CN112432344B - 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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- CN112432344B CN112432344B CN202011367564.0A CN202011367564A CN112432344B CN 112432344 B CN112432344 B CN 112432344B CN 202011367564 A CN202011367564 A CN 202011367564A CN 112432344 B CN112432344 B CN 112432344B
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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
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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
- F24F2110/12—Temperature of the outside air
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- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a control method of an air conditioner, which comprises the following steps: the method comprises the steps of obtaining environmental parameters of an acting space where the air conditioner is located and/or setting parameters of the air conditioner at regular time; acquiring a target operation mode according to the environmental parameters and/or the set parameters; switching the air conditioner to the target operation mode; acquiring a recommended setting parameter in the target operation mode; and controlling the air conditioner to operate according to the recommended set parameters. The invention also discloses an air conditioner and a computer storage medium. According to the invention, the environmental parameters and/or the setting parameters are obtained at regular time, the mode in which the air conditioner needs to operate is determined at regular time, and the air conditioner is switched to the mode, so that the purpose of automatically switching the operation mode in the process that the air conditioner automatically adjusts through recommending the setting parameters is realized, and the switching of the operation mode of the air conditioner is more convenient.
Description
Technical Field
The invention relates to the technical field of air conditioners, 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 usually configured to automatically adjust according to a preset rule, for example, to adjust the set temperature of the air conditioner to a temperature corresponding to the user's historical behavior by counting according to the user's historical behavior.
In the process of automatic adjustment of the air conditioner, the air conditioner is always in a fixed operation mode, for example, after the air conditioner is started, the air conditioner is always in a cooling mode or a heating mode, so that when the heat exchange requirement of an indoor user changes and the operation mode of the air conditioner needs to be switched, the automatic adjustment function of the air conditioner can only be manually turned off by the user, and the operation mode of the air conditioner is manually switched, therefore, the operation mode switching of the air conditioner is very inconvenient at present.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an air conditioner, a control method thereof and a computer storage medium, aiming at determining a target operation mode at fixed time so that the operation mode of the air conditioner can be automatically switched.
In order to achieve the above object, the present invention provides a method for controlling an air conditioner, comprising the steps of:
the method comprises the steps of obtaining environmental parameters of an acting space where the air conditioner is located and/or setting parameters of the air conditioner at regular time;
acquiring a target operation mode according to the environmental parameters and/or the set parameters;
switching the air conditioner to the target operation mode;
acquiring a recommended setting parameter in the target operation mode;
and controlling the air conditioner to operate according to the recommended set parameters.
Optionally, the step of controlling the air conditioner to operate according to the recommended setting parameter includes:
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 set parameters.
Optionally, the step of obtaining the target operation mode according to the setting parameter includes:
acquiring data models corresponding to all preset operation modes of the air conditioner;
acquiring recommended setting parameters corresponding to the data models according to the setting parameters and the data models;
and determining the target operation mode in a plurality of preset operation modes according to the recommended set parameters corresponding to the data model.
Optionally, the step of determining the target operation mode of the multiple preset operation modes according to the recommended setting parameters corresponding to the data model includes:
acquiring the ambient temperature of an action space where the air conditioner is located;
acquiring a temperature difference between the recommended set temperature in the recommended set parameters corresponding to each data model and the environment temperature;
and determining the target operation mode in a plurality of preset operation modes according to the temperature difference.
Optionally, the step of obtaining the target operation mode according to the environmental parameter includes:
acquiring a parameter range where the environmental parameter is located;
and acquiring a target operation mode associated with the parameter range.
Optionally, the step of obtaining the recommended setting parameter in the target operation mode includes:
acquiring a data model corresponding to the target operation mode;
acquiring environmental parameters of an acting space where the air conditioner is located;
and acquiring the recommended setting parameters according to the environment parameters and the data model.
Optionally, before the step of obtaining the data model corresponding to the target operation mode, the method for controlling the air conditioner further includes:
acquiring historical environment parameters of an acting space where the air conditioner is positioned and historical setting parameters corresponding to the historical environment parameters when the air conditioner is in the target operation mode;
acquiring a preset data model;
training the preset data model by adopting the historical environment parameters and the historical setting parameters to obtain the data model;
and saving the data model.
Optionally, after the step of obtaining the recommended setting parameter in the target operation mode, the method further includes:
when a correction instruction triggered by a user is received, correcting the recommended setting parameter according to a correction value corresponding to the correction instruction;
and updating the data model by adopting the corrected recommended set parameters and the environmental parameters of the acting space where the air conditioner is located.
Further, 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 the air conditioner, wherein the control program of the air conditioner is stored on the memory and can run on the processor, and when the control program of the air conditioner is executed by the processor, the control method of the air conditioner realizes the steps of the control method of the air conditioner.
Further, to achieve the above object, the present invention also provides a computer storage medium having stored thereon a control program of an air conditioner, the control program of the air conditioner realizing the steps of the control method of the air conditioner as set forth in any one of the above when executed by a processor.
The air conditioner and the control method and the computer storage medium thereof provided by the embodiment of the invention periodically acquire the environmental parameters of the acting space where the air conditioner is located and/or the setting parameters of the air conditioner, acquire the target operation mode according to the environmental parameters and/or the setting parameters, switch the air conditioner to the target operation mode, acquire the recommended setting parameters in the target operation mode, and control the air conditioner to operate according to the recommended setting parameters. According to the invention, the environmental parameters and/or the setting parameters are obtained at regular time, the mode in which the air conditioner needs to operate is determined at regular time, and the air conditioner is switched to the mode, so that the purpose of automatically switching the operation mode in the process that the air conditioner automatically adjusts through recommending the setting parameters is realized, and the switching of the operation mode of the air conditioner is more convenient.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a control method of an air conditioner according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a control method of an air conditioner according to another embodiment of the present invention;
FIG. 4 is a flow chart illustrating a control method of an air conditioner according to still another embodiment of the present invention;
fig. 5 is a flowchart illustrating a control method of an air conditioner according to another embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention provides a solution, which is characterized in that the mode of the air conditioner needing to be operated is determined at regular time by acquiring the environmental parameters and/or the setting parameters at regular time, and the air conditioner is switched to the mode, so that the aim of automatically switching the operation mode in the process of automatically adjusting the air conditioner through the recommended setting parameters is fulfilled, and the operation mode of the air conditioner is more convenient to switch.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating 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 a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also 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 non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, 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 backend server and performing data communication with the backend 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:
the method comprises the steps of obtaining environmental parameters of an acting space where the air conditioner is located and/or setting parameters of the air conditioner at regular time;
acquiring a target operation mode according to the environmental parameters and/or the set parameters;
switching the air conditioner to the target operation mode;
acquiring a recommended setting parameter in the target operation mode;
and controlling the air conditioner to operate according to the recommended set parameters.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and also perform the following operations:
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 set parameters.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and also perform the following operations:
acquiring data models corresponding to all preset operation modes of the air conditioner;
acquiring recommended setting parameters corresponding to the data models according to the setting parameters and the data models;
and determining the target operation mode in a plurality of preset operation modes according to the recommended set parameters corresponding to the data model.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and also perform the following operations:
acquiring the ambient temperature of an action space where the air conditioner is located;
acquiring a temperature difference between the recommended set temperature in the recommended set parameters corresponding to each data model and the environment 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 also perform the following operations:
acquiring a parameter range where the environmental parameter is located;
and acquiring a target operation mode associated with the parameter range.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and also perform the following operations:
acquiring a data model corresponding to the target operation mode;
acquiring environmental parameters of an acting space where the air conditioner is located;
and acquiring the recommended setting parameters according to the environment parameters and the data model.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and also perform the following operations:
acquiring historical environment parameters of an acting space where the air conditioner is positioned and historical setting parameters corresponding to the historical environment parameters when the air conditioner is in the target operation mode;
acquiring a preset data model;
training the preset data model by adopting the historical environment parameters and the historical setting parameters to obtain the data model;
and saving the data model.
Further, the processor 1001 may call a control program of the air conditioner stored in the memory 1005, and also perform the following operations:
when a correction instruction triggered by a user is received, correcting the recommended setting parameter according to a correction value corresponding to the correction instruction;
and updating the data model by adopting the corrected recommended set parameters and the environmental parameters of the acting space where the air conditioner is located.
Referring to fig. 2, in an embodiment, the method for controlling the air conditioner includes the steps of:
step S10, regularly acquiring the environmental parameters of the acting space where the air conditioner is located and/or the setting parameters of the air conditioner;
step S20, obtaining a target operation mode according to the environmental parameters and/or the setting parameters;
step S30, switching the air conditioner to the target operation mode;
in this embodiment, the terminal of the embodiment is an air conditioner. The air conditioner has an AI control function, after the AI control function is started, the air conditioner can automatically and regularly acquire the environmental parameters of the acting space where the air conditioner is located and/or the setting parameters of the air conditioner so as to automatically judge the target operation mode of the air conditioner which needs to be operated according to the environmental parameters and/or the setting parameters and automatically switch to the target operation mode, the operation mode of the air conditioner does not need to be manually adjusted by a user, and for example, the operation mode of the air conditioner does not need to be switched to a cooling mode or a heating mode by the user.
Optionally, the air conditioner includes a plurality of preset operation modes, for example, the preset operation mode includes at least one of a cooling mode, a heating mode and an air supply mode, and when the target operation mode is obtained according to the environmental parameter and/or the setting parameter, the at least one of the plurality of preset operation modes is taken as the target operation mode.
Optionally, the setting parameters of the air conditioner include a set temperature, a set humidity, a set wind speed, and the like, and the environmental parameters of the space where the air conditioner is located include an indoor temperature, an outdoor humidity, an indoor and outdoor photosensitive intensity, and the like.
Alternatively, when the target operation mode is obtained according to the environmental parameter and/or the setting parameter, the target operation mode may be determined in different manners, for example, a currently required target operation mode may be determined according to a specific rule based on the current environmental parameter, where the environmental parameter may include at least one of an indoor temperature, an outdoor temperature, and a set temperature, and for example, the currently required target operation mode may be determined based on the setting parameter.
Optionally, when the currently required target operation mode is determined according to a specific rule based on the current environmental parameter, a parameter range where the environmental parameter is located may be obtained, and a target operation mode associated with the parameter range is obtained, for example, when the indoor environmental temperature is 31 ℃, the parameter range where the indoor environmental temperature is located is [30, 40], the target operation mode associated with the parameter range is a cooling mode, when the indoor environmental temperature is 27 ℃, the parameter range where the indoor environmental temperature is located is [25, 28], the target operation mode associated with the parameter range is an air supply mode, and for example, when the outdoor environmental temperature is 10 ℃, the parameter range where the outdoor environmental temperature is located is [5, 15], the target operation mode associated with the parameter range is a heating mode, and an application scenario is exemplified as follows: in autumn, the temperature difference between day and night is large, the outdoor environment temperature at noon is 30 ℃, the target operation mode is the cooling mode, therefore, the air conditioner is automatically switched to the cooling mode, and in evening, the outdoor environment temperature is 8 ℃, the target operation mode is the heating mode, therefore, the air conditioner is automatically switched to the heating mode, and the operation mode does not need to be manually switched by a user.
Alternatively, when the target operation mode is obtained based on the setting parameter, since the air conditioner periodically executes the step of obtaining the setting parameter of the air conditioner, the setting parameter obtained at the timing may be a recommended setting parameter corrected according to a correction value set by the user in the embodiment shown in fig. 3, and an example of an application scenario is as follows: when a temporary demand exists in a user, the recommended setting parameters of the automatic control of the air conditioner are corrected through the correction instruction, so that the setting parameters of the air conditioner are changed, the setting temperature is higher or lower, when the setting temperature is higher, the fact that the user wants to start the heating mode is indicated, when the setting temperature is lower, the fact that the user wants to start the cooling mode is indicated, therefore, when the setting temperature obtained at regular time is higher than a first preset temperature, the target operation mode can be judged to be the heating mode, when the setting temperature obtained at regular time is lower than a second preset temperature, the target operation mode can be judged to be the cooling mode, and namely the correction value set by the user can influence the judgment of the target operation mode.
Step S40, acquiring the recommended setting parameters in the target operation mode;
in this embodiment, after the AI control function is turned on, the air conditioner may automatically acquire the recommended setting parameters in the target operation mode at regular time, so as to automatically control the air conditioner according to the recommended setting parameters without manually setting the setting parameters by a user, for example, without manually setting the set temperature and the set humidity of the air conditioner by the user.
Optionally, the recommended setting temperatures in different operation modes are different, for example, different operation modes are provided with different obtaining manners of the recommended setting parameters, so that the operation modes and the recommended setting parameters are corresponding through different obtaining manners of the recommended setting parameters.
Optionally, the recommended setting parameter includes 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 parameter in the air supply mode does not include the recommended set temperature.
And step S50, controlling the air conditioner to operate according to the recommended setting parameters.
In this embodiment, when the air conditioner is controlled to operate according to the recommended setting parameters, the setting parameters of the air conditioner can be directly adjusted to the recommended setting parameters, so that the air conditioner is automatically controlled, and the automatic control function of the air conditioner is more intelligent.
In the technical scheme disclosed in this embodiment, the environmental parameters and/or the setting parameters are obtained at regular time to determine the mode in which the air conditioner needs to operate at regular time, and the air conditioner is switched to the mode, so that the purpose of automatically switching the operation mode in the process of automatically adjusting the air conditioner through the recommended setting parameters is achieved, and the switching of the operation mode of the air conditioner is more convenient.
In another embodiment, as shown in fig. 3, on the basis of the embodiment shown in fig. 2, the step S50 includes:
step S51, obtaining a correction value set by a user, and correcting the recommended setting parameter according to the correction value;
in this embodiment, a user has a specific requirement under certain circumstances, for example, after the user has just moved home, the refrigeration requirement of the user is increased, and therefore the refrigeration capability of the air conditioner needs to be correspondingly increased, and for example, when the user has arrived more guests at home, the refrigeration requirement of the user is also increased, and therefore the refrigeration capability of the air conditioner needs to be correspondingly increased, and for example, when the air conditioner is installed in a rental house, tenants of the rental house may be newly moved, and the refrigeration and heating requirements of different tenants are also different, and therefore, the tenants also need to adjust the heat exchange capability of the air conditioner according to their actual conditions. In the embodiment, the AI control function of the air conditioner can also provide the correction requirement of the user, namely when the air conditioner is controlled to operate according to the recommended set parameters, the air conditioner can obtain the correction value set by the user, and corrects the recommended set parameters according to the correction value, thereby realizing the correction of the set parameters in the automatic control process of the air conditioner.
Optionally, when the air conditioner is running, the user may trigger the correction instruction at any time by means of 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, so that the air conditioner can subsequently obtain the correction value set by the user. And because the judgment of the target operation mode to which the air conditioner needs to be switched and the subsequent steps are executed at fixed time, in the subsequent step that the air conditioner operates according to the recommended setting parameters in the target operation mode, the recommended setting parameters can be corrected according to the stored correction value, and the air conditioner is controlled to operate according to the corrected recommended setting parameters so as to meet the requirements of users.
Alternatively, the change of the user's requirement may be temporary, so the air conditioner may clear the saved correction value when performing the shutdown action, so as to avoid continuing to correct the recommended setting parameter after the air conditioner is turned on next time.
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 respective set parameters of the air conditioner through the correction action.
And step S52, controlling the air conditioner to operate according to the corrected recommended setting parameters.
In this embodiment, after the recommended setting parameter automatically recommended by the air conditioner is corrected according to the correction value set by the user, the air conditioner is controlled to operate according to the corrected recommended setting parameter, that is, the setting parameter of the air conditioner is adjusted to the corrected recommended setting parameter, so that the heat exchange capacity of the air conditioner meets the user requirement, an 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 this embodiment, the recommended setting parameter is corrected according to the correction value set by the user, and the air conditioner is controlled according to the corrected recommended setting parameter, so that the automatic control of the air conditioner can be adjusted according to the user requirement, and the automatic control of the air conditioner is more convenient.
In another embodiment, as shown in fig. 4, based on the embodiment shown in any one of fig. 2 to fig. 3, the obtaining of the target operation mode according to the setting parameter in step S20 includes:
step S21, acquiring data models corresponding to each preset operation mode of the air conditioner;
step S22, acquiring recommended setting parameters corresponding to each data model according to the setting parameters and each data model;
in this embodiment, when determining the currently required target operation mode based on the setting parameters, the recommended setting parameters in each preset operation mode may be obtained, so as to determine the currently required target operation mode according to the recommended setting parameters. Specifically, data models corresponding to each preset operation mode of the air conditioner are obtained, and recommended setting parameters corresponding to each data model are obtained according to the setting parameters and each data model, so that the recommended setting parameters in each preset operation mode are obtained.
Optionally, when the recommended setting parameters corresponding to each data model are obtained according to the setting parameters and each data model, the setting parameters may be input into each data model, and the recommended setting parameters output by each data model may be obtained, where the data model may be a neural network model. Alternatively, the data model may be replaced by a mathematical calculation formula, a mapping table, a relation curve in a coordinate system, or the like, as an alternative. It should be noted that the data model, the mathematical calculation formula, the mapping table, the relationship curve, and the like corresponding to each preset operation mode may be obtained according to a previous test and stored in the air conditioner in advance.
Optionally, the preset operation modes include a cooling mode, a heating mode, an air supply mode, and the like, and the data models adopted when the recommended setting parameters are determined in different preset operation modes are different. Because the air conditioner has a large difference between the energy requirements in the cooling mode and the heating mode, the calculation modes of the recommended setting parameters in the cooling mode are different from those in the heating mode, for example, the cooling mode and the heating mode correspond to completely different data models respectively.
Step S23, determining the target operation mode of a plurality of preset operation modes according to the recommended setting parameters corresponding to the data model.
In this embodiment, after the recommended setting parameters corresponding to each data model are obtained, a target operation mode of the multiple preset operation modes is determined according to the recommended setting parameters corresponding to the data model. Specifically, the ambient temperature of the acting space where the air conditioner is located can be obtained, the recommended set temperature in the recommended set parameters corresponding to each data model is obtained, the temperature difference between each recommended set temperature and the ambient temperature is calculated, the temperature difference can represent the capacity requirement of the air conditioner when the air conditioner is in the preset operation mode, and the capacity requirement is larger when the temperature difference is larger, so that the target operation mode in the preset operation modes is determined according to the temperature difference. Alternatively, since the high energy requirement may be caused by an inappropriate air conditioner operation mode or an inaccurate recommended set temperature in the air conditioner operation mode, the preset operation mode with a small or minimum temperature difference may be used as the target operation mode to avoid an inappropriate operation mode to which the air conditioner is switched.
Alternatively, the ambient temperature of the space in which the air conditioner is located may be an indoor temperature or an outdoor temperature.
Optionally, when the target operation mode in the multiple preset operation modes is determined according to the recommended setting parameter corresponding to the data model, the target operation parameter to which the air conditioner needs to be switched may also be determined according to the recommended setting parameter in each preset operation mode of the air conditioner and the environmental parameter of the operating space where the air conditioner is located, instead of only determining the target operation mode to which the air conditioner needs to be switched by the environmental temperature in the environmental parameter through the recommended setting temperature in the recommended setting parameter, so that the determination of the target operation mode to which the air conditioner needs to be switched is more accurate.
In the technical scheme disclosed in this embodiment, the data models corresponding to the preset operation modes of the air conditioner are obtained, the recommended setting parameters corresponding to the data models are obtained according to the setting parameters and the data models, and the target operation mode in the preset operation modes is determined according to the recommended setting parameters corresponding to the data models, so that the automatic switching of the operation modes of the air conditioner is realized, and the automatic control of the air conditioner is more intelligent.
In another embodiment, as shown in fig. 5, on the basis of the embodiment shown in any one of fig. 2 to 4, step S40 includes:
step S41, acquiring a data model corresponding to the target operation mode;
in this embodiment, when the air conditioner is in different operation modes, determination manners of the recommended setting parameters are also different, where the determination manners 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 correspond to different neural network models, so that when the recommended setting parameters in the target operation mode are obtained, the neural network model corresponding to the target operation mode can be obtained.
Optionally, the mathematical calculation formula, the data model, the mapping table, the relationship curve, and the like corresponding to each preset operation mode may be obtained according to a previous test and stored in the air conditioner in advance. For example, before the data model corresponding to the target operation mode is obtained, when the air conditioner is obtained to be in the target operation mode, historical environment parameters of an acting space where the air conditioner is positioned and historical setting parameters corresponding to the historical environment parameters are adopted to train a preset data model, to obtain a data model, and storing the data model as a data model corresponding to the target operation mode, wherein, the historical environmental parameters and the historical setting parameters collected at the same historical moment can be corresponded and used as a group of data, after the plurality of sets of data are obtained, the predetermined data model is trained based on the plurality of sets of data, for example, when the predetermined data model is a neural network model, training an initial preset data model through multiple groups of data, and obtaining a neural network model corresponding to a target operation mode after training is completed.
Step S42, obtaining the environmental parameters of the acting space where the air conditioner is located;
and step S43, obtaining the recommended setting parameters according to the environment parameters and the data model.
In this embodiment, in the operation process of the air conditioner, the environmental parameters of the operating space where the air conditioner is located may change under the action of the air conditioner, so the environmental parameters of the operating space where the air conditioner is located are obtained at regular time, and the recommended setting parameters are obtained according to the environmental parameters and the data model, thereby achieving the purpose of obtaining the recommended setting parameters in the target operation mode at regular time. For example, when the data model is a neural network model, the environment parameters are input to the neural network model and the recommended setting parameters output by the neural network model are obtained, and for example, when the data model is a regression function, the environment parameters are input to the regression function and the 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 learned by self, so that the automatic control of the air conditioner better conforms to the habit of the user and the user requirement is met accurately through the self-learning of the data model. Specifically, when a correction instruction triggered by a user is received, the recommended setting parameters are corrected according to the correction values corresponding to the correction values, the environmental parameters of the acting space where the air conditioner is located are obtained, the data model corresponding to the target operation mode is updated by the environmental parameters and the corrected recommended setting parameters, and the data model corresponding to the target operation mode is updated.
In the technical scheme disclosed in this embodiment, the data model corresponding to the target operation mode is obtained, the environmental parameters of the acting space where the air conditioner is located are obtained, and the recommended setting parameters are obtained according to the environmental parameters and the data model, so that the automatic recommendation of the setting 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, including: the control method comprises the steps of realizing the control method of the air conditioner according to the various embodiments 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.
A storage unit: storing the operation behavior and the environmental state of a user, including startup and shutdown, setting mode, setting temperature, setting wind speed, indoor/outdoor temperature, indoor/outdoor humidity, photosensitive intensity and the like;
a self-learning unit: the self-learning unit at least comprises a training module and a recommending module, wherein the training module: training self-learning models in a refrigerating mode and a heating mode respectively based on historical behaviors; a recommendation module: extracting behavior and environmental characteristics based on the current state, and recommending current setting parameters through a self-learning model;
a mode determination unit: judging a mode required to operate when the AI automatic control function is started;
a control unit: and if the user starts the AI automatic control function, controlling the mode judging unit to judge the mode needing to be operated, controlling the self-learning unit to output the recommended setting parameters, and controlling 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 an AI automatic control function;
2. executing the step 3-6 at intervals of T;
3. according to the mode judging unit, acquiring the required modes (refrigeration, heating and air supply) at this time, and operating the modes, namely judging the modes again at intervals of T;
4. acquiring a recommended temperature Tr and a wind speed Wr according to the intelligent warm wind self-learning model in the mode;
5. acquiring a current temperature correction value Tc and a wind speed correction value Wc input by a user;
6. calculating a set temperature Ts and a wind speed Ws according to the recommended value and the corrected value, and controlling the operation of the air conditioner; wherein Ts is Tr + Tc, Ws is Wr + Wc;
7. the user shuts down or quits the function;
furthermore, an embodiment of the present invention further provides a computer storage medium, where 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 the air conditioner according to the above embodiments.
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 an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. A control method of an air conditioner is characterized by comprising the following steps:
the method comprises the steps of obtaining environmental parameters of an acting space where an air conditioner is located and setting parameters of the air conditioner at fixed time;
acquiring a target operation mode according to the environmental parameters and the set parameters;
switching the air conditioner to the target operation mode;
acquiring a recommended setting parameter in the target operation mode;
controlling the air conditioner to operate according to the recommended set parameters;
wherein the step of obtaining a target operation mode according to the environmental parameter and the setting parameter comprises:
acquiring data models corresponding to all preset operation modes of the air conditioner;
acquiring recommended setting parameters corresponding to the data models according to the setting parameters and the data models;
determining the target operation mode in a plurality of preset operation modes according to the recommended set parameters corresponding to the data model;
wherein the step of determining the target operation mode of the plurality of preset operation modes according to the recommended setting parameters corresponding to the data model comprises:
acquiring the ambient temperature of an action space where the air conditioner is located;
acquiring a temperature difference between the recommended set temperature in the recommended set parameters corresponding to each data model and the environment temperature;
and determining the target operation mode in a plurality of preset operation modes according to the temperature difference.
2. The method of claim 1, wherein the step of controlling the air conditioner to operate according to the recommended setting parameter comprises:
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 set parameters.
3. The control method of an air conditioner according to claim 1, wherein the step of obtaining the target operation mode according to the environment parameter comprises:
acquiring a parameter range where the environmental parameter is located;
and acquiring a target operation mode associated with the parameter range.
4. The method of claim 1, wherein the step of obtaining the recommended setting parameter in the target operation mode comprises:
acquiring a data model corresponding to the target operation mode;
acquiring environmental parameters of an acting space where the air conditioner is located;
and acquiring the recommended setting parameters according to the environment parameters and the data model.
5. The method of controlling an air conditioner according to claim 4, wherein before the step of obtaining the data model corresponding to the target operation mode, the method of controlling an air conditioner further comprises:
acquiring historical environment parameters of an acting space where the air conditioner is positioned and historical setting parameters corresponding to the historical environment parameters when the air conditioner is in the target operation mode;
acquiring a preset data model;
training the preset data model by adopting the historical environment parameters and the historical setting parameters to obtain the data model;
and saving the data model.
6. The method of claim 5, wherein the step of obtaining the recommended setting parameter in the target operation mode is followed by further comprising:
when a correction instruction triggered by a user is received, correcting the recommended setting parameter according to a correction value corresponding to the correction instruction;
and updating the data model by adopting the corrected recommended set parameters and the environmental parameters of the acting space where the air conditioner is located.
7. 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 executable on the processor, the control program of the air conditioner implementing the steps of the control method of the air conditioner according to any one of claims 1 to 6 when executed by the processor.
8. A computer storage medium characterized in that a control program of an air conditioner is stored thereon, the control program of the air conditioner realizing the steps of the control method of the air conditioner according to any one of claims 1 to 6 when executed by a processor.
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| CN116481149B (en) * | 2023-06-20 | 2023-09-01 | 深圳市微筑科技有限公司 | Method and system for configuring indoor environment parameters |
| CN116817424B (en) * | 2023-07-03 | 2023-12-01 | 广州旭杰电子有限公司 | Air conditioner energy-saving control system and method based on artificial intelligence |
| CN116697497B (en) * | 2023-08-01 | 2023-10-31 | 同方节能工程技术有限公司 | Method, device, equipment and storage medium for controlling ventilation air conditioning system |
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