CN112128954A - Air conditioner and control method thereof - Google Patents
Air conditioner and control method thereof Download PDFInfo
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- CN112128954A CN112128954A CN202010871657.0A CN202010871657A CN112128954A CN 112128954 A CN112128954 A CN 112128954A CN 202010871657 A CN202010871657 A CN 202010871657A CN 112128954 A CN112128954 A CN 112128954A
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000004321 preservation Methods 0.000 claims abstract description 166
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- 230000015654 memory Effects 0.000 claims description 11
- 238000009413 insulation Methods 0.000 description 59
- 238000001514 detection method Methods 0.000 description 11
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 4
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- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000005057 refrigeration Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 238000007791 dehumidification Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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- 241000282836 Camelus dromedarius Species 0.000 description 1
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- 235000004431 Linum usitatissimum Nutrition 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
- F24F11/66—Sleep mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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Abstract
The invention provides an air conditioner and a control method thereof, wherein the control method comprises the following steps: acquiring the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient of a target interaction user in the indoor environment where an indoor unit of an air conditioner is located; determining target operation parameters of the air conditioner according to the covering rate of the heat-preservation bedding and the heat-preservation coefficient of the heat-preservation bedding; and controlling the air conditioner to operate according to the target operation parameters. The control method is suitable for both common air conditioners and intelligent air conditioners. The air conditioner can automatically determine the target operation parameters according to the sleep scene of the user, and the intelligent degree is improved.
Description
Technical Field
The invention relates to an intelligent household appliance, in particular to an air conditioner and a control method thereof.
Background
Air conditioners are used to adjust air parameters of an indoor environment.
In the prior art, part of air conditioners can only operate according to parameters set by users, the operating parameters cannot be automatically determined, the intelligent degree is low, and the use requirements of current users cannot be met. When the user is in a sleep state, discomfort or even wind chill may be caused because the operating parameters of the air conditioner cannot be adjusted in time.
Therefore, how to enable the air conditioner to automatically determine the operation parameters according to the sleep scene of the user, so as to improve the intelligent degree, becomes a technical problem to be urgently solved by the technical personnel in the field.
Disclosure of 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 problems.
A further object of the present invention is to increase the degree of intelligence of the air conditioner, so that the air conditioner can automatically determine the operation parameters according to the sleeping scene of the user, thereby increasing 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.
It is yet a further object of the present invention to improve the adjustment accuracy of the air conditioner so that the operation of the air conditioner is more consistent with the current sleep state of the target interactive user.
According to an aspect of the present invention, there is provided a control method of an air conditioner, including: acquiring the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient of a target interaction user in the indoor environment where an indoor unit of an air conditioner is located; determining target operation parameters of the air conditioner according to the covering rate of the heat-preservation bedding and the heat-preservation coefficient of the heat-preservation bedding; and controlling the air conditioner to operate according to the target operation parameters.
Optionally, in the step of determining the target operation parameter of the air conditioner according to the insulation bedding covering rate and the insulation bedding insulation coefficient, the target operation parameter at least comprises a target operation temperature; and the step of determining the target operation parameters of the air conditioner according to the covering rate of the heat-preservation bedding and the heat-preservation coefficient of the heat-preservation bedding comprises the following steps: according to the formula T ═ T0-aX-bY + c calculating a target operating temperature, wherein T is the target operating temperature and T is0The temperature value is a preset reference temperature value, X is the heat preservation coefficient of the heat preservation bedding, Y is the covering rate of the heat preservation bedding, and a, b and c are preset constants.
Optionally, the step of obtaining the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient of the target interaction 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 a target interaction user; and determining the covering rate and the heat preservation coefficient of the heat preservation bedding according to the temperature field distribution data and/or the image information.
Optionally, the step of determining the cover rate of the insulated bedding from the temperature field distribution data comprises: determining the exposed part area of a target interaction user according to the temperature field distribution data; and determining the covering rate of the heat-preservation bedding according to the area of the exposed part.
Optionally, the step of determining the exposed area of the target interaction user according to the temperature field distribution data includes: clustering the temperature field distribution data of the target interaction user according to a preset clustering rule to obtain an exposed part outline of the target interaction user; and calculating the area of the outline of the exposed part to obtain the area of the exposed part of the target interaction user.
Optionally, the step of determining the insulation coefficient of the insulation bedding from the temperature field distribution data comprises: determining the temperature change rate of the heat preservation bedding of the target interaction user according to the temperature field distribution data; and determining the heat preservation coefficient of the heat preservation bedding according to the temperature change rate of the heat preservation bedding of the target interactive user.
Optionally, the step of determining the temperature change rate of the thermal bedding of the target interactive user according to the temperature field distribution data comprises: determining a temperature change curve of the heat preservation bedding of the target interaction user according to the temperature field distribution data, wherein the temperature change curve is a change curve of the temperature of the heat preservation bedding of the target interaction user along with the change of time; and determining the temperature change rate of the heat-preservation bedding according to the temperature change curve.
Optionally, the step of determining the insulation bedding cover rate and the insulation bedding insulation coefficient from the image information comprises: obtaining a pre-stored human body image sample and a pre-stored heat preservation bedding image sample of a target interaction user; and matching the image information with the human body image sample and the heat preservation bedding image sample to determine the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient.
Optionally, after the step of controlling the air conditioner to operate according to the target operation parameter, the method further includes: acquiring a body posture of a target interaction user; and further adjusting target operation parameters of the air conditioner according to the body posture of the target interaction user.
According to another aspect of the present invention, there is also provided an air conditioner including: a processor and a memory, the memory having stored therein a control program for implementing the control method according to any one of the above when the control program is executed by the processor.
According to the air conditioner and the control method thereof, after the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient of the target interaction user in the indoor environment where the indoor unit of the air conditioner is located are obtained, the target operation parameters of the air conditioner can be determined according to the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient, the intelligent degree of the air conditioner is improved, the air conditioner can automatically determine the target operation parameters according to the sleep scene of the user, and the user experience is improved.
Furthermore, according to the air conditioner and the control method thereof, the covering rate of the heat preservation bedding and the heat preservation coefficient of the heat preservation bedding can be respectively determined by analyzing the temperature field distribution data of the target interaction user, and other structures do not need to be additionally arranged, so that the structure of the air conditioner can be simplified, and the manufacturing cost is reduced.
Furthermore, the air conditioner and the control method thereof determine the exposed part area of the target interaction user through the temperature field distribution data of the target interaction user, so that the exposed part area of the target interaction user can be accurately calculated, the adjustment precision of the air conditioner can be improved, and the operation of the air conditioner is more consistent with the current sleep state of the target interaction user.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a schematic block diagram of an air conditioner according to one embodiment of the present invention;
fig. 2 is a schematic view of an indoor unit of an air conditioner according to an embodiment of the present invention;
fig. 3 is a schematic view 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 Description
Fig. 1 is a schematic block diagram of an air conditioner according to an embodiment of the present invention.
The air conditioner 10 may generally include, divided in an overall structure: the air conditioning system 200, the processor 410, the memory 420, and the temperature field sensing device. The air conditioning system 200 may include a refrigeration system and may further include one or more of a humidity conditioning system, a fresh air system, an odor elimination 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 in which the indoor unit 110 of the air conditioner 10 is located, and configured to consume water vapor in the indoor environment. The humidity control system may further include a plurality of humidification units respectively disposed in the indoor environment for supplying water vapor to the indoor environment to increase the humidity of the indoor environment.
The refrigeration system may be a compression refrigeration system. The air conditioner 10 may generally include, in terms of installation location division of components: indoor units 110 and outdoor units. The indoor unit 110 and the outdoor unit of the air conditioner 10 perform cooling and heating cycles of the air conditioner 10 by means of efficient cooperation, thereby achieving cooling and heating adjustment of the indoor temperature.
The refrigerating system can comprise a compressor, an outdoor heat exchanger and an indoor heat exchanger. The operation modes 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 modes are well known to those skilled in the art, they will not be described in detail herein.
Fig. 2 is a schematic view of an indoor unit 110 of the air conditioner 10 according to one embodiment of the present invention.
The indoor unit 110 of the present embodiment may be a vertical type, such as a square cabinet or a circular cabinet, or may be a wall-mounted type, but is not limited thereto. Fig. 2 is only an example of the wall-mounted air conditioner indoor unit 110, and those skilled in the art should be fully capable of expanding to other models based on the understanding of the present embodiment, and one of them is not 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. The memory 420 stores a control program 421, and the control program 421 is executed by the processor 410 to implement the control method of the air conditioner 10 according to any one of the following embodiments. The processor 410 may be a Central Processing Unit (CPU), or a digital processing unit (DSP), etc. The memory 420 is used to store programs executed by the processor 410. The memory 420 may be any medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. Memory 420 may also be a combination of various memories 420. Since the control program 421 is executed by the processor 410 to implement the processes of the method embodiments described below and achieve the same technical effects, the detailed description is omitted here to avoid repetition.
The temperature field detection device may be disposed on the casing 111 of the indoor unit 110, and is configured to detect temperature field distribution data of a target interactive user. The temperature field distribution data of the target interactive user refers to distribution data of the temperature of each body part of the target interactive user in time and/or space. The temperature field sensing means may be an infrared sensor, or any other type of temperature sensing means. In some alternative embodiments, the temperature field detection device may be installed separately from the casing 111 of the indoor unit 110, and may be located at any position in the indoor environment where the distance to the sleeping position of the target interactive user is short, for example, on the ceiling above the bed, or on a cabinet or wall beside the bed.
In other alternative 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 in a wireless communication manner such as bluetooth or Wifi, so as to implement pre-binding. When the air conditioner 10 needs to query the insulation bedding coverage and insulation bedding insulation coefficient of the target interactive user, a query request may be sent to a temperature field detection device in data connection with the air conditioner 10, which is beneficial to reducing the manufacturing cost of the air conditioner 10. Among other things, the thermal bedding may be a covering, such as bedding, that is placed over the body of the targeted interactive user while sleeping.
In other alternative embodiments, the air conditioner 10 may further include an image capturing device. The image capture device is configured to capture information (e.g., images and/or dynamic video) of a targeted interactive user in the indoor environment to determine an insulation bedding coverage rate and/or an insulation bedding insulation coefficient based on the information of the targeted interactive user.
The image capturing apparatus of this embodiment may include an image capturing device. The image collector may be at least one camera. The camera may be disposed on the casing 111 of the indoor unit 110, or may be disposed at a predetermined position in an indoor environment according to actual needs. The camera may be a high precision camera. The image acquisition device utilizes the image acquisition device to shoot images and/or dynamic videos of target interaction users. The image acquisition device can also comprise an AI intelligent recognition system. The image acquisition device can utilize an AI intelligent recognition system to process images and/or dynamic videos shot by the image acquisition device, so that the heat preservation bedding covering rate and/or the heat preservation bedding heat preservation coefficient of a target interaction user can be recognized. For example, based on an AI intelligent recognition system, feature extraction may be performed for a target interactive user and their insulated bedding. And recognizing and analyzing the image of the target interaction user in the image by adopting human body feature recognition and heat preservation bedding feature recognition based on deep learning to obtain the heat preservation bedding covering rate and/or the heat preservation bedding heat preservation coefficient and/or the body posture of the target interaction user.
In some further embodiments, the air conditioner 10 may pre-establish a data connection with an external image capture device 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 the embodiment can be applied to various types and thicknesses of thermal bedding, for example, the types of the thermal bedding can be cotton quilts, down quilts, silk quilts, chemical fiber quilts, camel down quilts, flax quilts, summer quilts and the like.
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 he or she is ready to sleep in summer conditions and the thermal bedding is thin. After the air conditioner 10 enters the sleep monitoring mode, the control method of any of the following embodiments may be performed. Those skilled in the art should be fully capable of extending to other application scenarios without further exemplification based on the following embodiments. After the air conditioner 10 enters the sleep monitoring mode, it may operate according to the initial operation parameters set by the user, and in the process of operating according to the initial operation parameters, the control method of any of the following embodiments may be executed.
The control method of the air conditioner 10 may generally include:
in step S302, the heat-preservation bedding covering rate and the heat-preservation bedding heat-preservation coefficient of the target interactive user in the indoor environment of the indoor unit 110 of the air conditioner 10 are obtained.
The insulation bedding coverage may refer to the ratio between the exposed area of the target interactive user and the total body area of the target interactive user. The exposed area 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 bedding.
The thermal insulation bedding coefficient can be measured by the thermal conductivity of the thermal insulation bedding covered by the target interaction user, and the thermal insulation bedding coefficient can be determined according to the temperature change rate of the surface temperature of the thermal insulation bedding covered by the target interaction user.
In step S304, a target operation parameter of the air conditioner 10, such as a target operation temperature and/or a target operation humidity and/or a target air volume and/or a target air speed, is determined according to the insulation bedding coverage and the insulation bedding insulation coefficient.
And step S306, controlling the air conditioner 10 to operate according to the target operation parameters.
By using the above method, after the air conditioner 10 of the embodiment obtains the heat preservation bedding coverage rate and the heat preservation bedding heat preservation coefficient of the target interaction user in the indoor environment, the target operation parameters of the air conditioner 10 can be determined according to the heat preservation bedding coverage rate and the heat preservation bedding heat preservation coefficient, which improves the intelligent degree of the air conditioner 10, so that the air conditioner 10 can automatically determine the target operation parameters according to the sleep scene of the user, and improves the user experience.
In the step S302, the step of obtaining the insulation bedding covering rate and the insulation bedding insulation coefficient of the target interactive user in the indoor environment where the indoor unit 110 of the air conditioner 10 is located may include: and acquiring temperature field distribution data and/or image information of the target interactive user, and determining the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient according to the temperature field distribution data and/or the image information.
In this embodiment, the cover rate of the thermal bedding and the thermal coefficient of the thermal bedding can be determined only according to the temperature field distribution data.
The temperature field distribution data of the target interactive user is used to record the distribution data of the temperature of the respective body part of the target interactive user over time and/or space. Although the target interaction user is covered with the heat preservation bedding when sleeping, the heat preservation bedding is thin, the temperature field detection device transmits a detection signal to the target interaction user to obtain a reflection signal of the detection signal, and the reflection signal of the detection signal is analyzed to obtain the temperature field distribution data of the target interaction user.
The heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient can be respectively determined by analyzing the temperature field distribution data of the target interaction user, the logic is simple, other structures do not need to be additionally arranged, the structure of the air conditioner 10 can be simplified, and the manufacturing cost is reduced.
The step of determining the insulating bedding cover ratio from the temperature field distribution data may comprise: and determining the exposed part area of the target interactive user according to the temperature field distribution data, and determining the heat preservation bedding covering rate according to the exposed part area. Wherein, the step of determining the cover rate of the thermal bedding according to the area of the exposed part may include: the method comprises the steps of obtaining the area of all body parts of a preset target interaction user, calculating the difference value between the area of all body parts of the preset target interaction user and the area of exposed parts, and then calculating the ratio of the difference value to the area of all body parts of the preset target interaction user to obtain the heat preservation bedding covering rate.
The step of determining the exposed area of the target interaction user from the temperature field distribution data may comprise: and clustering the temperature field distribution data of the target interaction user according to a preset clustering rule to obtain an exposed part outline of the target interaction user, and calculating the area of the exposed part outline to obtain the exposed part area of the target interaction user. When the area of the exposed part outline is calculated, the exposed part outline can be compared with a preset outline unit, and the area ratio between the exposed part outline and the outline unit is determined, so that the area of the exposed part outline is calculated by utilizing the area ratio and the area of the outline unit, and the area of the preset outline unit is a preset fixed value.
In the step of clustering the temperature field distribution data of the target interaction user according to the preset clustering rule, the temperature of each body part of the target interaction user at a certain moment can be analyzed, the temperature of the head of the target interaction user is taken as a reference temperature, the deviation degree (for example, variance) between the temperature of other body parts of the target interaction user and the reference temperature is calculated, and the body part with the deviation degree smaller than the preset deviation threshold value is marked to obtain the exposed part area of the target interaction user. The preset deviation threshold value can be any value within the range of 0.01-0.5.
The exposed part area of the target interaction user is determined through the temperature field distribution data of the target interaction user, and the exposed part area of the target interaction user can be accurately calculated, so that the adjusting precision of the air conditioner 10 can be improved, and the operation of the air conditioner 10 is more consistent with the current sleep state of the target interaction user.
The step of determining the insulation coefficient of the insulated bedding from the temperature field distribution data may comprise: and determining the temperature change rate of the heat preservation bedding of the target interactive user according to the temperature field distribution data, and determining the heat preservation coefficient of the heat preservation bedding according to the temperature change rate of the heat preservation bedding.
The rate of change in temperature of the thermal bedding means how fast the surface temperature of the thermal bedding changes with time. The step of determining a rate of temperature change of the insulated bedding of the target interactive user from the temperature field distribution data may comprise: and determining a temperature change curve of the heat preservation bedding of the target interaction user according to the temperature field distribution data, wherein the temperature change curve is a change curve of the temperature of the heat preservation bedding of the target interaction user along with the change of time, and determining the temperature change rate of the heat preservation bedding according to the temperature change curve.
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, the temperature change curve is drawn by using the corresponding relation between the temperature of the part and the time, in the step of determining the temperature change rate of the thermal insulation bedding according to the temperature change curve, the slope of the temperature change curve within a certain set time can be used as the thermal insulation coefficient of the thermal insulation bedding, and the set time can be any value within the range of 5-15 min, for example, 10 min. When the temperature field distribution data of the target interaction user is subjected to clustering processing according to the preset clustering rule, the exposed part outline of the target interaction user can be obtained, and the non-exposed part outline of the target interaction user can also be obtained. The contour of the non-exposed part is the contour of the body part covered with the thermal bedding. Any position on the outline of the non-exposed part can be directly used as a research object, and any position in the outline of the non-exposed part can be selected as the research object to draw the temperature change curve.
The step of determining the insulation coefficient of the insulation bedding from the temperature change rate of the insulation bedding may include: the method comprises the steps of obtaining a plurality of preset temperature change rate ranges, wherein each temperature change rate range corresponds to one heat preservation bedding heat preservation coefficient, matching the temperature change rate of the heat preservation bedding with the preset temperature change rate ranges to determine the temperature change rate range to which the temperature change rate of the heat preservation bedding belongs, and taking the heat preservation bedding heat preservation coefficient corresponding to the temperature change rate range as the heat preservation bedding heat preservation coefficient.
The heat preservation coefficient of the heat preservation bedding can be any value within the range of 0.1-1, and the larger the heat preservation coefficient of the heat preservation bedding is, the better the heat preservation performance of the heat preservation bedding is. For example, the surface temperature of a chemical fiber quilt with the thickness of 2cm changes by 2 ℃ within 10 min; the surface temperature of the down quilt with the thickness of 5cm changes by 0.5 ℃, which shows that the thermal insulation performance of the down quilt with the large thickness is better than that of the chemical fiber quilt with the small thickness.
For example, the heat preservation coefficient of the heat preservation bedding can include 0.1, 0.5 and 1, and the corresponding temperature change rate ranges can be respectively more than 0.2 ℃/min, 0.05-0.2 ℃/min and less than 0.05 ℃/min. When the temperature change rate of the heat preservation bedding of the target interactive user is detected to be 0.05 ℃/min, the temperature change rate range of the temperature change rate of the heat preservation bedding is 0.05-0.2 ℃/min, and then the heat preservation coefficient of the heat preservation bedding can be determined to be 0.5.
In some alternative embodiments, the methods of obtaining the cover ratio and the heat retention coefficient of the heat retaining bedding may be transformed. The steps of obtaining the cover rate of the thermal bedding and the thermal coefficient of the thermal bedding of the target interactive user in the indoor environment of the indoor unit 110 of the air conditioner 10 may include: and acquiring image information of the target interactive user, and determining the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient according to the image information.
The step of determining the cover ratio of the thermal bedding and the thermal coefficient of the thermal bedding from the image information may include: and obtaining a human body image sample and a heat preservation bedding image sample of a target interaction user which are stored in advance, and matching the image information with the human body image sample and the heat preservation bedding image sample to determine the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient.
When the covering rate of the heat preservation bedding and the heat preservation coefficient of the heat preservation bedding need to be obtained, an inquiry request can be sent to the image acquisition device so as to obtain the image information of the target interaction user, and an AI intelligent recognition system in the image acquisition device can be driven to analyze and recognize the image information so as to obtain the covering rate of the heat preservation bedding and the heat preservation coefficient of the heat preservation bedding. The cloud platform of the air conditioner 10 may pre-store a human body image sample of a target interaction user who does not cover the thermal insulation bedding and a plurality of types of thermal insulation bedding image samples, and in the step of analyzing and recognizing image information by using the AI intelligent recognition system, may match the image information of the target interaction user with the pre-stored human body image sample of the target interaction user who does not cover the thermal insulation bedding, thereby determining a coverage rate of the thermal insulation bedding, and may also match the image information of the target interaction user with the pre-stored plurality of types of thermal insulation bedding image samples, thereby obtaining a type of the thermal insulation bedding, and determining a thermal insulation coefficient of the thermal insulation bedding according to the type of the thermal insulation bedding. The cloud platform of the air conditioner 10 also stores the type of each thermal bedding and the corresponding thermal coefficient of the thermal bedding.
In other alternative embodiments, the methods for obtaining the cover ratio and the heat retention coefficient of the heat-retaining bedding may be further transformed. The steps of obtaining the heat-preservation bedding covering rate and the heat-preservation bedding heat-preservation coefficient of the target interactive user in the indoor environment of the indoor unit 110 of the air conditioner 10 include: and acquiring the temperature field distribution data and the image information of the target interactive user, and determining the covering rate and the heat preservation coefficient of the heat preservation bedding according to the temperature field distribution data and the image information. That is, the temperature field distribution data and the image information can be comprehensively utilized to determine the cover rate and the heat-insulating coefficient of the heat-insulating bedding. For example, the exposed position of the target interactive user and the position of the covered thermal bedding may be determined according to the image information of the target interactive user, then the temperature field detection device is driven to detect the profile of the exposed position and the temperature variation curve of the thermal bedding, the covering rate of the thermal bedding is calculated according to the profile of the exposed position, and the thermal coefficient of the thermal bedding is calculated according to the temperature variation curve of the thermal bedding.
In step S304, the target operating parameter may at least include a target operating temperature. The target operation temperature refers to a temperature to which the indoor environment can be adjusted when the air conditioner 10 is operated. For example, the target operating temperature may be set to 26 ℃. Air conditioner 10 buttonOperating at the target operating temperature allows the temperature of the indoor environment to reach or be maintained at 26 ℃. Step S304 may include: according to the formula T ═ T0-aX-bY + c calculating a target operating temperature, wherein T is the target operating temperature and T is0The temperature value is a preset reference temperature value, X is the heat preservation coefficient of the heat preservation bedding, Y is the covering rate of the heat preservation bedding, and a, b and c are preset constants. T is0The temperature may be any value within the range of 20 to 30 ℃, for example, 24 ℃, 25 ℃ or 26 ℃. a. b and c may be any values in the range of 0.8 to 1.1, for example, a and b may be 0.9, and c may be 1.
When a and b are 0.9, c is 1, and T is0At 25 ℃, if the heat-insulating bedding heat-insulating coefficient is 0.1 and the heat-insulating bedding covering factor is 0, the target operating temperature calculated according to the formula is 25 to 0.9 × 0.1 to 0+1, which is 25.91 ℃, and at this time, the target operating temperature of the air conditioner 10 can be determined to be 26 ℃ according to the principle of rounding and taking integers.
When a and b are 0.9, c is 1, and T is0At 25 ℃, if the heat preservation coefficient of the heat preservation bedding is 1 and the cover rate of the heat preservation bedding is 1, the target operation temperature calculated according to the formula is 25-0.9 × 1-0.9+1 ═ 24.2 ℃, and at this time, according to the principle of rounding and taking an integer, the target operation temperature of the air conditioner 10 can be determined to be 24 ℃. The adjustment accuracy of the operating temperature of the air conditioner 10 may be set to 0.5 deg.c, and if the target operating temperature calculated according to the formula is 24.3 deg.c, the target operating temperature of the air conditioner 10 may be determined to be 24.5 deg.c, and if the target operating temperature calculated according to the formula is 24.1 deg.c, the target operating temperature of the air conditioner 10 may be determined to be 24 deg.c.
In some alternative embodiments, the target operation parameters of the air conditioner 10 may further include a target air speed and a target air volume, and if it is determined that the target operation temperature of the air conditioner 10 is lower than the initial operation temperature according to the insulation bedding coverage rate and the insulation bedding insulation coefficient, the target air speed and the target air volume of the air conditioner 10 may 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 insulation bedding coverage and the insulation coefficient of the insulation bedding, the target air speed and the target air volume of the air conditioner 10 can be appropriately reduced.
In the step S306, if it is determined that the target operation parameter is the same as the initial operation parameter of the air conditioner 10 according to the step S304, the target operation parameter of the air conditioner 10 is not adjusted. The initial operation parameters of the air conditioner 10 refer to the operation parameters of the air conditioner 10 before the above-described step S302 is performed.
After the step S306, the control method may further include: and acquiring the body posture of the target interaction user, and further adjusting the target operation parameters of the air conditioner 10 according to the body posture of the target interaction user. In the step of further adjusting the target operation parameters of the air conditioner 10 according to the body posture of the target interaction user, the target operation parameters at least may include a target operation temperature, a target air speed, or a target air volume, and if the body posture of the target interaction user is a preset curling posture (for example, a chest-clasping posture, a head-clasping posture, a waist-clasping posture, or the like), the target operation temperature of the air conditioner 10 may be increased, and the target air speed and the target air volume of the air conditioner 10 may be decreased.
Fig. 4 is a control flowchart of the air conditioner 10 according to an embodiment of the present invention.
And step S402, acquiring temperature field distribution data of the target interaction user.
And S404, clustering the temperature field distribution data of the target interaction user according to a preset clustering rule to obtain the exposed part outline of the target interaction user.
Step S406, calculating the area of the outline of the exposed part to obtain the area of the exposed part of the target interactive user.
Step S408, determining the covering rate of the heat preservation bedding according to the area of the exposed part.
And S410, determining a temperature change curve of the heat preservation bedding of the target interaction user according to the temperature field distribution data, wherein the temperature change curve is a change curve of the temperature of the heat preservation bedding of the target interaction user along with the change of time.
In step S412, the temperature change rate of the thermal bedding is determined according to the temperature change curve.
And step S414, determining the heat preservation coefficient of the heat preservation bedding according to the temperature change rate of the heat preservation bedding of the target interactive user.
In step S416, the target operation parameters of the air conditioner 10 are determined according to the insulation bedding covering rate and the insulation bedding insulation coefficient. The target operating parameter includes at least a target operating temperature. According to the formula T ═ T0-aX-bY + c calculating a target operating temperature, wherein T is the target operating temperature and T is0The temperature value is a preset reference temperature value, X is the heat preservation coefficient of the heat preservation bedding, Y is the covering rate of the heat preservation bedding, and a, b and c are preset constants.
In step S418, the air conditioner 10 is controlled to operate according to the target operation parameter.
Step S420, obtaining the body posture of the target interaction user.
Step S422, further adjusting the target operation parameters of the air conditioner 10 according to the body posture of the target interaction user.
The control method of the above embodiment is applicable to both the general air conditioner 10 and the intelligent air conditioner 10. By using the above method, the air conditioner 10 and the control method thereof according to the embodiment can determine the target operation parameters of the air conditioner 10 according to the insulation bedding coverage rate and the insulation bedding insulation coefficient after acquiring the insulation bedding coverage rate and the insulation bedding insulation coefficient of the target interaction user in the indoor environment of the indoor unit 110 of the air conditioner 10, which improves the intelligent degree of the air conditioner 10, so that the air conditioner 10 can automatically determine the target operation parameters according to the sleep scene of the user.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. A control method of an air conditioner, comprising:
acquiring the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient of a target interaction user in the indoor environment where the indoor unit of the air conditioner is located;
determining target operation parameters of the air conditioner according to the covering rate of the heat-preservation bedding and the heat-preservation coefficient of the heat-preservation bedding;
and controlling the air conditioner to operate according to the target operation parameters.
2. The control method according to claim 1,
in the step of determining the target operation parameters of the air conditioner according to the covering rate of the heat-preservation bedding and the heat-preservation coefficient of the heat-preservation bedding, the target operation parameters at least comprise target operation temperature; and is
The step of determining the target operating parameter of the air conditioner according to the heat-preservation bedding covering rate and the heat-preservation bedding heat-preservation coefficient comprises the following steps:
according to the formula T ═ T0-aX-bY + c calculating the target operating temperature, wherein T is the target operating temperature and T is0And the temperature value is a preset reference temperature value, X is the heat preservation coefficient of the heat preservation bedding, Y is the covering rate of the heat preservation bedding, and a, b and c are preset constants.
3. The control method according to claim 1,
the steps of obtaining the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient of the target interaction user in the indoor environment where the indoor unit of the air conditioner is located comprise:
acquiring temperature field distribution data and/or image information of the target interaction user;
and determining the covering rate of the thermal bedding and the thermal coefficient of the thermal bedding according to the temperature field distribution data and/or the image information.
4. The control method according to claim 3,
the step of determining the cover rate of the thermal bedding from the temperature field distribution data comprises:
determining the area of the exposed part of the target interaction user according to the temperature field distribution data;
and determining the covering rate of the heat-preservation bedding according to the area of the exposed part.
5. The control method according to claim 4,
the step of determining the exposed part area of the target interaction user according to the temperature field distribution data comprises the following steps:
clustering the temperature field distribution data of the target interaction user according to a preset clustering rule to obtain an exposed part outline of the target interaction user;
and calculating the area of the outline of the exposed part to obtain the area of the exposed part of the target interaction user.
6. The control method according to claim 3,
the step of determining the heat preservation coefficient of the heat preservation bedding according to the temperature field distribution data comprises the following steps:
determining the temperature change rate of the heat preservation bedding of the target interaction user according to the temperature field distribution data;
and determining the heat preservation coefficient of the heat preservation bedding according to the temperature change rate of the heat preservation bedding of the target interactive user.
7. The control method according to claim 6,
the step of determining the temperature change rate of the heat preservation bedding of the target interaction user according to the temperature field distribution data comprises the following steps:
determining a temperature change curve of the heat preservation bedding of the target interaction user according to the temperature field distribution data, wherein the temperature change curve is a change curve of the temperature of the heat preservation bedding of the target interaction user along with the change of time;
and determining the temperature change rate of the heat-preservation bedding according to the temperature change curve.
8. The control method according to claim 3,
the step of determining the heat-insulating bedding covering rate and the heat-insulating bedding heat-insulating coefficient according to the image information comprises the following steps:
obtaining a pre-stored human body image sample and a pre-stored heat preservation bedding image sample of the target interaction user;
and matching the image information with the human body image sample and the heat preservation bedding image sample to determine the heat preservation bedding covering rate and the heat preservation bedding heat preservation coefficient.
9. The control method as set forth in claim 1, further comprising, after the step of controlling the air conditioner to operate according to the target operation parameter:
acquiring the body posture of the target interaction user;
and further adjusting target operation parameters of the air conditioner according to the body posture of the target interaction user.
10. An air conditioner comprising:
a processor and a memory, the memory having stored therein a control program for implementing the control method according to any one of claims 1-9 when executed by the processor.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112856711A (en) * | 2021-01-26 | 2021-05-28 | 珠海格力电器股份有限公司 | Air conditioning equipment control method and device, air conditioning equipment and storage medium |
CN113091272A (en) * | 2021-04-07 | 2021-07-09 | 青岛海尔空调器有限总公司 | Air conditioner control method, air conditioner and storage medium |
WO2021227429A1 (en) * | 2020-08-26 | 2021-11-18 | 青岛海尔空调器有限总公司 | Air conditioner and control method therefor |
CN114646125A (en) * | 2022-03-18 | 2022-06-21 | 青岛海尔空调器有限总公司 | Method, apparatus and storage medium for correcting thermal comfort model |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102356981A (en) * | 2011-07-20 | 2012-02-22 | 刘宏森 | Quilt warmth retention rate information prompting system, quilt warmth retention rate information prompting device and method |
CN103954005A (en) * | 2014-03-26 | 2014-07-30 | 广东美的集团芜湖制冷设备有限公司 | Temperature control method, temperature control system and air conditioner |
CN105241003A (en) * | 2015-09-25 | 2016-01-13 | 广东美的制冷设备有限公司 | Air conditioner control method and system and air conditioner |
CN106196491A (en) * | 2016-07-29 | 2016-12-07 | 广东美的制冷设备有限公司 | Temperature control method based on cold and hot inductance value and device |
JP2018096811A (en) * | 2016-12-13 | 2018-06-21 | パナソニックIpマネジメント株式会社 | Device, method, and program for measuring heat-retaining property and air conditioning system |
CN109869865A (en) * | 2018-12-17 | 2019-06-11 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioner |
CN110953681A (en) * | 2019-12-10 | 2020-04-03 | 珠海格力电器股份有限公司 | Method and device for controlling air conditioner and storage medium |
CN111219845A (en) * | 2020-01-15 | 2020-06-02 | 珠海格力电器股份有限公司 | Temperature control method and device, storage medium and air conditioner |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0210044A (en) * | 1988-06-28 | 1990-01-12 | Matsushita Electric Ind Co Ltd | Air conditioning device |
US8768520B2 (en) * | 2008-02-25 | 2014-07-01 | Kingsdown, Inc. | Systems and methods for controlling a bedroom environment and for providing sleep data |
JP2013160473A (en) * | 2012-02-07 | 2013-08-19 | Fujitsu General Ltd | Air conditioner |
CN104033989A (en) * | 2014-05-27 | 2014-09-10 | 四川长虹电器股份有限公司 | Air conditioner control system and control method of air conditioner control system |
CN105352106B (en) * | 2014-08-22 | 2019-01-04 | 珠海格力电器股份有限公司 | Human body detection method and device, air conditioner and control method and device of air conditioner |
CN106225161B (en) * | 2016-07-29 | 2019-04-19 | 广东美的制冷设备有限公司 | Air conditioning control method and device |
CN108036479A (en) * | 2017-12-01 | 2018-05-15 | 广东美的制冷设备有限公司 | Control method, system, vision controller and the storage medium of air conditioner |
CN112128954A (en) * | 2020-08-26 | 2020-12-25 | 青岛海尔空调器有限总公司 | Air conditioner and control method thereof |
-
2020
- 2020-08-26 CN CN202010871657.0A patent/CN112128954A/en active Pending
- 2020-11-20 WO PCT/CN2020/130592 patent/WO2021227429A1/en active Application Filing
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102356981A (en) * | 2011-07-20 | 2012-02-22 | 刘宏森 | Quilt warmth retention rate information prompting system, quilt warmth retention rate information prompting device and method |
CN103954005A (en) * | 2014-03-26 | 2014-07-30 | 广东美的集团芜湖制冷设备有限公司 | Temperature control method, temperature control system and air conditioner |
CN105241003A (en) * | 2015-09-25 | 2016-01-13 | 广东美的制冷设备有限公司 | Air conditioner control method and system and air conditioner |
CN106196491A (en) * | 2016-07-29 | 2016-12-07 | 广东美的制冷设备有限公司 | Temperature control method based on cold and hot inductance value and device |
JP2018096811A (en) * | 2016-12-13 | 2018-06-21 | パナソニックIpマネジメント株式会社 | Device, method, and program for measuring heat-retaining property and air conditioning system |
CN109869865A (en) * | 2018-12-17 | 2019-06-11 | 珠海格力电器股份有限公司 | Air conditioner control method and device and air conditioner |
CN110953681A (en) * | 2019-12-10 | 2020-04-03 | 珠海格力电器股份有限公司 | Method and device for controlling air conditioner and storage medium |
CN111219845A (en) * | 2020-01-15 | 2020-06-02 | 珠海格力电器股份有限公司 | Temperature control method and device, storage medium and air conditioner |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021227429A1 (en) * | 2020-08-26 | 2021-11-18 | 青岛海尔空调器有限总公司 | Air conditioner and control method therefor |
CN112856711A (en) * | 2021-01-26 | 2021-05-28 | 珠海格力电器股份有限公司 | Air conditioning equipment control method and device, air conditioning equipment and storage medium |
CN112856711B (en) * | 2021-01-26 | 2022-01-18 | 珠海格力电器股份有限公司 | Air conditioning equipment control method and device, air conditioning equipment and storage medium |
CN113091272A (en) * | 2021-04-07 | 2021-07-09 | 青岛海尔空调器有限总公司 | Air conditioner control method, air conditioner and storage medium |
CN114646125A (en) * | 2022-03-18 | 2022-06-21 | 青岛海尔空调器有限总公司 | Method, apparatus and storage medium for correcting thermal comfort model |
CN114646125B (en) * | 2022-03-18 | 2024-05-24 | 青岛海尔空调器有限总公司 | Method, apparatus and storage medium for correcting thermal comfort model |
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