WO2021227429A1 - Air conditioner and control method therefor - Google Patents

Abstract

An air conditioner and a control method therefor. The control method comprises: acquiring a thermal insulation bedding coverage rate and a thermal insulation bedding thermal insulation coefficient of a target interactive user in an indoor environment where an indoor unit of an air conditioner is located (S302); determining target operating parameters of the air conditioner according to the thermal insulation bedding coverage rate and the thermal insulation bedding thermal insulation coefficient (S304); and controlling the air conditioner to operate according to the target operating parameters (S306).

Description

Air conditioner and its control method

This application is filed based on a Chinese patent application with an application number of 202010871657.0 and an application date of August 26, 2020, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated by reference into this application.

Technical field

The invention relates to smart home appliances, in particular to an air conditioner and a control method thereof.

Background technique

The air conditioner is used to adjust the air parameters of the indoor environment.

In the prior art, some air conditioners can only operate according to the parameters set by the user, and cannot automatically determine the operating parameters. The degree of intelligence is low, and the current user's needs cannot be met. When the user is sleeping, it may cause discomfort due to the inability to adjust the operating parameters of the air conditioner in time, and even cause wind chill.

Therefore, how to make the air conditioner automatically determine the operating parameters according to the user's sleep scene and improve the degree of intelligence has become a technical problem to be solved by those skilled in the art.

Summary of the invention

An object of the present invention is to provide an air conditioner and a control method thereof that at least partially solve the above-mentioned problems.

A further object of the present invention is to improve the degree of intelligence of the air conditioner, so that the air conditioner can automatically determine the operating parameters according to the user's sleep scene, and improve the degree of intelligence.

Another further object of the present invention is to simplify the structure of the air conditioner and reduce the manufacturing cost.

A further object of the present invention is to improve the adjustment accuracy of the air conditioner, so that the operation of the air conditioner is more in line with the current sleep state of the target interactive user.

According to one aspect of the present invention, there is provided a control method of an air conditioner, including: obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit of the air conditioner is located; The bedding insulation coefficient determines the target operating parameters of the air conditioner; controls the air conditioner to operate according to the target operating parameters.

Optionally, in the step of determining the target operating parameters of the air conditioner according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding, the target operating parameters include at least the target operating temperature; and the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding are determined The steps of the target operating parameters include: _{calculating the target operating temperature according to the formula T=T 0} -aX-bY+c, where T is the target operating temperature, T ₀ is the preset reference temperature value, and X is the thermal insulation coefficient of the thermal insulation bedding, Y is the coverage rate of thermal insulation bedding, and a, b, and c are all preset constants.

Optionally, the step of obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit of the air conditioner is located includes: obtaining temperature field distribution data and/or image information of the target interactive user; according to the temperature field distribution The data and/or image information determines the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding.

Optionally, the step of determining the coverage rate of the thermal insulation bedding according to the temperature field distribution data includes: determining the area of the exposed part of the target interactive user according to the temperature field distribution data; and determining the coverage rate of the thermal insulation bedding according to the area of the exposed part.

Optionally, the step of determining the area of the exposed part of the target interactive user according to the temperature field distribution data includes: clustering the temperature field distribution data of the target interactive user according to a preset clustering rule to obtain the exposed part contour of the target interactive user ; Calculate the area of the exposed part contour to obtain the exposed part area of the target interactive user.

Optionally, the step of determining the thermal insulation coefficient of the thermal insulation bedding according to the temperature field distribution data includes: determining the temperature change rate of the thermal insulation bedding of the target interactive user according to the temperature field distribution data; determining the thermal insulation of the thermal insulation bedding according to the temperature change rate of the thermal insulation bedding of the target interactive user coefficient.

Optionally, the step of determining the temperature change rate of the thermal insulation bedding of the target interactive user according to the temperature field distribution data includes: determining the temperature change curve of the thermal insulation bedding of the target interactive user according to the temperature field distribution data, and the temperature change curve is the thermal insulation of the target interactive user The temperature change curve of the bedding with time; the temperature change rate of the thermal insulation bedding is determined according to the temperature change curve.

Optionally, the step of determining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding according to the image information includes: obtaining pre-saved human body image samples and thermal insulation bedding image samples of the target interactive user; and comparing the image information with the human body image samples and thermal insulation bedding image samples Matching to determine the coverage rate of thermal bedding and thermal insulation coefficient of thermal bedding.

Optionally, after the step of controlling the air conditioner to operate according to the target operating parameters, the method further includes: acquiring the body posture of the target interactive user; and further adjusting the target operating parameters of the air conditioner according to the body posture of the target interactive user.

According to another aspect of the present invention, there is also provided an air conditioner, including a processor and a memory, and a control program is stored in the memory. When the control program is executed by the processor, it is used to implement the control method according to any one of the above.

The air conditioner and its control method of the present invention can determine the air conditioner according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding after obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the target interactive user in the indoor environment where the indoor unit of the air conditioner is located This improves the degree of intelligence of the air conditioner, so that the air conditioner can automatically determine the target operating parameters according to the user’s sleep scene, which improves the user experience.

Furthermore, the air conditioner and its control method of the present invention can separately determine the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding by analyzing the temperature field distribution data of the target interactive user, without adding other structures, which can simplify the air conditioner The structure reduces manufacturing costs.

Furthermore, the air conditioner and its control method of the present invention determine the exposed area of the target interactive user through the temperature field distribution data of the target interactive user, which can accurately calculate the exposed area of the target interactive user, thereby improving the air conditioning The adjustment accuracy of the air conditioner makes the operation of the air conditioner more in line with the current sleep state of the target interactive user.

Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will better understand the above and other objectives, advantages and features of the present invention.

Description of the drawings

Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary but not restrictive manner with reference to the accompanying drawings. The same reference signs in the drawings indicate 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 attached picture:

Fig. 1 is a schematic block diagram of an air conditioner according to an embodiment of the present invention;

Fig. 2 is a schematic diagram of an indoor unit of an air conditioner according to an embodiment of the present invention;

Fig. 3 is a schematic diagram of a control method of an air conditioner according to an embodiment of the present invention;

Fig. 4 is a control flowchart of an air conditioner according to an embodiment of the present invention.

Detailed ways

Fig. 1 is a schematic block diagram of an air conditioner according to an embodiment of the present invention.

According to the overall structure, the air conditioner 10 may generally include: an air conditioning system 200, a processor 410, a memory 420, and a temperature field detection device. The air conditioning system 200 may include a refrigeration system, and may further include one or more of a humidity control system, a fresh air system, a deodorization system, a purification system, and a sterilization system. The humidity control system may include at least one dehumidification unit, which is respectively disposed in the indoor environment where the indoor unit 110 of the air conditioner 10 is located, and is used to consume water vapor in the indoor environment. The humidity control system may also include a plurality of humidification units, which are respectively arranged in the indoor environment and used to provide water vapor to the indoor environment to increase the humidity of the indoor environment.

The refrigeration system may be a compression refrigeration system. According to the installation position of the components, the air conditioner 10 may generally include an indoor unit 110 and an outdoor unit. The indoor unit 110 and the outdoor unit of the air conditioner 10 effectively cooperate to complete the cooling and heating cycle of the air conditioner 10, thereby realizing the cooling and heating of the indoor temperature.

The refrigeration system may include a compressor, an outdoor unit heat exchanger, and an indoor unit heat exchanger. The operation mode of the air conditioner 10 may include one or more of a cooling mode, a heating mode, a dehumidification mode, a humidification mode, and a fresh air mode. Since the above-mentioned operation mode is known to those skilled in the art, it will not be described in detail here.

FIG. 2 is a schematic diagram of the indoor unit 110 of the air conditioner 10 according to an embodiment of the present invention.

The indoor unit 110 of this embodiment may be a vertical type, such as a square cabinet unit or a circular cabinet unit, or a wall-mounted type, but is not limited to this. FIG. 2 only uses the indoor unit 110 of the wall-mounted air conditioner as an example. Those skilled in the art should be fully capable of expanding for other models based on the knowledge of this embodiment, which will not be shown here.

The processor 410 and the memory may form a control device, and the control device may be provided in the indoor unit 110. A control program 421 is stored in the memory 420, and the control program 421 is used to implement the control method of the air conditioner 10 in any one of the following embodiments when the control program 421 is executed by the processor 410. The processor 410 may be a central processing unit (CPU), or a digital processing unit (DSP), or the like. The memory 420 is used to store a program executed by the processor 410. The memory 420 may be any medium that can be used to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto. The memory 420 may also be a combination of various memories 420. Since the control program 421 is executed by the processor 410 to implement each process of the following method embodiments, and can achieve the same technical effect, in order to avoid repetition, details are not repeated here.

The temperature field detection device may be arranged on the casing 111 of the indoor unit 110 to detect the temperature field distribution data of the target interactive user. The temperature field distribution data of the target interactive user refers to the time and/or spatial distribution data of the temperature of each body part of the target interactive user. The temperature field detection device may be an infrared sensor or any other type of temperature detection device. In some optional embodiments, the temperature field detection device can also be installed separately from the casing 111 of the indoor unit 110, and can be set in any position in the indoor environment that is close to the sleeping position of the target interactive user, for example, On the ceiling above the bed, or on the cupboard or wall beside the bed.

In other optional embodiments, the air conditioner 10 may not be provided with a temperature field detection device. The air conditioner 10 may establish a data connection with an external temperature field detection device in advance. For example, the air conditioner 10 may be paired with an external temperature field detection device through wireless communication methods such as Bluetooth or Wifi to achieve pre-binding. When the air conditioner 10 needs to inquire about the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user, the query request can be sent to the temperature field detection device data connected with the air conditioner 10, which is beneficial to reduce the manufacturing cost of the air conditioner 10. Among them, the heat-preserving bedding may be a covering covering the body of the target interactive user during sleep, for example, a bedding.

In other optional embodiments, the air conditioner 10 may further include an image capture device. The image acquisition device is configured to collect information (for example, images and/or dynamic videos) of the target interactive user in the indoor environment to determine the coverage rate of the thermal insulation bedding and/or the thermal insulation coefficient of the thermal insulation bedding according to the information of the target interactive user.

The image capture device of this embodiment may include an image capture device. The image collector can be at least one camera. The camera may be set on the casing 111 of the indoor unit 110, or may be set at a designated position in the indoor environment according to actual needs. The camera may be a high-precision camera. The image capture device uses the image capture device to capture images and/or dynamic videos of the target interactive user. The image acquisition device may also include an AI intelligent recognition system. The image acquisition device can use the AI intelligent recognition system to process the images and/or dynamic videos taken by the image acquisition device, thereby identifying the coverage rate of the thermal insulation bedding and/or the thermal insulation coefficient of the thermal insulation bedding of the target interactive user. For example, based on the AI intelligent recognition system, feature extraction can be performed on target interactive users and their thermal insulation bedding. Using deep learning-based human body feature recognition and thermal bedding feature recognition, the target interactive user’s image in the image is identified and analyzed, and the target interactive user’s thermal bedding coverage rate and/or thermal insulation coefficient and/or target interactive user are obtained Body posture.

In some further embodiments, the air conditioner 10 may establish a data connection with an external image capture device in advance to reduce manufacturing costs.

FIG. 3 is a schematic diagram of a control method of the air conditioner 10 according to an embodiment of the present invention.

The control method of this embodiment can be applied to various types and thicknesses of thermal insulation bedding. For example, the thermal insulation bedding can be cotton quilts, duvets, silk quilts, chemical fiber quilts, camel hair quilts, linen quilts, and summer cool quilts. Etc., the control method of this embodiment is suitable for both cooling mode and heating mode, especially suitable for application scenarios where heat preservation bedding is thinner in cooling mode. For example, the thickness of heat preservation bedding can be roughly the same as that of summer clothes. same.

For example, the air conditioner 10 may be preset with a sleep monitoring mode, and the user may turn on the sleep monitoring mode when preparing to go to bed under summer working conditions and when the thermal insulation bedding is thin. After the air conditioner 10 enters the sleep monitoring mode, the control method of any one of the following embodiments can be executed. Those skilled in the art should be fully capable of expanding for other application scenarios on the basis of understanding the following embodiments, and will not give examples one by one here. After the air conditioner 10 enters the sleep monitoring mode, it can first operate according to the initial operating parameters set by the user. During the operation according to the initial operating parameters, the control method of any of the following embodiments can be executed.

The control method of the air conditioner 10 may generally include:

Step S302: Obtain the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit 110 of the air conditioner 10 is located.

The coverage rate of thermal bedding may refer to the ratio between the area of the exposed part of the target interactive user and the area of all body parts of the target interactive user. The area of the exposed part of the target interactive user refers to the area of the body part of the target interactive user that is not covered by the thermal insulation bedding.

The thermal insulation coefficient of the thermal insulation bedding can be measured by the thermal conductivity of the thermal insulation bedding covered by the target interactive user, and the thermal insulation coefficient of the thermal insulation bedding can be determined according to the temperature change rate of the surface temperature of the thermal insulation bedding covered by the target interactive user.

In step S304, the target operating parameters of the air conditioner 10, for example, the target operating temperature and/or the target operating humidity and/or the target air volume and/or the target wind speed are determined according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding.

In step S306, the air conditioner 10 is controlled to operate according to the target operating parameters.

Using the above method, the air conditioner 10 of this embodiment can determine the target operating parameters of the air conditioner 10 according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding after obtaining the coverage rate of the thermal insulation bedding and thermal insulation coefficient of the target interactive user in the indoor environment This improves the degree of intelligence of the air conditioner 10, so that the air conditioner 10 can automatically determine the target operating parameters according to the user's sleep scene, thereby improving the user experience.

In the above step S302, the step of obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit 110 of the air conditioner 10 is located may include: obtaining temperature field distribution data and/or image information of the target interactive user, Determine the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding according to the temperature field distribution data and/or image information.

In this embodiment, the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding can be determined only based on the temperature field distribution data.

The temperature field distribution data of the target interactive user is used to record the temperature distribution data of various body parts of the target interactive user in time and/or space. Although the target interactive user is covered with thermal bedding when sleeping, because the thermal bedding is thin, the temperature field detection device emits a detection signal to the target interactive user to obtain the reflection signal of the detection signal, and analyze the reflection signal of the detection signal. Obtain the temperature field distribution data of the target interactive user.

By analyzing the temperature field distribution data of the target interactive user, the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding can be determined respectively. The logic is simple and no additional structure is required. This can simplify the structure of the air conditioner 10 and reduce the manufacturing cost.

The step of determining the coverage rate of the thermal insulation bedding according to the temperature field distribution data may include: determining the area of the exposed part of the target interactive user according to the temperature field distribution data, and determining the coverage rate of the thermal insulation bedding according to the area of the exposed part. Wherein, the step of determining the coverage rate of the thermal insulation bedding according to the area of the exposed part may include: obtaining the preset area of all the body parts of the target interactive user, and calculating the difference between the preset area of all the body parts of the target interactive user and the area of the exposed part Then calculate the ratio between the above-mentioned difference and the preset area of all body parts of the target interactive user to obtain the coverage rate of the thermal insulation bedding.

The step of determining the area of the exposed part of the target interactive user according to the temperature field distribution data may include: clustering the temperature field distribution data of the target interactive user according to a preset clustering rule to obtain the exposed part contour of the target interactive user, and calculate the exposure The area of the part contour is the area of the exposed part of the target interactive user. When calculating the area of the contour of the exposed part, the contour of the exposed part can be compared with the preset contour unit to determine the area ratio between the contour of the exposed part and the contour unit, so as to calculate the contour of the exposed part by using the area ratio and the area of the contour unit The area of the preset contour unit is a preset fixed value.

In the step of clustering the temperature field distribution data of the target interactive user according to the preset clustering rules, the temperature of each body part of the target interactive user can be analyzed at a certain moment, and the head of the target interactive user can be analyzed. The temperature is the reference temperature. The deviation degree (for example, variance) between the temperature of the other body parts of the target interactive user and the reference temperature is calculated, and the body parts whose deviation degree is less than the preset deviation threshold are marked to obtain the target interactive user’s Area of exposed part. The preset deviation threshold can be any value in the range of 0.01 to 0.5.

The temperature field distribution data of the target interactive user is used to determine the exposed area of the target interactive user, which can accurately calculate the exposed area of the target interactive user, thereby improving the adjustment accuracy of the air conditioner 10 and making the operation of the air conditioner 10 more consistent. The current sleep state of the target interactive user.

The step of determining the thermal insulation coefficient of the thermal insulation bedding according to the temperature field distribution data may include: determining the temperature change rate of the thermal insulation bedding of the target interactive user according to the temperature field distribution data, and determining the thermal insulation coefficient of the thermal insulation bedding according to the temperature change rate of the thermal insulation bedding.

The temperature change rate of thermal insulation bedding refers to how fast the surface temperature of thermal insulation bedding changes over time. The step of determining the temperature change rate of the thermal insulation bedding of the target interactive user according to the temperature field distribution data may include: determining the temperature change curve of the thermal insulation bedding of the target interactive user according to the temperature field distribution data, where the temperature change curve is the temperature of the thermal insulation bedding of the target interactive user According to the change curve of time, the temperature change rate of the thermal insulation bedding is determined according to the temperature change curve.

Among them, in the step of determining the temperature change curve of the thermal insulation bedding of the target interactive user according to the temperature field distribution data, a part of the thermal insulation bedding can be selected for research, and the temperature change curve can be drawn based on the corresponding relationship between the temperature of the part and the time. In the step of determining the temperature change rate of the thermal insulation bedding by the temperature change curve, the slope of the temperature change curve within a certain set time period can be used as the thermal insulation coefficient of the thermal insulation bedding. The set time period can be any value in the range of 5 to 15 minutes, for example, It can be 10 minutes. When the temperature field distribution data of the target interactive user is clustered according to the preset clustering rules, both the naked part contour of the target interactive user and the non-naked part contour of the target interactive user can be obtained. The contour of the non-exposed part is the contour of the body part covered with the thermal insulation bedding. It is possible to directly use any spot on the contour of the non-bare part as the research object, or select any spot in the contour of the non-bare part as the research object to draw the above-mentioned temperature change curve.

The step of determining the thermal insulation coefficient of the thermal insulation bedding according to the temperature change rate of the thermal insulation bedding may include: obtaining a plurality of preset temperature change rate ranges, and each temperature change rate range is set corresponding to a thermal insulation coefficient of the thermal insulation bedding, and the temperature change rate of the thermal insulation bedding Matching with multiple preset temperature change rate ranges to determine the temperature change rate range to which the temperature change rate of the thermal insulation bedding belongs, and use the thermal insulation coefficient of the thermal insulation bedding corresponding to the temperature change rate range as the thermal insulation coefficient of the thermal insulation bedding.

The thermal insulation coefficient of the thermal insulation bedding can be any value in the range of 0.1 to 1. The larger the thermal insulation coefficient of the thermal insulation bedding, the better the thermal insulation performance of the thermal insulation bedding. For example, within 10 minutes, the surface temperature of a chemical fiber quilt with a thickness of 2cm changes by 2°C; while a duvet with a thickness of 5cm changes by 0.5°C, it means that the thermal insulation performance of a thick duvet is better than that of a chemical fiber quilt with a small thickness. .

For example, the thermal insulation coefficient of thermal insulation bedding may include 0.1, 0.5, 1, and the corresponding temperature change rate ranges may be greater than 0.2°C/min, 0.05-0.2°C/min, and less than 0.05°C/min. When it is detected that the temperature change rate of the thermal insulation bedding of the target interactive user is 0.05°C/min, and the temperature change rate of the thermal insulation bedding belongs to the range of 0.05 to 0.2°C/min, it can be determined that the thermal insulation coefficient of the thermal insulation bedding is 0.5.

In some optional embodiments, the method for obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding can be changed. The step of obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit 110 of the air conditioner 10 is located may include: obtaining image information of the target interactive user, and determining the coverage rate of thermal insulation bedding and thermal insulation of the thermal insulation bedding according to the image information coefficient.

The step of determining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding according to the image information may include: obtaining pre-saved human body image samples and thermal insulation bedding image samples of the target interactive user, and matching the image information with the human body image samples and thermal insulation bedding image samples, To determine the coverage rate of thermal insulation bedding and thermal insulation coefficient of thermal insulation bedding.

When it is necessary to obtain the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding, a query request can be sent to the image acquisition device to obtain the image information of the target interactive user, and the AI intelligent recognition system in the image acquisition device can be driven to analyze and recognize the image information , In order to obtain the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding. The cloud platform of the air conditioner 10 can pre-store the human body image samples of the target interactive user who does not cover the thermal insulation bedding, and various types of thermal insulation bedding image samples. In the step of using the AI intelligent recognition system to analyze and recognize the image information, it can be Match the image information of the target interactive user with the pre-saved human body image samples of the target interactive user who does not cover the thermal insulation bedding to determine the coverage rate of the thermal insulation bedding. You can also compare the image information of the target interactive user with the pre-saved various types of thermal insulation bedding. The image samples of the thermal insulation bedding are matched to obtain the type of thermal insulation bedding, and the thermal insulation coefficient of the thermal insulation bedding is determined according to the type of thermal insulation bedding. The cloud platform of the air conditioner 10 also stores the type of each thermal insulation bedding and the corresponding thermal insulation coefficient of the thermal insulation bedding.

In other optional embodiments, the method for obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding may be further changed. The step of obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit 110 of the air conditioner 10 is located includes: obtaining temperature field distribution data and image information of the target interactive user, and according to the temperature field distribution data and image information Determine the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding. That is, the temperature field distribution data and image information can be comprehensively used to determine the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding. For example, you can first determine the position of the exposed part of the target interactive user and the position of the insulated bedding covered by the target interactive user's image information, and then drive the temperature field detection device to detect the contour of the exposed part and the temperature change curve of the insulated bedding, according to the exposed part The contour calculates the coverage rate of the thermal insulation bedding, and the thermal insulation coefficient of the thermal insulation bedding is calculated according to the temperature change curve of the thermal insulation bedding.

In the above step S304, the target operating parameter may at least include the target operating temperature. The target operating temperature refers to the temperature to which the indoor environment can be adjusted when the air conditioner 10 is operating. For example, the target operating temperature can be set to 26°C. When the air conditioner 10 operates according to the target operating temperature, the temperature of the indoor environment can reach or maintain at 26°C. Step S304 may include: calculating the target operating temperature according to the formula T=T ₀ -aX-bY+c, where T is the target operating temperature, T ₀ is the preset reference temperature value, X is the thermal insulation coefficient of the thermal insulation bedding, and Y is the thermal insulation coefficient of the thermal insulation bedding. Coverage rate of thermal insulation bedding, a, b, c are all preset constants. T ₀ can be any value in the range of 20 to 30°C, for example, it can be 24°C, 25°C, or 26°C. a, b, and c can each be any value in the range of 0.8 to 1.1, for example, a and b can be 0.9, and c can be 1.

When a and b are 0.9, c is 1, and T ₀ is 25°C, if the thermal insulation coefficient of bedding is 0.1 and the coverage rate of thermal bedding is 0, the target operating temperature calculated according to the formula is 25-0.9×0.1 -0+1=25.91°C, at this time, according to the principle of rounding to integer, the target operating temperature of the air conditioner 10 can be determined as 26°C.

When a and b are 0.9, c is 1, and T ₀ is 25°C, if the thermal insulation coefficient of bedding is 1, and the coverage rate of thermal bedding is 1, the target operating temperature calculated according to the formula is 25-0.9×1 -0.9+1=24.2°C, at this time, according to the principle of rounding to the nearest whole number, the target operating temperature of the air conditioner 10 can be determined to be 24°C. The adjustment accuracy of the operating temperature of the air conditioner 10 can be set to 0.5°C. If the target operating temperature calculated according to the formula is 24.3°C, the target operating temperature of the air conditioner 10 can be determined to be 24.5°C. If the target operating temperature is calculated according to the formula If the operating temperature is 24.1°C, the target operating temperature of the air conditioner 10 can be determined to be 24°C.

In some optional embodiments, the target operating parameters of the air conditioner 10 may also include a target wind speed and a target air volume. If it is determined that the target operating temperature of the air conditioner 10 is lower than the initial operating temperature according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding , Then the target wind speed and target air volume of the air conditioner 10 can be appropriately increased. If it is determined that the target operating temperature of the air conditioner 10 is higher than the initial operating temperature according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding, the target wind speed and the target air volume of the air conditioner 10 can be appropriately reduced.

In the above step S306, if it is determined according to step S304 that the target operating parameter is the same as the initial operating parameter of the air conditioner 10, the target operating parameter of the air conditioner 10 is not adjusted. The initial operating parameters of the air conditioner 10 refer to the operating parameters of the air conditioner 10 before performing the above-mentioned step S302.

After the above step S306, the control method may further include: acquiring the body posture of the target interactive user, and further adjusting the target operating parameters of the air conditioner 10 according to the body posture of the target interactive user. In the step of further adjusting the target operating parameters of the air conditioner 10 according to the body posture of the target interactive user, the target operating parameters may include at least target operating temperature, target wind speed, or target air volume. If the body posture of the target interactive user is a preset curled up posture ( For example, in a chest-holding posture, a head-holding posture, or a bowed waist posture, etc.), the target operating temperature of the air conditioner 10 can be increased, and the target wind speed and target air volume of the air conditioner 10 can be reduced.

Fig. 4 is a control flowchart of the air conditioner 10 according to an embodiment of the present invention.

Step S402: Obtain temperature field distribution data of the target interactive user.

Step S404: Perform clustering processing on the temperature field distribution data of the target interactive user according to a preset clustering rule, to obtain a bare part contour of the target interactive user.

In step S406, the area of the contour of the exposed part is calculated to obtain the area of the exposed part of the target interactive user.

In step S408, the coverage rate of the thermal insulation bedding is determined according to the area of the exposed part.

Step S410: Determine the temperature change curve of the thermal insulation bedding of the target interactive user according to the temperature field distribution data, where the temperature change curve is a change curve of the temperature of the thermal insulation bedding of the target interactive user over time.

Step S412: Determine the temperature change rate of the heat-preserving bedding according to the temperature change curve.

Step S414: Determine the thermal insulation coefficient of the thermal insulation bedding according to the temperature change rate of the thermal insulation bedding of the target interactive user.

In step S416, the target operating parameters of the air conditioner 10 are determined according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding. The target operating parameters include at least the target operating temperature. Calculate the target operating temperature according to the formula T=T ₀ -aX-bY+c, where T is the target operating temperature, T ₀ is the preset reference temperature value, X is the thermal insulation coefficient of the thermal insulation bedding, and Y is the coverage rate of the thermal insulation bedding, a, b, and c are all preset constants.

In step S418, the air conditioner 10 is controlled to operate according to the target operating parameters.

Step S420: Obtain the body posture of the target interactive user.

In step S422, the target operating parameters of the air conditioner 10 are further adjusted according to the body posture of the target interactive user.

The control method of the above embodiment is applicable to both the ordinary air conditioner 10 and the smart air conditioner 10. Using the above method, the air conditioner 10 and the control method thereof of this embodiment can obtain the coverage rate of the insulated bedding and the insulation coefficient of the insulated bedding of the target interactive user in the indoor environment where the indoor unit 110 of the air conditioner 10 is located, and the coverage rate of the insulated bedding can be And the thermal insulation coefficient of the thermal insulation bedding determines the target operating parameters of the air conditioner 10, which improves the degree of intelligence of the air conditioner 10, so that the air conditioner 10 can automatically determine the target operating parameters according to the user's sleep scene.

So far, those skilled in the art should realize that although multiple exemplary embodiments of the present invention have been illustrated and described in detail herein, they can still be disclosed according to the present invention without departing from the spirit and scope of the present invention. The content directly determines or derives many other variations or modifications that conform to the principles of the present invention. Therefore, the scope of the present invention should be understood and deemed to cover all these other variations or modifications.

Claims (10)

1. A control method of an air conditioner includes:

   Acquiring the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit of the air conditioner is located;

   Determining the target operating parameters of the air conditioner according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding;

   The air conditioner is controlled to operate according to the target operating parameters.
2. The control method according to claim 1, wherein:

   In the step of determining the target operating parameter of the air conditioner according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding, the target operating parameter includes at least a target operating temperature; and

   The step of determining the target operating parameters of the air conditioner according to the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding includes:

   Calculate the target operating temperature according to the formula T=T ₀ -aX-bY+c, where T is the target operating temperature, T ₀ is the preset reference temperature value, X is the thermal insulation coefficient of the thermal insulation bedding, Y Is the coverage rate of the thermal insulation bedding, and a, b, and c are all preset constants.
3. The control method according to claim 1, wherein:

   The step of obtaining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding of the target interactive user in the indoor environment where the indoor unit of the air conditioner is located includes:

   Acquiring temperature field distribution data and/or image information of the target interactive user;

   The coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding are determined according to the temperature field distribution data and/or image information.
4. The control method according to claim 3, wherein:

   The step of determining the coverage rate of the thermal insulation bedding according to the temperature field distribution data includes:

   Determining the area of the exposed part of the target interactive user according to the temperature field distribution data;

   The coverage rate of the heat-preserving bedding is determined according to the area of the exposed part.
5. The control method according to claim 4, wherein:

   The step of determining the area of the exposed part of the target interactive user according to the temperature field distribution data includes:

   Performing clustering processing on the temperature field distribution data of the target interactive user according to a preset clustering rule to obtain a bare part contour of the target interactive user;

   The area of the contour of the exposed part is calculated to obtain the area of the exposed part of the target interactive user.
6. The control method according to claim 3, wherein:

   The step of determining the thermal insulation coefficient of the thermal insulation bedding according to the temperature field distribution data includes:

   Determining the temperature change rate of the thermal insulation bedding of the target interactive user according to the temperature field distribution data;

   The thermal insulation coefficient of the thermal insulation bedding is determined according to the temperature change rate of the thermal insulation bedding of the target interactive user.
7. The control method according to claim 6, wherein:

   The step of determining the temperature change rate of the thermal insulation bedding of the target interactive user according to the temperature field distribution data includes:

   Determining a temperature change curve of the thermal insulation bedding of the target interactive user according to the temperature field distribution data, where the temperature change curve is a change curve of the temperature of the thermal insulation bedding of the target interactive user over time;

   The temperature change rate of the thermal insulation bedding is determined according to the temperature change curve.
8. The control method according to claim 3, wherein:

   The step of determining the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding according to the image information includes:

   Acquiring pre-saved human body image samples and thermal insulation bedding image samples of the target interactive user;

   The image information is matched with the human body image sample and the thermal insulation bedding image sample to determine the coverage rate of the thermal insulation bedding and the thermal insulation coefficient of the thermal insulation bedding.
9. The control method according to claim 1, wherein after the step of controlling the air conditioner to operate according to the target operating parameters, the method further comprises:

   Acquiring the body posture of the target interactive user;

   The target operating parameters of the air conditioner are further adjusted according to the body posture of the target interactive user.
10. An air conditioner, including:

    A processor and a memory, wherein a control program is stored in the memory, and when the control program is executed by the processor, it is used to implement the control method according to any one of claims 1-9.

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