A temperature control method, system, electronic device, storage medium and program product

Abstract

The present disclosure relates to the field of temperature control technology, and in particular, provides a temperature control method, system, electronic device, storage medium and program product. A temperature control method includes: obtaining environmental data of an environment to be temperature controlled and the activity status of a target object, the target object being an object whose perceived temperature is to be determined in the environment to be temperature controlled, and the environmental data including the ambient temperature and other environmental parameters; determining the perceived temperature of the target object based on the environmental data and the activity status of the target object; and performing a temperature control operation based on the perceived temperature of the target object. The technical solution of the present disclosure can obtain accurate perceived temperature and improve the temperature control effect.

Description

Technical Field

[0001] The present disclosure relates to the field of temperature control technology, and in particular to a temperature control method, system, electronic device, storage medium and program product. Background Art

[0002] With the continuous development of Internet of Things technology and the improvement of people's requirements for the quality of home life, smart home temperature control systems are gradually becoming an important technical field to meet personalized needs.

[0003] Specifically, the existing mainstream solutions usually monitor the current ambient temperature, compare it with the user's preset comfort temperature, and issue control instructions to the air conditioner based on the temperature difference to keep the indoor temperature within a comfortable range. However, due to the difference between the perceived temperature and the ambient temperature, the temperature control effect is poor. Summary of the invention

[0004] The present disclosure is proposed in view of the above problems. The present disclosure provides a temperature control method, system, electronic device, storage medium and program product.

[0005] According to one aspect of the present disclosure, a temperature control method is provided, the method comprising:

[0006] Acquire environmental data of the environment to be temperature-controlled and the activity state of a target object, wherein the target object is an object in the environment to be temperature-controlled whose perceived temperature is to be determined, and the environmental data includes the ambient temperature and other environmental parameters;

[0007] Determining a perceived temperature of the target object according to the environmental data and an activity state of the target object;

[0008] A temperature control operation is performed according to the perceived temperature of the target object.

[0009] In addition, according to a temperature control method according to one aspect of the present disclosure, the other environmental parameters include at least one of humidity, wind speed and light intensity.

[0010] In addition, according to a temperature control method according to one aspect of the present disclosure, the activity state includes a motion state, a sleep state and a daily state, and the motion state has multiple motion levels.

[0011] In addition, according to a temperature control method in one aspect of the present disclosure, determining the perceived temperature of the target object according to the environmental data and the activity state of the target object includes:

[0012] Determine, according to a preconfigured first body temperature algorithm, a body temperature algorithm of the activity state of the target object, wherein the first body temperature algorithm includes body temperature algorithms corresponding to each activity state;

[0013] The body temperature of the target object is determined according to the environmental data using a body temperature algorithm corresponding to the activity state of the target object.

[0014] In addition, according to a temperature control method in one aspect of the present disclosure, the activity state includes a daily state;

[0015] The body temperature algorithm corresponding to the daily state includes:

[0016] Determine a basic body sensible temperature according to the environmental data using a basic body sensible temperature correction function as the body sensible temperature of the target object, wherein the basic body sensible temperature correction function is used to correct the environmental temperature according to the other environmental parameters to obtain the basic body sensible temperature;

[0017] In addition, according to a temperature control method in one aspect of the present disclosure, the activity state includes a motion state;

[0018] The body temperature algorithm corresponding to the motion state includes:

[0019] Determine a basic body sensible temperature according to the environmental data using a basic body sensible temperature correction function, wherein the basic body sensible temperature correction function is used to correct the environmental temperature according to the other environmental parameters to obtain the basic body sensible temperature;

[0020] According to a preset first adjustment coefficient of the corresponding exercise level, the basic body temperature is increased to obtain the body temperature in the exercise state, wherein the higher the exercise level, the greater the increase in the body temperature;

[0021] In addition, according to a temperature control method in one aspect of the present disclosure, the activity state includes a sleep state;

[0022] The body temperature algorithm corresponding to the sleeping state includes:

[0023] Determine a basic body sensible temperature according to the environmental data using a basic body sensible temperature correction function, wherein the basic body sensible temperature correction function is used to correct the environmental temperature according to the other environmental parameters to obtain the basic body sensible temperature;

[0024] According to a preset second adjustment coefficient, the basic body temperature is reduced to obtain a body temperature in a sleeping state.

[0025] In addition, according to a temperature control method in one aspect of the present disclosure, the method further includes:

[0026] If the user actively adjusts the temperature control device, the first body temperature algorithm is optimized according to the operation record of the user actively adjusting the temperature control device and the corresponding environmental data and activity status.

[0027] In addition, according to a temperature control method in one aspect of the present disclosure, a pre-configured body temperature algorithm is optimized according to the operation record of the user actively adjusting the temperature control device and the corresponding environmental data and activity status, including:

[0028] generating a second body-sensory temperature algorithm according to the operation record, the environmental data of the environment to be temperature-controlled, and the activity state of the target object, wherein the second body-sensory temperature algorithm is a parameterized variant of the first body-sensory temperature algorithm;

[0029] The first body sensible temperature algorithm is optimized according to the parameters of the second body sensible temperature algorithm.

[0030] According to another aspect of the present disclosure, there is provided a temperature control system, comprising:

[0031] An acquisition module, used to acquire environmental data of the environment to be temperature-controlled and an activity state of a target object, wherein the target object is an object in the environment to be temperature-controlled whose perceived temperature is to be determined, and the environmental data includes the ambient temperature and other environmental parameters;

[0032] A body temperature determination module, used to determine the body temperature of the target object according to the environmental data and the activity state of the target object;

[0033] The temperature control module is used to perform temperature control operations according to the body temperature of the target object.

[0034] According to another aspect of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of any of the above methods.

[0035] According to another aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps of any of the above-mentioned methods are implemented.

[0036] According to another aspect of the present disclosure, a computer program product is provided, including a computer program / instruction, which implements the steps of any of the above methods when executed by a processor.

[0037] As will be described in detail below, according to a temperature control method, system, electronic device, storage medium and program product of an embodiment of the present disclosure, the environmental data of the environment to be temperature-controlled and the activity state of the target object are obtained, the perceived temperature of the target object is determined based on this information, and the temperature control operation is performed based on the perceived temperature. The perceived temperature of the target object can be accurately obtained, and the temperature control operation is performed using the perceived temperature, which solves the technical problem of poor temperature control effect caused by the difference between the perceived temperature and the ambient temperature, and improves the temperature control effect.

[0038] It is to be understood that both the foregoing general description and the following detailed description are exemplary, and are intended to provide further explanation of the technology as claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The above and other purposes, features and advantages of the present disclosure will become more apparent by describing the embodiments of the present disclosure in more detail in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present disclosure and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the present disclosure and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0040] Figure 1 is a flow chart illustrating a temperature control method according to an embodiment of the present disclosure.

[0041] Figure 2 It is a flow chart further illustrating the determination of the perceived temperature in the temperature control method of the embodiment of the present disclosure.

[0042] Figure 3 is a block diagram illustrating a temperature control system according to an embodiment of the present disclosure.

[0043] Figure 4 is a schematic diagram illustrating a computer program product according to an embodiment of the present disclosure.

[0044] Figure 5 is a hardware block diagram illustrating an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present disclosure more obvious, the exemplary embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited to the exemplary embodiments described here.

[0046] See also Figure 1 , a temperature control method, comprising:

[0047] S101, obtaining environmental data of an environment to be temperature-controlled and an activity state of a target object, wherein the target object is an object in the environment to be temperature-controlled whose perceived temperature is to be determined, and the environmental data includes the environmental temperature and other environmental parameters.

[0048] The temperature control method of the embodiment of the present disclosure can be applied to an air-conditioning system to achieve intelligent temperature control.

[0049] In this step, the environment to be temperature controlled is the environment of the temperature area to be controlled by the temperature control method of the embodiment of the present disclosure. Which part of the area environment is used as the environment to be temperature controlled can be determined according to the actual situation. Environmental data includes ambient temperature and other environmental parameters. Other environmental parameters may include humidity, wind speed, light intensity, ultraviolet radiation, carbon dioxide concentration, etc. Environmental parameters will affect the perceived temperature of the target object, because humidity, wind speed, light and other reasons make the perceived temperature of the target object different from the ambient temperature. In general, humidity, wind speed and light intensity have a greater impact on the perceived temperature. Therefore, other environmental parameters may include humidity, wind speed and light intensity. Of course, other environmental parameters may include one, two or all of humidity, wind speed and light intensity. In practical applications, other environmental parameters may be determined according to the application scenario. For example, in a certain indoor scene with no wind and no light environment, other environmental parameters may be humidity; for example, in a car environment, other environmental parameters may include humidity, wind speed and light intensity, wherein the wind speed may be directly read from the vehicle control system or collected using a related wind speed acquisition module. Taking the indoor scene as an example, a collection module can be arranged indoors to collect corresponding environmental data, and the environmental data of the environment to be temperature-controlled can be obtained from the collection module.

[0050] In this step, the target object is the object whose body temperature is to be determined in the temperature-controlled environment. For example, in a car environment, it can be a driver or a passenger, in an office environment, it can be an employee, etc. The activity state can include a motion state, a sleeping state, and a daily state, and the motion state can also have multiple motion levels.

[0051] It should be understood that the environmental data of the acquisition module adopts real-time data; for example, the acquisition module acquires the real-time temperature C0 of the environment, the real-time humidity: RH (%), the real-time wind speed: V (m / s), the real-time light intensity: I (w / m 2 ) and other environmental data. The infrared motion capture sensor is used to collect information about the activity status of the target object in the environment. When the target object is in a low-frequency and slow activity state, the current activity state is recorded as the daily state; when the target object is in a high-frequency and fast activity state accompanied by an increase in body temperature, the current activity state is recorded as the motion state. And according to the activity frequency of the target object and the increase in body temperature per unit time, the activity state is calibrated to an activity level L, which is divided into 5 levels from low to high: L1, L2, L3, L4, and L5; when the target object is in a completely still state for a long time, the current activity state is recorded as a sleeping state.

[0052] S102, determining the perceived temperature of the target object according to the environmental data and the activity state of the target object.

[0053] In this step, the perceived temperature of the target object is determined based on the environmental data and the activity state. It can provide a temperature value closer to the real feeling through environmental data (such as temperature, humidity, wind speed, radiation, etc.) and the activity state of the target object (such as still or moving).

[0054] For example, the environmental data collected by each collection module can be transmitted to the information processing module, which determines the perceived temperature of the target object based on the collected information set. It can calculate according to the pre-configured first perceived temperature algorithm, establish a spatial perceived temperature model, and obtain the real-time perceived temperature of the corresponding state in the environment.

[0055] In one embodiment, see Figure 2 , step S102 may include:

[0056] S201, determining a body temperature algorithm of an activity state of a target object according to a preconfigured first body temperature algorithm, wherein the first body temperature algorithm includes body temperature algorithms corresponding to various activity states.

[0057] The first body temperature algorithm includes body temperature algorithms corresponding to each activity state. It should be understood that the body temperature algorithms corresponding to each activity state are different, so that the body temperature algorithms corresponding to each activity state can accurately calculate the body temperature in the corresponding state.

[0058] In one embodiment, the activity state includes a daily state, and the somatosensory temperature algorithm corresponding to the daily state includes: using a basic somatosensory temperature correction function to determine a basic somatosensory temperature according to environmental data as the somatosensory temperature of the target object, wherein the basic somatosensory temperature correction function is used to correct the ambient temperature according to other environmental parameters to obtain the basic somatosensory temperature. The principle of the basic somatosensory temperature correction function is to calculate a temperature value that is more in line with the actual perception of the human body based on the theory of human body heat balance and the correction effect of different environmental parameters on the ambient temperature. Specifically, the function integrates the influence of the following environmental factors into the ambient temperature through mathematical modeling to obtain the somatosensory temperature, so as to make it closer to the actual feeling of the human body.

[0059] The activity state includes the motion state, and the body temperature algorithm corresponding to the motion state includes: using the basic body temperature correction function to determine the basic body temperature according to the environmental data, wherein the basic body temperature correction function is used to correct the ambient temperature according to other environmental parameters to obtain the basic body temperature; according to the first adjustment coefficient of the preset corresponding exercise level, the basic body temperature is increased to obtain the body temperature of the motion state, wherein the higher the exercise level, the greater the increase in the body temperature.

[0060] The activity state includes the sleep state, and the body temperature algorithm corresponding to the sleep state includes: using a basic body temperature correction function to determine the basic body temperature according to environmental data, wherein the basic body temperature correction function is used to correct the ambient temperature according to other environmental parameters to obtain the basic body temperature; according to a preset second adjustment coefficient, the basic body temperature is reduced to obtain the body temperature in the sleep state.

[0061] Exemplarily, the first body temperature algorithm α is as follows:

[0062] In daily state: record as real body temperature: C a ;

[0063] When in motion: recorded as real body temperature: C b ;

[0064] When sleeping: recorded as real body temperature: C c ;

[0065]

[0066] Among them, the sports level is L1=1, L2=2, L3=3, L4=4, L5=5;

[0067]

[0068] The above formula (1) is the body temperature algorithm corresponding to the daily state; formula (2) is the body temperature algorithm corresponding to the exercise state; formula (3) is the body temperature algorithm corresponding to the sleep state. It can be known that the coefficients in the above formulas can be adjusted according to actual needs.

[0069] Above is the basic body temperature correction function, the above (C0+0.3L) / C0 is the first adjustment coefficient, and the above 0.8 is the second adjustment coefficient.

[0070] It can be known that the first adjustment coefficient and the second adjustment coefficient can be adjusted according to actual needs. The parameters of the basic body temperature correction function can be adjusted according to actual needs.

[0071] S202, using a body temperature algorithm corresponding to the activity state of the target object and according to environmental data, determining the body temperature of the target object.

[0072] In this step, the target object's perceived temperature is determined based on the ambient data according to the perceived temperature algorithm corresponding to the target object's activity state. For example, the ambient data is substituted into one of the above formulas (1), (2), and (3) to obtain the perceived temperature of the target object.

[0073] S103, performing a temperature control operation according to the perceived temperature of the target object.

[0074] In this step, the temperature control operation can be performed according to the actual situation and the body temperature of the target object.

[0075] For example, the calculated perceived temperature (Ca, Cb, Cc) is compared with the target temperature C1 set by the user. When (Ca, Cb, Cc) = C1, the air conditioner will be adjusted to the lowest power, only for the purpose of maintaining the current environmental state to reduce energy consumption; when (Ca, Cb, Cc) ≠ C1, according to the difference between the perceived temperature and the target temperature and the activity state of the target object, a targeted corresponding air conditioning control scheme is generated according to different activity states. Different control schemes involve (including but not limited to) the adjustment of air conditioning temperature, wind speed, and wind swing state.

[0076] The air conditioning control scheme calculated and generated by the information processing module is sent to the control module, and the air conditioning is controlled by the control module. At the same time, the step of obtaining environmental data or activity status continues. When the collected environmental data or activity status changes, the body temperature is recalculated, a new control scheme is regenerated and sent to the control module. Finally, the body temperature (Ca, Cb, Cc) is always equal to the target temperature C1 set by the user.

[0077] In one embodiment, if the user actively adjusts the temperature control device, the first somatosensory temperature algorithm is optimized according to the operation record of the user actively adjusting the temperature control device and the corresponding environmental data and activity status. Specifically, a second somatosensory temperature algorithm can be generated according to the operation record, the environmental data of the environment to be temperature-controlled, and the activity status of the target object, and the second somatosensory temperature algorithm is a parameterized variant of the first somatosensory temperature algorithm; the first somatosensory temperature algorithm is optimized according to the parameters of the second somatosensory temperature algorithm.

[0078] For example, when the user actively adjusts and controls the air conditioner, the recording module records the user's operation content and the various parameters in the aforementioned links at the time of the operation. The relevant information is sent to the information processing module, which analyzes the environmental data, activity status, and air conditioning parameter settings at this time, and generates a second somatosensory temperature algorithm β for such environmental data and activity status. The second somatosensory temperature algorithm β is given a weight coefficient X. The information processing module combines the newly generated second somatosensory temperature algorithm β and the weight coefficient X to perform personalized intelligent optimization on the preset first somatosensory temperature algorithm α to obtain the third somatosensory temperature algorithm γ.

[0079] When the system that subsequently executes the method of the embodiment of the present disclosure calculates the real body temperature, the algorithm γ will be used instead of the algorithm α, and when the user actively adjusts and controls the air conditioner again, the existing third body temperature algorithm γ will be continuously optimized and updated. When the main user is replaced, if the new user feels that the currently cultivated personalized third body temperature algorithm γ does not match his or her own needs, the existing third body temperature algorithm γ can be manually deleted and restored to the preset default first body temperature algorithm α. The system will re-cultivate a more suitable personalized body temperature algorithm based on the subsequent operations of the new user.

[0080] See also Figure 3 The exemplary embodiment of the present disclosure further provides a temperature control system, comprising:

[0081] An acquisition module 301 is used to acquire environmental data of the environment to be temperature-controlled and the activity status of a target object. The target object is an object in the environment to be temperature-controlled whose perceived temperature is to be determined. The environmental data includes the ambient temperature and other environmental parameters.

[0082] A body temperature determination module 302 is used to determine the body temperature of the target object according to the environmental data and the activity state of the target object;

[0083] The temperature control module 303 is used to perform temperature control operations according to the perceived temperature of the target object.

[0084] In one embodiment, the other environmental parameters include at least one of humidity, wind speed, and light intensity.

[0085] In one embodiment, the activity state includes a motion state, a sleep state, and a daily state, and the motion state has a plurality of motion levels.

[0086] In one embodiment, the temperature control module 303 is used to determine the perceived temperature of the target object according to the environmental data and the activity state of the target object, specifically to:

[0087] Determine the body temperature algorithm of the activity state of the target object according to a pre-configured first body temperature algorithm, wherein the first body temperature algorithm includes body temperature algorithms corresponding to each activity state;

[0088] The perceived temperature of the target object is determined based on the environmental data using a perceived temperature algorithm corresponding to the target object's activity state.

[0089] In one embodiment, the body temperature algorithm corresponding to the daily state includes: using a basic body temperature correction function to determine the basic body temperature according to environmental data as the body temperature of the target object, wherein the basic body temperature correction function is used to correct the ambient temperature according to other environmental parameters to obtain the basic body temperature.

[0090] In one embodiment, the body temperature algorithm corresponding to the motion state includes: using a basic body temperature correction function to determine the basic body temperature according to environmental data, wherein the basic body temperature correction function is used to correct the ambient temperature according to other environmental parameters to obtain the basic body temperature.

[0091] The basic body temperature is increased according to a preset first adjustment coefficient of the corresponding exercise level to obtain the body temperature in the exercise state, wherein the higher the exercise level, the more the body temperature increases.

[0092] In one embodiment, the sensible temperature algorithm corresponding to the sleeping state includes: using a basic sensible temperature correction function to determine the basic sensible temperature according to environmental data, wherein the basic sensible temperature correction function is used to correct the ambient temperature according to other environmental parameters to obtain the basic sensible temperature; according to a preset second adjustment coefficient, the basic sensible temperature is reduced to obtain the sensible temperature in the sleeping state.

[0093] In one embodiment, the system further includes an optimization module for optimizing the first body temperature algorithm according to the operation record of the user's active adjustment of the temperature control device and the corresponding environmental data and activity status if the user actively adjusts the temperature control device.

[0094] In one embodiment, the optimization module is used to optimize the pre-configured somatosensory temperature algorithm according to the operation record of the user actively adjusting the temperature control device and the corresponding environmental data and activity status. Specifically, it is used to: generate a second somatosensory temperature algorithm according to the operation record, the environmental data of the environment to be temperature-controlled and the activity status of the target object, and the second somatosensory temperature algorithm is a parameterized variant of the first somatosensory temperature algorithm; optimize the first somatosensory temperature algorithm according to the parameters of the second somatosensory temperature algorithm.

[0095] The exemplary embodiment of the present disclosure also provides an electronic device, comprising: at least one processor; and a memory connected to the at least one processor in communication. The memory stores a computer program that can be executed by the at least one processor, and the computer program is used to cause the electronic device to perform the method according to the embodiment of the present disclosure when executed by the at least one processor.

[0096] Exemplary embodiments of the present disclosure also provide a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is used to cause the computer to execute the method according to an embodiment of the present disclosure.

[0097] refer to Figure 4 The exemplary embodiment of the present disclosure further provides a computer program product 400, comprising a computer program 401, wherein the computer program is used to enable the computer to perform the method according to the embodiment of the present disclosure when being executed by a processor of the computer.

[0098] refer to Figure 5 , a block diagram of an electronic device 500 that can be used as a server or client of the present disclosure will now be described, which is an example of a hardware device that can be applied to various aspects of the present disclosure. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0099] The electronic device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0100] A plurality of components in the electronic device 500 are connected to the I / O interface 505, including: an input unit 506, an output unit 507, a storage unit 508, and a communication unit 509. The input unit 506 may be any type of device capable of inputting information to the electronic device 500, and the input unit 506 may receive input digital or character information, and generate key signal inputs related to user settings and / or function control of the electronic device. The output unit 507 may be any type of device capable of presenting information, and may include, but is not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 508 may include, but is not limited to, a disk, an optical disk. The communication unit 509 allows the electronic device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and may include, but is not limited to, a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a Bluetooth™ device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0101] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 501 performs the various methods and processes described above. For example, in some embodiments, the method of the embodiment of the present disclosure may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 500 via the ROM 502 and / or the communication unit 509. In some embodiments, the computing unit 501 may be configured to perform the method of the embodiment of the present disclosure in any other appropriate manner (e.g., by means of firmware).

[0102] In the above, a temperature control method, system, electronic device, storage medium and program product according to an embodiment of the present disclosure are described with reference to the accompanying drawings. By acquiring the environmental data of the environment to be temperature-controlled and the activity state of the target object, the perceived temperature of the target object is determined based on this information, and the temperature control operation is performed based on the perceived temperature. The perceived temperature of the target object can be accurately obtained, and the temperature control operation is performed using the perceived temperature, which solves the technical problem that the temperature control effect is poor due to the difference between the perceived temperature and the ambient temperature, and improves the temperature control effect.

[0103] According to a temperature control method, system, electronic device, storage medium and program product of the embodiments of the present disclosure, the perceived temperature algorithm corresponding to different activity states is used to accurately calculate the perceived temperature of the target object, and temperature control operations are performed based on the perceived temperature, thereby achieving intelligent and humanized temperature control and improving user comfort and satisfaction.

[0104] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limitations. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0105] The block diagrams of the devices, apparatuses, equipment, and systems involved in this disclosure are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including," "comprising," "having," and the like are open words, referring to "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or," and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0106] Additionally, as used herein, "or" used in a list of items beginning with "at least one" indicates a separate list, so that, for example, a list of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the example described is preferred or better than other examples.

[0107] It should also be noted that in the system and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0108] Various changes, substitutions, and modifications of the technology herein may be made without departing from the technology of the teachings defined by the appended claims. Furthermore, the scope of the claims of the present disclosure is not limited to the specific aspects of the above processes, machines, manufactures, compositions of events, means, methods, and actions. Currently existing or later to be developed processes, machines, manufactures, compositions of events, means, methods, or actions that perform substantially the same functions or achieve substantially the same results as the corresponding aspects herein may be utilized. Thus, the appended claims include such processes, machines, manufactures, compositions of events, means, methods, or actions within their scope.

[0109] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0110] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A temperature control method, characterized in that: The method comprises: Acquire environmental data of the environment to be temperature-controlled and the activity state of a target object, wherein the target object is an object in the environment to be temperature-controlled whose perceived temperature is to be determined, and the environmental data includes the ambient temperature and other environmental parameters; Determining a perceived temperature of the target object according to the environmental data and an activity state of the target object; A temperature control operation is performed according to the perceived temperature of the target object.

2. A temperature control method according to claim 1, characterized in that: The other environmental parameters include at least one of humidity, wind speed and light intensity.

3. A temperature control method according to claim 1, characterized in that: The activity state includes a motion state, a sleep state, and a daily state, and the motion state has a plurality of motion levels.

4. A temperature control method according to claim 1, characterized in that: The step of determining the perceived temperature of the target object according to the environmental data and the activity state of the target object includes: Determine, according to a preconfigured first body temperature algorithm, a body temperature algorithm of the activity state of the target object, wherein the first body temperature algorithm includes body temperature algorithms corresponding to each activity state; The perceived temperature of the target object is determined according to the environmental data using a perceived temperature algorithm corresponding to the activity state of the target object.

5. A temperature control method according to claim 4, characterized in that: The activity status includes a daily status; The body temperature algorithm corresponding to the daily state includes: Determine a basic body sensible temperature according to the environmental data using a basic body sensible temperature correction function as the body sensible temperature of the target object, wherein the basic body sensible temperature correction function is used to correct the environmental temperature according to the other environmental parameters to obtain the basic body sensible temperature; and / or, The activity state includes a motion state; The body temperature algorithm corresponding to the motion state includes: Determine a basic body sensible temperature according to the environmental data using a basic body sensible temperature correction function, wherein the basic body sensible temperature correction function is used to correct the environmental temperature according to the other environmental parameters to obtain the basic body sensible temperature; According to a preset first adjustment coefficient of the corresponding exercise level, the basic body temperature is increased to obtain the body temperature in the exercise state, wherein the higher the exercise level, the greater the increase in the body temperature; and / or, The activity state includes a sleep state; The body temperature algorithm corresponding to the sleeping state includes: Determine a basic body sensible temperature according to the environmental data using a basic body sensible temperature correction function, wherein the basic body sensible temperature correction function is used to correct the environmental temperature according to the other environmental parameters to obtain the basic body sensible temperature; According to a preset second adjustment coefficient, the basic body temperature is reduced to obtain a body temperature in a sleeping state.

6. A temperature control method according to claim 4, characterized in that: The method further comprises: If the user actively adjusts the temperature control device, the first body temperature algorithm is optimized according to the operation record of the user actively adjusting the temperature control device and the corresponding environmental data and activity status.

7. A temperature control method according to claim 6, characterized in that: Optimize the pre-configured temperature algorithm based on the user's active temperature control device operation records and corresponding environmental data and activity status, including: generating a second body-sensory temperature algorithm according to the operation record, the environmental data of the environment to be temperature-controlled, and the activity state of the target object, wherein the second body-sensory temperature algorithm is a parameterized variant of the first body-sensory temperature algorithm; The first body sensible temperature algorithm is optimized according to the parameters of the second body sensible temperature algorithm.

8. A temperature control system, characterized in that: include: An acquisition module, used to acquire environmental data of the environment to be temperature-controlled and an activity state of a target object, wherein the target object is an object in the environment to be temperature-controlled whose perceived temperature is to be determined, and the environmental data includes the ambient temperature and other environmental parameters; A body temperature determination module, used to determine the body temperature of the target object according to the environmental data and the activity state of the target object; The temperature control module is used to perform temperature control operations according to the body temperature of the target object.

9. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of any method described in claims 1 to 7 are implemented.

11. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of any method described in claims 1 to 7 are implemented.

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