CN111442498B - Air conditioning equipment, control method and device thereof and electronic equipment - Google Patents

Air conditioning equipment, control method and device thereof and electronic equipment Download PDF

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Publication number
CN111442498B
CN111442498B CN202010238927.4A CN202010238927A CN111442498B CN 111442498 B CN111442498 B CN 111442498B CN 202010238927 A CN202010238927 A CN 202010238927A CN 111442498 B CN111442498 B CN 111442498B
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value
air conditioning
user
monitoring parameters
dimensional
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CN111442498A (en
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樊其锋
刘景春
翟浩良
吕闯
庞敏
简翱
彭水凤
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Midea Group Co Ltd
GD Midea Air Conditioning Equipment Co Ltd
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Midea Group Co Ltd
GD Midea Air Conditioning Equipment Co Ltd
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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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52—Indication arrangements, e.g. displays
    • 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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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The application provides an air conditioning device, a control method and a control device thereof, and an electronic device, wherein the method comprises the following steps: detecting a first instruction for selecting a multi-dimensional adjusting mode from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode; acquiring and displaying a recommended value of each dimension of the multi-dimension monitoring parameters on the visual interface; detecting the setting operation aiming at the multidimensional monitoring parameters on the visual interface, and acquiring the setting values of the multidimensional monitoring parameters according to the detected setting operation; identifying and displaying the type of the user on the visual interface according to the recommended value and the set value; and updating a self-learning model according to the set value and the type, wherein the self-learning model is used for obtaining the recommended value, a plurality of monitoring parameters can be adjusted at the same time, and the adjusting processes of the monitoring parameters are independent, so that the flexibility of the air conditioning equipment is improved.

Description

Air conditioning equipment, control method and device thereof and electronic equipment
Technical Field
The present application relates to the field of electrical appliance technologies, and in particular, to a method and an apparatus for controlling an air conditioning device, an electronic device, and a computer-readable storage medium.
Background
At present, air conditioning equipment is widely applied to adjusting parameters such as indoor temperature and humidity, and the comfort level of a user is improved. However, the air conditioning function of the existing air conditioning equipment is single, and the existing air conditioning equipment is not flexible enough and cannot meet the user requirements.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
To this end, a first object of the present application is to propose a control method of an air conditioning apparatus.
A second object of the present application is to propose a control device of an air conditioning apparatus.
A third object of the present application is to propose an air conditioning apparatus.
A fourth object of the present application is to provide an electronic device.
A fifth object of the present application is to propose a computer-readable storage medium.
To achieve the above object, an embodiment of a first aspect of the present invention provides a control method for an air conditioning apparatus, including: detecting a first instruction for selecting a multi-dimensional adjusting mode from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode; acquiring and displaying a recommended value of each monitoring parameter in the multi-dimensional monitoring parameters on the visual interface; detecting the setting operation aiming at the multi-dimensional monitoring parameters on the visual interface, and acquiring the setting values of the multi-dimensional monitoring parameters according to the detected setting operation; identifying and displaying the type of the user on the visual interface according to the recommended value and the set value; and updating a self-learning model according to the set value and the type, wherein the self-learning model is used for acquiring the recommended value.
According to an embodiment of the present invention, the identifying and presenting the type of the user on the visual interface according to the recommended value and the setting value includes: determining that the user is a first type of user when the difference value between the recommended value and the set value is smaller than or equal to a preset threshold value; and determining that the user is a second type of user if the difference between the recommended value and the set value is greater than the preset threshold value.
According to an embodiment of the present invention, when the user is a first type of user, the updating the self-learning model according to the setting value and the type includes: extracting working condition characteristics related to the set value; and updating the self-learning model according to the working condition characteristic data.
According to an embodiment of the present invention, after the updating the self-learning model according to the operating condition characteristic data, the method further includes: clustering analysis is carried out on the working condition characteristics in the historical use data of the first class of users, and working condition characteristic data are obtained; and training the updated self-learning model by using the working condition characteristic data.
According to one embodiment of the invention, an active adjusting instruction of a user for one-dimensional monitoring parameters in the multi-dimensional monitoring parameters is detected, and according to the active adjusting instruction, an adjusting function of an adjusting component corresponding to the one-dimensional monitoring parameters is controlled to be in a locking state.
According to one embodiment of the invention, a closing instruction of a user for one of the multi-dimensional monitoring parameters is detected, and according to the closing instruction, the adjusting component corresponding to the one-dimensional monitoring parameter is controlled to be in a closing state.
According to an embodiment of the present invention, before detecting the first instruction for selecting the multi-dimensional adjustment mode from the visual interface of the air conditioning equipment, the method further includes: and acquiring a selection instruction for selecting at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters, and generating the first instruction according to the selection instruction.
According to an embodiment of the present invention, after the obtaining the setting value of the multidimensional monitoring parameter, the method further includes: and adjusting the adjusting component corresponding to any one-dimensional monitoring parameter according to the set value and the monitoring value of any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
According to an embodiment of the present invention, the adjusting an adjusting component corresponding to any one-dimensional monitoring parameter according to the setting value and the monitoring value of any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters includes: determining at least one adjusting component corresponding to the arbitrary one-dimensional monitoring parameter; and generating an adjusting instruction aiming at the adjusting component according to the set value and the monitoring value of any one-dimensional monitoring parameter, and adjusting the adjusting component according to the adjusting instruction.
According to an embodiment of the present invention, before generating the adjustment instruction for the adjustment component according to the set value and the monitored value of the arbitrary one-dimensional monitoring parameter, the method further includes: and acquiring a difference value between the monitoring value and the set value, and determining that the difference value is not in a preset allowable range.
According to one embodiment of the invention, identifying the adjustment assemblies to which the monitored parameters correspond in two or more dimensions comprises the same adjustment assembly; and if the two-dimensional or more-dimensional monitoring parameters need to be adjusted, determining the priority of each-dimensional monitoring parameter in the two-dimensional or more-dimensional monitoring parameters, and adjusting the same adjusting component according to the recommended value and the monitoring value of the monitoring parameter with the highest priority.
According to one embodiment of the invention, the multidimensional monitoring parameters comprise: two or more of humidity, temperature, wind speed, pollutant content in air and air quality index.
According to one embodiment of the invention, the conditioning assembly is integrated with or independent of the air conditioning device.
The control method of the air conditioning equipment can adjust a plurality of monitoring parameters simultaneously, and the adjusting processes of the monitoring parameters are mutually independent, so that the flexibility of the air conditioning equipment is improved. Furthermore, the user type can be identified according to the condition of the user setting value, and the self-learning model is further updated according to the user type, so that the recommended value of the self-learning model is more in line with the preference of the user.
In order to achieve the above object, a second aspect of the present invention provides a control device for an air conditioning apparatus, including: the mode starting module is used for detecting a first instruction for selecting the multi-dimensional adjusting mode from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode; the first acquisition module is used for acquiring and displaying the recommended value of each dimension of the multi-dimension monitoring parameters on the visual interface; the second acquisition module is used for detecting the setting operation of the multidimensional monitoring parameters on the visual interface and acquiring the setting values of the multidimensional monitoring parameters according to the detected setting operation; the identification module is used for identifying and displaying the type of the user on the visual interface according to the recommended value and the set value; and the updating module is used for updating a self-learning model according to the set value and the type, wherein the self-learning model is used for acquiring the recommended value.
In order to achieve the above object, a third aspect of the present invention provides an air conditioning apparatus including the control device of the air conditioning apparatus.
In order to achieve the above object, a fourth aspect of the present invention provides an electronic device, including a memory, a processor; wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for implementing the control method of the air conditioning apparatus.
In order to achieve the above object, a fifth aspect of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the control method of an air conditioning apparatus.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application;
fig. 2 is a flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application;
fig. 3 is a flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application;
FIG. 4 is a block schematic diagram of a control device of an air conditioning unit according to an embodiment of the present application;
FIG. 5 is a block schematic diagram of an air conditioning unit according to an embodiment of the present application; and
FIG. 6 is a block diagram of an electronic device according to one embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present invention and should not be construed as limiting the present invention.
A control method and apparatus of an air conditioning device, an electronic device, and a computer-readable storage medium according to embodiments of the present application are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a control method of an air conditioning apparatus according to an embodiment of the present application.
As shown in fig. 1, a control method of an air conditioning apparatus according to an embodiment of the present application includes the steps of:
s101, a first instruction for selecting the multi-dimensional adjusting mode is detected from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode.
It should be noted that the air conditioning apparatus related to the present application has a visual interface for data interaction with a user, such as presenting information to the user to obtain selection information of the user.
It should also be noted that in the embodiments of the present application, the air conditioning apparatus has a multidimensional adjustment mode, and two or more monitored parameters can be adjusted.
The monitoring parameters can be calibrated according to actual conditions and are preset in a storage space of the air conditioning equipment. For example, the monitoring parameters may include two or more of humidity, temperature, wind speed, pollutant content in Air, air Quality Index (AQI), and carbon dioxide concentration. Wherein the pollutant content in the air may include a concentration of PM 2.5.
Optionally, the user may send a first instruction for opening the multidimensional adjustment mode to the air conditioning device through a non-contact mode such as a language, a gesture, and the like through a remote controller, an air conditioning device APP in the mobile terminal, and an operation panel on a body of the air conditioning device.
In an embodiment of the application, the first instruction may include a power-on instruction, so that after the user sends the power-on instruction to the air conditioning equipment, the air conditioning equipment may enter the multidimensional adjustment mode after being powered on, thereby avoiding the need for the user to send out the instruction for starting the multidimensional adjustment mode after the air conditioning equipment is powered on in the prior art, which is relatively simple and convenient.
S102: and acquiring and displaying the recommended value of each dimension of the multi-dimension monitoring parameters on a visual interface.
In an embodiment of the application, a recommended value of each dimension of the multi-dimension monitoring parameters can be obtained according to historical use data of the air conditioning equipment used by a user, current environment data of the environment where the air conditioning equipment is located and current time information, and the obtained recommended value is displayed for the user through a visual interface.
The method can comprehensively consider the influence of the historical use data of the air conditioning equipment used by the user, the current environment data of the environment and the current time information on the recommended value of the monitoring parameter, so that the recommended value of the monitoring parameter is more in line with the use habit and the requirement of the user, is more humanized and improves the comfort level of the user.
The historical use data of the air conditioning equipment used by the user can comprise temperature information, humidity information, windshield information, a wind sweeping mode, a fresh air mode, an operation mode, accumulated use times, accumulated use duration and other data which are actively set by the user.
The current environment data of the environment may include provinces, cities, climate areas, indoor temperature, outdoor temperature, indoor humidity, outdoor humidity, PM2.5 concentration, carbon dioxide concentration, air quality index and other data of the user.
The current time information may include data such as month, solar terms, specific time period (morning, afternoon, evening), whether the current time is on weekday, and the like.
It should be noted that the usage data of each time the user uses the air conditioning apparatus may be stored in the storage space of the air conditioning apparatus to obtain the recommended value of the monitoring parameter.
Optionally, the current environment data of the environment where the user is located may be obtained through query of the wireless network device, for example, province, city, outdoor temperature, and outdoor humidity where the user is located may be obtained through query of the wireless network device. The current environment data of the environment where the user is located can also be obtained through a detection device, for example, a temperature sensor can be installed on an indoor unit of the air conditioning equipment to obtain the indoor temperature of the environment where the user is located.
Alternatively, the current time information may be acquired by inquiring the system time of the air conditioning apparatus.
Further, a mapping relation or a mapping table between historical usage data of the air conditioning equipment used by the user, current environment data and current time information of the environment where the user is located and recommended values of the monitoring parameters in each dimension may be pre-established, and after the historical usage data of the air conditioning equipment used by the user, the current environment data and the current time information of the environment where the user is located are obtained, the mapping relation or the mapping table is queried, so that the recommended values required by the monitoring parameters in each dimension of the air conditioning equipment at the time can be determined. The mapping relation or the mapping table can be preset in the storage space of the air conditioning equipment.
As another possible implementation, a self-learning model may be established in advance, and the self-learning model may be adjusted based on the sample data. It should be noted that the sample data may include historical usage data of the experimental user using the air conditioning apparatus, current environmental data of the experimental environment, and current time information. Alternatively, the self-learning model may be preset in the storage space of the air conditioning device.
Further, the air conditioning equipment has a self-learning mode, and the data can be learned by self to obtain the recommended value of each monitoring parameter in the multi-dimensional monitoring parameters. The data may include, among other things, historical usage data of the air conditioning device by the user, current environmental data of the environment in which the user is located, and current time information.
Optionally, a value may be recommended for the monitoring parameter, and a value range may also be recommended for the monitoring parameter.
For example, when the multidimensional monitoring parameters include humidity, temperature, wind speed, pollutant content in air, air quality index and carbon dioxide concentration, a numerical value can be recommended for the temperature and the wind speed respectively, and a value range can be recommended for the humidity, the pollutant content in air, the air quality index and the carbon dioxide concentration respectively.
For example, when the monitoring parameter is temperature, the corresponding recommended value may be 25 ℃. When the monitoring parameter is wind speed, the corresponding recommended value may be 2m/s. When the monitoring parameter is humidity, the value range of the corresponding recommended value can be (40-70)%. Taking the pollutant content in the air including PM2.5 concentration as an example, when the monitoring parameter is PM2.5 concentration, the value range of the corresponding recommended value can be (0-75) mu g/m 3 . When the monitoring parameter is the air quality index, the corresponding recommended value can be (0-75) mu g/m 3 . When the monitoring parameter is the carbon dioxide concentration, the range of the corresponding recommended value can be (0-1000) PPM.
S103: and detecting the setting operation aiming at the multi-dimensional monitoring parameters on the visual interface, and acquiring the setting values of the multi-dimensional monitoring parameters according to the detected setting operation.
It should be understood that the detection of the operation on the visual interface may obtain the setting value input by the user through the visual interface, where the setting value input by the user includes a setting value modified by the user on the recommendation value, and also includes an operation of confirming the recommendation value by the user, that is, regarding the recommendation value as the setting value when the user confirms the recommendation value.
It should be noted that each dimension of monitoring parameters may correspond to one or more adjusting components, the adjusting components may be independently controlled, or may be controlled in a linkage manner, so as to adjust the monitoring parameters corresponding to the adjusting components, and the adjusting components corresponding to each dimension of monitoring parameters are adjusted independently.
S104: and identifying and displaying the type of the user on a visual interface according to the recommended value and the set value.
S105: and updating the self-learning model according to the set value and the type.
And obtaining a recommended value by the self-learning model user.
That is, after the air conditioning equipment is controlled according to the set value and the monitoring value given by the user, the self-learning model is further updated according to the set value input by the user, so that the recommended value of the self-learning model is more in line with the preference of the user.
Specifically, after the air conditioning equipment is started, the visual interface can be controlled to display various air conditioning modes for a user, wherein the air conditioning equipment comprises options of multidimensional adjustment modes, the user selects the options of the multidimensional adjustment modes to enable the air conditioning equipment to enter the multidimensional adjustment modes, at the moment, the air conditioning equipment obtains a recommended value of each multidimensional monitoring parameter in the multidimensional monitoring parameters through a self-learning model or preset parameters and the like, the user judges whether the recommended value meets the current requirement of the user or not through reading the recommended value in the visual interface, if the recommended value meets the current requirement of the user, the user can directly use the recommended value displayed in the current visual interface as a setting value through confirmation operation, if the recommended value does not meet the current requirement of the user, the user sets (adjusts) the recommended value to be adjusted through the visual interface, for example, when the temperature needs to be set, the recommended value of the temperature can be set only, and the monitoring parameters after the setting operation are used as the setting values of the multidimensional monitoring parameters. And then, identifying the type of the user according to the recommended value and the set value, displaying the identification result to the user on a visual interface, and updating the self-learning model according to the set value and the type of the user so as to provide the recommended value which is more in line with the requirements of the user in the later period.
Therefore, the control method of the air conditioning equipment can adjust a plurality of monitoring parameters simultaneously, the adjusting processes of the monitoring parameters are independent, and the flexibility of the air conditioning equipment is improved. Furthermore, the user type can be identified according to the condition of the user setting value, and the self-learning model is further updated according to the user type, so that the recommended value of the self-learning model is more in line with the preference of the user.
Further, according to the recommended value and the setting value, identifying and displaying the type of the user on a visual interface, including: and determining that the user is a first type of user if the difference between the recommended value and the set value is smaller than or equal to a preset difference, and determining that the user is a second type of user if the difference between the recommended value and the set value is larger than a preset threshold.
The first type of users may be identified users or users having stored historical usage data, i.e., old users, and the second type of users may be unidentified users or users having not stored historical usage data, i.e., new users.
It should be understood that when the user inputs the setting value by confirming the recommended value, the difference between the recommended value and the setting value is zero.
The preset threshold may be set according to an error of the target adjustment dimension, for example, when the temperature is adjusted, the preset threshold may be set to 1 ℃.
That is, a difference may be made between a recommended value given by the air conditioning equipment to the adjustment dimension and a setting value input by the user, if the difference is smaller than or equal to a preset threshold, it is indicated that the user is a first type of user, or a second type of user who can perform parameter recommendation according to the first type of user, that is, the current recommended value already substantially meets the air conditioning requirement of the user, and there is only a small difference or no difference, if the difference is greater than the preset threshold, it is indicated that a large difference exists between the current recommended value and the user requirement, and the recommended value completely fails to meet the air conditioning requirement of the user, so that the user is determined to be a second type of user, that is, the user needs to perform self-learning again according to the setting value to re-analyze his/her preference.
Further, as shown in fig. 2, when the user is a first type of user, the updating of the self-learning model according to the setting value and the type includes:
s201: and extracting the working condition characteristics related to the set value.
S202: and updating the self-learning model according to the working condition characteristic data.
That is, when the user is a first type of user, the memory or the server of the air conditioning equipment already stores historical usage data for learning the self-learning model, in order to make the recommended value i recommended by the self-learning model better meet the user's needs and reduce the amount of calculation of the self-learning model, the operating condition characteristics related to the set value may be extracted first, for example, when temperature adjustment is performed, the set value may be a temperature value, and the related operating condition characteristics may include time, place, indoor temperature, outdoor temperature, and the like, and then the self-learning model may be established, i.e., updated, only according to the extracted operating condition characteristics, so as to make the self-learning model more compact, effectively reduce the amount of data required to be processed by the self-learning model, and prevent other operating conditions from unnecessarily interfering with the recommended value.
Further, as shown in fig. 3, after the self-learning model is updated according to the operating condition characteristic data, the method further includes:
s301: and clustering the working condition characteristics in the historical use data of the first class of users to obtain working condition characteristic data.
S302: and training the updated self-learning model by using the working condition characteristic data.
Specifically, for the first type of users, the memory server of the air conditioning equipment can store historical use data of the first type of users on the air conditioning equipment, so that the working condition characteristics in the historical use data of the first type of users are extracted, clustering analysis is performed, and the clustered working condition characteristic data are obtained. It should be understood that through the cluster analysis of the operating condition characteristics, information such as the requirement of the user for air conditioning, for example, under what operating condition the user may start the air conditioning equipment to perform air conditioning, and to what extent, can be obtained. And then training by using the self-learning model updated by the clustered working condition characteristic data, so that a recommended value more in line with the use habit of a user can be obtained, the training sample size of the self-learning model can be effectively reduced through clustering, and the calculation amount of the self-learning model is reduced.
It should be understood that when the user is identified as the second type of user, since the memory or the server of the air conditioning equipment stores the operating condition characteristics which can be used for self-learning for the second type of user, only the setting value input by the second type of user can be stored as the historical use data of the user, so that the control behavior of the air conditioning equipment of the user can be self-learned in the later period.
It should be noted that, after the air conditioning equipment enters the multidimensional adjustment mode, each dimension of the monitored parameter can be monitored to obtain the monitored value of each dimension of the monitored parameter.
For example, when the monitored parameter includes temperature, a monitored value of the temperature may be obtained by installing a temperature sensor on an indoor unit of the air conditioning apparatus. When the monitoring parameter comprises the wind speed, the monitoring value of the wind speed can be obtained by installing a wind speed sensor at the air outlet of the indoor unit of the air conditioning equipment.
It should be noted that the monitoring parameters and the corresponding adjusting components thereof may be calibrated according to actual conditions and preset in the storage space of the air conditioning equipment. For example, where the monitored parameter is wind speed, the corresponding adjustment component may comprise a fan. When the monitoring parameter is temperature, the corresponding adjusting component can comprise a compressor and a fan.
Optionally, a mapping relation or a mapping table between the monitoring parameter and the adjusting component may be pre-established, after the monitoring parameter is obtained, the mapping relation or the mapping table is queried, the adjusting component corresponding to the monitoring parameter can be determined, and then the adjusting component is adjusted.
Alternatively, the conditioning assembly is integrated with or independent of the air conditioning apparatus, which method can improve the applicability and flexibility of the conditioning assembly, so that the present application can be more widely applied to the air conditioning apparatus.
For example, when the temperature, the air quality index and the pollutant content in the air are regulated, the operation of recovering the indoor air, that is, the indoor return air during temperature regulation, the air quality index and the pollutant content in the air are recovered and filtered, and the like, so that the return air inlets for temperature regulation, air quality index regulation and pollutant regulation in the air can be integrally arranged, that is, only one return air inlet is arranged, or a plurality of return air inlets can be arranged according to actual conditions, for example, because the pollutant quality in the air is large and the phenomenon of sinking can be generated, the return air inlet for pollutant regulation in control can be arranged at the lower part of the air conditioning equipment so that the quantity of the recovered air containing pollutants is high, the pollutant content regulation efficiency in the air is improved, and the return air inlet for temperature regulation is arranged at the upper part of the air conditioning equipment so that the quantity of the recovered air containing pollutants is low, and the secondary pollution of the air caused by temperature regulation air supply is reduced. For another example, since the humidity adjustment includes blowing atomized water into the room, in order to prevent the atomized water from causing condensation and the like inside the air conditioning equipment and affecting the adjustment of other monitoring parameters, the air blowing port for humidity adjustment may be independently provided.
Further, after the multidimensional monitoring parameters are obtained, the adjusting component corresponding to any one-dimensional monitoring parameter can be adjusted according to the set value and the monitored value of any one-dimensional monitoring parameter in the multidimensional monitoring parameters, specifically, at least one adjusting component corresponding to any one-dimensional monitoring parameter can be determined, then an adjusting instruction for the adjusting component is generated according to the set value and the monitored value of any one-dimensional monitoring parameter, and the adjusting component is adjusted according to the adjusting instruction.
For example, when the monitoring parameter is the wind speed, the corresponding adjusting component may include a fan, and may generate an adjusting instruction for the fan according to the setting value and the monitoring value of the wind speed, and adjust the fan according to the adjusting instruction.
It will be appreciated that the higher the fan speed, the greater the wind speed.
Further, if the monitored value of the wind speed is greater than the set value of the wind speed, which indicates that the wind speed is too high at this time, the wind speed needs to be reduced, an adjustment instruction for reducing the rotation speed of the fan can be generated, and the rotation speed of the fan can be reduced according to the adjustment instruction, so as to reduce the wind speed. If the monitored value of the wind speed is smaller than the set value of the wind speed, the wind speed is required to be increased if the wind speed is too small, an adjusting instruction for increasing the rotating speed of the fan can be generated, and the rotating speed of the fan is increased according to the adjusting instruction so as to increase the wind speed. If the monitored value of the wind speed is equal to the set value of the wind speed, no regulating instruction aiming at the fan can be generated, so that the fan continues to operate according to the current rotating speed.
The method can adjust the wind speed by adjusting the rotating speed of the fan, so that the monitoring value of the wind speed approaches to the set value of the wind speed, and the comfort level of a user is improved.
Or, when the monitoring parameter is the temperature, the corresponding adjusting component can comprise a compressor and a fan, and can respectively generate adjusting instructions for the compressor and the fan according to the setting value and the monitoring value of the temperature, and adjust the compressor and the fan according to the adjusting instructions.
It can be understood that, taking the air conditioning equipment operating in the heating mode as an example, the higher the operating frequency of the compressor and the rotational speed of the fan, the higher the heating load of the air conditioning equipment is, and the higher the temperature is.
Further, taking the air conditioning equipment operating in the heating mode as an example, if the monitored value of the temperature is greater than the set value of the temperature, which indicates that the temperature is too high at this time and needs to be decreased, the adjusting instructions for decreasing the operating frequency of the compressor and decreasing the rotation speed of the fan can be generated respectively, and the operating frequency of the compressor and the rotation speed of the fan can be decreased according to the adjusting instructions to decrease the temperature. If the monitored value of the temperature is smaller than the set value of the temperature, the temperature is too low at the moment, the temperature needs to be increased, adjusting instructions for increasing the running frequency of the compressor and increasing the rotating speed of the fan can be respectively generated, and the running frequency of the compressor and the rotating speed of the fan are increased according to the adjusting instructions so as to increase the temperature. If the monitored value of the temperature is equal to the set value of the temperature, no regulating instruction aiming at the compressor and the fan can be generated, so that the compressor continues to operate according to the current operating frequency, and the fan continues to operate according to the current rotating speed.
The method can adjust the temperature by adjusting the running frequency of the compressor and the rotating speed of the fan, so that the monitoring value of the temperature approaches to the set value of the temperature, and the comfort level of a user is improved.
In an embodiment of the application, before detecting the first instruction for selecting the multidimensional adjustment mode from the visual interface of the air conditioning equipment, the method further includes obtaining a selection instruction for selecting at least two-dimensional monitoring parameters from the multidimensional monitoring parameters, which indicates that a user has a desire to adjust the at least two-dimensional monitoring parameters, and the air conditioning equipment needs to start the multidimensional adjustment mode.
The method enables a user to select at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters according to personal wishes, and the monitoring parameters are used as the monitoring parameters to be adjusted by the air conditioning equipment, so that the method has high flexibility.
For example, when the multidimensional monitoring parameters include humidity, temperature, and wind speed, if a selection instruction for selecting humidity and temperature is obtained, which indicates that a user has a desire to adjust humidity and temperature, the multidimensional adjustment mode needs to be started by the air conditioning equipment, at this time, a first instruction for starting the multidimensional adjustment mode of the air conditioning equipment may be generated according to the selection instruction, so that the air conditioning equipment enters the multidimensional adjustment mode according to the first instruction to adjust humidity and temperature.
Optionally, the user can select the monitoring parameters from the multidimensional monitoring parameters through non-contact modes such as language, gestures and the like through a remote controller, an air conditioning device APP in the mobile terminal and an operation panel on the body of the air conditioning device, and generates the selection instruction.
Taking the case that a user generates a selection instruction through a control panel on the body of the air conditioning equipment, a selection menu for the user to select monitoring parameters can be preset on the control panel, the menu selection operation of the user on a selection interface is monitored, after the menu selection operation is monitored, the selection menu is displayed, the operation position of the user on the selection menu is obtained, the monitoring parameters selected by the user are identified according to the operation position, and when the number of the monitoring parameters selected by the user is identified to be greater than or equal to two, a first instruction for starting a multi-dimensional adjustment mode of the air conditioning equipment can be generated, so that the air conditioning equipment responds to the first instruction for detecting and selecting the multi-dimensional adjustment mode from a visual interface to enter the multi-dimensional adjustment mode.
In an embodiment of the application, after the air conditioning equipment enters the multidimensional adjustment mode, the selected monitoring parameters may be identified according to a selection instruction for selecting at least two-dimensional monitoring parameters from the multidimensional monitoring parameters, and then a setting value of each-dimensional monitoring parameter in the selected multidimensional monitoring parameters is obtained.
That is to say, the selection instruction for the monitoring parameter may occur before the first instruction for selecting the multidimensional adjustment mode is detected on the visual interface of the air conditioning equipment, or after the first instruction for selecting the multidimensional adjustment mode is detected on the visual interface of the air conditioning equipment, that is, the user may select the monitoring parameter first, then generate the first instruction according to the selected monitoring parameter to start the multidimensional adjustment mode according to the first instruction to adjust the monitoring parameter selected by the user, or start the multidimensional adjustment mode according to the first instruction, then wait for the user to select the monitoring parameter to be adjusted, and adjust the monitoring parameter according to the recommended value after the user determines the monitoring parameter to be adjusted.
According to the method, only the adjusting component corresponding to the selected monitoring parameter needs to be adjusted, so that the actual requirements of the user can be better responded only by adjusting the selected monitoring parameter, the monitoring parameter of each dimension does not need to be adjusted, and energy consumption can be saved.
Furthermore, in the process of adjusting the adjusting component, an active adjusting instruction of a user for one-dimensional monitoring parameters in the multidimensional monitoring parameters is detected, which indicates that the user has a desire to actively adjust the monitoring parameters, and at this time, the air conditioning equipment is not required to adjust the monitoring parameters, and the adjusting function of the adjusting component corresponding to the monitoring parameters can be controlled to be in a locked state according to the active adjusting instruction.
That is, the user may select the monitoring parameter by selecting a manner of reserving the monitoring parameter, or by selecting a manner of locking a part of the monitoring parameter.
For example, when the multidimensional monitoring parameters include humidity, temperature, and wind speed, if a selection instruction for selecting humidity and temperature is obtained, the user may directly select humidity and temperature as the monitoring parameters to be adjusted, or may select to lock the wind speed monitoring parameters, that is, the wind speed monitoring parameters are not adjusted.
The method can control the adjusting function of the adjusting component corresponding to the monitoring parameter to be in a locking state according to the active adjusting instruction of the user aiming at the monitoring parameter, can better respond to the actual requirement of the user, and has high flexibility.
Optionally, the user can actively adjust the monitoring parameters through non-contact modes such as language and gestures through a remote controller, an air conditioning device APP in the mobile terminal and an operation panel on the body of the air conditioning device, and sends an active adjustment instruction.
Further, in the process of adjusting the adjusting component, a closing instruction of the user for one-dimensional monitoring parameters in the multidimensional monitoring parameters is detected, which indicates that the user has a desire to close the adjusting function of the monitoring parameters, that is, the air conditioning equipment is not required to adjust the monitoring parameters, and the adjusting component corresponding to the monitoring parameters can be controlled to be in a closed state according to the closing instruction. Optionally, the monitoring function of the monitoring parameter may be controlled to be turned off according to the turn-off instruction, that is, the monitoring value of the monitoring parameter is not obtained, so as to save energy consumption.
The method can control the adjusting component corresponding to the monitoring parameter to be in a closed state according to the closing instruction of the user aiming at the monitoring parameter, can better respond to the actual requirement of the user, has high flexibility, and is also beneficial to saving energy consumption.
Optionally, the user can close the monitoring parameters through non-contact modes such as language, gestures and the like through a remote controller, an air conditioning device APP in the mobile terminal and an operation panel on the body of the air conditioning device, and sends a closing instruction.
It should be noted that details that are not disclosed in the control method of the air conditioning equipment in the embodiment of the present application refer to details disclosed in the above embodiments of the present application, and are not described herein again.
Therefore, the adjusting component corresponding to any one-dimensional monitoring parameter can be adjusted according to the set value and the monitoring value of any one-dimensional monitoring parameter in the selected multi-dimensional monitoring parameters, so that the actual demand of a user can be better responded only by adjusting the selected monitoring parameter, each-dimensional monitoring parameter is not required to be adjusted, and energy consumption can be saved.
In an embodiment of the present application, if the difference between the monitored value and the set value of the monitored parameter is within the preset allowable range, it indicates that the difference between the monitored value and the set value of the monitored parameter is small, and the monitored parameter does not need to be adjusted. If the difference between the monitored value and the set value of the monitored parameter is not within the preset allowable range, it indicates that the difference between the monitored value and the set value of the monitored parameter is large, and the monitored parameter needs to be adjusted.
According to the method, after the difference value is identified to be not within the preset allowable range according to the difference value and the preset allowable range of the monitoring value and the setting value of any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters, at least one adjusting component corresponding to the monitoring parameter is adjusted, the times of adjusting the monitoring parameter by the air conditioning equipment are reduced, and the adjustment efficiency is improved.
It should be noted that the preset allowable range may be calibrated according to actual conditions, and different monitoring parameters may correspond to different allowable ranges and be preset in the storage space of the air conditioning equipment.
For example, when the monitoring parameter is temperature, the corresponding allowable range may be 2 ℃. Monitoring parameter as wetIn degrees, the corresponding allowable range may be 5%. When the monitored parameter is wind speed, the corresponding allowable range may be 0.5m/s. When the monitoring parameter is PM2.5 concentration, the corresponding allowable range can be 10 μ g/m 3 . When the monitoring parameter is air quality index, the corresponding allowable range can be 15 μ g/m 3 . When the monitoring parameter is the carbon dioxide concentration, the corresponding allowable range may be 50PPM.
Optionally, a mapping relation or a mapping table between the monitoring parameter and a preset allowable range may be pre-established, after the monitoring parameter is obtained, the mapping relation or the mapping table is queried, so as to determine the preset allowable range corresponding to the monitoring parameter, and then the mapping relation or the mapping table is used for comparing with a difference between the monitoring value and the setting value of the monitoring parameter, and identifying whether the difference between the monitoring value and the setting value of the monitoring parameter is within the preset allowable range.
In an embodiment of the present application, if it is identified that the adjustment assemblies corresponding to two or more dimensions of the monitored parameter include the same adjustment assembly, and the two or more dimensions of the monitored parameter need to be adjusted, that is, the difference between the monitored value and the set value of the two or more dimensions of the monitored parameter is not within the preset allowable range, it indicates that the two or more dimensions of the monitored parameter need to be adjusted, at this time, the monitored parameter with the highest priority level may be determined according to the priority level of each dimension of the monitored parameter in the two or more dimensions of the monitored parameter, and then the same adjustment assembly may be adjusted according to the set value and the monitored value of the monitored parameter with the highest priority level.
According to the method, when the number of the monitoring parameters to be adjusted is two or more and the adjusting components corresponding to the two or more monitoring parameters to be adjusted comprise the same adjusting component, the same adjusting component is adjusted according to the setting value and the monitoring value of the monitoring parameter with the highest priority in the two or more monitoring parameters to be adjusted.
The priority of each dimension of monitoring parameters can be calibrated according to actual conditions and is preset in a storage space of the air conditioning equipment. Optionally, the priority of each dimension of monitoring parameters may be preset when the air conditioning equipment leaves the factory, or may be defined by the user, which has higher flexibility.
For example, if the adjusting components corresponding to the identified temperature and the identified wind speed all include fans, and the difference values between the monitored values and the set values of the temperature and the wind speed are not within the preset allowable range, which indicates that the temperature and the wind speed need to be adjusted, the priorities corresponding to the temperature and the wind speed can be called from the storage space of the adjusting components, and taking the priority of the temperature higher than the priority of the wind speed as an example, the fans can be adjusted according to the set values and the monitored values of the temperature.
In summary, the control method of the air conditioning equipment disclosed by the application can adjust a plurality of monitoring parameters at the same time, and the adjusting processes of the monitoring parameters are independent from each other, so that the flexibility of the air conditioning equipment is improved. Furthermore, the user type can be identified according to the condition of the user setting value, and the self-learning model is further updated according to the user type, so that the recommended value of the self-learning model is more in line with the preference of the user.
In order to implement the above embodiments, the present invention also provides a control device of an air conditioning apparatus.
Fig. 4 is a block diagram schematically illustrating a control method of an air conditioning apparatus according to an embodiment of the present application.
As shown in fig. 4, the control device 100 of the air conditioning apparatus includes: the system comprises a mode starting module 10, a first obtaining module 20, a second obtaining module 30, an identifying module 40 and an updating module 50.
The mode starting module 10 is used for detecting a first instruction for selecting the multi-dimensional adjusting mode from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode; the first obtaining module 20 is configured to obtain and display a recommended value of each monitoring parameter in the multidimensional monitoring parameters on the visual interface; the second obtaining module 30 is configured to detect a setting operation on the visual interface for the multidimensional monitoring parameter, and obtain a setting value of the multidimensional monitoring parameter according to the detected setting operation; the identification module 40 is used for identifying and displaying the type of the user on the visual interface according to the recommended value and the set value; the updating module 50 is configured to update a self-learning model according to the setting value and the type, where the self-learning model is used to obtain the recommended value.
Further, the update module 50 is further configured to: determining that the user is a first type of user when the difference value between the recommended value and the set value is smaller than or equal to a preset threshold value; and determining that the user is a second type of user if the difference between the recommended value and the set value is greater than the preset threshold value.
Further, the update module 50 is further configured to: extracting working condition characteristics related to the set value; and updating the self-learning model according to the working condition characteristic data.
Further, the update module 50 is further configured to: clustering analysis is carried out on the working condition characteristics in the historical use data of the first class of users, and working condition characteristic data are obtained; and training the updated self-learning model by using the working condition characteristic data.
Further, the second obtaining module 30 is further configured to: and detecting an active adjusting instruction of a user for one-dimensional monitoring parameters in the multi-dimensional monitoring parameters, and controlling an adjusting function of an adjusting component corresponding to the one-dimensional monitoring parameters to be in a locking state according to the active adjusting instruction.
Further, the second obtaining module 30 is further configured to: and detecting a closing instruction of a user for one-dimensional monitoring parameters in the multi-dimensional monitoring parameters, and controlling the adjusting component corresponding to the one-dimensional monitoring parameters to be in a closing state according to the closing instruction.
Further, the second obtaining module 30 is further configured to: obtaining a selection instruction for selecting at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters, and generating the first instruction according to the selection instruction
Further, the second obtaining module 30 is further configured to: determining at least one adjusting component corresponding to the arbitrary one-dimensional monitoring parameter; and generating an adjusting instruction aiming at the adjusting component according to the set value and the monitoring value of any one-dimensional monitoring parameter, and adjusting the adjusting component according to the adjusting instruction.
Further, the second obtaining module 30 is further configured to: and acquiring a difference value between the monitoring value and the set value, and determining that the difference value is not in a preset allowable range.
Further, the second obtaining module 30 is further configured to: identifying that the adjustment assemblies corresponding to the monitored parameters in two or more dimensions comprise the same adjustment assembly; and if the two-dimensional or more-dimensional monitoring parameters need to be adjusted, determining the priority of each-dimensional monitoring parameter in the two-dimensional or more-dimensional monitoring parameters, and adjusting the same adjusting component according to the recommended value and the monitoring value of the monitoring parameter with the highest priority.
Further, the multidimensional monitoring parameters include: two or more of humidity, temperature, wind speed, pollutant content in air and air quality index.
Further, the conditioning assembly is integrated with or independent of the air conditioning device.
It should be noted that the foregoing explanation of the embodiment of the control method of the air conditioning equipment is also applicable to the control device of the air conditioning equipment of this embodiment, and details are not repeated here.
In order to implement the above-mentioned embodiment, the present application also proposes an air conditioning device 200, as shown in fig. 5, which includes the control apparatus 100 of the above-mentioned air conditioning device.
The air conditioning equipment of the embodiment of the application can adjust a plurality of monitoring parameters simultaneously, and the adjusting processes of the monitoring parameters are mutually independent, so that the flexibility of the air conditioning equipment is improved. Furthermore, the adjusting component corresponding to the monitoring parameter can be adjusted according to the recommended value and the monitoring value of the monitoring parameter, so that the monitoring parameter can be adjusted.
In order to implement the above embodiments, the present application further proposes an electronic device 300, as shown in fig. 6, the electronic device 300 includes a memory 31 and a processor 32. Wherein the processor 32 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 31 for implementing the control method of the air conditioning apparatus described above.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (14)

1. A control method of an air conditioning apparatus, characterized by comprising the steps of:
detecting a first instruction for selecting a multi-dimensional adjusting mode from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode;
acquiring and displaying a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters on the visual interface;
detecting the setting operation aiming at the multidimensional monitoring parameters on the visual interface, and acquiring the setting values of the multidimensional monitoring parameters according to the detected setting operation; and
according to the recommended value and the set value, identifying and displaying the type of the user on the visual interface;
updating a self-learning model according to the set value and the type, wherein the self-learning model is used for acquiring the recommended value;
the identifying and displaying the type of the user on the visual interface according to the recommended value and the set value comprises the following steps:
determining that the user is a first type of user when the difference value between the recommended value and the set value is smaller than or equal to a preset threshold value;
determining that the user is a second type of user if the difference between the recommended value and the set value is greater than the preset threshold value;
the first class of users are old users, and the second class of users are new users;
when the user is a first type of user, updating the self-learning model according to the setting value and the type, including:
extracting working condition characteristics related to the set value;
updating the self-learning model according to the working condition characteristic data;
after the self-learning model is updated according to the working condition characteristic data, the method further comprises the following steps:
performing clustering analysis on the working condition characteristics in the historical use data of the first class of users to obtain working condition characteristic data;
and training the updated self-learning model by using the working condition characteristic data.
2. The control method of the air conditioning apparatus according to claim 1, characterized by further comprising:
and detecting an active adjusting instruction of a user for one-dimensional monitoring parameters in the multi-dimensional monitoring parameters, and controlling an adjusting function of an adjusting component corresponding to the one-dimensional monitoring parameters to be in a locking state according to the active adjusting instruction.
3. The control method of an air conditioning apparatus according to claim 1, characterized by further comprising:
and detecting a closing instruction of a user for one-dimensional monitoring parameter in the multi-dimensional monitoring parameters, and controlling an adjusting component corresponding to the one-dimensional monitoring parameter to be in a closing state according to the closing instruction.
4. The method for controlling an air conditioning apparatus according to claim 1, wherein before detecting the first instruction for selecting the multidimensional adjustment mode from the visual interface of the air conditioning apparatus, the method further comprises:
and acquiring a selection instruction for selecting at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters, and generating the first instruction according to the selection instruction.
5. The control method of an air conditioning apparatus according to claim 1, characterized in that after the obtaining of the set values of the multidimensional monitoring parameter, further comprising:
and adjusting the adjusting component corresponding to any one-dimensional monitoring parameter according to the set value and the monitoring value of any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
6. The control method of an air conditioning apparatus according to claim 5, wherein the adjusting component corresponding to any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters according to the set value and the monitored value of the any one-dimensional monitoring parameter includes:
determining at least one adjusting component corresponding to the arbitrary one-dimensional monitoring parameter;
and generating an adjusting instruction aiming at the adjusting component according to the set value and the monitoring value of any one-dimensional monitoring parameter, and adjusting the adjusting component according to the adjusting instruction.
7. The control method of an air conditioning apparatus according to claim 6, before generating the adjustment instruction for the adjustment component based on the set value and the monitored value of the arbitrary one-dimensional monitoring parameter, further comprising:
and acquiring a difference value between the monitoring value and the set value, and determining that the difference value is not in a preset allowable range.
8. The control method of an air conditioning apparatus according to claim 7, characterized by further comprising:
identifying that the adjustment assemblies corresponding to the monitored parameters in two or more dimensions comprise the same adjustment assembly; and if the two or more monitoring parameters need to be adjusted, determining the priority of each monitoring parameter in the two or more monitoring parameters, and adjusting the same adjusting component according to the recommended value and the monitoring value of the monitoring parameter with the highest priority.
9. The control method of an air conditioning apparatus according to claim 1, characterized in that the multidimensional monitoring parameter includes: two or more of humidity, temperature, wind speed, pollutant content in air and air quality index.
10. The control method of the air conditioning apparatus according to claim 1, characterized in that a conditioning component is integrated with or independent of the air conditioning apparatus.
11. A control device of an air conditioning apparatus, characterized by comprising:
the mode starting module is used for detecting a first instruction for selecting the multi-dimensional adjusting mode from a visual interface of the air conditioning equipment so as to enter the multi-dimensional adjusting mode;
the first acquisition module is used for acquiring and displaying the recommended value of each dimension of the multi-dimension monitoring parameters on the visual interface;
the second acquisition module is used for detecting the setting operation of the multidimensional monitoring parameters on the visual interface and acquiring the setting values of the multidimensional monitoring parameters according to the detected setting operation; and
the identification module is used for identifying and displaying the type of the user on the visual interface according to the recommended value and the set value;
the updating module is used for updating a self-learning model according to the setting value and the type, wherein the self-learning model is used for acquiring the recommended value;
the updating module is further used for determining that the user is a first type of user when the difference value between the recommended value and the set value is smaller than or equal to a preset threshold value; determining that the user is a second type of user when the difference value between the recommended value and the set value is larger than the preset threshold value, wherein the first type of user is an old user, and the second type of user is a new user;
the updating module is also used for extracting the working condition characteristics related to the set value; updating the self-learning model according to the working condition characteristic data;
the updating module is further used for carrying out clustering analysis on the working condition characteristics in the historical use data of the first class of users to obtain working condition characteristic data; and training the updated self-learning model by using the working condition characteristic data.
12. An air conditioning apparatus, characterized by comprising: the control device of the air conditioning apparatus according to claim 11.
13. An electronic device comprising a memory, a processor;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for implementing the control method of the air conditioning apparatus according to any one of claims 1 to 10.
14. A computer-readable storage medium, which stores a computer program, characterized in that the program, when executed by a processor, implements the control method of the air conditioning apparatus according to any one of claims 1 to 10.
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