CN110454954B - Control method and device of air conditioner and air conditioner - Google Patents
Control method and device of air conditioner and air conditioner Download PDFInfo
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- CN110454954B CN110454954B CN201910716057.4A CN201910716057A CN110454954B CN 110454954 B CN110454954 B CN 110454954B CN 201910716057 A CN201910716057 A CN 201910716057A CN 110454954 B CN110454954 B CN 110454954B
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- air conditioner
- outdoor unit
- artificial intelligence
- rotating speed
- temperature
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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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- 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
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/87—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units
- F24F11/871—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units by controlling outdoor fans
Abstract
The invention provides a control method and a control device of an air conditioner and the air conditioner, wherein the control method comprises the following steps: controlling the air conditioner to enter an artificial intelligence powerful mode; the rotating speed and/or the position of a fan blade of an outdoor unit of the air conditioner are/is adjusted in a self-learning mode. According to the control method and device for the air conditioner and the air conditioner, after the air conditioner enters the artificial intelligence strong mode, the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are/is adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the air conditioner is guaranteed to exert the capacity of the system to the maximum extent, or the highest running efficiency is achieved.
Description
Technical Field
The invention relates to the technical field of electric appliances, in particular to a control method and device of an air conditioner and the air conditioner.
Background
In the related art, the outdoor unit of the air conditioner generally operates according to preset fixed parameters, that is, specific conditions correspond to specific rotating speed and/or position of the outdoor unit fan, so that the air conditioner may not exert the capacity of the system to the maximum extent or achieve the highest operating efficiency.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present invention is to provide a control method for an air conditioner, in which after an air conditioner enters an artificial intelligence robust mode, a rotation speed and/or a position of a fan blade of an outdoor unit of the air conditioner are/is adjusted in a self-learning manner, so that the fan blade of the outdoor unit can operate at an optimal rotation speed and/or an optimal position, and it is ensured that the air conditioner exerts a system capability to the maximum extent, or the highest operation efficiency is achieved.
A second object of the present invention is to provide a control device for an air conditioner.
A third object of the present invention is to provide an air conditioner.
A fourth object of the invention is to propose an electronic device.
A fifth object of the present invention is to propose a computer-readable storage medium.
To achieve the above object, an embodiment of a first aspect of the present invention provides a control method for an air conditioner, including:
controlling the air conditioner to enter an artificial intelligence powerful mode;
the rotating speed and/or the position of a fan blade of an outdoor unit of the air conditioner are/is adjusted in a self-learning mode.
According to the control method of the air conditioner, the air conditioner is controlled to enter an artificial intelligence strong mode; the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the system capacity of the air conditioner is exerted to the maximum extent, or the highest running efficiency is achieved.
According to an embodiment of the present invention, the adjusting the rotation speed and/or the position of the fan blade of the outdoor unit of the air conditioner in a self-learning manner includes: determining a target rotating speed and/or a target position value in a plurality of groups of preset rotating speed and/or position values in a self-learning mode; and adjusting the rotating speed and/or the position of the fan blade of the outdoor unit according to the target rotating speed and/or the target position value.
According to one embodiment of the invention, the target rotation speed and/or the target position value is determined in a self-learning manner among a plurality of preset groups of rotation speed and/or position values; adjusting the rotating speed and/or the position of the fan blade of the outdoor unit according to the target rotating speed and/or the target position value, wherein the adjusting step comprises the following steps: recording that the adjusting times are equal to the initial adjusting times; controlling the fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and/or the position value corresponding to the adjusting times; recording the temperature of the heat exchanger of the current outdoor unit; adding one to the adjusting times, and recording the adjusting times after adding one; identifying that the air conditioner satisfies an exit condition of the artificial intelligence robust mode; and controlling the air conditioner to exit the artificial intelligence strong mode.
According to an embodiment of the present invention, after the controlling the air conditioner to exit the artificial intelligence robust mode, the method further includes: and controlling the fan blades of the outdoor unit to operate according to the current rotating speed and/or the current position value.
According to an embodiment of the present invention, after the recording the number of times of adjustment after the addition, the method further includes: identifying that the air conditioner does not satisfy an exit condition of the artificial intelligence robust mode; identifying that the range of the temperature of the heat exchanger of the outdoor unit in the first set time is greater than a set range threshold; controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and/or the current position value; recording the temperature of the heat exchanger of the outdoor unit again; and continuously identifying whether the air conditioner meets the exit condition of the artificial intelligence robust mode.
According to an embodiment of the present invention, after the identifying that the air conditioner does not satisfy the exit condition of the artificial intelligence robust mode, the method further includes: identifying that the range of the temperature of the outdoor unit heat exchanger in the first set time is equal to or less than a set range threshold; controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and/or the position value corresponding to the adjusting times; recording the temperature of the heat exchanger of the outdoor unit again; recognizing that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is within a preset difference value range; controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and/or the current position value; and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
According to an embodiment of the present invention, after the recording the current temperature of the outdoor unit heat exchanger again, the method further includes: identifying that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is out of the difference value range; controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and/or the position value before the current rotating speed and/or the current position value; and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
According to an embodiment of the present invention, before the controlling the air conditioner to enter the artificial intelligence robust mode, the method further includes: and identifying that the air conditioner meets the entry condition of the artificial intelligence robust mode.
According to an embodiment of the present invention, the entry condition of the artificial intelligence robust mode includes any one or a combination of more of the following conditions: receiving a control instruction of a user for entering the artificial intelligence robust mode; detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold entry condition; detecting that the operating parameters of the air conditioner meet a parameter threshold entry condition; detecting a second set time for starting the air conditioner; and detecting the starting of the compressor of the air conditioner for a third set time.
According to an embodiment of the invention, the exit condition of the artificial intelligence robust mode comprises any one or a combination of more of the following conditions: receiving a control instruction of a user for exiting the artificial intelligence robust mode; detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold exit condition; detecting that the operating parameters of the air conditioner meet a parameter threshold exit condition; detecting a fourth set time for starting the air conditioner; detecting a fifth set time for starting a compressor of the air conditioner; and detecting that the adjusting times are greater than a preset time threshold.
In order to achieve the above object, a second embodiment of the present invention provides a control device for an air conditioner, including:
the control module is used for controlling the air conditioner to enter an artificial intelligence powerful mode;
and the adjusting module is used for adjusting the rotating speed and/or the position of a fan blade of the outdoor unit of the air conditioner in a self-learning mode.
According to the control device of the air conditioner, the air conditioner is controlled to enter an artificial intelligence strong mode; the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the system capacity of the air conditioner is exerted to the maximum extent, or the highest running efficiency is achieved.
According to an embodiment of the present invention, the adjusting module is specifically configured to: determining a target rotating speed and/or a target position value in a plurality of groups of preset rotating speed and/or position values in a self-learning mode; and adjusting the rotating speed and/or the position of the fan blade of the outdoor unit according to the target rotating speed and/or the target position value.
According to an embodiment of the present invention, the adjusting module is specifically configured to: recording that the adjusting times are equal to the initial adjusting times; controlling the fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and/or the position value corresponding to the adjusting times; recording the temperature of the heat exchanger of the current outdoor unit; adding one to the adjusting times, and recording the adjusting times after adding one; identifying that the air conditioner satisfies an exit condition of the artificial intelligence robust mode; and controlling the air conditioner to exit the artificial intelligence strong mode.
According to an embodiment of the invention, the adjusting module is further configured to: and after the air conditioner is controlled to exit the artificial intelligence powerful mode, controlling the fan blades of the outdoor unit to operate according to the current rotating speed and/or the current position value.
According to an embodiment of the invention, the adjusting module is further configured to: after the recorded number of times of adjustment plus one, recognizing that the air conditioner does not meet the exit condition of the artificial intelligence robust mode; identifying that the range of the temperature of the heat exchanger of the outdoor unit in the first set time is greater than a set range threshold; controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and/or the current position value; recording the temperature of the heat exchanger of the outdoor unit again; and continuously identifying whether the air conditioner meets the exit condition of the artificial intelligence robust mode.
According to an embodiment of the invention, the adjusting module is further configured to: after the air conditioner is identified not to meet the exit condition of the artificial intelligence robust mode, identifying that the range of the temperature of the outdoor unit heat exchanger within the first set time is equal to or less than a set range threshold; controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and/or the position value corresponding to the adjusting times; recording the temperature of the heat exchanger of the outdoor unit again; recognizing that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is within a preset difference value range; controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and/or the current position value; and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
According to an embodiment of the invention, the adjusting module is further configured to: after the temperature of the current outdoor unit heat exchanger is recorded again, identifying that the difference value between the recorded temperature of the current outdoor unit heat exchanger and the recorded temperature of the current outdoor unit heat exchanger at the last time is out of the difference value range; controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and/or the position value before the current rotating speed and/or the current position value; and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
According to an embodiment of the invention, the control module is further configured to: recognizing that the air conditioner satisfies an entry condition of an artificial intelligence robust mode before controlling the air conditioner to enter the artificial intelligence robust mode.
According to an embodiment of the present invention, the entry condition of the artificial intelligence robust mode includes any one or a combination of more of the following conditions: receiving a control instruction of a user for entering the artificial intelligence robust mode; detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold entry condition; detecting that the operating parameters of the air conditioner meet a parameter threshold entry condition; detecting a second set time for starting the air conditioner; and detecting the starting of the compressor of the air conditioner for a third set time.
According to an embodiment of the invention, the exit condition of the artificial intelligence robust mode comprises any one or a combination of more of the following conditions: receiving a control instruction of a user for exiting the artificial intelligence robust mode; detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold exit condition; detecting that the operating parameters of the air conditioner meet a parameter threshold exit condition; detecting a fourth set time for starting the air conditioner; detecting a fifth set time for starting a compressor of the air conditioner; and detecting that the adjusting times are greater than a preset time threshold.
To achieve the above object, an embodiment of a third aspect of the present invention provides an air conditioner, including: the control device of the air conditioner according to the embodiment of the second aspect of the present invention.
To achieve the above object, a fourth aspect of the present invention provides an electronic device, including: the invention relates to a control method of an air conditioner, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein when the processor executes the program, the control method of the air conditioner is realized.
To achieve the above object, a fifth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, the program, when executed by a processor, implementing the control method of the air conditioner according to the first embodiment of the present invention.
Drawings
Fig. 1 is a flowchart of a control method of an air conditioner according to an embodiment of the present invention;
fig. 2 is an application view of a control method of an air conditioner according to an embodiment of the present invention;
fig. 3 is another application scenario diagram of a control method of an air conditioner according to an embodiment of the present invention;
fig. 4 is another application scenario diagram of a control method of an air conditioner according to an embodiment of the present invention;
fig. 5 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
fig. 6 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
fig. 7 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
fig. 8 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
fig. 9 is a detailed flowchart of a control method of an air conditioner according to an embodiment of the present invention;
fig. 10 is a structural view of a control apparatus of an air conditioner according to an embodiment of the present invention;
fig. 11 is a structural view of an air conditioner according to an embodiment of the present invention;
FIG. 12 is a block diagram of an electronic device in accordance with one embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes a control method and device of an air conditioner and the air conditioner in an embodiment of the invention with reference to the accompanying drawings.
Fig. 1 is a flowchart of a control method of an air conditioner according to an embodiment of the present invention, as shown in fig. 1, the control method including:
and S101, controlling the air conditioner to enter an artificial intelligence strong mode.
And S102, adjusting the rotating speed and/or the position of a fan blade of an outdoor unit of the air conditioner in a self-learning mode.
In the embodiment of the invention, the air conditioner is controlled to enter an artificial intelligence strong mode, and the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are/is adjusted in an autonomous learning mode.
Specifically, after the air conditioner is controlled to enter the artificial intelligence strong mode, a target rotating speed and/or a target position value can be determined in a preset plurality of groups of rotating speeds and/or position values in a self-learning mode, and the rotating speed and/or the position of a fan blade of the outdoor unit are adjusted according to the target rotating speed and/or the target position value.
For example, as shown in FIGS. 2, 3 and 4The outdoor unit comprising the disrotatory double fan blades can preset a plurality of groups of rotating speeds and/or position values [ (a)1,b1),(a2,b2),(a3,b3)……(an,bn)……(am,bm)]Wherein a is1～m，b1～mRespectively showing the rotating speed and/or position of two fan blades, and making the air conditioner enter into artificial intelligent strong mode and make it pass through self-learning mode1,b1),(a2,b2),(a3,b3)……(an,bn)……(am,bm)]Determining a target rotation speed and/or a target position value, and adjusting the rotation speed and/or the position of a fan blade of the outdoor unit according to the target rotation speed and/or the target position value, for example, determining the target rotation speed and/or the target position as (a)1,b1) The rotating speeds and/or positions of two fan blades of the outdoor unit are respectively adjusted to be a1、b1. Sets of rotational speed and/or position values [ (a)1,b1),(a2,b2),(a3,b3)……(an,bn)……(am,bm)]The rotation speed and/or position value can be preset fixed values, and can also be determined by a formula according to the parameters of the air conditioner.
According to the control method of the air conditioner, the air conditioner is controlled to enter an artificial intelligence strong mode; the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the system capacity of the air conditioner is exerted to the maximum extent, or the highest running efficiency is achieved.
Further, as shown in fig. 5, in the embodiment shown in fig. 1, "determining a target rotation speed and/or a target position value among a plurality of preset sets of rotation speeds and/or position values in a self-learning manner, and adjusting the rotation speed and/or the position of the fan blade of the outdoor unit according to the target rotation speed and/or the target position value" may specifically include:
s201, recording the adjustment times n equal to the initial value of the adjustment times.
In the embodiment of the invention, an initial value of the adjusting times can be preset, and the adjusting times n is recorded as the initial value of the adjusting times. For example, if the preset adjustment number initial value is 1, the adjustment number n is recorded as 1.
And S202, controlling the fan blades of the outdoor unit to operate for a first set time according to the rotating speed and/or the position value corresponding to the adjusting times n.
In an embodiment of the present invention, the different adjustment times n correspond to different rotation speeds and/or position values, for example, preset sets of rotation speeds and/or position values [ (a)1,b1),(a2,b2),(a3,b3)……(an,bn)……(am,bm)]The rotation speed and/or position value corresponding to the adjustment number n is (a)n,bn) That is, the rotation speed and/or position values corresponding to n-1, n-2, and n-3 … … are (a)1,b1)、(a2,b2)、(a3,b3) … …, after recording the adjusting times n, controlling the fan blade of the outdoor unit to rotate for a first set time k according to the rotating speed and/or position value corresponding to the adjusting times n. The first set time k may be a preset fixed value time or a time determined by a formula according to parameters of the air conditioner.
And S203, recording the temperature T3 of the heat exchanger of the current outdoor unit.
In the embodiment of the invention, the temperature T3 of the heat exchanger of the outdoor unit can be obtained through the temperature sensor, and the temperature T3 of the heat exchanger of the outdoor unit is recorded.
And S204, adding one to the adjusting times n, and recording the adjusting times n after adding one.
In the present embodiment, n ═ n +1 is recorded.
S205, identifying that the air conditioner meets the exit condition of the artificial intelligence strong mode.
In the embodiment of the invention, the condition that the air conditioner meets the exit condition of the artificial intelligence strong mode is identified.
As a possible implementation, the exit condition of the artificial intelligence robust mode may include any one or a combination of the following conditions:
(1) receiving a control instruction of a user for exiting from the artificial intelligence robust mode;
(2) detecting that the temperature and/or the humidity of the air conditioner meet a temperature and/or humidity threshold exit condition;
(3) detecting that the operating parameters of the air conditioner meet a parameter threshold exit condition;
(4) detecting a fourth set time for starting the air conditioner;
(5) detecting a fifth set time for starting a compressor of the air conditioner;
(6) and detecting that the adjusting times are greater than a preset time threshold.
The control execution of the user exiting the artificial intelligence robust mode in the condition (1) can include but is not limited to a remote controller instruction, a mobile phone APP instruction, a gesture control instruction, a voice control instruction and the like; the temperature and/or humidity of the air conditioner in the condition (2) may include, but is not limited to, an indoor unit intake air temperature and/or humidity, an indoor unit coil temperature and/or humidity, an outdoor unit intake air temperature and/or humidity, an outdoor unit coil temperature and/or humidity, a compressor discharge air temperature and/or humidity, a compressor return air temperature and/or humidity, an electric control device temperature and/or humidity, and the like; condition (3) operating parameters may include, but are not limited to, compressor frequency, system current, system voltage, system power, indoor unit fan speed and/or position, outdoor unit fan speed and/or position, and the like.
And S206, controlling the air conditioner to exit from the artificial intelligence strong mode.
In the embodiment of the invention, the air conditioner meets the exit condition of the artificial intelligence robust mode, and then the air conditioner is controlled to exit the artificial intelligence robust mode.
And S207, controlling the fan blades of the outdoor unit to operate according to the current rotating speed and/or the current position value.
In the embodiment of the invention, after the air conditioner is controlled to exit the artificial intelligence strong mode, the fan blades of the outdoor unit are controlled to operate according to the current rotating speed and/or the current position value.
Further, as shown in fig. 6, after the step of S204 in the embodiment shown in fig. 5, the method may further include:
s301, recognizing that the air conditioner does not meet the exit condition of the artificial intelligence strong mode.
In the embodiment of the present invention, it is recognized that the air conditioner does not satisfy the exit condition of the artificial intelligence robust mode, wherein the exit condition of the artificial intelligence robust mode can be described in detail in the embodiment shown in fig. 5, and is not described herein again.
S302, identifying that the range of the temperature of the outdoor unit heat exchanger in the first set time k is greater than a set range threshold value x.
In the embodiment of the invention, a set range threshold value x can be preset, the range of the temperature of the outdoor heat exchanger in a first set time k is calculated, and the range of the temperature of the outdoor heat exchanger in the first set time k is identified to be larger than the set range threshold value x. The extreme difference of the temperature of the outdoor heat exchanger in the first set time k is the difference between the maximum value and the minimum value of the temperature of the outdoor heat exchanger in the first set time k.
And S303, controlling the fan blades of the outdoor unit to operate for a first set time k according to the current rotating speed and/or the current position value.
In the embodiment of the invention, the range of the temperature of the heat exchanger of the outdoor unit in the first set time k is greater than the set range threshold value x, and then the fan blades of the outdoor unit are controlled to operate for the first set time k according to the current rotating speed and/or the current position value.
S304, the temperature T3 of the outdoor heat exchanger is recorded again.
In the embodiment of the invention, the temperature T3 of the heat exchanger of the outdoor unit is obtained and recorded again.
S305, whether the air conditioner meets the exit condition of the artificial intelligence strong mode or not is continuously identified.
In the embodiment of the invention, whether the air conditioner meets the exit condition of the artificial intelligence strong mode is continuously identified.
Further, as shown in fig. 7, after the step S301 in the embodiment shown in fig. 6, the method may further include:
s401, identifying that the range of the temperature of the outdoor unit heat exchanger in a first set time k is equal to or less than a set range threshold value x.
In the embodiment of the invention, a set range threshold value x can be preset, the range of the temperature of the outdoor heat exchanger in a first set time k is calculated, and the range of the temperature of the outdoor heat exchanger in the first set time k is identified to be equal to or less than the set range threshold value x.
S402, controlling the fan blades of the outdoor unit to operate for a first set time k according to the rotating speed and/or the position value corresponding to the adjusting times n.
In an embodiment of the present invention, the different adjustment times n correspond to different rotation speeds and/or position values, for example, preset sets of rotation speeds and/or position values [ (a)1,b1),(a2,b2),(a3,b3)……(an,bn)……(am,bm)]The rotation speed and/or position value corresponding to the adjustment number n is (a)n,bn) That is, the rotation speed and/or position values corresponding to n-1, n-2, and n-3 … … are (a)1,b1)、(a2,b2)、(a3,b3) … …, controlling the fan blades of the outdoor unit to operate for a first set time k according to the rotating speed and/or the position value corresponding to the adjusting times n.
S403, the current temperature T3 of the outdoor heat exchanger is recorded again.
In the embodiment of the invention, the temperature T3 of the heat exchanger of the outdoor unit is obtained and recorded again.
S404, recognizing that a difference value between the current outdoor unit heat exchanger temperature T3 recorded this time and the current outdoor unit heat exchanger temperature T3 recorded last time is within a preset difference value range [ i, j ].
In the embodiment of the present invention, a difference range [ i, j ] may be preset, a difference between the current temperature T3 of the outdoor unit heat exchanger and the last recorded current temperature T3 of the outdoor unit heat exchanger is calculated, and it is recognized that the difference is within the preset difference range [ i, j ].
S405, controlling the fan blades of the outdoor unit to operate for a first set time k according to the current rotating speed and/or the current position value.
In the embodiment of the invention, the difference value between the current recorded temperature T3 of the heat exchanger of the outdoor unit and the last recorded temperature T3 of the heat exchanger of the outdoor unit is within a preset difference value range [ i, j ], and the fan blade of the outdoor unit is controlled to operate for the first set time k according to the current rotating speed and/or the current position value.
S406, continuing to add one to the adjustment number n, and recording the adjustment number n after adding one.
In the embodiment of the present invention, the step of "adding one to the adjustment number n and recording the adjustment number n after adding one" is continued, that is, the step of S204 is executed again.
Further, as shown in fig. 8, after the step S403 in the embodiment shown in fig. 7, the control method may further include:
s501, recognizing that the difference between the current outdoor unit heat exchanger T3 temperature recorded this time and the current outdoor unit heat exchanger temperature T3 recorded last time is outside the difference range [ i, j ].
In the embodiment of the present invention, a difference range [ i, j ] may be preset, a difference between the current temperature T3 of the outdoor unit heat exchanger and the last recorded current temperature T3 of the outdoor unit heat exchanger is calculated, and it is recognized that the difference is outside the preset difference range [ i, j ].
And S502, controlling the fan blades of the outdoor unit to operate for a first set time k according to the rotating speed and/or the position value before the current rotating speed and/or the current position value.
In the embodiment of the invention, the difference value between the current temperature of the outdoor unit heat exchanger T3 and the last recorded current temperature T3 of the outdoor unit heat exchanger is positioned outside the difference value range [ i, j ], and the fan blade of the outdoor unit is controlled to operate for the first set time k according to the rotating speed and/or the position value before the current rotating speed and/or the current position value.
And S503, continuing to add one to the adjustment number n, and recording the adjustment number n after adding one.
In the embodiment of the present invention, the step of "adding one to the adjustment number n and recording the adjustment number n after adding one" is continued, that is, the step of S204 is executed again.
Further, before the step S101 in the embodiment shown in fig. 1, the control method may further include:
and recognizing the entry condition that the air conditioner meets the artificial intelligence strong mode.
In the embodiment of the invention, the air conditioner is controlled to enter the step S101 by identifying that the air conditioner meets the entry condition of the artificial intelligence strong mode.
As a possible implementation, the entry condition of the artificial intelligence robust mode may include any one or a combination of more of the following conditions:
(1) receiving a control instruction of a user for entering an artificial intelligence robust mode;
(2) detecting that the temperature and/or the humidity of the air conditioner meet a temperature and/or humidity threshold entry condition;
(3) detecting that the operating parameters of the air conditioner meet parameter threshold entry conditions;
(4) detecting a second set time for starting the air conditioner;
(5) and detecting the starting of the compressor of the air conditioner for a third set time.
The control execution of the user exiting the artificial intelligence robust mode in the condition (1) can include but is not limited to a remote controller instruction, a mobile phone APP instruction, a gesture control instruction, a voice control instruction and the like; the temperature and/or humidity of the air conditioner in the condition (2) may include, but is not limited to, an indoor unit intake air temperature and/or humidity, an indoor unit coil temperature and/or humidity, an outdoor unit intake air temperature and/or humidity, an outdoor unit coil temperature and/or humidity, a compressor discharge air temperature and/or humidity, a compressor return air temperature and/or humidity, an electric control device temperature and/or humidity, and the like; condition (3) operating parameters may include, but are not limited to, compressor frequency, system current, system voltage, system power, indoor unit fan speed and/or position, outdoor unit fan speed and/or position, and the like.
To sum up, the control method according to the embodiment of the present invention may be specifically as shown in fig. 9, and includes:
s601, judging whether the air conditioner meets the entry condition of the artificial intelligence strong mode.
If yes, go to step S602; if not, the process proceeds to step S616.
And S602, controlling the air conditioner to enter an artificial intelligence powerful mode.
S603, the number of times of adjustment n is recorded to be equal to the initial value of the number of times of adjustment.
And S604, controlling the fan blades of the outdoor unit to operate for a first set time k according to the rotating speed and/or the position value corresponding to the adjusting times n.
And S605, recording the temperature T3 of the heat exchanger of the current outdoor unit.
And S606, adding one to the adjusting times n, and recording the adjusting times n after adding one.
And S607, judging whether the air conditioner meets the exit condition of the artificial intelligence strong mode.
If yes, go to step S608; if not, the process proceeds to step S609.
And S608, controlling the air conditioner to exit from the artificial intelligence strong mode, and controlling the fan blades of the outdoor unit to operate according to the current rotating speed and/or the current position value.
And S609, judging whether the range of the temperature of the outdoor unit heat exchanger in the first set time k is larger than a set range threshold value x.
If yes, go to step S610; if not, the process proceeds to step S611.
S610, controlling the fan blades of the outdoor unit to operate for a first set time k according to the current rotating speed and/or the current position value, entering the step S612, and then returning to the step S607.
And S611, controlling the fan blades of the outdoor unit to rotate for a first set time k according to the rotating speed and/or the position value corresponding to the adjusting times n.
And S612, recording the temperature T3 of the heat exchanger of the outdoor unit again.
S613, determining whether the difference between the current outdoor unit heat exchanger temperature T3 recorded this time and the current outdoor unit heat exchanger temperature T3 recorded last time is within a preset difference range [ i, j ].
If yes, go to step S614; if not, the process proceeds to step S615.
And S614, controlling the fan blades of the outdoor unit to operate for a first set time k according to the current rotating speed and/or the current position value, and returning to the step S606.
And S615, controlling the fan blades of the outdoor unit to operate for a first set time k according to the rotating speed and/or the position value before the current rotating speed and/or the current position value, and returning to the step S606.
And S616, controlling the air conditioner to normally operate.
According to the control method of the air conditioner, the air conditioner is controlled to enter an artificial intelligence strong mode; the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the system capacity of the air conditioner is exerted to the maximum extent, or the highest running efficiency is achieved.
Fig. 10 is a structural view of a control apparatus of an air conditioner according to an embodiment of the present invention, as shown in fig. 10, the control apparatus including:
the control module 21 is used for controlling the air conditioner to enter an artificial intelligence powerful mode;
and the adjusting module 22 is used for adjusting the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner in a self-learning mode.
It should be noted that the foregoing explanation of the embodiment of the control method of the air conditioner is also applicable to the control device of the air conditioner of this embodiment, and details are not repeated here.
According to the control method of the air conditioner, the air conditioner is controlled to enter an artificial intelligence strong mode; the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the system capacity of the air conditioner is exerted to the maximum extent, or the highest running efficiency is achieved.
Further, in a possible implementation manner of the embodiment of the present invention, the adjusting module 22 is specifically configured to: determining a target rotating speed and/or a target position value in a plurality of groups of preset rotating speed and/or position values in a self-learning mode; and adjusting the rotating speed and/or the position of the fan blade of the outdoor unit according to the target rotating speed and/or the target position value.
Further, in a possible implementation manner of the embodiment of the present invention, the adjusting module 22 is specifically configured to: recording that the adjusting times are equal to the initial adjusting times; controlling fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and/or the position value corresponding to the adjusting times; recording the temperature of the heat exchanger of the current outdoor unit; adding one to the adjusting times, and recording the adjusting times after adding one; identifying an exit condition that the air conditioner meets an artificial intelligence strong mode; and controlling the air conditioner to exit from the artificial intelligence strong mode.
Further, in a possible implementation manner of the embodiment of the present invention, the adjusting module 22 is further configured to: and after the air conditioner is controlled to exit the artificial intelligence powerful mode, the fan blades of the outdoor unit are controlled to operate according to the current rotating speed and/or the current position value.
Further, in a possible implementation manner of the embodiment of the present invention, the adjusting module 22 is further configured to: after recording the number of times of adjustment after adding one, recognizing that the air conditioner does not meet the exit condition of the artificial intelligence strong mode; identifying that the range of the temperature of the heat exchanger of the outdoor unit in a first set time is greater than a set range threshold; controlling fan blades of the outdoor unit to operate for a first set time according to the current rotating speed and/or the current position value; recording the temperature of the heat exchanger of the outdoor unit again; and continuously identifying whether the air conditioner meets the exit condition of the artificial intelligence strong mode.
Further, in a possible implementation manner of the embodiment of the present invention, the adjusting module 22 is further configured to: after the air conditioner is identified not to meet the exit condition of the artificial intelligence robust mode, identifying that the range of the temperature of the heat exchanger of the outdoor unit in a first set time is equal to or less than a set range threshold; controlling fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and/or the position value corresponding to the adjusting times; recording the temperature of the heat exchanger of the outdoor unit again; recognizing that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is within a preset difference value range; controlling fan blades of the outdoor unit to operate for a first set time according to the current rotating speed and/or the current position value; and continuing to increase the adjustment times by one, and recording the adjustment times after the increase of one.
Further, in a possible implementation manner of the embodiment of the present invention, the adjusting module 22 is further configured to: after the temperature of the current outdoor unit heat exchanger is recorded again, recognizing that the difference value between the recorded temperature of the current outdoor unit heat exchanger and the recorded temperature of the current outdoor unit heat exchanger at the last time is out of the difference value range; controlling fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and/or the position value before the current rotating speed and/or the current position value; and continuing to increase the adjustment times by one, and recording the adjustment times after the increase of one.
Further, in a possible implementation manner of the embodiment of the present invention, the control module 22 is further configured to: before controlling the air conditioner to enter the artificial intelligence robust mode, recognizing that the air conditioner meets the entry condition of the artificial intelligence robust mode.
Further, in a possible implementation manner of the embodiment of the present invention, the entry condition of the artificial intelligence robust mode includes any one or a combination of more of the following conditions: receiving a control instruction of a user for entering an artificial intelligence robust mode; detecting that the temperature and/or the humidity of the air conditioner meet a temperature and/or humidity threshold entry condition; detecting that the operating parameters of the air conditioner meet parameter threshold entry conditions; detecting a second set time for starting the air conditioner; and detecting the starting of the compressor of the air conditioner for a third set time.
Further, in a possible implementation manner of the embodiment of the present invention, the exit condition of the artificial intelligence robust mode includes any one or a combination of more of the following conditions: receiving a control instruction of a user for exiting from the artificial intelligence robust mode; detecting that the temperature and/or the humidity of the air conditioner meet a temperature and/or humidity threshold exit condition; detecting that the operating parameters of the air conditioner meet a parameter threshold exit condition; detecting a fourth set time for starting the air conditioner; detecting a fifth set time for starting a compressor of the air conditioner; and detecting that the adjusting times are greater than a preset time threshold.
It should be noted that the foregoing explanation of the embodiment of the control method of the air conditioner is also applicable to the control device of the air conditioner of this embodiment, and details are not repeated here.
According to the control method of the air conditioner, the air conditioner is controlled to enter an artificial intelligence strong mode; the rotating speed and/or the position of the fan blade of the outdoor unit of the air conditioner are adjusted in a self-learning mode, so that the fan blade of the outdoor unit can run at the optimal rotating speed and/or the optimal position, the system capacity of the air conditioner is exerted to the maximum extent, or the highest running efficiency is achieved.
In order to implement the above embodiment, an air conditioner 30 according to an embodiment of the present invention is further provided, as shown in fig. 11, including a control device 31 of the air conditioner according to the above embodiment.
In order to implement the foregoing embodiment, the embodiment of the present invention further provides an electronic device 40, as shown in fig. 12, which includes a memory 41 and a processor 42. The memory 41 stores thereon a computer program operable on the processor 42, and the processor 42 executes the program to implement the control method of the air conditioner as shown in the above embodiments.
In order to implement the above embodiments, an embodiment of the present invention also proposes a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the control method of the air conditioner as shown in the above embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (19)
1. A method of controlling an air conditioner, comprising:
controlling the air conditioner to enter an artificial intelligence powerful mode;
adjusting the rotating speed and the position of a fan blade of an outdoor unit of the air conditioner in a self-learning mode; wherein the content of the first and second substances,
the method for adjusting the rotating speed and the position of the fan blade of the outdoor unit of the air conditioner in a self-learning mode comprises the following steps:
determining target rotating speed and target position values in preset groups of rotating speed and position values in a self-learning mode;
adjusting the rotating speed and the position of a fan blade of the outdoor unit according to the target rotating speed and the target position value;
determining a target rotating speed and a target position value in a plurality of preset groups of rotating speeds and position values in a self-learning mode; adjusting the rotating speed and the position of a fan blade of the outdoor unit according to the target rotating speed and the target position value, and the method comprises the following steps:
recording that the adjusting times are equal to the initial adjusting times;
controlling the fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and the position value corresponding to the adjusting times;
recording the temperature of the heat exchanger of the current outdoor unit;
adding one to the adjusting times, and recording the adjusting times after adding one;
identifying that the air conditioner satisfies an exit condition of the artificial intelligence robust mode;
when the air conditioner is identified to meet the exit condition of the artificial intelligence robust mode, controlling the air conditioner to exit the artificial intelligence robust mode;
and when the air conditioner is identified not to meet the exit condition of the artificial intelligence robust mode, adding one to the adjusting times, recording the adjusting times after adding one, and continuously identifying that the air conditioner meets the exit condition of the artificial intelligence robust mode.
2. The control method according to claim 1, wherein after controlling the air conditioner to exit the artificial intelligence robust mode, further comprising:
and controlling the fan blades of the outdoor unit to operate according to the current rotating speed and the current position value.
3. The control method of claim 1, wherein after recording the number of adjustments added to one, further comprising:
identifying that the air conditioner does not satisfy an exit condition of the artificial intelligence robust mode;
identifying that the range of the temperature of the heat exchanger of the outdoor unit in the first set time is greater than a set range threshold;
controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and the current position value;
recording the temperature of the heat exchanger of the outdoor unit again;
and continuously identifying whether the air conditioner meets the exit condition of the artificial intelligence robust mode.
4. The control method of claim 3, wherein after identifying that the air conditioner does not satisfy the exit condition of the artificial intelligence robust mode, further comprising:
identifying that the range of the temperature of the outdoor unit heat exchanger in the first set time is equal to or less than a set range threshold;
controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and the position value corresponding to the adjusting times;
recording the temperature of the heat exchanger of the outdoor unit again;
recognizing that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is within a preset difference value range;
controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and the current position value;
and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
5. The control method of claim 4, wherein after recording the temperature of the heat exchanger of the outdoor unit again, the method further comprises:
identifying that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is out of the difference value range;
controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and the position value before the current rotating speed and the current position value;
and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
6. The control method according to claim 1, wherein before controlling the air conditioner to enter the artificial intelligence robust mode, further comprising:
and identifying that the air conditioner meets the entry condition of the artificial intelligence robust mode.
7. The control method according to claim 6, wherein the entry condition of the artificial intelligence robust mode includes any one or a combination of more of the following conditions:
receiving a control instruction of a user for entering the artificial intelligence robust mode;
detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold entry condition;
detecting that the operating parameters of the air conditioner meet a parameter threshold entry condition;
detecting a second set time for starting the air conditioner;
and detecting the starting of the compressor of the air conditioner for a third set time.
8. The control method according to claim 1, wherein the exit condition of the artificial intelligence robust mode includes any one or a combination of more of the following conditions:
receiving a control instruction of a user for exiting the artificial intelligence robust mode;
detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold exit condition;
detecting that the operating parameters of the air conditioner meet a parameter threshold exit condition;
detecting a fourth set time for starting the air conditioner;
detecting a fifth set time for starting a compressor of the air conditioner;
and detecting that the adjusting times are greater than a preset time threshold.
9. A control apparatus of an air conditioner, comprising:
the control module is used for controlling the air conditioner to enter an artificial intelligence powerful mode;
the adjusting module is used for adjusting the rotating speed and the position of a fan blade of an outdoor unit of the air conditioner in a self-learning mode, determining a target rotating speed and a target position value in a plurality of preset groups of rotating speed and position values in a self-learning mode, and adjusting the rotating speed and the position of the fan blade of the outdoor unit according to the target rotating speed and the target position value;
the adjusting module is specifically configured to:
recording that the adjusting times are equal to the initial adjusting times;
controlling the fan blades of the outdoor unit to rotate for a first set time according to the rotating speed and the position value corresponding to the adjusting times;
recording the temperature of the heat exchanger of the current outdoor unit;
adding one to the adjusting times, and recording the adjusting times after adding one;
identifying that the air conditioner satisfies an exit condition of the artificial intelligence robust mode;
when the air conditioner is identified to meet the exit condition of the artificial intelligence robust mode, controlling the air conditioner to exit the artificial intelligence robust mode;
and when the air conditioner is identified not to meet the exit condition of the artificial intelligence robust mode, adding one to the adjusting times, recording the adjusting times after adding one, and continuously identifying that the air conditioner meets the exit condition of the artificial intelligence robust mode.
10. The control device of claim 9, wherein the adjustment module is further configured to:
and after the air conditioner is controlled to exit the artificial intelligence powerful mode, controlling the fan blades of the outdoor unit to operate according to the current rotating speed and the current position value.
11. The control device of claim 9, wherein the adjustment module is further configured to:
after the recorded number of times of adjustment plus one, recognizing that the air conditioner does not meet the exit condition of the artificial intelligence robust mode;
identifying that the range of the temperature of the heat exchanger of the outdoor unit in the first set time is greater than a set range threshold;
controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and the current position value;
recording the temperature of the heat exchanger of the outdoor unit again;
and continuously identifying whether the air conditioner meets the exit condition of the artificial intelligence robust mode.
12. The control device of claim 11, wherein the adjustment module is further configured to:
after the air conditioner is identified not to meet the exit condition of the artificial intelligence robust mode, identifying that the range of the temperature of the outdoor unit heat exchanger within the first set time is equal to or less than a set range threshold;
controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and the position value corresponding to the adjusting times;
recording the temperature of the heat exchanger of the outdoor unit again;
recognizing that the difference value between the current recorded temperature of the heat exchanger of the outdoor unit and the last recorded temperature of the heat exchanger of the outdoor unit is within a preset difference value range;
controlling the fan blades of the outdoor unit to operate for the first set time according to the current rotating speed and the current position value;
and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
13. The control apparatus of claim 12, wherein the adjustment module is further configured to:
after the temperature of the current outdoor unit heat exchanger is recorded again, identifying that the difference value between the recorded temperature of the current outdoor unit heat exchanger and the recorded temperature of the current outdoor unit heat exchanger at the last time is out of the difference value range;
controlling the fan blades of the outdoor unit to operate for the first set time according to the rotating speed and the position value before the current rotating speed and the current position value;
and continuing the step of adding one to the adjusting times and recording the adjusting times after adding one.
14. The control device of claim 9, wherein the control module is further configured to:
recognizing that the air conditioner satisfies an entry condition of an artificial intelligence robust mode before controlling the air conditioner to enter the artificial intelligence robust mode.
15. The control device of claim 14, wherein the entry condition of the artificial intelligence robust mode comprises any one or a combination of more of the following conditions:
receiving a control instruction of a user for entering the artificial intelligence robust mode;
detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold entry condition;
detecting that the operating parameters of the air conditioner meet a parameter threshold entry condition;
detecting a second set time for starting the air conditioner;
and detecting the starting of the compressor of the air conditioner for a third set time.
16. The control apparatus of claim 9, wherein the exit condition of the artificial intelligence robust mode comprises any one or a combination of more of the following conditions:
receiving a control instruction of a user for exiting the artificial intelligence robust mode;
detecting that the temperature and/or humidity of the air conditioner meets a temperature and/or humidity threshold exit condition;
detecting that the operating parameters of the air conditioner meet a parameter threshold exit condition;
detecting a fourth set time for starting the air conditioner;
detecting a fifth set time for starting a compressor of the air conditioner;
and detecting that the adjusting times are greater than a preset time threshold.
17. An air conditioner, comprising: a control apparatus of an air conditioner according to any one of claims 9 to 16.
18. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of controlling an air conditioner according to any one of claims 1 to 8 when executing the program.
19. A computer-readable storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the control method of an air conditioner according to any one of claims 1 to 8.
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| JP2016061456A (en) * | 2014-09-16 | 2016-04-25 | 株式会社富士通ゼネラル | Air conditioning device |
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