Control method of air conditioner, air conditioner and machine readable storage medium

Abstract

The invention provides a control method of an air conditioner, the air conditioner and a machine readable storage medium. The control method of the air conditioner comprises the steps that a trigger signal for starting a fresh air mode of the air conditioner is received, human body activity information and the breathing frequency of all users in the indoor environment are detected through a WiFi signal, the fresh air speed of the air conditioner is determined according to the human body activity information and the breathing frequency, and the air conditioner is controlled to operate according to the determined fresh air speed. According to the scheme, the fresh air speed of the air conditioner can be automatically adjusted according to actual conditions, the intelligent degree of the air conditioner is improved, and time and energy of a user are saved; the fresh air speed of the air conditioner can meet the current actual condition, the use requirement of a user is fully met, and the use experience of the user is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of household appliances, and in particular to a control method of an air conditioner, an air conditioner and a machine-readable storage medium. Background Art

[0002] With the development of society and the continuous improvement of people's living standards, various air conditioning devices have become one of the indispensable electrical equipment in people's daily lives. Various air conditioning devices can help people reach a temperature and humidity that they can adapt to when the ambient temperature and humidity are too high or too low. Current air conditioning devices mainly include various types of air conditioners and fans.

[0003] Among them, the fresh air mode of the air conditioner can achieve the following purposes by introducing fresh air from the outdoor environment: you can enjoy the fresh air of nature without opening windows, meet the health needs of the human body, and reduce energy loss; it can also effectively remove mold and odor, expel damp and dirty air from the room, eradicate odors, prevent mold and bacteria, and help extend the service life of buildings and furniture; it also helps to reduce noise pollution, without having to endure the disturbance of opening windows, making the room quieter and more comfortable; it can also remove harmful gases, effectively remove formaldehyde, oil fume odor, carbon dioxide, cigarette smell, bacteria, viruses and other unhealthy or harmful gases, to prevent family members from being seriously harmed; avoid opening windows to bring in a lot of dust, effectively filter outdoor air, and ensure that the air entering the room is clean.

[0004] However, as people's demands for home environment continue to increase, the demand for the fresh air function of air conditioners is increasing, and the problems existing in the use of the fresh air function are becoming more and more prominent. For example, the fresh air mode of existing air conditioners is relatively simple and single, and cannot fully meet the needs of users. In addition, the fresh air mode of existing air conditioners often requires users to manually set and adjust, with a low degree of intelligence, which takes up users' time and energy, and the user experience is poor. Summary of the invention

[0005] One purpose of the present invention is to automatically adjust the fresh air speed of the air conditioner according to actual conditions, so as to improve the intelligence level of the air conditioner.

[0006] A further purpose of the present invention is to fully meet the usage requirements of users and enhance the user experience.

[0007] In particular, the present invention provides a control method for an air conditioner, comprising: receiving a trigger signal for turning on a fresh air mode of the air conditioner; detecting human activity information and breathing frequency of all users in an indoor environment using a WiFi signal; determining the fresh air speed of the air conditioner according to the human activity information and breathing frequency; and controlling the air conditioner to operate according to the determined fresh air speed.

[0008] Optionally, the steps of detecting the human activity information and respiratory rate of all users in the indoor environment using the WiFi signal include: detecting the human activity information and respiratory rate by checking the channel state information of the WiFi signal.

[0009] Optionally, the steps of determining the fresh air speed of the air conditioner according to the human activity information and respiratory rate include: determining the weighted respiratory rate according to the human activity information and respiratory rate; and determining the fresh air speed according to the weighted respiratory rate.

[0010] Optionally, the steps of determining the weighted respiratory rate according to the human activity information and respiratory rate include: determining the number of users in different age groups and the average respiratory rate of each age group according to the respiratory rate, and then obtaining the weighted respiratory rate.

[0011] Optionally, there are three age groups: children, young and middle-aged people, and the elderly. Users with a respiratory rate from the first frequency to the second frequency are classified as young and middle-aged people; users with a respiratory rate from the second frequency to the third frequency are classified as the elderly; users with a respiratory rate from the third frequency to the fourth frequency are classified as children, where the first frequency, the second frequency, the third frequency, and the fourth frequency increase in sequence.

[0012] Optionally, the steps of obtaining the weighted respiratory rate include: using the formula to calculate the weighted respiratory rate, where H is the weighted respiratory rate, X1 is the number of children, H1 is the average respiratory rate of children; X2 is the number of the elderly, H2 is the average respiratory rate of the elderly; X3 is the number of young and middle-aged people, H3 is the average respiratory rate of young and middle-aged people.

[0013] Optionally, the steps of determining the fresh air speed according to the weighted respiratory rate include: querying a preset information table to obtain the fresh air speed corresponding to the weighted respiratory rate, where the information table pre-stores the fresh air speeds corresponding to different weighted respiratory rates, and the weighted respiratory rate is positively correlated with the fresh air speed.

[0014] Optionally, the steps of receiving the trigger signal for turning on the fresh air mode of the air conditioner include: receiving the trigger signal sent by the display device, voice device, remote controller of the air conditioner or the mobile terminal bound to the air conditioner.

[0015] According to another aspect of the present invention, there is also provided an air conditioner, including: a controller, the controller includes a memory and a processor, where the memory stores a machine-executable program, and when the machine-executable program is executed by the processor, it implements the control method of the air conditioner in any one of the above.

[0016] According to still another aspect of the present invention, there is also provided a machine-readable storage medium, on which a machine-executable program is stored, and when the machine-executable program is executed by the processor, it implements the control method of the air conditioner in any one of the above.

[0017] The control method of the air conditioner, the air conditioner and the machine-readable storage medium of the present invention receive a trigger signal for turning on the fresh air mode of the air conditioner, detect the human activity information and breathing frequency of all users in the indoor environment by using the WiFi signal, determine the fresh air speed of the air conditioner according to the human activity information and breathing frequency, and control the air conditioner to operate at the determined fresh air speed. It can automatically adjust the fresh air speed of the air conditioner according to the actual situation, improve the intelligence level of the air conditioner, save the time and energy of users, and enhance the user experience.

[0018] Furthermore, the control method of the air conditioner, the air conditioner and the machine-readable storage medium of the present invention determine the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency, and then obtain the weighted breathing frequency, and then determine the fresh air speed according to the weighted breathing frequency, which can make the fresh air speed of the air conditioner conform to the current actual situation, fully meet the user's usage requirements, and further enhance the user experience.

[0019] From the following detailed description of the specific embodiments of the present invention in conjunction with the drawings, those skilled in the art will become more clear about the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Some specific embodiments of the present invention will be described in detail hereinafter with reference to the drawings in an exemplary but not restrictive manner. The same reference numerals in the drawings denote the same or similar components or parts. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0021] Figure 1 is a schematic diagram of the control method of the air conditioner according to an embodiment of the present invention;

[0022] Figure 2 is a detailed flowchart of the control method of the air conditioner according to an embodiment of the present invention;

[0023] Figure 3 is a schematic block diagram of the controller of the air conditioner according to an embodiment of the present invention; and

[0024] Figure 4 is a schematic diagram of the machine-readable storage medium according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] This embodiment first provides a control method of an air conditioner, which can automatically adjust the fresh air speed of the air conditioner according to the actual situation, improve the intelligence level of the air conditioner, save the time and energy of users, and enhance the user experience. Figure 1 is a schematic diagram of the control method of the air conditioner according to an embodiment of the present invention. AsFigure 1 As shown, the control method of the air conditioner may include the following steps:

[0026] Step S102, receiving a trigger signal for turning on the fresh air mode of the air conditioner;

[0027] Step S104, using the WiFi signal to detect the human activity information and breathing frequency of all users in the indoor environment;

[0028] Step S106, determining the fresh air speed of the air conditioner according to the human activity information and breathing frequency;

[0029] Step S108, controlling the air conditioner to operate at the determined fresh air speed.

[0030] In the above steps, step S102 receiving the trigger signal for turning on the fresh air mode of the air conditioner may specifically include: receiving the trigger signal sent by the display device, voice device, remote control of the air conditioner, or the mobile terminal bound to the air conditioner. The mobile terminal may be a portable intelligent device, such as a smart phone, a tablet computer, etc.

[0031] Step S104 uses the WiFi signal to detect the human activity information and breathing frequency of all users in the indoor environment. In a specific embodiment, the human activity information and breathing frequency can be detected by checking the Channel State Information (CSI) of the WiFi signal. Specifically, by checking the CSI signal, the signal changes caused by human breathing can be monitored. In addition, when a person moves in the area covered by the WiFi signal, the signal will come into contact with the person and change, and can even be reflected to other people. Therefore, this phenomenon can be used to monitor the human activity information through the WiFi signal. Monitoring the human activity information can mainly determine the specific number of users in the indoor environment.

[0032] Step S106 determines the fresh air speed of the air conditioner according to the human activity information and breathing frequency. Specifically, the weighted breathing frequency can be determined according to the human activity information and breathing frequency, and the fresh air speed can be determined according to the weighted breathing frequency. Automatically determining the fresh air speed of the air conditioner through the human activity information and breathing frequency detected by the WiFi signal for subsequent adjustment of the air conditioner effectively saves the time and effort of manual operation and setting by the user, and greatly improves the intelligent level of the air conditioner.

[0033] In a preferred embodiment, determining the weighted breathing frequency based on human activity information and breathing frequency may specifically include: determining the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency, and then obtaining the weighted breathing frequency. Specifically, there are significant differences in the breathing frequencies of users in different age groups. The age group of the user can be accurately determined through the detected breathing frequency, and then the number of users in different age groups can be determined.

[0034] In a preferred embodiment, the age groups may include three: children, young and middle-aged people, and the elderly. And, users with breathing frequencies from the first frequency to the second frequency can be classified as young and middle-aged people, users with breathing frequencies from the second frequency to the third frequency can be classified as the elderly, and users with breathing frequencies from the third frequency to the fourth frequency can be classified as children. Generally, the breathing frequency gradually decreases with age. However, due to the changes in physiological functions during the aging process, the breathing frequency of the elderly usually increases slightly. Therefore, the first frequency, the second frequency, the third frequency, and the fourth frequency increase in sequence.

[0035] After determining the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency, the formula can be used to calculate the weighted breathing frequency. And determining the fresh air speed of the air conditioner based on the weighted breathing frequency may include: querying a preset information table to obtain the fresh air speed corresponding to the weighted breathing frequency, where the information table pre-stores the fresh air speeds corresponding to different weighted breathing frequencies, and the weighted breathing frequency is positively correlated with the fresh air speed.

[0036] That is to say, the greater the weighted breathing frequency, the higher the fresh air speed; the smaller the weighted breathing frequency, the lower the fresh air speed. This is because the greater the weighted breathing frequency, it indicates that the users in the indoor environment need more fresh oxygen. Therefore, the higher the fresh air speed, which can introduce a large amount of fresh oxygen into the indoor environment to meet the ventilation needs of the users.

[0037] After determining the fresh air speed of the air conditioner based on human activity information and breathing frequency in step S106, step S108 can be executed to control the air conditioner to operate at the determined fresh air speed. Specifically, the fresh air speed can be adjusted by adjusting the fan speed of the air conditioner. The faster the fan speed, the higher the fresh air speed; the slower the fan speed, the lower the fresh air speed.

[0038] In a specific embodiment, the fresh air speeds of the air conditioner may include: high speed, medium speed, and low speed. Then, when it is determined that the fresh air speed of the air conditioner is high speed, the air conditioner can be controlled to operate at high speed. When it is determined that the fresh air speed of the air conditioner is medium speed, the air conditioner can be controlled to operate at medium speed. When it is determined that the fresh air speed of the air conditioner is low speed, the air conditioner can be controlled to operate at low speed. By making the air conditioner operate at the determined fresh air speed, it can fully ensure that the fresh air speed of the air conditioner conforms to the current actual situation and meets the user's usage requirements.

[0039] In summary, the control method of the air conditioner in this embodiment, by receiving the trigger signal for turning on the fresh air mode of the air conditioner, detecting the human activity information and breathing frequency of all users in the indoor environment using the WiFi signal, determining the fresh air speed of the air conditioner according to the human activity information and breathing frequency, and controlling the air conditioner to operate at the determined fresh air speed, can automatically adjust the fresh air speed of the air conditioner according to the actual situation, improve the intelligent level of the air conditioner, save the user's time and energy, and enhance the user's usage experience.

[0040] In some alternative embodiments, higher technical effects can be achieved for the air conditioner by further optimizing and configuring the above steps. The following details the control method of the air conditioner in this embodiment in combination with the introduction of an alternative execution process of this embodiment. This embodiment is only an example of the execution process. In specific implementation, the execution order and operating conditions of some steps can be modified according to specific implementation requirements. Figure 2 It is a detailed flowchart of the control method of the air conditioner according to an embodiment of the present invention. The control method of the air conditioner includes the following steps:

[0041] Step S202: Receive the trigger signal for turning on the fresh air mode of the air conditioner;

[0042] Step S204: Detect the human activity information and breathing frequency by checking the channel status information of the WiFi signal;

[0043] Step S206: Determine the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency;

[0044] Step S208: Use the formula to calculate the weighted breathing frequency;

[0045] Step S210: Query the preset information table to obtain the fresh air speed corresponding to the weighted breathing frequency;

[0046] Step S212: Control the air conditioner to operate at the determined fresh air speed.

[0047] In the above steps, the specific manner in which step S202 receives the trigger signal for turning on the fresh air mode of the air conditioner may include: receiving the trigger signal sent by the display device, voice device, remote control of the air conditioner, or the mobile terminal bound to the air conditioner. The mobile terminal may be a portable intelligent device, such as a smart phone, a tablet computer, etc.

[0048] In step S204, the human activity information and respiratory rate are detected by checking the channel state information of the WiFi signal. Specifically, by checking the CSI signal, the signal changes caused by human respiration can be monitored. In addition, when a person moves within the area covered by the WiFi signal, the signal will come into contact with the person and change, and can even be reflected to other people. Therefore, this phenomenon can be utilized to monitor the human activity information through the WiFi signal. Monitoring the human activity information can mainly determine the specific number of users in the indoor environment.

[0049] In step S206, the number of users in different age groups and the average respiratory rate of each age group are determined according to the respiratory rate. Specifically, there are significant differences in the respiratory rates of users in different age groups. By detecting the respiratory rate, the age group of the user can be accurately determined, and then the number of users in different age groups can be determined. In a preferred embodiment, the age groups may include three: children, young and middle-aged people, and the elderly. And, users with a respiratory rate from the first frequency to the second frequency can be classified as young and middle-aged people, users with a respiratory rate from the second frequency to the third frequency can be classified as the elderly, and users with a respiratory rate from the third frequency to the fourth frequency can be classified as children.

[0050] Generally, the respiratory rate gradually decreases with age. However, due to the changes in physiological functions during the aging process, the respiratory rate of the elderly usually increases slightly. Therefore, the first frequency, the second frequency, the third frequency, and the fourth frequency increase in sequence. For example, the first frequency, the second frequency, the third frequency, and the fourth frequency may be 12 times / minute, 16 times / minute, 20 times / minute, and 40 times / minute respectively.

[0051] The following introduces several specific embodiments: If the respiratory rates of all users in the indoor environment are detected to be 13 times / minute, 15 times / minute, and 30 times / minute respectively, then it can be determined that there are 2 young and middle-aged people and 1 child. If the respiratory rates of all users in the indoor environment are detected to be 18 times / minute and 35 times / minute respectively, then it can be determined that there is 1 elderly person and 1 child. If the respiratory rates of all users in the indoor environment are detected to be 14 times / minute, 15 times / minute, 19 times / minute, and 25 times / minute respectively, then it can be determined that there are 2 young and middle-aged people, 1 elderly person, and 1 child.

[0052] As for the average breathing frequency of each age group, the average breathing frequency of each age group can be calculated based on the values of the above-mentioned first frequency, second frequency, third frequency, and fourth frequency. For example, the average breathing frequency of young and middle-aged people can be the average value between the first frequency and the second frequency, that is, 14 times per minute; the average breathing frequency of the elderly can be the average value between the second frequency and the third frequency, that is, 18 times per minute; the average breathing frequency of children can be the average value between the third frequency and the fourth frequency, that is, 30 times per minute.

[0053] Alternatively, the average breathing frequency of each age group can also be calculated based on the actual breathing frequency of the user obtained through actual detection. For example, there are 2 young and middle-aged people, and their breathing frequencies are 13 times per minute and 15 times per minute respectively. Then the average breathing frequency of young and middle-aged people can be (13 + 15) / 2, that is, 14 times per minute. Another example, there are 3 children, and their breathing frequencies are 30 times per minute, 35 times per minute, and 25 times per minute respectively. Then the average breathing frequency of young and middle-aged people can be (30 + 35 + 25) / 3, that is, 30 times per minute. Another example, there are 2 elderly people, and their breathing frequencies are 18 times per minute and 19 times per minute respectively. Then the average breathing frequency of young and middle-aged people can be (18 + 19) / 2, that is, 18.5 times per minute.

[0054] After determining the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency in step S206, step S208 can be executed to calculate the weighted breathing frequency using the formula where H is the weighted breathing frequency, X1 is the number of children, H1 is the average breathing frequency of children; X2 is the number of the elderly, H2 is the average breathing frequency of the elderly; X3 is the number of young and middle-aged people, H3 is the average breathing frequency of young and middle-aged people.

[0055] The following introduces a specific embodiment: The detected breathing frequencies of all users in the indoor environment are 14 times per minute, 15 times per minute, 19 times per minute, and 25 times per minute respectively. It is determined that there are 2 young and middle-aged people, 1 elderly person, and 1 child. That is, X1 is 1, X2 is 1, X3 is 2. The average breathing frequency of each age group can be calculated based on the actual breathing frequency of the user obtained through actual detection, that is, H1 is 25, H2 is 19, and H3 is (14 + 15) / 2 = 14.5. Substitute the specific values of the above parameters into the formula Then the weighted breathing frequency H can be obtained as 5.85.

[0056] The following introduces another specific embodiment: The breathing frequencies of all users in the indoor environment are detected to be 13 times per minute, 17 times per minute, 18 times per minute, 22 times per minute, and 26 times per minute respectively. It is determined that there is 1 young and middle-aged person, 2 elderly people, and 2 children. That is, X1 is 2, X2 is 2, and X3 is 1. The average breathing frequencies of each age group can be calculated based on the values of the first frequency, second frequency, third frequency, and fourth frequency. That is, H1 is 30, H2 is 18, and H3 is 14. Substitute the specific values of the above parameters into the formula That is, the weighted breathing frequency H can be obtained as 8.24.

[0057] It should be noted that the coefficients in front of the number of children X1 and the number of elderly people X2 in the formula are both 0.4, and the coefficient in front of the number of young and middle-aged people X3 is 0.2. This means that when calculating the weighted breathing frequency, more attention is paid to the situation of children and the elderly. That is, for the children and the elderly who need more care and consideration, the weighted breathing frequency and the subsequent fresh air speed are determined, so that the fresh air speed of the air conditioner takes into account everyone in the indoor environment while paying more attention to the needs of children and the elderly in the indoor environment. In some other embodiments, the coefficients 0.4, 0.4, and 0.2 in front of X1, X2, and X3 in the formula can also be modified to other values according to the actual situation, such as making the modification closer, or appropriately increasing the coefficient in front of the group that pays more attention to comfort.

[0058] Step S210 queries the preset information table to obtain the fresh air speed corresponding to the weighted breathing frequency. The information table pre-stores the fresh air speeds corresponding to different weighted breathing frequencies, and the weighted breathing frequency is positively correlated with the fresh air speed. That is to say, the greater the weighted breathing frequency, the higher the fresh air speed; the smaller the weighted breathing frequency, the lower the fresh air speed. This is because the greater the weighted breathing frequency, the more fresh oxygen the users in the indoor environment need. Therefore, the higher the fresh air speed, the more fresh oxygen can be introduced into the indoor environment to meet the ventilation needs of the users.

[0059] Step S212 controls the air conditioner to operate at the determined fresh air speed. That is to say, the air conditioner can be controlled to operate at the fresh air speed corresponding to the weighted breathing frequency obtained in step S210. In a specific embodiment, the fresh air speed of the air conditioner can include: high wind speed, medium wind speed, and low wind speed. Then, when it is determined that the fresh air speed of the air conditioner is high wind speed, the air conditioner can be controlled to operate at high wind speed. When it is determined that the fresh air speed of the air conditioner is medium wind speed, the air conditioner can be controlled to operate at medium wind speed. When it is determined that the fresh air speed of the air conditioner is low wind speed, the air conditioner can be controlled to operate at low wind speed.

[0060] By checking the channel status information of the WiFi signal to detect human activity information and breathing frequency, the number of users in different age groups and the average breathing frequency of each age group can be automatically determined, and then the weighted breathing frequency can be obtained. The fresh air speed corresponding to the weighted breathing frequency can be determined so that the air conditioner can be automatically adjusted later. The whole process effectively saves the user's time and energy in manual setting and adjustment, greatly improving the intelligence of the air conditioner.

[0061] It should be noted that the specific values ​​of the first frequency, the second frequency, the third frequency, and the fourth frequency are only examples, and are not limitations of the present invention. In some other embodiments, they can be set to other values ​​according to actual conditions. In addition, the respiratory frequency range of each age group can be regarded as the situation in the user's health state. In extreme cases, for example, if the respiratory frequency is detected to be less than the first frequency or greater than the fourth frequency, it may be that the user has a physical problem. A prompt message can be output through the display device, voice device, or mobile terminal bound to the air conditioner of the air conditioner to remind the user to pay attention to the body and check in time.

[0062] In summary, the control method of the air conditioner in this embodiment determines the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency, and then obtains the weighted breathing frequency, and then determines the fresh air speed according to the weighted breathing frequency. This can make the fresh air speed of the air conditioner conform to the current actual situation, fully meet the user's usage needs, and further enhance the user's usage experience.

[0063] This embodiment further provides an air conditioner, which may include a controller 300 . Figure 3 FIG. 3 is a schematic block diagram of a controller 300 of an air conditioner according to an embodiment of the present invention. Figure 3 As shown, the controller 300 may include: a processor 310 and a memory 320 , wherein the memory 320 stores a machine executable program 321 , and when the machine executable program 321 is executed by the processor 310 , it is used to implement any of the above-mentioned air conditioner control methods.

[0064] The processor 310 may be a central processing unit (CPU) or a digital processing unit, etc. The processor 310 sends and receives data through a communication interface. The memory 320 is used to store a machine executable program 321 executed by the processor 310. The memory 320 is any medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer, and may also be a combination of multiple memories 320.

[0065] The above-mentioned machine-executable program 321 can be downloaded from a computer-readable storage medium to the corresponding computing / processing device or downloaded and installed on the controller 300 via a network (such as the Internet, local area network, wide area network, and / or wireless network). The controller 300 can be used to control the operation of the air conditioner itself, receive signals from other devices, and send signals to other devices. For example, it can send signals to a mobile terminal and receive signals sent by the mobile terminal.

[0066] It should be noted that the control method of the air conditioner implemented by the air conditioner in this embodiment, by receiving a trigger signal to turn on the fresh air mode of the air conditioner, uses the WiFi signal to detect the human activity information and breathing frequency of all users in the indoor environment, determines the fresh air speed of the air conditioner according to the human activity information and breathing frequency, and controls the air conditioner to operate at the determined fresh air speed. It can automatically adjust the fresh air speed of the air conditioner according to the actual situation, improve the intelligence level of the air conditioner, save the time and energy of users, and enhance the user experience.

[0067] In addition, the control method of the air conditioner implemented by the air conditioner in this embodiment determines the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency, and then obtains the weighted breathing frequency, and then determines the fresh air speed according to the weighted breathing frequency, which can make the fresh air speed of the air conditioner conform to the current actual situation, fully meet the use needs of users, and further enhance the user experience.

[0068] This embodiment also provides a machine-readable storage medium 400. Figure 4 FIG. is a schematic diagram of a machine-readable storage medium 400 according to an embodiment of the present invention. The machine-readable storage medium 400 stores a machine-executable program 321. When the machine-executable program 321 is executed by the processor 310, it implements the control method of the air conditioner in any of the above embodiments.

[0069] The machine-readable storage medium 400 of this embodiment can be an electronic memory such as a flash memory, EEPROM (electrically erasable programmable read-only memory), EPROM, hard disk, or ROM. The machine-readable storage medium 400 has a storage space for the machine-executable program 321 for executing any method steps in the above methods. These machine-executable programs 321 can be read from or written into one or more computer program products.

[0070] These computer program products include program code carriers such as hard disks, compact discs (CDs), memory cards, or floppy disks. When the device where the machine-readable storage medium 400 is located runs the above machine-executable program 321, it can execute each step in the above-described method.

[0071] In the description of this embodiment, the descriptions referring to terms such as "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples.

[0072] Up to this point, those skilled in the art should recognize that although a number of exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived from the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and recognized as covering all these other variations or modifications.

Claims

1. A control method for an air conditioner, comprising: Receiving a trigger signal for turning on the fresh air mode of the air conditioner; Detecting the human activity information and breathing frequency of all users in the indoor environment using a WiFi signal; Determining the fresh air speed of the air conditioner according to the human activity information and the breathing frequency; And Controlling the air conditioner to operate at the determined fresh air speed.

2. The method according to claim 1, wherein the step of detecting the human activity information and breathing frequency of all users in the indoor environment using a WiFi signal comprises: Detecting the human activity information and the breathing frequency by checking the channel state information of the WiFi signal.

3. The method according to claim 1, wherein the step of determining the fresh air speed of the air conditioner according to the human activity information and the breathing frequency comprises: Determining a weighted breathing frequency according to the human activity information and the breathing frequency; And Determining the fresh air speed according to the weighted breathing frequency.

4. The method according to claim 3, wherein the step of determining a weighted breathing frequency according to the human activity information and the breathing frequency comprises: Determining the number of users in different age groups and the average breathing frequency of each age group according to the breathing frequency, and further obtaining the weighted breathing frequency.

5. The method according to claim 4, wherein The age groups include three: children, young and middle-aged people, and the elderly, and Classifying the users with a breathing frequency from a first frequency to a second frequency as young and middle-aged people; Classifying the users with a breathing frequency from the second frequency to a third frequency as the elderly; Classifying the users with a breathing frequency from the third frequency to a fourth frequency as children, wherein the first frequency, the second frequency, the third frequency, and the fourth frequency increase in sequence.

6. The method according to claim 5, wherein the step of obtaining the weighted breathing frequency comprises: Using the formula calculate the weighted breathing frequency, where H is the weighted breathing frequency, X1 is the number of children, H1 is the average breathing frequency of children; X2 is the number of elderly people, H2 is the average breathing frequency of the elderly; X3 is the number of young and middle-aged people, H3 is the average breathing frequency of young and middle-aged people.

7. The method according to claim 3, wherein the step of determining the fresh air speed according to the weighted breathing frequency comprises: Querying a preset information table to obtain the fresh air speed corresponding to the weighted breathing frequency, wherein the information table prestores the fresh air speeds corresponding to different weighted breathing frequencies, and the weighted breathing frequency is positively correlated with the fresh air speed.

8. The method according to claim 1, wherein the step of receiving a trigger signal for turning on the fresh air mode of the air conditioner comprises: Receiving the trigger signal sent by the display device, voice device, remote controller of the air conditioner, or a mobile terminal bound to the air conditioner.

9. An air conditioner, comprising: A controller, the controller includes a memory and a processor, wherein the memory stores a machine-executable program, and when the machine-executable program is executed by the processor, it implements the control method of the air conditioner according to any one of claims 1 to 8.

10. A machine-readable storage medium, on which a machine-executable program is stored, and when the machine-executable program is executed by a processor, it implements the control method of the air conditioner according to any one of claims 1 to 8.

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