Method and device for correcting sleep temperature curve, air conditioner and computer readable storage medium

Abstract

The invention relates to the technical field of air conditioners, and discloses a method for correcting a sleep temperature curve, which comprises the following steps: acquiring a target sleep temperature curve of a child; acquiring sleep activity information of the child; and correcting the target sleep temperature curve of the child according to the sleep activity information of the child. According to the method, the target sleep temperature curve meeting the thermal comfort state of the child can be generated, and then the sleep activity information of the child is acquired to judge whether the sleep activity information of the child has substantial influence on the sleep comfort state of the child or not. If yes, the target sleep temperature curve of the child is properly corrected in combination with the sleep activity information to generate a more reasonable target sleep temperature curve, so that the situation that the child catches a cold due to the improper indoor environment temperature in the sleep process can be avoided, and the sleep health of the child is guaranteed. The invention further discloses a device for correcting the sleep temperature curve, the air conditioner and a computer readable storage medium.

Description

Technical Field

[0001] This application relates to the field of air conditioner technology, such as a method, apparatus, air conditioner, and computer-readable storage medium for correcting sleep temperature curves. 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 demands for thermal comfort in their environments, air conditioners have become an indispensable smart home appliance for every household. At present, to meet the thermal comfort needs of different users, it is possible to monitor and analyze changes in body temperature during sleep, generating a sleep temperature curve that conforms to the user's sleep patterns, and then controlling the air conditioner according to this curve to meet the user's thermal comfort requirements for indoor temperature.

[0003] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art:

[0004] The existing technology only uses body temperature changes during sleep to generate a sleep temperature curve, without considering other factors besides temperature that may affect the user's sleep comfort. Children are more active during sleep than adults, frequently turning over or kicking off their blankets. When children kick off their blankets, the thermal equilibrium corresponding to the original sleep temperature curve is disrupted. Controlling the air conditioner according to the original sleep temperature curve at this time can easily cause children to catch a cold, which is detrimental to their sleep health.

[0005] 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

[0006] 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.

[0007] This disclosure provides a method, apparatus, air conditioner, and computer-readable storage medium for correcting sleep temperature curves, which can generate more reasonable target sleep temperature curves, thereby avoiding children catching a cold due to unsuitable indoor ambient temperatures during sleep and helping to protect children's sleep health.

[0008] In some embodiments, the method includes: acquiring a target sleep temperature curve for the child; acquiring sleep activity information for the child; and correcting the target sleep temperature curve for the child based on the sleep activity information.

[0009] In some embodiments, the apparatus includes a processor and a memory storing program instructions, the processor being configured to perform the method described above for correcting a sleep temperature profile when the program instructions are executed.

[0010] In some embodiments, the air conditioner includes: an air conditioner body; and the aforementioned device for correcting the sleep temperature curve, which is installed on the air conditioner body.

[0011] In some embodiments, the computer-readable storage medium stores program instructions that, when executed, cause the computer to perform the above-described method for correcting the sleep temperature curve.

[0012] The method, apparatus, air conditioner, and computer-readable storage medium for correcting sleep temperature curves provided in this disclosure can achieve the following technical effects:

[0013] In this embodiment, a target sleep temperature curve that satisfies a child's thermal comfort state can be generated. Then, the child's sleep activity information is acquired to determine whether the child's sleep activity information has a substantial impact on their sleep comfort state. If it is determined that the child's sleep activity information significantly affects their sleep comfort state, this embodiment combines the sleep activity information to appropriately modify the child's target sleep temperature curve to generate a more reasonable target sleep temperature curve. This can prevent children from catching a cold due to unsuitable indoor environmental temperatures during sleep, thus helping to protect children's sleep health.

[0014] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0015] 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:

[0016] Figure 1 This is a schematic diagram of a method for correcting a sleep temperature curve provided in an embodiment of this disclosure;

[0017] Figure 2 This is a schematic diagram of a method for controlling an air conditioner provided in an embodiment of this disclosure;

[0018] Figure 3This is a schematic diagram of a bedding covering form provided in an embodiment of this disclosure;

[0019] Figure 4 This is a schematic diagram of a standard sleep metabolic rate curve provided in an embodiment of this disclosure;

[0020] Figure 5 This is a schematic diagram of a target sleep temperature curve for a child provided in an embodiment of this disclosure;

[0021] Figure 6 This is a schematic diagram of another method for correcting a sleep temperature curve provided in an embodiment of this disclosure;

[0022] Figure 7 This is a schematic diagram of another method for correcting a sleep temperature curve provided in an embodiment of this disclosure;

[0023] Figure 8 This is a schematic diagram of a control method for an air conditioner provided in an embodiment of this disclosure;

[0024] Figure 9 This is a schematic diagram of a method for constructing a thermal comfort model provided in an embodiment of this disclosure;

[0025] Figure 10 This is a schematic diagram of an apparatus for correcting a sleep temperature curve provided in an embodiment of this disclosure;

[0026] Figure 11 This is a schematic diagram of an air conditioner provided in an embodiment of this disclosure. Detailed Implementation

[0027] 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.

[0028] 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.

[0029] Unless otherwise stated, the term "multiple" means two or more.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] Combination Figure 1 As shown, this disclosure provides a method for correcting a sleep temperature curve, comprising:

[0034] S101, the processor acquires the child's target sleep temperature curve.

[0035] S102, the processor obtains information about the child's sleep activity.

[0036] S103, the processor corrects the child's target sleep temperature curve based on the child's sleep activity information.

[0037] 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.

[0038] Optionally, the processor 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.

[0039] Optionally, the processor 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 processor 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 processor 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.

[0040] Optionally, the processor corrects the child's target sleep temperature curve based on the child's sleep activity information, including: when the child's sleep activity information indicates that the child is active during sleep, the processor controls the target sleep temperature curve to shift upwards. This prevents the covering from separating from the child's body when the child is active during sleep, which could cause the child to catch a cold and thus affect their sleep health. By controlling the upward shift of the child's target sleep temperature curve, this embodiment of the disclosure can appropriately increase the indoor ambient temperature during the child's sleep process, ensuring that the child's thermal comfort is maintained even without coverings. This not only ensures the child's sleep quality but also prevents the child from catching a cold, further protecting the child's sleep health.

[0041] Optionally, after acquiring the child's sleep activity information, the processor further includes: if the child's sleep activity information indicates that the child is sleeping quietly, the processor controls the air conditioner 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 covering 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.

[0042] Optionally, the processor controls the upward shift of the child's target sleep temperature curve, including: the processor determining the child's sleep activity level based on the child's sleep activity information; the processor determining a target correction strategy for the target sleep temperature curve based on the child's sleep activity level; and the processor controlling the child's target sleep temperature curve to shift upward according to the target correction strategy. The target correction strategy includes a target correction temperature and a target correction period. Thus, this embodiment of the present disclosure can further determine the child's sleep activity level 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.

[0043] Optionally, the processor determines the child's sleep hyperactivity level as follows: the processor acquires the amplitude difference between the child's historical sleep activity amplitude and a sleep activity amplitude threshold; the processor acquires the frequency difference between the child's historical sleep activity frequency and a sleep activity frequency threshold; the processor determines the child's sleep hyperactivity level based on the amplitude difference and / or frequency difference. Thus, embodiments of this 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 hyperactivity level, which is beneficial for more reasonably correcting the child's target sleep temperature curve.

[0044] Optionally, the processor determines the child's level of sleep hyperactivity based on amplitude differences and / or frequency differences, including: determining the child's level of sleep hyperactivity as the first level 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; or determining the child's level of sleep hyperactivity as the second level when the amplitude difference is greater than the first difference and the frequency difference is greater than the second difference. 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.

[0045] Optionally, the processor 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 processor determines the target correction strategy to correct the child's target sleep temperature curve according to a third correction temperature during a first correction period; or, if the child's level of sleep activity is at the second level, the processor determines the target correction strategy to correct the child's target sleep temperature curve according to a third correction temperature during a second correction period. The first correction period falls within 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. The target sleep temperature curve can be shifted upwards during the first correction period, which has a relatively small duration, 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 during the second correction period, which accounts for a larger proportion of the sleep time, with the shifted 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 the vast majority of the sleep process, prioritizing the child's comfort when uncovered, thus contributing to the child's sleep health.

[0046] Optionally, the third correction temperature is 0.5℃ to better ensure a comfortable sleep experience for children.

[0047] 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 better ensure the child's comfortable sleep experience.

[0048] Optionally, the processor 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 a first level, the processor determines the target correction strategy to correct the child's target sleep temperature curve according to a first correction temperature during a third correction period; or, if the child's level of sleep activity is at a second level, the processor determines the target correction strategy to correct the child's target sleep temperature curve according to a 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 covering 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 during sleep according to a slightly higher corrected target sleep temperature value, preventing the child from overheating and ensuring 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.

[0049] Optionally, the first correction temperature is 0.5℃ and the second correction temperature is 1℃, so as to better ensure the child's comfortable sleep experience.

[0050] Optionally, the third correction period includes the deep sleep stage and the wakefulness stage to better ensure the child's sleep comfort experience.

[0051] 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.

[0052] Optionally, combined Figure 2 As shown, the processor acquires the child's target sleep temperature curve, including:

[0053] S201, the processor acquires child characteristic parameters, bedding characteristic parameters, and child sleep metabolic rate curves.

[0054] S202, the processor 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.

[0055] In this way, a target sleep temperature curve that meets the child's thermal comfort state can be generated by using child characteristic parameters, bedding characteristic parameters, and the child's sleep metabolic rate curve. On the one hand, considering that children are in the developmental stage and their thermoregulation physical mechanisms are not yet fully developed, the introduction of child characteristic parameters and bedding characteristic parameters can more accurately determine the actual heat dissipation process during the child's sleep. On the other hand, children's metabolic expenditure is relatively large during the developmental stage, so children's metabolic rate is generally higher than that of adults. By determining a more suitable child's sleep metabolic rate curve, it is helpful to more accurately determine the actual heat production process during the child's sleep. Therefore, the embodiments of this disclosure can reasonably analyze the child's actual thermoregulation mechanism in combination with the child's developmental state, thereby determining the neutral temperature corresponding to the child's thermal comfort state. This allows for the setting of a target sleep temperature curve that is more in line with the child's sleep comfort state, thus better ensuring the child's sleep comfort experience and improving the child's sleep quality.

[0056] Optionally, the processor 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.

[0057] 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.

[0058] Optionally, the processor determines the child's skin surface area based on the child's characteristic parameters, including: the processor based on A D =0.008883×W b 0.444 ×H 0.663 This yields the skin surface area of ​​children. Among them, A... D For children's skin surface area, W b 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.

[0059] 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.

[0060] Optionally, the processor obtains the child's weight and height in the following manner: based on the child's age and gender, the processor searches for the corresponding child's weight and height from a first association relationship. This ensures the reliability of the air conditioner control when no child's weight and height are detected or pre-entered, as the processor can find the corresponding information based on the first association relationship.

[0061] 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:

[0062] Table 1

[0063]

[0064]

[0065] Optionally, the bedding characteristic parameters include some or all of the thermal resistance of pajamas, sleeping bags, coverings, and mattresses. This allows for analysis of the impact of bedding on children's sleep comfort based on these characteristic parameters, facilitating more accurate regulation of children's thermoregulation mechanisms during sleep.

[0066] Optionally, the processor determines the thermal resistance of the bedding based on its characteristic parameters, including: the processor determines the thermal resistance based on R... T =P w ×(I sleepwear +I sleepbag )+P c ×I cover +I sheet The thermal resistance of the bedding is obtained. 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.

[0067] Optionally, the processor obtains the thermal resistance of the pajamas in the following manner: In the case of thin pajamas, the processor determines the thermal resistance I of the pajamas. sleepwear =0.3clo; or, if the pajamas are mid-length pajamas, the processor determines the pajamas' thermal resistance I. sleepwear =0.5clo; or, if the pajamas are thick, the processor 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.

[0068] Optionally, the processor obtains the sleeping bag's thermal resistance in the following manner: In the absence of a sleeping bag, the processor determines the sleeping bag's thermal resistance I. sleepbag =0clo; or, in the case of a thin sleeping bag, the processor determines the sleeping bag's thermal resistance I. sleepbag =0.5clo; or, in the case of a thick sleeping bag, the processor 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.

[0069] Optionally, the processor obtains the thermal resistance of the mat in the following manner: when the mat is a cooling mat, the processor determines the thermal resistance I of the mat. sheet = -0.5clo; or, if the bedding is a sheet, the processor determines the thermal resistance I of the bedding. sheet =0clo; or, if the padding is a blanket, the processor determines the thermal resistance I of the padding. 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.

[0070] Optionally, the processor obtains the thermal resistance of the covering in the following manner: In the absence of a covering, the processor determines the thermal resistance I of the covering. cover =0clo; or, if the covering is a towel, the processor determines the thermal resistance I of the covering. cover =2clo; or, if the covering is a summer blanket, the processor determines the thermal resistance I of the covering. cover =2.5clo; or, if the covering is a spring / autumn quilt, the processor determines the thermal resistance I of the covering. cover =2.8clo; or, if the covering is a winter blanket, the processor 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.

[0071] Optionally, the processor obtains the wearing factor and coverage factor in the following manner: In the case of no coverage, the processor determines the wearing factor P. w =1, and determine the coverage factor P. c =0; or, if there is covering, the processor determines the wearing factor P. w =0.5, and, based on the bedding coverage pattern, determine the coverage coefficient P. c This 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.

[0072] Optionally, the processor determines the coverage factor P based on the bedding coverage pattern.c This includes: when the bedding coverage is in the first coverage configuration, the processor determines the coverage coefficient P. c =1; or, if the bedding coverage is of the second type, the processor determines the coverage factor P. c =0.6; or, if the bedding coverage is of the third type, the processor determines the coverage factor P. c =0.4; or, if the bedding coverage is of the fourth coverage type, the processor 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.

[0073] 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.

[0074] Optionally, the processor acquires the child's sleep metabolic rate curve, including: the processor acquiring a standard sleep metabolic rate curve; the processor determining the child's initial metabolic rate based on the child's age; and the processor 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.

[0075] Optionally, combined Figure 4As shown in the diagram, this disclosure provides a schematic of a standard sleep metabolic rate curve. This standard sleep metabolic rate curve represents the metabolic rate change during an adult's 8-hour sleep process, with the horizontal axis representing sleep duration (in hours) and the vertical axis representing sleep metabolic rate (in meters). By determining the duration of sleep after a user falls asleep, a standard sleep metabolic rate corresponding to the sleep duration can be matched from the standard sleep metabolic rate curve. For example, when the duration of sleep after a user falls asleep is 1 hour, a standard sleep metabolic rate can be matched from the curve. Figure 4 Matching was performed to determine the standard sleep metabolic rate M(1) corresponding to a sleep duration of 1 hour. 标准 =0.7met.

[0076] Optionally, the processor determines the child's initial metabolic rate based on the child's age, including: the processor searching for the child's initial metabolic rate corresponding to the child's age from a second association relationship. This allows for full consideration of the differences in developmental status among children of different ages, and by finding the child's initial metabolic rate corresponding to the child's age based on the second association relationship, the standard adult sleep metabolic rate curve can be reasonably modified to obtain a sleep metabolic rate curve suitable for children of different ages.

[0077] Optionally, the second association may include one or more correspondences between a child's age and their initial metabolic rate. For example, Table 2 shows one such correspondence between a child's age and their initial metabolic rate, as shown in the table below:

[0078] Table 2

[0079] Age / years Initial sleep metabolic rate / met Age / years Initial sleep 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

[0080] Alternatively, the processor determines the value based on M(t). 儿童 =M(t) 标准 After obtaining the child's sleep metabolic rate curve by multiplying M0 / 0.7, the process further includes: the processor obtaining the child's recommended total sleep duration; and the processor correcting the child's sleep metabolic rate curve based on the child's recommended total sleep duration. Considering that children and adults differ not only in metabolic rate but also in the total duration of their sleep processes, with children typically having a longer total sleep duration than adults, this embodiment further obtains the child's recommended total sleep duration and corrects the aforementioned child's sleep metabolic rate curve accordingly, thereby improving the accuracy of generating the target sleep temperature curve.

[0081] Optionally, the processor obtains the child's recommended total sleep duration, including: the processor determines the child's recommended total sleep duration based on the child's historical total sleep duration. This allows the processor to combine the child's historical total sleep duration to determine the recommended total sleep duration. For example, the average of the child's total sleep duration over the past 7 days can be calculated and used as the child's recommended total sleep duration to ensure that the subsequent target sleep temperature curve conforms to the child's sleep patterns.

[0082] Optionally, the processor obtains the child's recommended total sleep duration, including: the processor determines the child's recommended total sleep duration based on the child's age. This allows the processor to combine the child's historical total sleep duration to determine the recommended total sleep duration. For example, the recommended total sleep duration can be determined based on the child's age to ensure that the subsequent target sleep temperature curve conforms to the child's sleep patterns.

[0083] Optionally, the processor determines the child's recommended total sleep duration based on the child's age, including: the processor based on t 总 = 10.14 - 5.56 × ((age / 10)) 0.5 -0.71), to obtain the recommended total sleep duration for children. Among them, t 总 The recommended total sleep duration for children is defined as 'age', where 'age' represents the child's age. Thus, by substituting the child's specific age, this embodiment of the disclosure can quickly calculate a suitable recommended total sleep duration for children to meet their sleep patterns at different developmental stages.

[0084] Optionally, the processor determines the recommended total sleep duration for the child based on their age, including: the processor searching for the recommended total sleep duration corresponding to the child's age from a third association relation. This fully considers the differences in developmental stages among children of different ages and finds the recommended total sleep duration corresponding to the child's age based on the third association relation, thus satisfying the sleep patterns of children at different developmental stages and improving the accuracy of generating the target sleep temperature curve.

[0085] Optionally, the third association may include one or more correspondences between a child's age and the child's recommended total sleep duration. For example, Table 3 shows one such correspondence between a child's age and the child's recommended total sleep duration, as shown in the table below:

[0086] Table 3

[0087] Age / years Recommended total sleep duration / h Age / years Recommended total sleep duration / h 3 11.4 8 9.5 4 10.9 9 9.2 5 10.5 10 8.9 6 10.1 11 8.6 7 9.8 12+ 8.5

[0088] Optionally, the processor adjusts the child's sleep metabolic rate curve based on the child's recommended total sleep duration, including: the processor adjusts the curve based on t 补 =t 总-8, obtain the child's sleep compensation duration; the processor determines the deep sleep start node and its corresponding child deep sleep metabolic rate value in the child's sleep metabolic rate curve; the processor inserts the child's sleep metabolic rate curve into the metabolic rate compensation curve, starting from the deep sleep start node, according to the child's sleep compensation duration and the child's deep sleep metabolic rate value. Where t 补 To compensate for children's sleep duration, t 总 Recommended total sleep duration for children. The horizontal axis of the metabolic rate compensation curve corresponds to the child's sleep compensation duration, and the vertical axis corresponds to the child's deep sleep metabolic rate.

[0089] Thus, this embodiment of the disclosure can calculate the duration of the excess of the recommended total sleep duration for children relative to the standard total sleep duration of 8 hours, thereby determining the sleep compensation duration that needs to be corrected. Then, the starting point of the deep sleep stage in the child's sleep metabolic rate curve is determined, and the corresponding deep sleep metabolic rate value is also determined. From the starting point of the deep sleep stage, this embodiment of the disclosure maintains the sleep metabolic rate at the child's deep sleep metabolic rate value and continues the sleep compensation duration to achieve a reasonable insertion into the metabolic rate compensation curve, thereby completing the correction of the child's sleep metabolic rate curve.

[0090] Optionally, the deep sleep start point is the time corresponding to t=1h in the child's sleep metabolic rate curve.

[0091] Optionally, the processor 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 processor 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.

[0092] 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.

[0093] 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.

[0094] 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, the standard ambient humidity can be set to 50%, that is, RH. 标 =50, to ensure children's comfortable sleep.

[0095] 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).

[0096] 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 .

[0097] Optionally, combined Figure 5As 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 5 Matching was performed to determine the target sleep temperature T corresponding to a sleep duration of 1 hour. a (1) = 26.6℃.

[0098] Optionally, after the processor corrects the child's target sleep temperature curve based on the child's sleep activity information, the method further includes: the processor controlling the air conditioner to adjust the indoor ambient temperature according to the corrected target sleep temperature curve. In this way, by controlling the air conditioner to continuously regulate the indoor ambient temperature according to the corrected target sleep temperature curve, this embodiment of the present disclosure can prevent children from catching a cold due to unsuitable indoor ambient temperatures during sleep, thus helping to protect children's sleep health.

[0099] Optionally, the processor controls the air conditioner to adjust the indoor ambient temperature according to the corrected target sleep temperature curve. This includes: at preset intervals, the processor matches the target sleep temperature corresponding to the duration of the child's sleep in the corrected target sleep temperature curve; the processor controls the operating parameters of the air conditioner according to the target sleep temperature to make the indoor ambient temperature approach the target sleep temperature. Thus, after correcting the child's target sleep temperature curve, this embodiment of the present disclosure can periodically match the target sleep temperature corresponding to the current sleep duration in the corrected target sleep temperature curve, and then reasonably adjust the operating parameters of the air conditioner, such as the compressor frequency and fan speed, according to the matched target sleep temperature. This allows the current indoor ambient temperature to 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.

[0100] Optionally, the preset duration can be set to 0.1 hours to ensure that the indoor temperature changes 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.

[0101] Combination Figure 6 As shown in the embodiments of this disclosure, another method for correcting a sleep temperature curve is provided, including:

[0102] S301, the processor acquires the child's target sleep temperature curve.

[0103] S302, the processor obtains the current indoor humidity.

[0104] The S303 processor adjusts the target sleep temperature curve for children based on the current indoor humidity.

[0105] The method for correcting a sleep temperature curve provided in this disclosure can generate a target sleep temperature curve that satisfies a child's thermal comfort. Then, the current indoor humidity is obtained to determine whether it has a substantial impact on the child's sleep comfort. If it is determined that the current indoor humidity significantly affects the child's sleep comfort, this disclosure appropriately corrects the child's target sleep temperature curve based on the current indoor humidity to generate a more reasonable target sleep temperature curve. This better ensures the child's sleep comfort and improves sleep quality.

[0106] Optionally, the processor adjusts the child's target sleep temperature curve based on the current indoor humidity. This includes: shifting the target sleep temperature curve downwards when the current indoor humidity exceeds the upper limit of the child's comfortable humidity range; or shifting the target sleep temperature curve upwards when the current indoor humidity is below the lower limit of the child's comfortable humidity range. Thus, when the current indoor humidity is higher than the child's comfortable humidity range, the child may experience stuffiness and discomfort during sleep. By shifting the target sleep temperature curve downwards, this embodiment can appropriately reduce the indoor temperature during the child's sleep, thereby reducing the impact of excessive humidity on the child's sleep comfort and improving sleep quality. Conversely, when the current indoor humidity is lower than the child's comfortable humidity range, the child may experience dryness and discomfort during sleep. By shifting the target sleep temperature curve upwards, this embodiment can appropriately increase the indoor temperature during the child's sleep, thereby reducing the impact of excessively low humidity on the child's sleep comfort and improving sleep quality.

[0107] Optionally, the processor controls the downward or upward shift of the child's target sleep temperature curve, including: the processor determining a target correction temperature for the target sleep temperature curve based on the absolute value of the difference between the current indoor humidity and the standard ambient humidity; and the processor controlling the child's target sleep temperature curve to shift downward or upward according to the target correction temperature. The standard ambient humidity is within the child's comfortable humidity range. This is because the standard ambient humidity is typically used when determining the child's target sleep temperature curve. This embodiment of the present disclosure can combine the absolute value of the difference between the current indoor humidity and the standard ambient humidity to determine the degree of discomfort the current indoor humidity causes to the child. Then, a suitable target correction temperature corresponding to the target sleep temperature curve is determined based on this, and the target sleep temperature curve is controlled to shift downward or upward according to this target correction temperature, thereby generating a more reasonable target sleep temperature curve to better ensure the child's sleep comfort and improve the child's sleep quality.

[0108] Optionally, the absolute value of the difference between the current indoor humidity and the standard indoor humidity is positively correlated with the target correction temperature. That is, the larger the absolute value of the difference between the current indoor humidity and the standard indoor humidity, the more the current indoor humidity deviates from the range of humidity comfortable for children, and the stronger the discomfort experienced by children. In this case, a relatively larger target correction temperature can be set to adjust the indoor temperature during children's sleep by a slightly larger margin, thereby minimizing the impact of excessively high or low humidity on children's sleep comfort and improving their sleep quality.

[0109] Optionally, the processor determines the target correction temperature for the target sleep temperature curve based on the absolute value of the difference between the current indoor humidity and the standard ambient humidity, including: the processor based on ΔT = 0.03|RH-RH 标 | Obtain the target correction temperature for the target sleep temperature curve. Where ΔT is the target correction temperature for the target sleep temperature curve, and RH is the current indoor humidity. 标 The standard ambient humidity is used. Thus, by substituting the current indoor ambient humidity, embodiments of this disclosure can quickly determine a suitable target correction temperature to facilitate reasonable correction of the target sleep temperature curve for children.

[0110] Specifically, the standard ambient humidity can be set to 50%, that is, RH. 标 =50, to ensure children's comfortable sleep.

[0111] Optionally, the processor determines the comfortable humidity range for children in the following way: the processor determines the comfortable humidity range for children based on their age. This fully considers the differences in developmental stages among children of different ages, determining the corresponding comfortable humidity range for each age group. This improves the accuracy of correcting the target sleep temperature curve, better ensuring the sleep comfort of children of different ages, and especially reducing the incidence of eczema in infants with thinner skin.

[0112] Optionally, the processor determines the child's comfortable humidity range based on the child's age, including: if the child's age falls within a first age range, the processor determines the child's comfortable humidity range as the first humidity range; or, if the child's age falls within a second age range, the processor determines the child's comfortable humidity range as the second humidity range; or, if the child's age falls within a third age range, the processor determines the child's comfortable humidity range as the third humidity range. Wherein, the upper limit of the first age range is less than the lower limit of the second age range, the upper limit of the second age range is less than the lower limit of the third age range, the first humidity range falls within the second humidity range, and the second humidity range falls within the third humidity range.

[0113] Thus, this embodiment of the disclosure can determine the appropriate humidity range for children of different ages. The younger the child, the thinner their stratum corneum, and the more significantly they are affected by indoor humidity conditions. Therefore, this embodiment of the disclosure can set a relatively smaller first humidity range for infants, a relatively moderate second humidity range for toddlers, and a relatively larger third humidity range for school-aged children. Consequently, this embodiment of the disclosure can reasonably limit the humidity conditions for correcting the target sleep temperature curve, making the correction process for the target sleep temperature curve of infants and toddlers easier to trigger, while making the correction process for the target sleep temperature curve of school-aged children relatively less likely to be triggered, thus better ensuring the sleep comfort of children of different ages.

[0114] Optionally, the first age range is [1 year, 3 years], which corresponds to the infant group; the second age range is [4 years, 6 years], which corresponds to the preschool group; and the third age range is [7 years, 12 years], which corresponds to the school-age children group.

[0115] Optionally, the first humidity range is [50%, 60%], the second humidity range is [45%, 65%], and the third humidity range is [40%, 70%], so as to better ensure the sleep comfort of children of different ages.

[0116] Combination Figure 7 As shown in the embodiments of this disclosure, another method for correcting a sleep temperature curve is provided, including:

[0117] S401, the processor acquires the child's target sleep temperature curve.

[0118] S402, the processor obtains the current season and the child's gender.

[0119] The S403 processor adjusts the child's target sleep temperature curve based on the current season and the child's gender.

[0120] Alternatively, in one example, seasons can be divided according to the astronomical solar altitude and the length of day and night. For example, summer is the season with the highest solar altitude and the longest daylight hours; winter, on the other hand, is the season with the lowest solar altitude and the 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 January and February of the following year as winter. This allows for precise determination of the current season.

[0121] Optionally, a child's gender can be determined using pre-stored user information. Alternatively, user images can be acquired, and their gender can be determined by performing feature recognition on the acquired images. This allows for accurate determination of the user's gender.

[0122] The method for correcting sleep temperature curves provided in this disclosure can accurately correct a child's target sleep temperature curve by combining the current season and the child's gender. This disclosure provides a more accurate sleep temperature curve, making the corrected curve more consistent with the actual changes in a child's sleep, thus providing a precise data basis for air conditioner control and meeting the child's sleep comfort needs.

[0123] Optionally, the processor corrects 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 processor corrects the child's target sleep temperature curve according to a first correction method; or, if the current season is winter and the child is female, the processor corrects the child's target sleep temperature curve according to a second correction method; or, if the current season is winter and the child is male, the processor corrects the child's target sleep temperature curve according to a third correction method.

[0124] In this embodiment, it is understood that gender has a significant impact on a child's thermoneutral temperature. Here, thermoneutral temperature refers to a comfortable temperature where 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 a child's thermoneutral temperature. For example, due to differences in ambient temperature, children's thermoneutral temperatures will differ between winter and summer. 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, in the case of summer and a female child, the processor shifts the child's target sleep temperature curve upwards by 0.5°C to correct it. In the case of winter and a female child, the processor shifts the target sleep temperature curve upwards by 1°C to correct it. In the case of winter and a male child, the processor shifts the target sleep temperature curve upwards by 0.5°C to correct it. Therefore, this embodiment makes the corrected sleep temperature curve more consistent with the actual changes in children's sleep patterns, facilitating the provision of a more targeted sleep temperature curve for children.

[0125] Combination Figure 8 As shown, this disclosure provides a control method for an air conditioner, including:

[0126] S501: When there are multiple users in the room where the air conditioner is located, the processor determines the age group information of each user.

[0127] S502, the processor determines the target user among multiple users based on priority information and the age group information of each user.

[0128] S503, the processor determines the target sleep temperature profile for the target user.

[0129] S504, the processor controls the air conditioner according to the target sleep temperature curve.

[0130] In this embodiment, the air conditioner can determine whether there are multiple users in the room where it is located through its associated image acquisition device or radar device. If multiple users are present, the air conditioner can retrieve the age information of the users stored within it. This allows for the determination of each user's age group information based on the age information. The user's age group information includes infants, toddlers, children, and adults. If a user's age is between 1 and 3 years old, the user's age group is determined to be an infant. If the user's age is between 4 and 6 years old, the user's age group is determined to be a toddler. If the user's age is between 7 and 12 years old, the user's age group is determined to be a school-aged child. This allows for accurate determination of each user's age group information based on their age data.

[0131] 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.

[0132] Optionally, the processor determines the target user among multiple users based on priority information and the age group information of each user, including: the processor sorts each user according to priority information and the age group information of each user to filter out the user with the highest priority; the processor uses this user as the target user among multiple users.

[0133] The age group information includes infants, toddlers, school-age children, and adults, and the priority information is infants > toddlers > school-age children > adults.

[0134] Understandably, younger users are more sensitive to the temperature in the room where the air conditioner is located. Therefore, this case adopts the principle of prioritizing the least sensitive users, setting the priority information as infants > toddlers > school-aged children > adults. This allows for prioritization of users based on their priority information and age group, thus identifying the highest-priority user. For example, if the age groups of three users in the room where the air conditioner is located are infants, toddlers, and school-aged children, then these three users can be prioritized, with the infants identified as the target user. This enables precise identification of the target user.

[0135] Optionally, the processor determines the target user among multiple users based on priority information and the age group information of each user, including: if the processor determines multiple users according to priority information and the age group information of each user and the multiple users all belong to the same age group, then the processor obtains the hyperactivity level of each user; the processor selects the user with the highest hyperactivity level among the multiple users and takes that user as the target user among the multiple users.

[0136] In this embodiment, 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. Specifically, the hyperactivity level of each user can be determined by acquiring the sleep activity information of multiple users. Acquiring the user's sleep activity information includes: acquiring the user's historical sleep activity amplitude and / or historical sleep activity frequency; and determining the child's sleep activity information based on the user's historical sleep activity amplitude and / or historical sleep activity frequency. Therefore, the user's activity patterns can be determined using the user's historical sleep activity amplitude and frequency, thereby determining the user's sleep activity information through the user's activity patterns.

[0137] Furthermore, the air conditioner can filter out the most active user from among multiple users and designate that user as the target user. Thus, 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.

[0138] Combination Figure 9 As shown, this disclosure provides a method for constructing a thermal comfort model, including:

[0139] S601, the processor obtains the heat generation value and heat dissipation value of children during sleep.

[0140] S602, the processor determines the target correction value based on the heat generation value and heat dissipation value of the child during sleep.

[0141] The S603 processor constructs a PMV model based on the child's sleep heat production value and target correction value.

[0142] In this embodiment, 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 dissipation value during sleep refers to the heat lost by a child to the environment through the skin, respiration, and other means during sleep.

[0143] The method for constructing a PMV model provided in this disclosure can accurately determine the target correction value by combining the child's sleep heat production value and the child's sleep heat dissipation value. Then, by combining the child's sleep heat production value and the target correction value, a PMV (Predicted Mean Vote) model is accurately constructed. This solves the drawback of existing PMV models that cannot represent the actual thermal comfort of children, facilitating a more accurate assessment of 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 their healthy growth in a comfortable environment.

[0144] Optionally, the processor can determine the heat dissipation value during a child's sleep in the following way: the processor acquires the thermal resistance of the bedding, the child's skin surface area, skin metabolic temperature, and environmental parameters; the processor determines the heat dissipation value during the child's sleep based on the thermal resistance of the bedding, the child's skin surface area, skin metabolic temperature, and environmental parameters. The thermal resistance of the bedding is determined through characteristic parameters of the bedding, including the thermal resistance of the pajamas, sleeping bag, coverings, and mattress. Environmental parameters include the target ambient temperature and the partial pressure of water vapor in the air. This allows for the accurate determination of the heat dissipation value during a child's sleep.

[0145] Optionally, the processor determines the child's sleep heat dissipation value based on bedding thermal resistance, child's skin surface area, skin metabolic temperature, and environmental parameters, including: the processor based on M 散 =[(T sk -T a )+0.376×(5.52-P a )] / R T +[0.13×(34-T a )+1.52×(5.52-P a )] / A D To determine the heat dissipation value during children's sleep. 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.

[0146] Therefore, considering 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.

[0147] 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.

[0148] In this embodiment, the optimal range and step size of the ambient temperature can be stored in the air conditioner in advance, taking into account actual conditions. As an example, the optimal range of the ambient temperature is 18℃ to 30℃. Furthermore, the optimization step size is set considering the accuracy and resolution of the air conditioner. For example, 0.5℃ can be set as the optimization step size. Thus, the possible values ​​for the target ambient temperature can be determined according to the optimal range and the set optimization step size: 18℃, 18.5℃, 19℃, 19.5℃...28.5℃, 29℃, 29.5℃, and 30℃. Then, all possible values ​​of the optimal range can 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 the child's 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. Therefore, the target ambient temperature can be accurately determined.

[0149] Optionally, the processor can determine the child's sleep caloric value in the following ways: the processor acquires the user's sleep duration and standard sleep metabolic rate curve; the processor matches the standard metabolic rate to the standard sleep metabolic rate curve based on the user's sleep duration; the processor determines the child's initial metabolic rate based on the child's age; and the processor determines the child's sleep caloric value based on the standard metabolic rate and the child's initial metabolic rate. Thus, personalized caloric values ​​can be determined based on sleep duration and the child's age, achieving accurate determination of the child's sleep caloric value.

[0150] Optionally, the processor determines the child's sleep thermic value based on the standard metabolic rate and the child's initial metabolic rate, including: the processor based on M 产 =M(t) 标准 ×M0 / 0.7, determine the thermic value during children's sleep. Where M... 产 The heat production value during children's sleep, M(t). 标准 M0 represents the standard metabolic rate, and M0 represents the initial metabolic rate in children. It should be noted that when determining the thermic output during sleep in children, the metabolic rate during sleep should be converted to a different unit. Specifically, it can be multiplied by a metabolic rate unit conversion factor a2, where a2 = 58.2. The metabolic rate unit conversion factor reflects the following relationship: 1 met = 58.2 W / m³. 2 .

[0151] Optionally, after the processor obtains the child's sleep heat generation and heat dissipation values, it can combine these values ​​to determine a target correction value. Here, the processor determines the target correction value based on the child's sleep heat generation 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 enables accurate determination of the target correction value.

[0152] Optionally, the processor determines the target correction value based on the child's sleep heat production value and the child's sleep heat dissipation value, including: the processor determines the target correction value based on TL = MIN(|M 产 -M 散 |), determine the target correction value. In this embodiment, TL is the target correction value, M 产 M is the caloric value generated during children's sleep. 散 The target correction value is determined based on 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 sleeping child is approaching a state of thermal equilibrium. Therefore, this embodiment uses minimizing the difference between the heat production and heat dissipation of a sleeping child as the benchmark for setting the target correction value. This allows for the accurate determination of the target correction value.

[0153] Optionally, the processor constructs a PMV model based on the child's sleep heat production value and the target correction value, including: the processor determines an initial child sleep comfort model based on the child's sleep heat production value; the processor corrects the initial child sleep comfort model based on the target correction value to obtain the PMV model.

[0154] Here, the initial children's sleep comfort model includes PMV. 初始 =0.303exp(-0.036×M) 产 +0.0275. Wherein, 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.

[0155] Therefore, when the initial children's sleep comfort model is insufficient to accurately reflect children's thermal comfort, the difference between children's sleep heat production value and children's sleep heat dissipation value can be introduced as a correction value. This can more intuitively and accurately reflect children's actual heat exchange, help to more accurately predict children's thermal comfort, and improve the accuracy of PMV model prediction.

[0156] Furthermore, the processor 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.

[0157] Optionally, the processor modifies the initial child sleep comfort model based on the target correction value to obtain the PMV model, including: the processor modifies the model based on PMV = [0.303exp(-0.036×M]. 产 [(0.0275) + 0.0275] × TL, yielding the PMV model. Where M... 产 The value represents the thermic value during children's sleep, and TL is the target correction value.

[0158] Therefore, when the initial children's sleep comfort model is insufficient to accurately reflect children's thermal comfort, the difference between children's sleep heat production value and children's sleep heat dissipation value can be introduced as a correction value. This can more intuitively and accurately reflect children's actual heat exchange, help to more accurately predict children's thermal comfort, and improve the accuracy of PMV model prediction.

[0159] Combination Figure 10 As shown, this disclosure provides an apparatus 100 for correcting a sleep temperature curve, including a processor 101 and a memory 102. Optionally, the apparatus 100 may further include a communication interface 103 and a bus 104. The processor 101, communication interface 103, and memory 102 can communicate with each other via the bus 104. The communication interface 103 can be used for information transmission. The processor 101 can call logical instructions in the memory 102 to execute the method for correcting a sleep temperature curve described in the above embodiment.

[0160] Furthermore, the logical instructions in the aforementioned memory 102 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0161] The memory 102, 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 101 executes functional applications and data processing by running the program instructions / modules stored in the memory 102, that is, it implements the method for correcting the sleep temperature curve in the above embodiments.

[0162] The memory 102 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 102 may include high-speed random access memory and may also include non-volatile memory.

[0163] Combination Figure 11 As shown, this disclosure provides an air conditioner, including: an air conditioner body 200, and the aforementioned device 100 for correcting a sleep temperature curve. The device 100 for correcting a sleep temperature curve is installed in the air conditioner body 200. The installation relationship described herein is not limited to placement inside the air conditioner body 200, but also includes installation connections with other components of the air conditioner, including but not limited to physical connections, electrical connections, or signal transmission connections. Those skilled in the art will understand that the device 100 for correcting a sleep temperature curve can be adapted to feasible product bodies to achieve other feasible embodiments.

[0164] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for correcting a sleep temperature curve.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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 modifying a sleep temperature profile, characterized in that, The method comprises: obtaining a target sleep temperature curve of the child; obtaining sleep activity information of the child; correcting the target sleep temperature curve of the child according to the sleep activity information of the child.

2. The method of claim 1, wherein, The correcting the target sleep temperature curve of the child according to the sleep activity information of the child comprises: controlling the target sleep temperature curve of the child to be upwardly translated when the sleep activity information of the child indicates that the child is sleep active.

3. The method of claim 2, wherein, The controlling the target sleep temperature curve of the child to be upwardly translated comprises: determining a sleep activity level of the child according to the sleep activity information of the child; determining a target correction strategy of the target sleep temperature curve according to the sleep activity level of the child; the target correction strategy comprises a target correction temperature and a target correction period; controlling the target sleep temperature curve of the child to be upwardly translated according to the target correction strategy.

4. The method of claim 3, wherein, The determining the target correction strategy of the target sleep temperature curve according to the sleep activity level of the child comprises: determining the target correction strategy to be correcting the target sleep temperature curve of the child according to a third correction temperature within a first correction period when the sleep activity level of the child is a first activity level; or determining the target correction strategy to be correcting the target sleep temperature curve of the child according to the third correction temperature within a second correction period when the sleep activity level of the child is a second activity level; wherein the first activity level is less than the second activity level, and the first correction period is within the second correction period.

5. The method of claim 3, wherein, The determining the target correction strategy of the target sleep temperature curve according to the sleep activity level of the child comprises: determining the target correction strategy to be correcting the target sleep temperature curve of the child according to a first correction temperature within a third correction period when the sleep activity level of the child is the first activity level; or determining the target correction strategy to be correcting the target sleep temperature curve of the child according to a second correction temperature within the third correction period when the sleep activity level of the child is the second activity level; wherein the first activity level is less than the second activity level, and the first correction temperature is less than the second correction temperature.

6. The method according to any one of claims 1 to 5, characterized in that, The obtaining the sleep activity information of the child comprises: obtaining a historical sleep activity amplitude and / or a historical sleep activity frequency of the child; determining the sleep activity information of the child according to the historical sleep activity amplitude and / or the historical sleep activity frequency of the child.

7. The method according to any one of claims 1 to 5, characterized in that, The obtaining the target sleep temperature curve of the child comprises: obtaining a child characteristic parameter, a bedding characteristic parameter and a child sleep metabolic rate curve; determining the target sleep temperature curve of the child according to the child characteristic parameter, the bedding characteristic parameter and the child sleep metabolic rate curve.

8. The method according to any one of claims 1 to 5, characterized in that, After the correcting the target sleep temperature curve of the child according to the sleep activity information of the child, the method further comprises: controlling the air conditioner to adjust an indoor environment temperature according to the corrected target sleep temperature curve.

9. An apparatus for modifying a sleep temperature profile, comprising a processor and a memory having stored therein program instructions, the apparatus characterized by: The processor is configured to execute the program instructions to implement the method for correcting a sleep temperature curve according to any one of claims 1 to 8.

10. An air conditioner characterized by comprising: The device comprises: an air conditioner body; the device for correcting a sleep temperature curve according to claim 9 is installed on the air conditioner body.

11. A computer readable storage medium storing program instructions, wherein the program instructions comprise instructions for causing a computer to perform the method of any one of claims 1-10. The program instructions, when executed, cause the computer to perform the method for correcting a sleep temperature profile according to any one of claims 1 to 8.

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