CN114562805B - Air conditioner, control method thereof and computer storage medium - Google Patents
Air conditioner, control method thereof and computer storage medium Download PDFInfo
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- CN114562805B CN114562805B CN202011367494.9A CN202011367494A CN114562805B CN 114562805 B CN114562805 B CN 114562805B CN 202011367494 A CN202011367494 A CN 202011367494A CN 114562805 B CN114562805 B CN 114562805B
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- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000012937 correction Methods 0.000 claims abstract description 47
- 238000013499 data model Methods 0.000 claims description 49
- 230000007613 environmental effect Effects 0.000 claims description 30
- 230000008569 process Effects 0.000 claims description 11
- 230000009471 action Effects 0.000 claims description 7
- 238000012549 training Methods 0.000 claims description 7
- 230000001960 triggered effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 description 15
- 238000003062 neural network model Methods 0.000 description 13
- 238000001816 cooling Methods 0.000 description 9
- 238000010438 heat treatment Methods 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000006399 behavior Effects 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 238000005057 refrigeration Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000007664 blowing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
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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
- F24F11/89—Arrangement or mounting of control or safety devices
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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
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a control method of an air conditioner, which comprises the following steps: acquiring recommended setting parameters corresponding to a current running mode at regular time; acquiring a correction value set by a user, and correcting the recommended setting parameter according to the correction value; and controlling the air conditioner to operate according to the corrected recommended setting parameters. The invention also discloses an air conditioner and a computer storage medium. After the recommended setting parameters of the air conditioner are obtained, the recommended setting parameters are corrected according to the corrected values set by the user, and the air conditioner is controlled according to the corrected recommended setting parameters, so that the automatic control of the air conditioner can be adjusted according to the user requirements, and the automatic control of the air conditioner is more convenient.
Description
Technical Field
The present invention relates to the field of air conditioners, and in particular, to an air conditioner, a control method thereof, and a computer storage medium.
Background
Many users often do not know what the temperature is suitable for themselves when adjusting the air conditioner, and need to adjust the air conditioner repeatedly. To solve this problem, the air conditioner is generally set to be automatically adjusted according to a preset rule, for example, statistics is performed according to user history, and the set temperature of the air conditioner is adjusted to a temperature corresponding to the user history.
In the process of automatically adjusting the air conditioner, the operation parameters which need to be set by the air conditioner can be predicted only according to preset rules, and the air conditioner can be controlled only according to the predicted operation parameters.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide an air conditioner, a control method thereof and a computer storage medium, and aims to correct recommended setting parameters through correction values set by a user, so that the automatic control of the air conditioner is more convenient.
In order to achieve the above object, the present invention provides a control method of an air conditioner, the control method of the air conditioner comprising the steps of:
acquiring recommended setting parameters corresponding to a current running mode at regular time;
acquiring a correction value set by a user, and correcting the recommended setting parameter according to the correction value;
and controlling the air conditioner to operate according to the corrected recommended setting parameters.
Optionally, before the step of obtaining the correction value set by the user, the control method of the air conditioner further includes:
and when a correction instruction triggered by a user is received, storing a correction value corresponding to the correction instruction as a correction value set by the user.
Optionally, before the step of obtaining the recommended setting parameter corresponding to the current operation mode at fixed time, the method further includes:
determining a target operation mode of the air conditioner;
and controlling the air conditioner to operate the target operation mode.
Optionally, the step of determining the target operation mode of the air conditioner includes:
acquiring recommended setting parameters corresponding to each preset operation mode of the air conditioner;
acquiring recommended set temperatures in recommended set parameters corresponding to each preset operation mode;
and determining the target operation mode according to the recommended set temperature corresponding to each preset operation mode and the ambient temperature of the acting space of the air conditioner.
Optionally, the step of determining the target operation mode according to the recommended set temperature corresponding to each preset operation mode and the ambient temperature of the acting space of the air conditioner includes:
acquiring a temperature difference between a recommended set temperature corresponding to each preset operation mode and the ambient temperature;
and determining the target operation mode in a plurality of preset operation modes according to the temperature difference.
Optionally, the step of determining the target operation mode of the air conditioner includes:
acquiring a position area of the air conditioner;
acquiring operation modes of other air conditioners except the air conditioner in the position area;
and determining a target operation mode of the air conditioner according to the operation modes of the other air conditioners.
Optionally, the step of periodically acquiring the recommended setting parameter corresponding to the current operation mode includes:
acquiring a data model corresponding to the current operation mode;
acquiring environmental parameters of the acting space of the air conditioner at regular time;
and acquiring the recommended setting parameters according to the environmental parameters and the data model.
Optionally, before the step of acquiring the data model corresponding to the current operation mode, the control method of the air conditioner further includes:
acquiring historical environment parameters of an acting space of the air conditioner and historical setting parameters corresponding to the historical environment parameters when the air conditioner is in the current running mode;
training a preset data model by adopting the historical environment parameters and the historical setting parameters to obtain the data model;
and storing the data model.
Optionally, after the step of obtaining the correction value set by the user and correcting the recommended setting parameter according to the correction value, the method further includes:
acquiring environmental parameters of an action space of the air conditioner;
and updating the data model by adopting the environment parameters and the corrected recommended setting parameters.
In addition, in order to achieve the above object, the present invention also provides an air conditioner including: the control method comprises the steps of a memory, a processor and a control program of an air conditioner which is stored in the memory and can run on the processor, wherein the control program of the air conditioner is executed by the processor to realize the control method of the air conditioner.
In addition, in order to achieve the above object, the present invention also provides a computer storage medium having stored thereon a control program of an air conditioner, which when executed by a processor, implements the steps of the control method of an air conditioner as described above.
According to the air conditioner, the control method and the computer storage medium thereof, which are provided by the embodiment of the invention, the recommended setting parameters corresponding to the current operation mode are obtained at regular time, the correction value set by a user is obtained, the recommended setting parameters are corrected according to the correction value, and the air conditioner is controlled to operate according to the corrected recommended setting parameters. After the recommended setting parameters of the air conditioner are obtained, the recommended setting parameters are corrected according to the corrected values set by the user, and the air conditioner is controlled according to the corrected recommended setting parameters, so that the automatic control of the air conditioner can be adjusted according to the user requirements, and the automatic control of the air conditioner is more convenient.
Drawings
FIG. 1 is a schematic diagram of a terminal structure of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart of an embodiment of the control of the air conditioner of the present invention;
FIG. 3 is a flow chart of another embodiment of controlling an air conditioner according to the present invention;
FIG. 4 is a flow chart of an air conditioner according to another embodiment of the present invention;
fig. 5 is a flowchart illustrating a control of an air conditioner according to another embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the invention provides a solution, after the recommended setting parameters of the air conditioner are obtained, the recommended setting parameters are corrected according to the corrected values set by the user, and the air conditioner is controlled according to the corrected recommended setting parameters, and the automatic control of the air conditioner can be adjusted according to the requirements of the user, so that the automatic control of the air conditioner is more convenient.
As shown in fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention is an air conditioner.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the terminal structure shown in fig. 1 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein a network communication module, a user interface module, and a control program of an air conditioner.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call a control program of the air conditioner stored in the memory 1005 and perform the following operations:
acquiring recommended setting parameters corresponding to a current running mode at regular time;
acquiring a correction value set by a user, and correcting the recommended setting parameter according to the correction value;
and controlling the air conditioner to operate according to the corrected recommended setting parameters.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
and when a correction instruction triggered by a user is received, storing a correction value corresponding to the correction instruction as a correction value set by the user.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
determining a target operation mode of the air conditioner;
and controlling the air conditioner to operate the target operation mode.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
acquiring recommended setting parameters corresponding to each preset operation mode of the air conditioner;
acquiring recommended set temperatures in recommended set parameters corresponding to each preset operation mode;
and determining the target operation mode according to the recommended set temperature corresponding to each preset operation mode and the ambient temperature of the acting space of the air conditioner.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
acquiring a temperature difference between a recommended set temperature corresponding to each preset operation mode and the ambient temperature;
and determining the target operation mode in a plurality of preset operation modes according to the temperature difference.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
acquiring a position area of the air conditioner;
acquiring operation modes of other air conditioners except the air conditioner in the position area;
and determining a target operation mode of the air conditioner according to the operation modes of the other air conditioners.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
acquiring a data model corresponding to the current operation mode;
acquiring environmental parameters of the acting space of the air conditioner at regular time;
and acquiring the recommended setting parameters according to the environmental parameters and the data model.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
acquiring historical environment parameters of an acting space of the air conditioner and historical setting parameters corresponding to the historical environment parameters when the air conditioner is in the current running mode;
training a preset data model by adopting the historical environment parameters and the historical setting parameters to obtain the data model;
and storing the data model.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and further perform the following operations:
acquiring environmental parameters of an action space of the air conditioner;
and updating the data model by adopting the environment parameters and the corrected recommended setting parameters.
Referring to fig. 2, in an embodiment, the control method of the air conditioner includes the steps of:
step S10, regularly acquiring recommended setting parameters corresponding to a current operation mode;
in this embodiment, the embodiment terminal is an air conditioner. The air conditioner has an AI control function, and after the air conditioner starts the AI control function, the air conditioner can automatically obtain the recommended setting parameters corresponding to the current running mode at regular time so as to automatically control the air conditioner according to the recommended setting parameters, and the user does not need to manually set the setting parameters, for example, the user does not need to manually set the setting temperature, the setting humidity and the like of the air conditioner.
Optionally, the air conditioner includes a plurality of operation modes, for example, the operation modes include at least one of a cooling mode, a heating mode, and a blowing mode. Optionally, the different operation modes correspond to different recommended setting temperatures, for example, the different operation modes are provided with different determining modes of the recommended setting parameters, so that the operation modes correspond to the recommended setting parameters through different obtaining modes of the recommended setting parameters.
Optionally, the recommended setting parameters include a recommended value of a set temperature of the air conditioner, a recommended value of a set humidity of the air conditioner, a recommended value of a set wind speed of the air conditioner, and the like, wherein the recommended setting parameters corresponding to the air supply mode do not include the recommended set temperature.
Step S20, obtaining a correction value set by a user, and correcting the recommended setting parameters according to the correction value;
in this embodiment, the user has a specific requirement in some situations, for example, the user needs to increase the cooling capability of the air conditioner after the user just moves home, for example, when the user has more customers at home, the cooling capability of the air conditioner needs to be increased correspondingly, for example, when the air conditioner is installed in a rental house, the tenant of the rental house may be newly moved, and the cooling and heating requirements of different tenants are different, so that the tenant also needs to adjust the heat exchange capability of the air conditioner according to the actual situation. Because the traditional air conditioner cannot be intervened by a user in the automatic control process, the user can only withdraw from the automatic control of the air conditioner and can completely and manually control the air conditioner instead, so that the heat exchange requirement of the user can be met.
Optionally, when the air conditioner operates, a user can trigger the correction instruction at any time through a remote controller, a key on the air conditioner and the like, so that when the air conditioner receives the correction instruction, the correction value corresponding to the correction instruction is stored as the correction value set by the user, and the air conditioner can acquire the correction value set by the user later. And because the recommended setting parameters corresponding to the current operation mode are obtained and the subsequent steps are executed at fixed time, after the subsequent air conditioner obtains the recommended setting parameters corresponding to the current operation mode each time, the recommended setting parameters can be corrected according to the correction value stored before, and the air conditioner is controlled to operate according to the corrected recommended setting parameters so as to meet the requirements of users.
Optionally, the change of the user's demand may be temporary, so the air conditioner may clear the saved correction value when performing the shutdown action, so as to avoid the air conditioner from continuing to correct the recommended setting parameter after the next startup.
Alternatively, the correction value may include correction values of various parameters such as a set temperature, a set humidity, and a set wind speed, and thus, the user may correct the various set parameters of the air conditioner through the correction action.
And step S30, controlling the air conditioner to operate according to the corrected recommended setting parameters.
In this embodiment, after the recommended setting parameters automatically recommended by the air conditioner are corrected according to the correction value set by the user, the air conditioner is controlled to operate according to the corrected recommended setting parameters, that is, the setting parameters of the air conditioner are adjusted to the corrected recommended setting parameters, so that the heat exchange capacity of the air conditioner meets the user requirements, the indoor user is more comfortable, the automatic control process of the air conditioner can allow the user to correct, and the automatic control function of the air conditioner is more intelligent.
In the technical scheme disclosed in the embodiment, after the recommended setting parameters of the air conditioner are obtained, the recommended setting parameters are corrected according to the corrected values set by the user, and the air conditioner is controlled according to the corrected recommended setting parameters, and the automatic control of the air conditioner can be adjusted according to the user requirements, so that the automatic control of the air conditioner is more convenient.
In another embodiment, as shown in fig. 3, based on the embodiment shown in fig. 2, before step S10, the method further includes:
step S40, determining a target operation mode of the air conditioner;
and step S50, controlling the air conditioner to operate the target operation mode.
In this embodiment, after the air conditioner starts the AI control function, the air conditioner automatically determines a target operation mode of the air conditioner and controls the air conditioner to operate in the target operation mode. After the AI control function is turned on and the target operation mode is automatically determined, the air conditioner is always in the target operation mode until the AI control function of the air conditioner is turned off or until the air conditioner is turned off.
Optionally, when determining the target operation parameters of the air conditioner, different modes may be used for determining, for example, the target operation mode of the air conditioner that needs to be turned on may be determined based on recommended setting parameters corresponding to each preset mode of the air conditioner, for example, the target operation mode of the air conditioner that needs to be turned on may be determined based on the same city recommended mode, and for example, the target operation mode of the air conditioner that needs to be turned on may be determined based on historical behaviors of the historical operation mode of the air conditioner that has been turned on, the historical operation mode that has been set by the user, and the like.
Optionally, when determining the target operation mode of the air conditioner to be started based on the same city recommendation mode, the air conditioner may be positioned to obtain the geographical position of the air conditioner, the location area of the air conditioner is determined according to the geographical position of the air conditioner, then the operation modes of other air conditioners except the air conditioner in the location area are obtained, and the target operation mode of the air conditioner is determined according to the operation modes of other air conditioners except the air conditioner in the location area. It should be noted that, each air conditioner is connected with the cloud end, and the geographic position of each air conditioner can be reported to the cloud end, so that the cloud end can determine other air conditioners in the area where the air conditioner is located.
Optionally, when determining the location area of the air conditioner, the geographical location of the air conditioner may be used as a center of a circle, the preset distance is used as a radius, a circular area is formed, and the circular area is used as the location area of the air conditioner, or an administrative division area where the geographical location of the air conditioner is located may be obtained, and the administrative division area is used as the location area of the air conditioner.
Alternatively, when the target operation mode of the air conditioner is determined according to the operation modes of other air conditioners in the location area, the current operation mode of other air conditioners in the location area, except the air conditioner, which are in operation, can be obtained, and the operation mode of the other air conditioners in the location area, except the air conditioner, which are in operation, which are most in operation, is taken as the target operation mode of the air conditioner, for example, most of the other air conditioners in the same city as the air conditioner are operation refrigeration modes, and then the target operation mode is determined to be the refrigeration mode. Alternatively, the operation mode with the largest operation in the historical preset time period of other air conditioners except the air conditioner in the location area can be obtained and used as the target operation mode of the air conditioner.
In the technical scheme disclosed by the embodiment, the target operation mode of the air conditioner is determined, the air conditioner is controlled to operate in the target operation mode, the automatic judgment of the target operation mode of the air conditioner which needs to be started is realized, and the air conditioner is controlled automatically more intelligently.
In yet another embodiment, as shown in fig. 4, step S40 includes, on the basis of the embodiment shown in fig. 3:
step S41, acquiring recommended setting parameters corresponding to each preset operation mode of the air conditioner;
in this embodiment, when determining a target operation mode of the air conditioner that needs to be turned on based on recommended setting parameters corresponding to each preset mode of the air conditioner, the recommended setting parameters corresponding to each preset operation mode of the air conditioner are first obtained, so as to determine the target operation parameters according to the recommended setting parameters corresponding to each preset operation mode.
Optionally, the preset operation modes include a cooling mode, a heating mode, an air supply mode, and the like, and the ways of determining the recommended setting parameters in different preset operation modes are different. For example, a mathematical calculation formula or a data model corresponding to each preset operation mode is stored in advance in the air conditioner, environmental parameters of an acting space of the air conditioner can be input into the mathematical calculation formula or the data model, and an output value is a recommended setting parameter corresponding to the preset operation mode. It should be noted that, mathematical calculation formulas, data models, mapping tables, relationship curves, and the like corresponding to each preset operation mode may be obtained according to an early test and stored in the air conditioner in advance.
Alternatively, because the energy requirements of the air conditioner in the cooling mode and the heating mode are greatly different, the recommended setting parameter calculation modes corresponding to the cooling mode and the heating mode are different, for example, the cooling mode and the heating mode respectively correspond to completely different data models.
Optionally, the environmental parameters of the working space of the air conditioner include indoor temperature, indoor humidity, indoor photosensitive intensity, and the like, and outdoor temperature, outdoor humidity, outdoor photosensitive intensity, and the like.
Step S42, acquiring recommended set temperatures in recommended set parameters corresponding to each preset operation mode;
step S43, determining the target operation mode according to the recommended set temperature corresponding to each preset operation mode and the ambient temperature of the acting space of the air conditioner.
In this embodiment, the recommended setting parameters corresponding to the preset operation modes include a recommended setting temperature, a recommended setting humidity, a recommended setting wind speed, and the like, and since the main function of the air conditioner is heat exchange, the recommended setting temperature in the recommended setting parameters corresponding to each preset operation mode can be obtained, the ambient temperature of the working space of the air conditioner can be obtained, and the target operation mode is determined according to the recommended setting temperature and the ambient temperature corresponding to each preset operation mode.
Alternatively, the ambient temperature of the active space of the air conditioner may be an indoor temperature or an outdoor temperature.
Optionally, when determining the target operation mode according to the recommended set temperature and the ambient temperature corresponding to each preset operation mode, temperature differences between the recommended set temperature and the ambient temperature corresponding to each preset operation mode may be obtained, where the temperature differences may represent capability requirements of the air conditioner when the air conditioner is in the preset operation mode, and the capability requirements are greater when the temperature differences are greater, so that the target operation mode of the plurality of preset operation modes is determined according to the temperature differences. Alternatively, since the requirement is more likely to be caused by the inappropriateness of the operation mode of the air conditioner or the inappropriateness of the recommended set temperature corresponding to the operation mode of the air conditioner, the preset operation mode with smaller or smallest temperature difference can be used as the target operation mode, so that the inappropriateness of the operation mode of the air conditioner for opening can be avoided.
Optionally, the target operation parameters of the air conditioner to be started may be determined according to the recommended setting parameters corresponding to each preset operation mode of the air conditioner and the environmental parameters of the working space of the air conditioner, instead of determining the recommended setting temperature in the recommended setting parameters according to the environmental temperature in the environmental parameters, so that the determination of the target operation mode of the air conditioner to be started is more accurate.
In the technical scheme disclosed in the embodiment, recommended setting parameters corresponding to each preset operation mode of the air conditioner are obtained, recommended setting temperatures in the recommended setting parameters corresponding to each preset operation mode are obtained, a target operation mode is determined according to the recommended setting temperatures corresponding to each preset operation mode and the ambient temperature of the acting space of the air conditioner, and automatic judgment of the operation mode which needs to be started in the automatic control process of the air conditioner is achieved.
In yet another embodiment, as shown in fig. 5, on the basis of the embodiment shown in any one of fig. 2 to 4, step S10 includes:
step S11, a data model corresponding to the current operation mode is obtained;
in this embodiment, when the air conditioner is in different operation modes, the determination modes of the recommended setting parameters are different, where the determination modes of the recommended setting parameters include any one of a mathematical calculation formula, a data model, a mapping table, and a relationship curve in a coordinate system corresponding to the operation modes, and the mathematical calculation formula, the data model, the mapping table, and the relationship curve in the coordinate system corresponding to the different operation modes are also different, for example, the data model includes a neural network model, the different operation modes correspond to different neural network models, and the cooling mode and the heating mode respectively correspond to different neural network models, so when the recommended setting parameters corresponding to the current operation mode are obtained, the neural network model corresponding to the current operation mode is obtained.
Optionally, the mathematical calculation formula, the data model, the mapping table, the relation curve and the like corresponding to each preset operation mode can be obtained according to a preliminary test and stored in the air conditioner in advance. For example, before a data model corresponding to a current operation mode is obtained, when the air conditioner is in the current operation mode, a historical environment parameter of an action space of the air conditioner and a historical setting parameter corresponding to the historical environment parameter are obtained, the historical environment parameter and the historical setting parameter are adopted to train a preset data model to obtain the data model, the data model is stored and used as the data model corresponding to the current operation mode, wherein the historical environment parameter and the historical setting parameter collected at the same historical moment can be corresponding to one set of data and used as one set of data, after a plurality of sets of data are obtained, the preset data model is trained according to the plurality of sets of data, for example, when the preset data model is a neural network model, an initial preset data model is trained through the plurality of sets of data, and after training is completed, the neural network model corresponding to the current operation mode is obtained.
Step S12, acquiring environmental parameters of the acting space of the air conditioner at regular time;
and S13, acquiring the recommended setting parameters according to the environmental parameters and the data model.
In this embodiment, during the operation of the air conditioner, the environmental parameters of the active space of the air conditioner will change under the action of the air conditioner, so that the environmental parameters of the active space of the air conditioner are obtained at regular time, and the recommended setting parameters are obtained according to the environmental parameters and the data model, so as to achieve the purpose of obtaining the recommended setting parameters corresponding to the current operation mode at regular time. For example, when the data model is a neural network model, the environmental parameters are input into the neural network model, and recommended setting parameters output by the neural network model are obtained, and when the data model is a regression function, the environmental parameters are input into the regression function, and recommended setting parameters output by the regression function are obtained.
Optionally, the data model corresponding to the operation mode can be continuously corrected in the using process of the air conditioner, namely, the data model is self-learned, and the automatic control of the air conditioner is more in line with the habit of a user through the self-learning of the data model, so that the user requirement is accurately met. Specifically, after the correction value set by the user is obtained each time and the recommended setting parameters are corrected according to the correction value, the environmental parameters of the acting space of the air conditioner can be obtained, the data model corresponding to the current running mode is updated by adopting the environmental parameters and the corrected recommended setting parameters, so that the data model corresponding to the current running mode is updated, for example, when the data model is a neural network model, the neural network model is continuously trained by adopting the environmental parameters and the corrected recommended setting parameters so as to update the neural network model, the updated neural network model is saved, and therefore, the self-learning of the automatic control of the air conditioner is realized, and the automatic control function after self-learning is more intelligent.
In the technical scheme disclosed by the embodiment, the data model corresponding to the current operation mode is acquired, the environmental parameters of the acting space of the air conditioner are acquired at regular time, the recommended set parameters are acquired according to the environmental parameters and the data model, the automatic recommendation of the set parameters in the automatic control process of the air conditioner is realized, and the automatic control of the air conditioner is more intelligent.
In addition, an embodiment of the present invention further provides an air conditioner, where the air conditioner includes: the control method comprises the steps of the control method of the air conditioner, wherein the steps are realized when the control program of the air conditioner is executed by the processor.
Optionally, the air conditioner comprises at least four units: the device comprises a storage unit, a self-learning unit, a mode judging unit and a control unit.
And a storage unit: storing the operation behaviors and environmental states of a user, including on-off, setting modes, setting temperatures, setting wind speeds, indoor/outdoor temperatures, indoor/outdoor humidity, photosensitive intensity and the like;
self-learning unit: the self-learning unit at least comprises a training module and a recommending module, wherein the training module is used for: based on historical behaviors, training a self-learning model under a refrigerating and heating mode respectively; and a recommendation module: based on the current state, extracting behavior and environmental characteristics, and recommending current setting parameters through a self-learning model;
mode determination unit: judging a mode of operation required when the AI automatic control function is started;
and a control unit: if the user starts the AI automatic control function, the control mode judging unit judges the mode needing to operate, controls the self-learning unit to output recommended setting parameters, and controls the air conditioner to operate according to the recommended setting parameters.
Therefore, in one embodiment, the control flow of the air conditioner is as follows:
1. the user starts the AI automatic control function;
2. the mode judging unit is used for obtaining the mode (refrigeration, heating and air supply) required at the time and continuously operating according to the mode until the operation is finished;
3. executing the steps 4-6 every interval time T;
4. acquiring a recommended temperature Tr and a wind speed Wr according to an intelligent warm wind self-learning model in the mode;
5. acquiring a current temperature correction value Tc and an air speed correction value Wc which are input by a user;
6. calculating a set temperature Ts and an air speed Ws according to the recommended value and the corrected value, and controlling the operation of the air conditioner; where ts=tr+tc, ws=wr+wc;
7. the user shuts down or exits the function;
in addition, the embodiment of the invention also provides a computer storage medium, wherein the computer storage medium stores a control program of the air conditioner, and the control program of the air conditioner realizes the steps of the control method of the air conditioner in each embodiment when being executed by a processor.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The control method of the air conditioner is characterized by comprising the following steps of:
in the automatic control process of the air conditioner, regularly acquiring recommended setting parameters corresponding to the current running mode;
acquiring a correction value set by a user, and correcting the recommended setting parameter according to the correction value;
controlling the air conditioner to operate according to the corrected recommended setting parameters;
before the step of obtaining the correction value set by the user, the control method of the air conditioner further comprises the following steps:
when a correction instruction triggered by a user is received, storing a correction value corresponding to the correction instruction as a correction value set by the user;
the step of regularly acquiring the recommended setting parameters corresponding to the current running mode comprises the following steps:
acquiring environmental parameters of the acting space of the air conditioner at regular time;
and acquiring recommended setting parameters corresponding to the current running mode according to the environmental parameters.
2. The method for controlling an air conditioner as set forth in claim 1, wherein before the step of periodically acquiring the recommended setting parameters corresponding to the current operation mode, further comprising:
determining a target operation mode of the air conditioner;
and controlling the air conditioner to operate the target operation mode.
3. The control method of an air conditioner as set forth in claim 2, wherein the step of determining a target operation mode of the air conditioner includes:
acquiring recommended setting parameters corresponding to each preset operation mode of the air conditioner;
acquiring recommended set temperatures in recommended set parameters corresponding to each preset operation mode;
and determining the target operation mode according to the recommended set temperature corresponding to each preset operation mode and the ambient temperature of the acting space of the air conditioner.
4. The method of controlling an air conditioner as set forth in claim 3, wherein the step of determining the target operation mode according to the recommended set temperature corresponding to each preset operation mode and the ambient temperature of the active space of the air conditioner comprises:
acquiring a temperature difference between a recommended set temperature corresponding to each preset operation mode and the ambient temperature;
and determining the target operation mode in a plurality of preset operation modes according to the temperature difference.
5. The control method of an air conditioner as set forth in claim 2, wherein the step of determining a target operation mode of the air conditioner includes:
acquiring a position area of the air conditioner;
acquiring operation modes of other air conditioners except the air conditioner in the position area;
and determining a target operation mode of the air conditioner according to the operation modes of the other air conditioners.
6. The method of controlling an air conditioner as claimed in claim 1, wherein the step of periodically acquiring the recommended setting parameters corresponding to the current operation mode comprises:
acquiring a data model corresponding to the current operation mode;
acquiring environmental parameters of the acting space of the air conditioner at regular time;
and acquiring the recommended setting parameters according to the environmental parameters and the data model.
7. The method for controlling an air conditioner as claimed in claim 6, wherein before the step of acquiring the data model corresponding to the current operation mode, the method for controlling an air conditioner further comprises:
acquiring historical environment parameters of an acting space of the air conditioner and historical setting parameters corresponding to the historical environment parameters when the air conditioner is in the current running mode;
training a preset data model by adopting the historical environment parameters and the historical setting parameters to obtain the data model;
and storing the data model.
8. The method for controlling an air conditioner as claimed in claim 7, wherein the step of obtaining a correction value set by a user and correcting the recommended setting parameter according to the correction value further comprises, after the step of:
acquiring environmental parameters of an action space of the air conditioner;
and updating the data model by adopting the environment parameters and the corrected recommended setting parameters.
9. An air conditioner, characterized in that the air conditioner comprises: a memory, a processor, and a control program of an air conditioner stored on the memory and operable on the processor, which when executed by the processor, realizes the steps of the control method of an air conditioner according to any one of claims 1 to 8.
10. A computer storage medium, wherein a control program of an air conditioner is stored on the computer storage medium, and the control program of the air conditioner, when executed by a processor, implements the steps of the control method of an air conditioner according to any one of claims 1 to 8.
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| JP2021081797A JP2022085820A (en) | 2020-11-27 | 2021-05-13 | Air conditioner, its control method, and computer storage medium |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104949273A (en) * | 2015-06-17 | 2015-09-30 | 广东美的制冷设备有限公司 | Air conditioner control method, controller and air conditioner |
| CN109812927A (en) * | 2019-01-24 | 2019-05-28 | 新奥数能科技有限公司 | Family microgrid energy optimization method, device, readable medium and electronic equipment |
| CN109855253A (en) * | 2019-02-13 | 2019-06-07 | 青岛海尔空调电子有限公司 | Control method for air conditioner |
| CN110726217A (en) * | 2019-10-29 | 2020-01-24 | 珠海格力电器股份有限公司 | Control method and device of air conditioner |
| CN111397131A (en) * | 2020-03-30 | 2020-07-10 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104807134B (en) * | 2014-01-26 | 2017-06-30 | 广东美的制冷设备有限公司 | The self-defined control method of air conditioning operating mode and system |
| JP6739044B2 (en) * | 2016-09-21 | 2020-08-12 | パナソニックＩｐマネジメント株式会社 | Information providing system, information providing method, and control program |
| WO2019171627A1 (en) * | 2018-03-06 | 2019-09-12 | シャープ株式会社 | Air conditioner |
| JP6638026B2 (en) * | 2018-06-20 | 2020-01-29 | ソフトバンク株式会社 | Environment control device, environment setting method, and environment setting program |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104949273A (en) * | 2015-06-17 | 2015-09-30 | 广东美的制冷设备有限公司 | Air conditioner control method, controller and air conditioner |
| CN109812927A (en) * | 2019-01-24 | 2019-05-28 | 新奥数能科技有限公司 | Family microgrid energy optimization method, device, readable medium and electronic equipment |
| CN109855253A (en) * | 2019-02-13 | 2019-06-07 | 青岛海尔空调电子有限公司 | Control method for air conditioner |
| CN110726217A (en) * | 2019-10-29 | 2020-01-24 | 珠海格力电器股份有限公司 | Control method and device of air conditioner |
| CN111397131A (en) * | 2020-03-30 | 2020-07-10 | 广东美的制冷设备有限公司 | Air conditioning equipment, control method and device thereof and electronic equipment |
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