An air conditioner temperature adjustment method and device, an air conditioner, and a storage medium

Abstract

The application discloses an air conditioner temperature adjusting method and device, an air conditioner and a storage medium. The method comprises the following steps: receiving temperature feedback information, determining an information feedback time period corresponding to the temperature feedback information; determining an average metabolic fluctuation value of a target object according to environmental characteristic information and object sign information collected in the information feedback time period; determining an expected temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information; and adjusting an initial operation temperature of the air conditioner according to the expected temperature adjustment value. The embodiment can receive a temperature feedback evaluation of a user for the initial operation temperature of the air conditioner, and combine the sign information of the user in the corresponding time period to timely adjust the operation temperature of the air conditioner, so that the user is always in a more comfortable environment temperature, and the problem that the existing air conditioner is always operated in a fixed mode, the user is always in an overcooling or overheating experience, the comfort is low, and the health of the user is affected is solved.

Description

Technical Field

[0001] This application relates to the field of intelligent device design technology, and in particular to an air conditioning temperature regulation method, device, air conditioner and storage medium. Background Technology

[0002] As people's living standards continue to improve, home appliances are gradually developing towards intelligence. At the same time, people are paying more and more attention to health issues. As an indispensable home appliance in modern families, whether air conditioners can meet the user's physical needs during operation is an important factor for many consumers.

[0003] Current air conditioners typically operate based on a user-set temperature or adjust to a fixed mode based on the difference between the set and actual temperatures. Neither of these modes adequately considers individual human comfort needs. In environments with special populations such as mothers and infants or the elderly, users have significantly different temperature requirements, which air conditioners cannot adaptively adjust to. Furthermore, different sleep stages require different temperatures for comfort. Operating the air conditioner in a fixed mode can easily leave users in a state of constant discomfort, either too cold or too hot, reducing sleep comfort and potentially causing headaches, colds, and other health problems. Summary of the Invention

[0004] This application provides an air conditioning temperature regulation method, device, air conditioner, and storage medium to achieve intelligent regulation of the air conditioner's operating temperature and meet the comfort temperature needs of different groups of people under different conditions.

[0005] According to one aspect of this application, an air conditioning temperature adjustment method is provided, the method comprising:

[0006] Receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information;

[0007] Based on the environmental characteristic information and object vital sign information collected during the information feedback period, the average metabolic fluctuation value of the target object is determined.

[0008] Based on the temperature feedback information, determine the expected temperature adjustment value corresponding to the average metabolic fluctuation value;

[0009] Adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0010] According to another aspect of this application, an air conditioning temperature regulating device is provided, the device comprising:

[0011] The feedback information receiving module is used to receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information.

[0012] The metabolic fluctuation value determination module is used to determine the average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected within the information feedback time period.

[0013] The temperature adjustment value determination module is used to determine the desired temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information.

[0014] The desired temperature adjustment module is used to adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0015] According to another aspect of this application, an air conditioner is provided, the air conditioner comprising:

[0016] Signal acquisition devices are used to collect environmental characteristic information and object vital signs information;

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the air conditioning temperature adjustment method according to any embodiment of this application.

[0020] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the air conditioning temperature adjustment method according to any embodiment of this application.

[0021] The technical solution of this application embodiment receives temperature feedback information and determines the information feedback time period corresponding to the temperature feedback information; determines the average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected within the information feedback time period; determines the expected temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information; and adjusts the initial operating temperature of the air conditioner according to the expected temperature adjustment value. This solves the problem that existing air conditioners operate in a fixed mode, which easily causes users to be in an experience of being too cold or too hot, resulting in low comfort and affecting the user's health. This embodiment can receive temperature feedback evaluation from users regarding the initial operating temperature of the air conditioner, and combine it with the user's vital sign information within the corresponding time period to adjust the operating temperature of the air conditioner in a timely manner, so that users are always in a more comfortable environmental temperature.

[0022] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of an air conditioning temperature adjustment method according to an embodiment of this application;

[0025] Figure 2 This is a flowchart of another air conditioning temperature adjustment method provided according to an embodiment of this application;

[0026] Figure 3 This is a flowchart of another air conditioning temperature adjustment method provided according to an embodiment of this application;

[0027] Figure 4 This is a schematic diagram of the structure of an air conditioning temperature regulating device according to an embodiment of this application;

[0028] Figure 5 This is a schematic diagram of the structure of an air conditioner that implements the air conditioning temperature regulation method of the embodiments of this application. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0030] It should be noted that the terms "first," "second," "initial," "target," etc., used in the specification, claims, and accompanying drawings of this application 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 so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] Figure 1 This application provides a flowchart of an air conditioner temperature adjustment method. This embodiment is applicable to situations where the air conditioner's operating temperature is intelligently adjusted. The method can be executed by an air conditioner temperature adjustment device, which can be implemented in hardware and / or software and can be configured within the air conditioner. Figure 1 As shown, the method includes:

[0032] S110. Receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information.

[0033] In this embodiment, temperature feedback information can be understood as the user's evaluation of the current temperature. For example, a user may provide feedback that the current air conditioner is too cold or too hot. This temperature feedback information can be generated and sent to the air conditioner by the user via an air conditioner remote control or other smart devices. Typically, most air conditioners in daily life are equipped with a signal receiver. In the air conditioner temperature adjustment method provided in this embodiment, the temperature feedback information can be received by the signal receiver in the air conditioner.

[0034] In this embodiment, the user can be prompted to provide feedback on their experience after the air conditioner has been running for a certain period of time. For example, after the air conditioner has been running for 30 minutes or 1 hour, the user is prompted on the air conditioner remote control or other smart devices connected to the air conditioner to input their evaluation of the current operating temperature. The air conditioner remote control or other smart devices generate temperature feedback information based on the user's evaluation and send it to the air conditioner. The air conditioner's signal receiver receives the temperature feedback information and can then transmit it to the air conditioner's temperature control device. Specifically, if the user does not input any temperature evaluation within a certain period of time, it can be assumed that the user feels the current operating temperature of the air conditioner is ideal. It is understood that even without being prompted to evaluate the air conditioner's operating temperature, the user can still provide temperature feedback at any time.

[0035] Upon receiving temperature feedback information, the corresponding feedback time period can be calculated based on the feedback time of the temperature feedback information. The feedback time period can be predetermined by the air conditioner designer or modified by the user. In practical applications, a preset time period preceding the temperature feedback information's initial time can be defined as the corresponding feedback time period; for example, 30 minutes prior to the formation of the temperature feedback information can be used as the feedback time period.

[0036] S120. Based on the environmental characteristic information and subject vital sign information collected during the information feedback period, determine the average metabolic fluctuation value of the target subject.

[0037] In this embodiment, a signal collector can be installed on the air conditioner. This collector can collect environmental characteristic information and receive vital sign information of the target. The vital sign information can be collected by a smart device worn by the user. When collecting vital sign information, the user needs to be informed of the type of information being collected and its intended use. After obtaining the user's authorization and consent, the information can be collected and sent to the air conditioner. The target target can be understood as the air conditioner user wearing a smart device connected to the air conditioner's signal collector. Environmental characteristic information can be understood as environmental parameter information within the air conditioner's cooling or heating range, such as ambient temperature, air humidity, and airflow rate. Vital sign information can be understood as the target object's vital sign parameter information, such as the target object's body surface temperature, heart rate, respiration, and pulse.

[0038] During air conditioning operation, environmental characteristic information and object vital signs information can be periodically collected at a preset collection frequency. Upon receiving temperature feedback information, the air conditioning temperature control device can acquire all environmental characteristic information and object vital signs information collected within the feedback period. Based on the environmental characteristic information and object vital signs information within the feedback period, it can analyze and calculate the average metabolic fluctuation value of the target object within the feedback period.

[0039] In this embodiment, the average metabolic fluctuation value can be understood as the average value of the metabolic difference between the real-time metabolic rate of the target object and the basal metabolic rate of the target object at rest during the information feedback period.

[0040] S130. Determine the expected temperature adjustment value corresponding to the average metabolic fluctuation value based on temperature feedback information.

[0041] Generally, when the human body is in a relatively comfortable environment, its real-time metabolic rate is closer to its basal metabolic rate. In this embodiment, the average metabolic fluctuation value of the target object can be used to reflect the comfort level of the target object at the current air conditioning operating temperature. For example, a larger average metabolic fluctuation value indicates poorer comfort at the current air conditioning operating temperature, while a smaller average metabolic fluctuation value indicates better comfort. Therefore, a mapping relationship between the average metabolic fluctuation value and the desired temperature adjustment value can be preset. When the average metabolic fluctuation value of the target object is determined, the corresponding desired temperature adjustment value can be calculated.

[0042] S140. Adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0043] The initial operating temperature can be understood as the operating temperature of the air conditioner before receiving temperature feedback information.

[0044] The purpose of the air conditioning temperature adjustment method provided in this embodiment is to adjust the operating temperature of the air conditioner to a more ideal and comfortable temperature for the target object. The desired temperature adjustment value is determined based on the average metabolic fluctuation value of the target object during the information feedback period. Therefore, the initial operating temperature can be adjusted according to the desired temperature adjustment value to obtain a more ideal air conditioning operating temperature for the target object.

[0045] This embodiment of the application receives temperature feedback information, determines the information feedback time period corresponding to the temperature feedback information, determines the average metabolic fluctuation value of the target object based on the environmental characteristic information and the object's physical characteristics information collected within the information feedback time period, determines the expected temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information, and adjusts the initial operating temperature of the air conditioner according to the expected temperature adjustment value. This solves the problem that existing air conditioners operate in a fixed mode, which easily makes users feel that the temperature is too cold or too hot, resulting in low comfort and affecting the user's health. This embodiment can receive temperature feedback evaluation from users on the initial operating temperature of the air conditioner, and combine it with the user's physical characteristics information within the corresponding time period to adjust the operating temperature of the air conditioner in a timely manner, so that users are always in a more comfortable environmental temperature.

[0046] Figure 2 This application provides a flowchart of yet another air conditioning temperature adjustment method, which further optimizes the above-described air conditioning temperature adjustment method based on the previous embodiments. Figure 2 As shown, the method includes:

[0047] S210. Receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information.

[0048] In this embodiment, a preset time period preceding the receiving time of the temperature feedback information can be defined as the information feedback time period corresponding to the temperature feedback information. Specifically, the receiving time of the temperature feedback information can be used as the end time of the information feedback time period, and the preset time period preceding the end time is the information feedback time period. The preset time period, i.e., the length of the information feedback time period, can be determined and adjusted according to the specific scenario, and can be set to 20 minutes, 30 minutes, or 1 hour.

[0049] S220. Obtain environmental characteristic information and object vital sign information collected at least at two information collection times within the information feedback period.

[0050] In this embodiment, environmental feature information and object physical characteristics information can be collected periodically at a preset collection frequency. During the information feedback period, environmental feature information and object physical characteristics information need to be collected at least at two different times.

[0051] S230. Based on environmental feature information and object vital sign information at two different information collection times, determine the heart rate and metabolic relationship of the target object.

[0052] Among them, environmental characteristic information may include ambient temperature and relative humidity; the subject's physical characteristics information may include body surface temperature, sweating rate, and heart rate.

[0053] In this embodiment, two different information collection times can be selected from the information collection times within the information feedback time period, and the heart rate metabolism relationship of the target object can be calculated based on the environmental feature information and object vital sign information collected at the two selected information collection times.

[0054] In one embodiment, S230 can be specifically implemented through the following steps:

[0055] S2301. Determine the basal metabolic rate and basal heart rate of the target object based on the target object's group label.

[0056] In this embodiment, when the target user uses the air conditioner for the first time, they can select a target group label that matches their own characteristics. Target group labels can include labels for the elderly, middle-aged and young adults, and minors, etc. Since there are certain differences in basal metabolic rate and basal heart rate among different groups, the target user's basal metabolic rate and basal heart rate can be determined based on the target user's target group label.

[0057] S2302. Determine the measurement time of the first metabolic relationship and the measurement time of the second metabolic relationship from the information collection times.

[0058] In this embodiment, to ensure more accurate calculation of the unit metabolic heart rate change value, two information collection times with relatively long time intervals can be selected as the first and second metabolic relationship measurement times. For example, the first information collection time within the information feedback period can be selected as the first metabolic relationship measurement time, and the last information collection time within the information feedback period can be selected as the second metabolic relationship measurement time.

[0059] S2303. Based on the first environmental feature information and the first subject's vital signs information collected at the first metabolic relationship measurement time, and the second environmental feature information and the second subject's vital signs information collected at the second metabolic relationship measurement time, determine the unit metabolic heart rate change value of the target subject.

[0060] In this embodiment, after selecting and determining the first and second metabolic relationship measurement times, the environmental characteristic information and subject vital sign information collected at the first metabolic relationship measurement time can be recorded as the first environmental characteristic information and the first subject vital sign information, and the environmental characteristic information and subject vital sign information collected at the second metabolic relationship measurement time can be recorded as the second environmental characteristic information and the second subject vital sign information. Based on the first environmental characteristic information, the first subject vital sign information, the second environmental characteristic information, and the second subject vital sign information, combined with the correspondence between metabolic rate and heart rate, the unit metabolic heart rate change value of the target subject is obtained.

[0061] Furthermore, S2303 can be specifically implemented through the following steps:

[0062] S23031. Based on the first ambient temperature and the first relative humidity in the first environmental characteristic information, and the first body surface temperature and the first sweating rate in the first object physical characteristics information, determine the workload of the first object at the first metabolic relationship measurement time.

[0063] S23032. Based on the second ambient temperature and the second ambient relative humidity in the second environmental characteristic information, and the second body surface temperature and the second sweating rate in the second subject physical characteristics information, determine the workload of the second subject at the second metabolic relationship measurement time.

[0064] In this embodiment, the workload of the target object under different environmental and physiological states can satisfy the following relationship:

[0065] MWC = αΔT + βH

[0066] Where MWC represents the workload, and ΔT can be calculated based on the ambient temperature and body surface temperature, satisfying ΔT = T 体表 -T 环温 T 体表 It can represent the surface temperature of the target object, T 环温 The ambient temperature (H) can be represented by environmental characteristic information. H can be calculated based on the perspiration rate and relative humidity, satisfying H = H0. 出汗 +εRH,H 出汗 It can represent the sweating rate of the target object, RH can represent the relative humidity of the environment in the environmental characteristic information, and α, β, ε can represent the corresponding relationship coefficients.

[0067] Based on the above relationship, the first object workload MWC1 of the target object at the first metabolic relationship measurement time and the second object workload MWC2 of the target object at the second metabolic relationship measurement time can be calculated.

[0068] S23033. Based on the workload of the first object, the workload of the second object, the first heart rate value in the vital signs information of the first object, and the second heart rate value in the vital signs information of the second object, determine the unit metabolic heart rate change value of the target object.

[0069] In this embodiment, the unit metabolic heart rate change value RW can satisfy the following relationship:

[0070]

[0071] Here, HR1 can represent the first heart rate value in the vital signs information of the first subject, and HR2 can represent the second heart rate value in the vital signs information of the second subject.

[0072] S2304. Substitute the basal metabolic rate, basal heart rate, and change in heart rate per unit of metabolic rate into the preset heart rate-metabolic relationship expression to obtain the heart rate-metabolic relationship of the target object.

[0073] In this embodiment, the heart rate-metabolic relationship M can satisfy the following relationship:

[0074]

[0075] Where M0 can represent the target object's basal metabolic rate, HR0 can represent the target object's basal heart rate, and HR can represent the target object's real-time heart rate value.

[0076] For example, the basal metabolic rate M0 corresponding to objects in different object groups can be represented as:

[0077]

[0078] Where M′=55W / m 2 .

[0079] When the target population is labeled as elderly, the basal metabolic rate of the target population can be taken as 44 W / m². 2 .

[0080] With a baseline heart rate HR0 = 62, α = 3.5, β = 7.5, and ε = 10, ΔT1 = 10℃ was calculated based on the first ambient temperature and first body surface temperature collected at the first metabolic relationship measurement time. The first sweat rate collected at the first metabolic relationship measurement time was 6 ml / (min·m). 2 The first heart rate was 90, and the first ambient relative humidity was 70%. The second ambient temperature and second body surface temperature collected at the second metabolic relationship measurement time were used to calculate ΔT2 = 10℃. The second sweat rate collected at the second metabolic relationship measurement time was 10 ml / (mi). 2 n, second heart rate 120, second ambient relative humidity 70%. At this time,

[0081] MWC1=3.5×10+7.5×(6+10×70%)=132.5,

[0082] MWC2=3.5×10+7.5×(10+10×70%)=162.5,

[0083]

[0084] Therefore, the heart rate-metabolic relationship of the target subject can be expressed as:

[0085] S240. Based on the heart rate-metabolic relationship and the heart rate values ​​in the vital signs information of each subject, determine the real-time metabolic rate at each information collection time.

[0086] In this embodiment, the heart rate values ​​collected at each information collection time within the information feedback period can be substituted into the heart rate-metabolic relationship determined in S230 to obtain the corresponding real-time metabolic rate.

[0087] S250. Based on each real-time metabolic rate, determine the average metabolic fluctuation value of the target object during the information feedback period.

[0088] In this embodiment, the difference between the real-time metabolic rate and the target object's basal metabolic rate can be used as the target object's metabolic fluctuation value. The average metabolic fluctuation value corresponding to all information collection moments within the information feedback period is the target object's average metabolic fluctuation value within the information feedback period. Alternatively, the average real-time metabolic rate corresponding to all information collection moments within the information feedback period can be calculated first, and the difference between the average real-time metabolic rate and the target object's basal metabolic rate can be determined as the average metabolic fluctuation value.

[0089] S260. Determine the temperature adjustment formula matching the temperature feedback information, wherein the temperature adjustment formula includes a temperature adjustment base and at least one temperature adjustment parameter.

[0090] In this embodiment, temperature feedback information can be divided into moderate temperature feedback, overly cold temperature feedback, and overly hot temperature feedback. Moderate temperature feedback can be understood as the feedback evaluation made when the target object considers the current air conditioner operating temperature to be relatively comfortable; overly cold temperature feedback can be understood as the feedback evaluation made when the target object considers the current air conditioner operating temperature to be low; and overly hot temperature feedback can be understood as the feedback evaluation made when the target object considers the current air conditioner operating temperature to be high.

[0091] In one embodiment, S260 may include the following three cases:

[0092] 1) When the temperature feedback information is moderate temperature feedback, the temperature adjustment relationship matched by the temperature feedback information is the first temperature adjustment relationship;

[0093] 2) When the temperature feedback information is overcooling feedback, the temperature adjustment formula matched with the temperature feedback information is the second temperature adjustment formula;

[0094] 3) When the temperature feedback information is overheating feedback, the temperature adjustment relationship matched by the temperature feedback information is the third temperature adjustment relationship.

[0095] Among them, when the temperature adjustment base is equal, the expected temperature adjustment value determined according to the first temperature adjustment formula is greater than the expected temperature adjustment value determined according to the second temperature adjustment formula, and less than the expected temperature adjustment value determined according to the third temperature adjustment formula.

[0096] For example, when the temperature feedback information is moderate temperature feedback, the first temperature adjustment relationship corresponding to the temperature feedback information can be expressed as:

[0097] Δt=0.0006ω 3 +14e -19 ω 2 -0.2608ω

[0098] Among them, 0.0006, 14e -19 -0.2608 are the three temperature adjustment parameters of the first temperature adjustment formula, and ω is the temperature adjustment base of the first temperature adjustment formula.

[0099] When the temperature feedback information is moderate, the corresponding second temperature adjustment formula can be expressed as:

[0100] Δt=0.0006ω 3 +4e -19 ω 2 -0.2846ω

[0101] Among them, 0.0006, 4e -19 -0.2846 are the three temperature adjustment parameters of the second temperature adjustment formula, and ω is the temperature adjustment base of the second temperature adjustment formula.

[0102] When the temperature feedback information is moderate, the corresponding third temperature adjustment formula can be expressed as:

[0103] Δt=0.0006ω 3 +4e -19 ω 2 -0.2318ω

[0104] Among them, 0.0006, 4e -19-0.2318 are the three temperature adjustment parameters of the third temperature adjustment formula, and ω is the temperature adjustment base of the third temperature adjustment formula.

[0105] S270. Based on the average metabolic fluctuation value, determine the adjustment base value corresponding to the temperature adjustment base.

[0106] In one embodiment, S270 can be specifically implemented through the following steps:

[0107] S2701. Obtain the basal metabolic rate of the target object.

[0108] S2702. Determine the metabolic fluctuation ratio based on the average metabolic fluctuation value and the basal metabolic rate.

[0109] In this embodiment, the metabolic fluctuation ratio δ can satisfy the following relationship:

[0110]

[0111] Here, ΔM can represent the average metabolic fluctuation value of the target object during the information feedback period.

[0112] After determining the metabolic fluctuation ratio, S2703, S2704 or S2705 can be performed depending on the situation.

[0113] S2703. When the absolute value of the metabolic fluctuation ratio is less than or equal to the preset fluctuation ratio threshold, the adjustment base corresponding to the temperature adjustment base is taken as the metabolic fluctuation ratio.

[0114] S2704. When the metabolic fluctuation ratio is greater than the preset fluctuation ratio threshold, the adjustment base value is set to the preset fluctuation ratio threshold.

[0115] S2705. When the metabolic fluctuation ratio is less than the negative of the preset fluctuation ratio threshold, the adjustment base value is the negative of the preset fluctuation ratio threshold.

[0116] For example,

[0117] If the preset volatility ratio threshold is 10%, then...

[0118] When |δ|≤10%, temperature adjustment base

[0119] When δ > 10%, temperature adjustment base

[0120] When δ < -10%, the temperature adjustment base ω = -10%.

[0121] S280. Substitute the adjustment base value into the temperature adjustment formula to determine the desired temperature adjustment value.

[0122] In this embodiment, after determining the adjustment base value of the temperature adjustment base, the adjustment base value is substituted into the temperature adjustment relationship formula that matches the temperature feedback information, and the desired temperature adjustment value can be calculated.

[0123] S290. Adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0124] For example, when the average metabolic fluctuation value of the target object during the information feedback period is 3.6% higher than the target object's basal metabolic rate, the desired temperature adjustment value is -0.5℃, and the air conditioner temperature can be lowered by 0.5℃.

[0125] The technical solution of this application embodiment, by receiving temperature feedback information, determines the information feedback time period corresponding to the temperature feedback information by pre-setting a time period backward from the time of receiving the temperature feedback information; acquires environmental feature information and object vital sign information collected at least two information collection times within the information feedback time period; based on the environmental feature information and object vital sign information at two different information collection times, determines the heart rate metabolic relationship of the target object; based on the heart rate metabolic relationship and the heart rate value in each object's vital sign information, determines the real-time metabolic rate at each information collection time; based on each real-time metabolic rate, determines the average metabolic fluctuation value of the target object within the information feedback time period; determines the temperature adjustment relationship matching the temperature feedback information; and based on the average metabolic fluctuation value... The adjustment base value corresponding to the temperature adjustment base is determined, and the adjustment base value is substituted into the temperature adjustment formula to determine the desired temperature adjustment value. The initial operating temperature of the air conditioner is adjusted according to the desired temperature adjustment value. This solves the problem that existing air conditioners operate in a fixed mode, which easily causes users to be in an experience of being too cold or too hot, resulting in low comfort and affecting the user's health. This embodiment can receive the user's temperature feedback evaluation of the initial operating temperature of the air conditioner, obtain the user's vital signs information in the corresponding time period, and determine the user's current preferred air conditioner operating temperature adjustment value based on the user's vital signs and temperature feedback evaluation. The air conditioner operating temperature is then adjusted in a timely manner so that the user is always in a more comfortable ambient temperature.

[0126] Figure 3 This application provides a flowchart of an air conditioning temperature adjustment method, which further optimizes the above-described air conditioning temperature adjustment method based on the previous embodiment. Figure 3 As shown, the method includes:

[0127] S310. In response to the sleep mode operation command, determine the initial operating temperature and control the air conditioner to operate based on the initial operating temperature, wherein the initial operating temperature is determined according to the set sleep temperature in the sleep mode operation command, or the initial operating temperature is determined according to the environmental characteristic information and object vital sign information collected during the initial operating time period.

[0128] In daily life, once people fall asleep, the air conditioner's operating temperature cannot be adjusted in time, even if it is too low or too high. Therefore, before going to sleep, the air conditioner user can turn on the sleep mode. The air conditioner temperature adjustment method provided in this embodiment can be activated upon receiving the sleep mode operation command.

[0129] When a sleep mode operation command is received, the initial operating temperature of the air conditioner in sleep mode can be determined first, and the air conditioner can be controlled to cool or heat based on that initial operating temperature.

[0130] In one embodiment, the initial operating temperature can be determined in the following two ways:

[0131] 1) When the received sleep mode operation command includes setting the sleep temperature, the set sleep temperature will be determined as the initial operation temperature.

[0132] In this embodiment, when sending a sleep mode operation command, the air conditioner user can select a temperature value as the set sleep temperature and send it to the air conditioner along with the sleep mode operation command. When the sleep mode operation command is received, it can be parsed. If the sleep mode operation command includes a set sleep temperature, the set sleep temperature can be determined as the initial operating temperature. The set sleep temperature can also be a temperature parameter saved from the last time the air conditioner was used.

[0133] 2) When the received sleep mode operation command does not include the set sleep temperature, control the air conditioner to run at the default sleep temperature during the initial operation period; determine the initial average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected during the initial operation period; determine the initial operation temperature based on the initial average metabolic fluctuation value.

[0134] The initial operating time period can be understood as the period from receiving the sleep mode operation command to the air conditioner operating at the default sleep temperature for the initial operating time. The initial operating time can be preset by the air conditioner designer or set or modified by the air conditioner user, such as setting the initial operating time to 20 minutes or 30 minutes. Similarly, the default sleep temperature can be preset by the air conditioner designer or set or modified by the air conditioner user.

[0135] In this embodiment, if the received sleep mode operation command does not include a set sleep temperature, a default sleep temperature can be obtained, and the air conditioner can be controlled to run at the default sleep temperature for an initial operating time. After the air conditioner enters sleep mode, environmental characteristic information and object vital sign information can be periodically collected at a preset collection frequency. When the air conditioner runs at the default sleep temperature for the initial operating time, the initial average metabolic fluctuation value of the target object can be calculated based on the environmental characteristic information and object vital sign information collected during the initial operating time period. When the initial average metabolic fluctuation value of the target object is obtained, the initial operating temperature can be re-determined.

[0136] In this embodiment, the initial average metabolic fluctuation value of the target object can be calculated in the same way as the average metabolic fluctuation value of the target object during the information feedback period in the above embodiment, and will not be repeated here.

[0137] For example, the initial average metabolic fluctuation value ΔM′ of the target object and the initial operating temperature t0 can satisfy the following relationship:

[0138] ΔM′=-0.0007t0 2 -0.1328t0+25.

[0139] S320, in response to the sleep mode operation command, determines the real-time metabolic fluctuation ratio of the target object based on the real-time collected environmental characteristic information and object vital sign information; based on the mapping relationship between the metabolic fluctuation ratio and the operating wind speed, determines the real-time operating wind speed corresponding to the real-time metabolic fluctuation ratio, and controls the air conditioner to operate based on the real-time operating wind speed.

[0140] In this embodiment, after receiving the sleep mode operation command, environmental feature information and object vital sign information can be periodically collected at a preset collection frequency, and the air conditioner's fan speed can be adjusted in real time based on the environmental feature information and object vital sign information. Specifically, this can be divided into the following two steps:

[0141] First, based on the real-time collected environmental characteristics and physical characteristics of the target object, determine the real-time metabolic fluctuation ratio of the target object.

[0142] In this embodiment, the calculation method for the real-time metabolic fluctuation ratio of the target object can be the same as the method for calculating the metabolic fluctuation ratio of the target object during the information feedback period in the above embodiment, and will not be repeated here.

[0143] Second, based on the mapping relationship between metabolic fluctuation ratio and operating wind speed, the operating wind speed corresponding to the real-time metabolic fluctuation ratio is used to determine the real-time operating wind speed.

[0144] In this embodiment, the mapping relationship between the metabolic fluctuation ratio and the operating wind speed can be preset. When the real-time metabolic fluctuation ratio is obtained, the real-time operating wind speed corresponding to the real-time metabolic fluctuation ratio can be determined by looking up the mapping relationship between the metabolic fluctuation ratio and the operating wind speed.

[0145] For example, the mapping relationship between metabolic fluctuation ratio and operating wind speed can be shown in the following table:

[0146] Metabolic fluctuation ratio ＞10％ 10％～6％ 6％～3％ 3％～1％ ＜1％

[0147] Each wind speed is set for strong wind, high wind, medium wind, low wind, and quiet.

[0148] It should be noted that S310 and S320 can be performed simultaneously.

[0149] S330. Within a wind speed correction cycle, the periodic temperature change rate within the wind speed correction cycle is determined based on the environmental characteristic information collected within the wind speed correction cycle. When the air conditioning temperature adjustment value within the wind speed correction cycle is less than the preset temperature adjustment value, and the periodic temperature change rate is greater than the preset temperature change rate, the real-time operating wind speed is corrected according to the preset wind speed correction value.

[0150] In this embodiment, while the air conditioner operates based on the real-time operating fan speed, it can also periodically correct the real-time operating fan speed according to the environmental characteristic information collected in real time. The air conditioner temperature adjustment value can be understood as the adjustment value of the air conditioner's operating temperature. The fan speed correction cycle can be preset and modified, and the preset temperature adjustment value, preset temperature change rate, and preset fan speed correction value can also be preset and modified.

[0151] For a given wind speed correction cycle, environmental characteristic information collected within that cycle can be obtained. Based on the ambient temperature from this information, the rate of change of ambient temperature within that cycle, i.e., the cycle temperature change rate, can be calculated. When the air conditioning temperature adjustment value within the wind speed correction cycle is less than the preset temperature adjustment value, but the cycle temperature change rate is greater than the preset temperature change rate, a preset wind speed correction value can be obtained, and the real-time operating wind speed can be corrected based on this preset wind speed correction value.

[0152] For example, the preset temperature adjustment value is 0℃, the preset temperature change rate is 1℃ / 10min, and the preset fan speed correction value is 200 rpm. Within one fan speed correction cycle, if the air conditioner temperature adjustment value is less than 0℃, it can be assumed that the target object does not need to be heated. If the temperature change rate within the fan speed correction cycle is greater than 1℃ / 10min, the real-time operating fan speed can be increased by 200 rpm to lower the ambient temperature.

[0153] S340: Receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information.

[0154] S350. Based on the environmental characteristic information and subject vital sign information collected during the information feedback period, determine the average metabolic fluctuation value of the target subject.

[0155] S360: Determine the expected temperature adjustment value corresponding to the average metabolic fluctuation value based on temperature feedback information.

[0156] S370. Adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0157] It should be noted that while S320 and S330 are being executed, S340 to S370 can be performed simultaneously.

[0158] In this embodiment, in response to a sleep mode operation command, the initial operating temperature and real-time fan speed are determined, and the air conditioner is controlled to operate based on these parameters. Simultaneously, the real-time fan speed is periodically adjusted based on real-time collected environmental characteristic information. Furthermore, temperature feedback information is received, the corresponding feedback time period is determined, and based on environmental characteristic information and subject vital signs collected within that time period, the average metabolic fluctuation value of the target subject is determined. Based on the temperature feedback information, the desired temperature adjustment value corresponding to the average metabolic fluctuation value is determined, and the initial operating temperature of the air conditioner is adjusted according to the desired temperature adjustment value. This embodiment can adjust the air conditioner's operating temperature and fan speed in real time based on collected environmental characteristic information, subject vital signs information, and user feedback on temperature, ensuring the user is always in a comfortable ambient temperature. This solves the problem of existing air conditioners operating in a fixed mode, which easily leads to users being constantly exposed to excessively cold or hot temperatures, resulting in low comfort and negatively impacting user health.

[0159] Figure 4 This application provides a schematic diagram of the structure of an air conditioning temperature regulating device. For example... Figure 4 As shown, the device includes:

[0160] The feedback information receiving module 410 is used to receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information.

[0161] The metabolic fluctuation value determination module 420 is used to determine the average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected within the information feedback time period.

[0162] The temperature adjustment value determination module 430 is used to determine the desired temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information.

[0163] The desired temperature adjustment module 440 is used to adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0164] The technical solution of this application embodiment receives temperature feedback information and determines the information feedback time period corresponding to the temperature feedback information; determines the average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected within the information feedback time period; determines the expected temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information; and adjusts the initial operating temperature of the air conditioner according to the expected temperature adjustment value. This solves the problem that existing air conditioners operate in a fixed mode, which easily puts users in an experience of being too cold or too hot, resulting in low comfort and affecting the user's health. This embodiment can receive temperature feedback evaluation from users regarding the initial operating temperature of the air conditioner and, in conjunction with the user's vital sign information within the corresponding time period, adjust the operating temperature of the air conditioner in a timely manner, so that users are always in a more comfortable environmental temperature.

[0165] In one embodiment, the environmental characteristic information includes ambient temperature and ambient relative humidity;

[0166] The subject's vital signs information includes body surface temperature, sweating rate, and heart rate.

[0167] In one embodiment, the metabolic fluctuation value determination module 420 includes:

[0168] The feedback information acquisition unit is used to acquire environmental feature information and object vital sign information collected at least at two information collection times within the information feedback time period;

[0169] The heart rate-metabolic relationship determination unit is used to determine the heart rate-metabolic relationship of the target object based on environmental feature information and object vital sign information at two different information acquisition times.

[0170] The real-time metabolic rate determination unit is used to determine the real-time metabolic rate at each information collection time based on the heart rate-metabolic relationship and the heart rate value in the vital signs information of each of the subjects.

[0171] The average metabolic fluctuation determination unit is used to determine the average metabolic fluctuation value of the target object during the information feedback time period based on the real-time metabolic rate.

[0172] In one embodiment, the heart rate-metabolic relationship determination unit includes:

[0173] The basal metabolic rate and heart rate determination subunit is used to determine the basal metabolic rate and basal heart rate of the target object based on the target object's object group label;

[0174] The measurement time determination subunit is used to determine the first metabolic relationship measurement time and the second metabolic relationship measurement time from each of the information acquisition times;

[0175] The subunit for determining the unit metabolic heart rate change is used to determine the unit metabolic heart rate change value of the target object based on the first environmental feature information and the first object vital sign information collected at the first metabolic relationship measurement time, and the second environmental feature information and the second object vital sign information collected at the second metabolic relationship measurement time.

[0176] The heart rate-metabolic relationship determination subunit is used to substitute the basal metabolic rate, the basal heart rate, and the unit metabolic heart rate change value into a preset heart rate-metabolic relationship expression to obtain the heart rate-metabolic relationship of the target object.

[0177] In one embodiment, the subunit for determining unit metabolic heart rate change is specifically used for:

[0178] Based on the first ambient temperature and first relative humidity in the first environmental characteristic information, and the first body surface temperature and first sweating rate in the first object physical characteristics information, the first object workload at the first metabolic relationship measurement time is determined.

[0179] Based on the second ambient temperature and second relative humidity in the second environmental characteristic information, and the second body surface temperature and second sweating rate in the second subject physical characteristics information, the workload of the second subject at the second metabolic relationship measurement time is determined;

[0180] The unit metabolic heart rate change value of the target object is determined based on the workload of the first object, the workload of the second object, the first heart rate value in the vital signs information of the first object, and the second heart rate value in the vital signs information of the second object.

[0181] In one embodiment, the temperature adjustment value determination module 430 includes:

[0182] A temperature adjustment formula determination unit is used to determine the temperature adjustment formula matching the temperature feedback information, wherein the temperature adjustment formula includes a temperature adjustment base and at least one temperature adjustment parameter.

[0183] The adjustment base value determination unit is used to determine the adjustment base value corresponding to the temperature adjustment base based on the average metabolic fluctuation value.

[0184] The desired temperature adjustment value determination unit is used to substitute the adjustment base value into the temperature adjustment formula to determine the desired temperature adjustment value.

[0185] In one embodiment, the unit for determining the adjustment base value includes:

[0186] The basal metabolic rate acquisition subunit is used to acquire the basal metabolic rate of the target object;

[0187] The metabolic fluctuation ratio determination subunit is used to determine the metabolic fluctuation ratio based on the average metabolic fluctuation value and the basal metabolic rate.

[0188] The first adjustment base value determination subunit is used to determine the adjustment base value corresponding to the temperature adjustment base value as the metabolic fluctuation ratio when the absolute value of the metabolic fluctuation ratio is less than or equal to the preset fluctuation ratio threshold.

[0189] The second adjustment base value determination subunit is used to determine the adjustment base value as the preset fluctuation ratio threshold when the metabolic fluctuation ratio is greater than the preset fluctuation ratio threshold.

[0190] The third adjustment base value determination subunit is used to determine the adjustment base value as the opposite of the preset fluctuation ratio threshold when the metabolic fluctuation ratio is less than the opposite of the preset fluctuation ratio threshold.

[0191] In one embodiment, the apparatus further includes:

[0192] An initial operating temperature determination module is used to determine the initial operating temperature in response to a sleep mode operation command before receiving temperature feedback information, and to control the air conditioner to operate based on the initial operating temperature; wherein, the initial operating temperature is determined according to the set sleep temperature in the sleep mode operation command, or the initial operating temperature is determined according to environmental characteristic information and object vital sign information collected during the initial operating time period.

[0193] In one embodiment, the apparatus further includes:

[0194] The real-time operating wind speed determination module is used to respond to the sleep mode operation command, determine the real-time metabolic fluctuation ratio of the target object based on the real-time collected environmental feature information and object vital sign information; determine the real-time operating wind speed based on the mapping relationship between the metabolic fluctuation ratio and the operating wind speed, and control the air conditioner to operate based on the real-time operating wind speed.

[0195] In one embodiment, the apparatus further includes:

[0196] A real-time wind speed correction module is used to determine the periodic temperature change rate within a wind speed correction cycle based on environmental characteristic information collected within the wind speed correction cycle. When the air conditioning temperature adjustment value within the wind speed correction cycle is less than the preset temperature adjustment value, and the periodic temperature change rate is greater than the preset temperature change rate, the real-time operating wind speed is corrected according to the preset wind speed correction value.

[0197] In this embodiment, in response to a sleep mode operation command, the initial operating temperature and real-time operating fan speed are determined, and the air conditioner is controlled to operate based on the initial operating temperature and real-time operating fan speed. Simultaneously, the real-time operating fan speed is periodically adjusted based on real-time collected environmental characteristic information. Furthermore, by receiving temperature feedback information, a preset time period preceding the time of receipt of the temperature feedback information is determined as the information feedback time period corresponding to the temperature feedback information. Environmental characteristic information and object vital sign information collected at least at two information collection times within the information feedback time period are acquired. Based on the environmental characteristic information and object vital sign information from two different information collection times, the heart rate metabolic relationship of the target object is determined. Based on the heart rate metabolic relationship and the heart rate value in each object's vital sign information, the real-time metabolic rate at each information collection time is determined. Based on each real-time metabolic rate, the average metabolic fluctuation value of the target object within the information feedback time period is determined. A temperature adjustment formula matching the temperature feedback information is determined. Based on the average metabolic fluctuation value, an adjustment base value corresponding to the temperature adjustment base is determined. The adjustment base value is substituted into the temperature adjustment formula to determine the desired temperature adjustment value. The initial operating temperature of the air conditioner is adjusted according to the desired temperature adjustment value. This embodiment can adjust the operating temperature and fan speed of the air conditioner in real time based on the collected environmental characteristics and physical characteristics of the object, combined with the user's evaluation of the temperature, so that the user is always in a relatively comfortable ambient temperature. This solves the problem that existing air conditioners operate in a fixed mode, which easily makes users feel that the temperature is too cold or too hot, resulting in low comfort and affecting the user's health.

[0198] The air conditioning temperature regulating device provided in this application embodiment can execute the air conditioning temperature regulating method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of executing the method.

[0199] Figure 5 A structural block diagram of an air conditioner provided in an embodiment of the present invention, such as... Figure 5 As shown, the air conditioner includes a processor 510, a memory 520, a signal acquisition unit 530, an input device 540, and an output device 550; the number of processors 510 in the air conditioner can be one or more. Figure 5 Taking a processor 510 as an example; the processor 510, memory 520, signal acquisition unit 530, input device 540, and output device 550 in the air conditioner can be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0200] The memory 520, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the air conditioner temperature regulation method in this embodiment of the invention (e.g., the information acquisition module 310, update strategy determination module 320, and topic update module 330 in the air conditioner temperature regulation device). The processor 510 executes various functional applications and data processing of the air conditioner by running the software programs, instructions, and modules stored in the memory 520, thereby realizing the aforementioned air conditioner temperature regulation method.

[0201] The memory 520 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created based on terminal usage. Furthermore, the memory 520 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 520 may further include memory remotely located relative to the processor 510, which can be connected to the air conditioner via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0202] The signal acquisition unit 530 can be used to collect environmental characteristic information and object vital sign information, and can also directly receive signals collected and transmitted by other intelligent devices. The input device 540 can be used to receive input digital or character information, and generate key signal inputs related to user settings and function control of the air conditioner. The output device 550 may include display devices such as a display screen.

[0203] This invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform an air conditioning temperature adjustment method, the method comprising:

[0204] Receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information;

[0205] Based on the environmental characteristic information and object vital sign information collected during the information feedback period, the average metabolic fluctuation value of the target object is determined.

[0206] Based on the temperature feedback information, determine the expected temperature adjustment value corresponding to the average metabolic fluctuation value;

[0207] Adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value.

[0208] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the method operations described above, but can also perform related operations in the air conditioning temperature adjustment method provided in any embodiment of the present invention.

[0209] From the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented by means of software and necessary general-purpose hardware, and of course, it can also be implemented by hardware, but in many cases the former is a preferred implementation. Based on this understanding, in the context of this application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0210] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

[0211] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for regulating air conditioning temperature, characterized in that, include: Receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information; Based on the environmental characteristic information and object vital sign information collected during the information feedback period, the average metabolic fluctuation value of the target object is determined. Based on the temperature feedback information, determine the expected temperature adjustment value corresponding to the average metabolic fluctuation value; Adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value; The step of determining the expected temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information includes: Determine the temperature adjustment formula that matches the temperature feedback information, wherein the temperature adjustment formula includes a temperature adjustment base and at least one temperature adjustment parameter; Based on the average metabolic fluctuation value, determine the adjustment base value corresponding to the temperature adjustment base; Substitute the adjustment base value into the temperature adjustment formula to determine the desired temperature adjustment value.

2. The air conditioning temperature regulation method according to claim 1, characterized in that, The environmental characteristic information includes ambient temperature and ambient relative humidity; The subject's vital signs information includes body surface temperature, sweating rate, and heart rate.

3. The air conditioning temperature regulation method according to claim 2, characterized in that, The step of determining the average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected within the information feedback time period includes: Acquire environmental feature information and object vital sign information collected at least at two information collection moments within the information feedback time period; Based on environmental characteristics and physical signs of the target object at two different times of information collection, the heart rate-metabolic relationship of the target object is determined. Based on the heart rate-metabolic relationship and the heart rate values ​​in the vital signs information of each subject, the real-time metabolic rate at each information collection time is determined; Based on the real-time metabolic rates described above, the average metabolic fluctuation value of the target object during the information feedback time period is determined.

4. The air conditioning temperature regulation method according to claim 3, characterized in that, The determination of the target object's heart rate-metabolic relationship based on environmental feature information and object vital sign information at two different information collection times includes: Based on the target object's group label, determine the target object's basal metabolic rate and basal heart rate; Determine the first metabolic relationship measurement time and the second metabolic relationship measurement time from each of the information acquisition times; Based on the first environmental feature information and the first subject vital signs information collected at the first metabolic relationship measurement time, and the second environmental feature information and the second subject vital signs information collected at the second metabolic relationship measurement time, the unit metabolic heart rate change value of the target subject is determined; By substituting the basal metabolic rate, the basal heart rate, and the change in heart rate per unit of metabolic rate into a preset heart rate-metabolic relationship expression, the heart rate-metabolic relationship of the target object is obtained.

5. The air conditioning temperature regulation method according to claim 4, characterized in that, The step of determining the unit metabolic heart rate change value of the target object based on the first environmental feature information and the first subject vital sign information collected at the first metabolic relationship measurement time, and the second environmental feature information and the second subject vital sign information collected at the second metabolic relationship measurement time, includes: Based on the first ambient temperature and first relative humidity in the first environmental characteristic information, and the first body surface temperature and first sweating rate in the first object physical characteristics information, the first object workload at the first metabolic relationship measurement time is determined. Based on the second ambient temperature and second relative humidity in the second environmental characteristic information, and the second body surface temperature and second sweating rate in the second subject physical characteristics information, the workload of the second subject at the second metabolic relationship measurement time is determined; The unit metabolic heart rate change value of the target object is determined based on the workload of the first object, the workload of the second object, the first heart rate value in the vital signs information of the first object, and the second heart rate value in the vital signs information of the second object.

6. The air conditioning temperature regulation method according to claim 1, characterized in that, The step of determining the adjustment base value corresponding to the temperature adjustment base based on the average metabolic fluctuation value includes: Obtain the basal metabolic rate of the target object; The metabolic fluctuation ratio is determined based on the average metabolic fluctuation value and the basal metabolic rate; When the absolute value of the metabolic fluctuation ratio is less than or equal to the preset fluctuation ratio threshold, the adjustment base value corresponding to the temperature adjustment base value is the metabolic fluctuation ratio. When the metabolic fluctuation ratio is greater than the preset fluctuation ratio threshold, the adjustment base value is set to the preset fluctuation ratio threshold. When the metabolic fluctuation ratio is less than the negative of the preset fluctuation ratio threshold, the adjustment base value is the negative of the preset fluctuation ratio threshold.

7. The air conditioning temperature regulation method according to claim 1, characterized in that, Before receiving temperature feedback information, it also includes: In response to a sleep mode operation command, the initial operating temperature is determined, and the air conditioner is controlled to operate based on the initial operating temperature; The initial operating temperature is determined according to the set sleep temperature in the sleep mode operation command, or the initial operating temperature is determined according to the environmental characteristic information and object vital sign information collected during the initial operating time period.

8. The air conditioning temperature regulation method according to claim 1, characterized in that, The method further includes: In response to the sleep mode operation command, the real-time metabolic fluctuation ratio of the target object is determined based on the real-time collected environmental feature information and object vital sign information; Based on the mapping relationship between metabolic fluctuation ratio and operating wind speed, the operating wind speed corresponding to the real-time metabolic fluctuation ratio is determined to be the real-time operating wind speed, and the air conditioner is controlled to operate based on the real-time operating wind speed.

9. The air conditioning temperature regulation method according to claim 8, characterized in that, In addition to controlling the air conditioner to operate based on the real-time operating fan speed, the system also includes: Within a wind speed correction cycle, the periodic temperature change rate within the wind speed correction cycle is determined based on the environmental characteristic information collected within the wind speed correction cycle. If the air conditioning temperature adjustment value within the wind speed correction cycle is less than the preset temperature adjustment value, and the cycle temperature change rate is greater than the preset temperature change rate, then the real-time operating wind speed is corrected according to the preset wind speed correction value.

10. An air conditioning temperature control device, characterized in that, include: The feedback information receiving module is used to receive temperature feedback information and determine the information feedback time period corresponding to the temperature feedback information. The metabolic fluctuation value determination module is used to determine the average metabolic fluctuation value of the target object based on the environmental characteristic information and object vital sign information collected within the information feedback time period. The temperature adjustment value determination module is used to determine the desired temperature adjustment value corresponding to the average metabolic fluctuation value based on the temperature feedback information. A desired temperature adjustment module is used to adjust the initial operating temperature of the air conditioner according to the desired temperature adjustment value; The temperature adjustment value determination module includes: A temperature adjustment formula determination unit is used to determine the temperature adjustment formula matching the temperature feedback information, wherein the temperature adjustment formula includes a temperature adjustment base and at least one temperature adjustment parameter. The adjustment base value determination unit is used to determine the adjustment base value corresponding to the temperature adjustment base based on the average metabolic fluctuation value. The desired temperature adjustment value determination unit is used to substitute the adjustment base value into the temperature adjustment formula to determine the desired temperature adjustment value.

11. An air conditioner, characterized in that, The air conditioner includes: Signal acquisition devices are used to collect environmental characteristic information and object vital signs information; At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the air conditioning temperature adjustment method according to any one of claims 1-9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the air conditioning temperature regulation method according to any one of claims 1-9.

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