unlikely that the blankets will separate from the child's body, and the child's sleep activity information has little substantial impact on their sleep comfort. Therefore, this embodiment of the invention controls the air conditioner to directly adjust the indoor ambient temperature according to the predetermined target sleep temperature curve, which can better ensure the child's sleep comfort and improve the child's sleep quality.

[0168] Optionally, the air conditioner controls the upward shift of the child's target sleep temperature curve, including: the air conditioner determining the child's level of sleep activity based on the child's sleep activity information; the air conditioner determining a target correction strategy for the target sleep temperature curve based on the child's level of sleep activity; the target correction strategy includes a target correction temperature and a target correction period; and the air conditioner controlling the child's target sleep temperature curve to shift upward according to the target correction strategy. Thus, this embodiment of the present disclosure can further determine the child's level of sleep activity from the child's sleep activity information, and then match corresponding target correction strategies according to different levels of sleep activity, thereby controlling the target sleep temperature curve to shift upward precisely according to an appropriate target correction temperature and target correction period, to generate a more reasonable target sleep temperature curve.

[0169] Optionally, the air conditioner determines the child's sleep activity level in the following manner: the air conditioner acquires the amplitude difference between the child's historical sleep activity amplitude and a sleep activity amplitude threshold; the air conditioner acquires the frequency difference between the child's historical sleep activity frequency and a sleep activity frequency threshold; the air conditioner determines the child's sleep activity level based on the amplitude difference and / or frequency difference. Thus, this embodiment of the present disclosure can combine the amplitude difference between the child's historical sleep activity amplitude and its threshold, and / or the frequency difference between the child's historical sleep activity frequency and its threshold, to determine the child's sleep activity level, which is beneficial for more reasonably correcting the child's target sleep temperature curve.

[0170] Optionally, the air conditioner determines the child's level of sleep hyperactivity based on amplitude difference and / or frequency difference, including: when the amplitude difference is less than or equal to a first difference and / or the frequency difference is less than or equal to a second difference, the air conditioner determines the child's level of sleep hyperactivity as the first level of hyperactivity; or when the amplitude difference is greater than the first difference and the frequency difference is greater than the second difference, the air conditioner determines the child's level of sleep hyperactivity as the second level of hyperactivity. The first level of hyperactivity is less than the second level of hyperactivity. Thus, when both the amplitude and frequency of a child's historical sleep activity significantly exceed their respective thresholds, it indicates a very high probability of separation between the blanket and the child's body during sleep. In this case, determining the child's level of sleep hyperactivity as the relatively large second level of hyperactivity can further instruct the original target sleep temperature curve to adopt a more significant target correction strategy. When a child's historical sleep activity amplitude and / or historical sleep activity frequency only slightly exceed the corresponding threshold, it indicates that the probability of the covering separating from the child's body during sleep is high. In this case, the child's sleep hyperactivity level is determined to be a relatively low first hyperactivity level, which can then instruct the original target sleep temperature curve to adopt a smaller target correction strategy.

[0171] Optionally, the air conditioner determines a target correction strategy for the target sleep temperature curve based on the child's level of sleep activity. This includes: if the child's level of sleep activity is at the first level, the air conditioner determines the target correction strategy to correct the child's target sleep temperature curve according to a third correction temperature within a first correction period; or, if the child's level of sleep activity is at the second level, the air conditioner determines the target correction strategy to correct the child's target sleep temperature curve according to a third correction temperature within a second correction period. The first correction period is shorter than the second correction period. Thus, this embodiment of the present disclosure can set different target correction periods based on the child's level of sleep activity. When the child is at the first level of activity, the probability of the blanket separating from the child's body during sleep is relatively low, and the target sleep temperature curve can be shifted upwards within a relatively short first correction period, with the shift value being a relatively suitable third correction temperature. This allows the indoor ambient temperature to be adjusted according to the original target sleep temperature value for the vast majority of the sleep period, focusing on ensuring the child's comfortable sleep experience while covered, which is beneficial for ensuring the child's sleep quality. When a child is at the second level of hyperactivity, the probability of the blanket separating from the child's body during sleep is relatively higher. Therefore, the target sleep temperature curve can be shifted upwards over a relatively large second correction period, with the shift value being a relatively suitable third correction temperature. This allows the indoor temperature to be regulated according to the corrected target sleep temperature value for most of the sleep process, prioritizing the child's comfort when uncovered, thus contributing to the child's sleep health.

[0172] Optionally, the third correction temperature is 0.5°C to ensure a comfortable sleep experience for children.

[0173] Optionally, the first correction period includes the waking stage, and the second correction period includes the deep sleep stage and the waking stage, in order to ensure a comfortable sleep experience for children.

[0174] Optionally, the air conditioner determines a target correction strategy for the target sleep temperature curve based on the child's level of sleep activity. This includes: if the child's level of sleep activity is at the first level, the air conditioner determines the target correction strategy to correct the child's target sleep temperature curve according to the first correction temperature during a third correction period; or, if the child's level of sleep activity is at the second level, the air conditioner determines the target correction strategy to correct the child's target sleep temperature curve according to the second correction temperature during a third correction period. The first correction temperature is lower than the second correction temperature. Thus, this embodiment of the present disclosure can set different target correction temperatures based on the child's level of sleep activity. When the child is at the first level of activity, the probability of the blanket separating from the child's body during sleep is relatively low, and the target sleep temperature curve can be shifted upwards by a relatively small first correction temperature for a relatively suitable third correction period. This allows the indoor ambient temperature to be adjusted according to a slightly higher corrected target sleep temperature value during sleep, taking into account the child's fever during sleep and helping to ensure the child's sleep quality. When a child is at the second level of hyperactivity, the probability of the blanket separating from the child's body during sleep is relatively higher. Therefore, the target sleep temperature curve can be shifted upwards with a relatively large second correction temperature, and the duration can be a relatively suitable third correction period. This allows the indoor temperature to be regulated according to the higher, corrected target sleep temperature value during sleep, focusing on protecting the child from catching a cold and thus ensuring their sleep health.

[0175] Optionally, the first correction temperature is 0.5℃ and the second correction temperature is 1℃ to ensure a comfortable sleep experience for children.

[0176] Optionally, the third correction period includes both deep sleep and wakefulness stages to ensure a comfortable sleep experience for children.

[0177] Specifically, the sleep process includes the sleep onset stage, the deep sleep stage, and the wakefulness stage. When the duration of sleep t after a child falls asleep is within the range [0h, 1h), the child can be identified as being in the sleep onset stage; when the duration of sleep t after a child falls asleep is within the range [1h, t...], the child is identified as being in the sleep onset stage. 总 When the duration of sleep (t) after falling asleep is within 2 hours, it can be determined that the child is in deep sleep; when the duration of sleep (t) after falling asleep is within [t... 总 -2h,t 总When the time frame is within [h], the child can be identified as being in the awakening stage. Among these, t... 总 Total sleep duration for children.

[0178] Optionally, the air conditioner acquires the child's target sleep temperature curve, including: the air conditioner acquires the child's characteristic parameters, bedding characteristic parameters, and the child's sleep metabolic rate curve; the air conditioner determines the child's target sleep temperature curve based on the child's characteristic parameters, bedding characteristic parameters, and the child's sleep metabolic rate curve.

[0179] Optionally, after the air conditioner corrects the child's target sleep temperature curve based on the child's sleep activity information, it also includes: the air conditioner controlling the air conditioner to adjust the indoor ambient temperature according to the corrected target sleep temperature curve.

[0180] Figure 6 This is a schematic diagram of an apparatus for constructing a PMV model provided in an embodiment of this disclosure; combined with Figure 6 As shown, optionally, this disclosure provides an apparatus 300 for constructing a PMV model, including a processor 301 and a memory 302. Optionally, the apparatus 300 may further include a communication interface 303 and a bus 304. The processor 301, communication interface 303, and memory 302 can communicate with each other via the bus 304. The communication interface 303 can be used for information transmission. The processor 301 can call logical instructions in the memory 302 to execute the method for constructing a PMV model described in the above embodiments.

[0181] Furthermore, the logic instructions in the aforementioned memory 302 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0182] The memory 302, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 301 executes functional applications and data processing by running the program instructions / modules stored in the memory 302, that is, it implements the method for constructing the PMV model in the above embodiments.

[0183] The memory 302 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 302 may include high-speed random access memory and may also include non-volatile memory.

[0184] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for constructing a PMV model.

[0185] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a USB flash drive, external hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc., and other media capable of storing program code.

[0186] 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.

[0187] 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.

[0188] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0189] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for constructing a thermal comfort model, characterized by, The method comprises the following steps: obtaining a child sleep heat production value and a child sleep heat dissipation value; determining a target correction value according to the child sleep heat production value and the child sleep heat dissipation value; constructing a PMV model according to the child sleep heat production value and the target correction value.

2. The method of claim 1, wherein, The method for determining the target correction value according to the child sleep heat production value and the child sleep heat dissipation value comprises the following steps: TL = MIN(|M 产 - M 散 |) Wherein, TL is the target correction value, M 产 is the sleep heat production value of the child, M 散 is the sleep heat dissipation value of the child.

3. The method according to claim 1 or 2, characterized in that, The method for determining the child sleep heat dissipation value comprises the following steps: obtaining a bedding thermal resistance, a child skin surface area, a skin metabolic temperature and environment-related parameters; determining the child sleep heat dissipation value according to the bedding thermal resistance, the child skin surface area, the skin metabolic temperature and the environment-related parameters; The bedding thermal resistance is determined by bedding characteristic parameters, and the bedding characteristic parameters comprise a clothing coefficient, a sleepwear thermal resistance, a sleeping bag thermal resistance, a covering coefficient, a covering thermal resistance and a bedding thermal resistance, and the environment-related parameters comprise a target environment temperature and an air water vapor partial pressure.

4. The method of claim 3, wherein, The target environment temperature is determined by the following method: adjusting the environment temperature step by step in an environment temperature optimization range with a set optimization step, and recalculating the difference between the child sleep heat production value and the child sleep heat dissipation value after each adjustment until the target environment temperature with the minimum absolute value of the difference is determined.

5. The method of claim 3, wherein, The child skin surface area is determined by the following method: A D = 0.008883 x W b 0.444 x H 0.663 wherein A D is the skin surface area of the child, W b is the weight of the child, and H is the height of the child.

6. The method of claim 1 or 2, wherein, The method for determining the child sleep heat production value comprises the following steps: obtaining a sleep duration of a user and an adult standard sleep metabolic rate curve; matching a standard metabolic rate in the adult standard sleep metabolic rate curve according to the sleep duration of the user; determining a child initial metabolic rate according to the age of the child; determining the child sleep heat production value according to the standard metabolic rate and the child initial metabolic rate.

7. The method of claim 1, wherein, The method for constructing the PMV model according to the child sleep heat production value and the target correction value comprises the following steps: determining an initial child sleep comfort model according to the child sleep heat production value; correcting the initial child sleep comfort model according to the target correction value to obtain the PMV model.

8. The method of claim 7, wherein, The method for correcting the initial child sleep comfort model according to the target correction value to obtain the PMV model comprises the following steps: PMV = [0.303 exp(-0.036 x M 产 ) + 0.0275] x TL wherein M 产 is the sleep heat production value for the child, and TL is the target correction value.

9. An apparatus for constructing a thermal comfort model, comprising a processor and a memory having stored therein program instructions, the apparatus being characterized by: The processor is configured to execute the program instructions to perform the method for constructing the thermal comfort model according to any one of claims 1 to 8 when the program instructions are executed.

10. A computer readable storage medium storing program instructions, characterized in that, The program instructions are used to make the computer execute the method for constructing the thermal comfort model according to any one of claims 1 to 8 when the program instructions are executed.

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