CN111442499A - 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
CN111442499A
CN111442499A CN202010238942.9A CN202010238942A CN111442499A CN 111442499 A CN111442499 A CN 111442499A CN 202010238942 A CN202010238942 A CN 202010238942A CN 111442499 A CN111442499 A CN 111442499A
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China
Prior art keywords
user
air conditioning
recommended value
acquiring
value
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Pending
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CN202010238942.9A
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Chinese (zh)
Inventor
樊其锋
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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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Priority to CN202010238942.9A priority Critical patent/CN111442499A/en
Publication of CN111442499A publication Critical patent/CN111442499A/en
Pending legal-status Critical Current

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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
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • 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

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: responding to a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment to enter the multi-dimensional adjusting mode; acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters; acquiring at least one adjusting instruction input by a user aiming at any one-dimensional recommended value, and recording first environment state information when each adjusting instruction is input; acquiring a target recommended value at the current moment according to the adjusting instruction and the first environment state information; according to the target recommended value and the monitoring value of at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters, the adjusting component corresponding to the at least one-dimensional monitoring parameter is adjusted, so that the target recommended value of the air conditioning equipment can meet the use habit and the requirement of a user more quickly, the air conditioning equipment is more humanized, and the comfort level of the user is improved.

Description

Air conditioning equipment, control method and device thereof and electronic equipment
Technical Field
The present application relates to the field of air conditioning 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 existing air conditioning equipment has a single air conditioning function, is not flexible enough, cannot meet the requirements of users, and simultaneously, has the problem that the self-learning model requires a long training time and cannot adapt to environmental changes in a short time.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present application is to provide a control method for an air conditioning device, which can make a target recommendation value of the air conditioning device meet usage habits and requirements of a user faster, and is more humanized, and improves comfort of the user.
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: responding to a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment to enter the multi-dimensional adjusting mode; acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters; acquiring at least one adjusting instruction input by a user aiming at any one-dimensional recommended value, and recording first environment state information when each adjusting instruction is input; acquiring a target recommended value at the current moment according to the adjusting instruction and the first environment state information; and adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
According to an embodiment of the present invention, the obtaining a recommended value of each monitoring parameter in the multidimensional monitoring parameters further includes: acquiring identity information of a user, and identifying the type of the user according to the identity information; and acquiring a recommended value of each dimension of the multi-dimension monitoring parameters according to the type.
According to an embodiment of the present invention, the obtaining a recommended value of each monitoring parameter in the multidimensional monitoring parameters according to the type includes: and according to the type, determining a target model for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data.
According to an embodiment of the present invention, the determining, according to the type, a target model used for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data, includes: identifying the user as a first type of user; acquiring a first learning model corresponding to the first class of users as the target model; acquiring historical use data of the air conditioning equipment used by the user, current environment data of the environment and current time information as the first data; and inputting the first data into the first learning model to obtain the recommended value.
According to an embodiment of the present invention, the determining, according to the type, a target model used for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data, includes: identifying the user as a second class of user; acquiring a second learning model corresponding to the second class of users as the target model; acquiring current environment data and/or current time information of the environment where the user is located as the first data; inputting the first data to the second learning module to obtain the group attribute of the user; and acquiring group users according to the group attributes, and acquiring the recommendation values corresponding to the group users as the recommendation values of the users.
According to an embodiment of the present invention, the obtaining a target recommended value at a current time according to the adjustment instruction and the first environmental status information further includes: acquiring a correction value of the recommended value according to the adjusting instruction and the first environment state information; and correcting the recommended value of the corresponding dimensionality by using the corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
According to an embodiment of the present invention, the obtaining of the correction value of the recommended value according to the adjustment instruction and the first environmental status information includes: acquiring a mapping relation between the adjusting instruction and the first environment state information by using a gradient descent algorithm; acquiring second environment state information of the current environment of the air conditioning equipment; and acquiring the correction value of the recommended value according to the second environment state information and the mapping relation.
According to an embodiment of the present invention, the obtaining of the correction value of the recommended value according to the adjustment instruction and the first environmental status information includes: acquiring the adjustment quantity of at least one adjustment instruction under different first environment state information; and sorting the adjustment quantities according to adjustment frequencies, and taking the adjustment quantity with the highest adjustment frequency as the correction value of the corresponding dimension recommendation value.
According to an embodiment of the present invention, the obtaining of the correction value of the recommended value according to the adjustment instruction and the first environmental status information includes: acquiring identity information of the user, and identifying the user as a second type of user according to the identity information; acquiring group attributes of the users, and acquiring corresponding group users, adjustment instructions of the group users and first environment state information according to the group attributes; and acquiring a group correction value of the group user according to the adjusting instruction of the group user and the first environment state information, and taking the group correction value as the correction value of the user.
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.
According to the control method of the air conditioning equipment, the recommended value at the current moment can be corrected according to the adjusting instruction of the user and the first environment state information when the user inputs the adjusting instruction, the adjusting component can be adjusted according to the target recommended value, the problems that the self-learning model requires long training time and cannot adapt to environment changes in a short time are effectively solved, the target recommended value of the air conditioning equipment can be enabled to meet the use habits and requirements of the user more quickly, the control method is more humanized, and the comfort level of the user is improved.
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 system comprises a mode starting module, a control module and a control module, wherein the mode starting module is used for responding a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment so as to enter the multi-dimensional adjusting mode; the first acquisition module is used for acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters; the second acquisition module is used for acquiring at least one adjusting instruction input by a user aiming at any one-dimensional recommended value and recording first environment state information when each adjusting instruction is input; the correction module is used for acquiring a target recommendation value at the current moment according to the adjustment instruction and the first environment state information; and the adjusting module is used for adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
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 another embodiment of the present application;
fig. 3 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 4 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 5 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 6 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
fig. 7 is a flowchart of a control method of an air conditioning apparatus according to still another embodiment of the present application;
FIG. 8 is a block schematic diagram of a control device of an air conditioning unit according to an embodiment of the present application;
FIG. 9 is a block schematic diagram of an air conditioning unit according to an embodiment of the present application;
FIG. 10 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 drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the 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: the method includes responding to a first instruction for starting a multi-dimensional adjustment mode of the air conditioning device to enter the multi-dimensional adjustment mode.
It should 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, customs, pollutant content in the air, Air Quality Index (AQI), carbon dioxide concentration, and the like. 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 remote controller, an air conditioning device APP in the mobile terminal, an operation panel on a body of the air conditioning device, and the like in a non-contact manner such as voice, gesture, and the like.
In an embodiment of the application, the first instruction may include a start instruction, so that after the user sends the start instruction to the air conditioning equipment, the air conditioning equipment may enter the multidimensional adjustment mode after starting up, thereby avoiding the need for the user to send the instruction for starting the multidimensional adjustment mode again after the air conditioning equipment is started up in the prior art, which is simpler and more convenient.
S102: and acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters.
In one embodiment of the application, the recommended value of each monitoring parameter in the multi-dimensional 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.
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, an envelope mode, an operation mode, accumulated use times, accumulated use duration and other data which are actively set by the user. It should be understood that the user may enter usage data by modifying the default recommended values for the air conditioning unit.
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 can 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 inquired, so that recommended values required by each monitoring parameter of the air conditioning equipment at the moment 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 in which the user is located, 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 self-learned 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.
In an embodiment of the application, after the air conditioning equipment enters the multi-dimensional regulation mode, a second instruction for instructing the air conditioning equipment to perform self-learning may be further generated, so that the air conditioning equipment responds to the second instruction to enter the self-learning mode and perform self-learning on data to obtain a recommended value of each monitoring parameter in the multi-dimensional monitoring parameters.
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, customs, 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.
Specifically, when the monitored parameter is humidity, the corresponding recommended value may be 25 ℃. When the monitoring parameter is wind speed, the corresponding recommended value may be 2 m/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/m3. When the monitoring parameter is the air quality index, the value range of the corresponding recommended value can be (0-75) mu g/m3. When the monitoring parameter is the carbon dioxide concentration, the value range of the corresponding recommended value can be (0-1000) PPM.
As can be seen, in the embodiment of the present application, the recommendation value is generally a constant recommendation value obtained based on a large amount of historical usage data of the user, that is, a constant recommendation value suitable for the user in a normal state.
S103: and acquiring at least one adjusting instruction input by a user aiming at any one-dimensional recommended value, and recording first environment state information when each adjusting instruction is input.
The first environmental status information may include, but is not limited to, information for expressing air status in an environment such as weather, indoor temperature, outdoor temperature, indoor humidity, outdoor humidity, indoor PM2.3 content, outdoor PM2.5 content, AQI, CO2 content, and the like.
It should be noted that, when the environmental state changes, a user is usually used to modify the recommended value of the air conditioning equipment, for example, when the temperature is sharply decreased due to cold flow, people usually adjust the target temperature of the air conditioning equipment to be higher so as to keep the indoor temperature at a higher suitable temperature, and the humidity of the whole environment is decreased in a continuous sunny day, at this time, people usually adjust the target humidity of the air conditioning equipment to be higher so as to keep the indoor humidity at a more humid suitable state.
That is, even though the recommended value of the air conditioning device meets the daily use requirement of the user, the user still needs to adjust the recommended value so that the indoor air condition meets the comfort requirement of the user when the environmental condition changes.
It should be understood that some users' adjustments to the air conditioning equipment may also be related to environmental conditions such as season, for example, spring is a high incidence period of part of allergic rhinitis, users have a high demand for air purification, etc. In summary, the user is associated with the environmental state when adjusting the recommended value.
It should also be understood that even if a new user changes the recommended value by using the air conditioning apparatus, the adjustment instruction and the first environmental state information may be acquired at the same time to record the relationship of the adjustment instruction of the new user and the environmental state.
S104: and acquiring a target recommended value at the current moment according to the adjusting instruction and the first environment state information.
Specifically, as shown in fig. 2, acquiring the target recommendation value at the current time according to the adjustment instruction and the first environmental status information includes:
s201: and acquiring a correction value of the recommended value according to the adjusting instruction and the first environment state information.
S202: and correcting the recommended value of the corresponding dimension by using the corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
That is, the correction value of the corresponding recommended value may be acquired according to the adjustment instruction and the first environmental state information, that is, the correction value corresponding to the corresponding environmental state may be acquired, and the corrected target recommended value may be acquired by correcting, for example, adding or the like, the recommended value of the corresponding dimension using the correction value.
S105: and adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
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.
Therefore, the control method of the air conditioning equipment can correct the recommended value at the current moment according to the adjusting instruction of the user and the first environment state information when the user inputs the adjusting instruction and adjust the adjusting component according to the target recommended value, effectively solves the problems that the self-learning model requires long training time and cannot adapt to environment change in a short time, can enable the target recommended value of the air conditioning equipment to meet the use habit and the requirement of the user more quickly, is more humanized and improves the comfort level of the user.
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 the temperature regulation, the air quality index and the pollutant content in the air are recovered and filtered, and the like, therefore, the return air inlets for the temperature regulation, the air quality index regulation and the 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 the actual situation, for example, because the pollutant quality in the air is larger and the sinking phenomenon can be generated, the return air inlet for controlling the pollutant regulation in the middle can be arranged at the lower part of the air conditioning equipment, so that the pollutant content in the recovered air is higher, the pollutant content regulation efficiency in the air is improved, and the return air inlet for regulating the temperature is arranged at the upper part of the air conditioning equipment, so that the amount of the pollutants contained in the recovered air is lower, 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.
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.
Further, adjusting the adjusting component corresponding to any one-dimensional monitoring parameter according to the target recommended value and the monitoring value of any one-dimensional monitoring parameter in the multi-dimensional monitoring parameters may include determining at least one adjusting component corresponding to any one-dimensional monitoring parameter, then generating an adjusting instruction for the adjusting component according to the target recommended value and the monitoring value of any one-dimensional monitoring parameter, and adjusting the adjusting component according to the adjusting instruction.
For example, when the monitoring parameter is the wind speed, a control instruction for the fan may be generated according to the target recommended value and the monitoring value of the wind speed, and the fan may be controlled according to the control 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 recommended value of the wind speed, which indicates that the wind speed is too high and needs to be reduced, a control instruction for reducing the rotating speed of the fan can be generated, and the rotating speed of the fan can be reduced according to the control instruction so as to reduce the wind speed. If the monitored value of the wind speed is smaller than the recommended value of the wind speed, the wind speed is required to be increased if the wind speed is too small, a control instruction for increasing the rotating speed of the fan can be generated, and the rotating speed of the fan is increased according to the control instruction so as to increase the wind speed. If the monitored value of the wind speed is equal to the target recommended value of the wind speed, a control instruction for the fan can not 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 monitored value of the wind speed approaches to the target recommended value of the wind speed, and the comfort level of a user is improved.
Or when the monitoring parameter is temperature, the corresponding adjusting component may include a compressor and a fan, and may generate control instructions for the compressor and the fan respectively according to the target recommended value and the monitoring value of the temperature, and control the compressor and the fan according to the control 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 target recommended value of the temperature, which indicates that the temperature is too high at this time and needs to be reduced, control instructions for reducing the operating frequency of the compressor and the rotating speed of the fan can be respectively generated, and the operating frequency of the compressor and the rotating speed of the fan are reduced according to the control instructions to reduce the temperature. If the monitored value of the temperature is smaller than the target recommended value of the temperature, the temperature is too low at the moment, the temperature needs to be increased, control 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 control instructions so as to increase the temperature. If the target monitoring value of the temperature is equal to the recommended value of the temperature, a control instruction for the compressor and the fan can not 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 operating frequency of the compressor and the rotating speed of the fan, so that the temperature monitoring value approaches to the target recommended value of the temperature, and the comfort level of a user is improved.
In summary, according to the control method of the air conditioning equipment in the embodiment of the application, a plurality of monitoring parameters can be adjusted 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 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.
According to an embodiment of the present invention, before responding to the first instruction for turning on the multi-dimensional adjustment mode of the air conditioning apparatus, the method further includes: obtaining a selection instruction for selecting at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters, and generating a first instruction according to the selection instruction.
Specifically, before responding to the first instruction for starting the multidimensional adjustment mode of the air conditioning equipment, the method further comprises the step of obtaining a selection instruction for selecting at least two-dimensional monitoring parameters from the multidimensional monitoring parameters, which indicates that a user wishes 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 may select the monitoring parameter from the multidimensional monitoring parameters through non-contact modes such as language, gesture and the like through an operation panel on the body of the air conditioning equipment APP in the remote controller and the mobile terminal, and generate the selection instruction.
Taking the case that a user generates a selection instruction through an operation panel on the body of the air conditioning equipment, a selection menu for the user to select monitoring parameters can be preset on the operation 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, then 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 to enter the multi-dimensional adjustment mode.
In an embodiment of the present 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 recommended 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 starting the multidimensional adjustment mode of the air conditioning equipment is responded, or may occur after the first instruction for starting the multidimensional adjustment mode of the air conditioning equipment is responded, 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 mode of retaining the monitoring parameter, or by selecting a mode 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, by adopting the control method of the air conditioning equipment, the user can select at least two-dimensional monitoring parameters from the multi-dimensional monitoring parameters according to personal wishes, and the parameters are used as the monitoring parameters to be adjusted by the air conditioning equipment, so that the control method has higher flexibility. Moreover, the adjusting component corresponding to any one-dimensional monitoring parameter can be adjusted according to the target recommended value and the monitoring value of any one-dimensional monitoring parameter in the selected multi-dimensional monitoring parameters, so that the actual requirements of users can be better responded only by adjusting the selected monitoring parameter, each-dimensional monitoring parameter is not required to be adjusted, and energy consumption is effectively saved.
According to an embodiment of the present invention, as shown in fig. 3, after entering the multi-dimensional adjustment mode in response to a first instruction for turning on the multi-dimensional adjustment mode of the air conditioning apparatus, the method includes the steps of:
s301: and acquiring the identity information of the user, and identifying the type of the user according to the identity information.
The identity information department of the user comprises an account number of the user using the air conditioning equipment, identification information of equipment installed in the air conditioning equipment APP and the like, wherein the identification information department comprises an equipment code.
In one embodiment of the present application, identifying the type of the user according to the identity information may include identifying whether the identity information of the user is in a user list of the air conditioning equipment, and identifying the user as an old user if the identity information of the user is in the user list of the air conditioning equipment, which indicates that the user has used the air conditioning equipment. If the identity information of the user is not in the user list of the air conditioning equipment, the user is identified as a new user, which indicates that the user does not use the air conditioning equipment.
In an embodiment of the application, after the identity information of the user is obtained, historical use data of the air conditioning equipment used by the user can be obtained according to the identity information of the user. It should be noted that the historical usage data of the air conditioning equipment used by the user may include temperature information, humidity information, windshield information, wind sweeping mode, fresh air mode, operation mode, cumulative usage times, cumulative usage duration and other data which are actively set by the user.
Further, a mapping relation or a mapping table between historical data of the air conditioning equipment used by the user and the type of the user can be established in advance, and after the historical data of the air conditioning equipment used by the user is obtained, the mapping relation or the mapping table is inquired, so that the type of the user can be determined. The mapping relation or the mapping table can be preset in the storage space of the air conditioning equipment.
Alternatively, the type of the user may be identified according to the cumulative number of times the user uses the air conditioning apparatus and the cumulative period of use.
For example, the cumulative number of times of use and the cumulative duration of use of the air conditioning equipment by the user may be obtained, and if it is identified that the cumulative number of times of use is greater than a preset first threshold, or the cumulative duration of use is greater than a preset second threshold, it is indicated that the number of times of use of the air conditioning equipment by the user is greater, or the duration of use is longer, that is, the user is an old user, and the user is identified as the first type of user.
Or, if the recognition accumulated use times is smaller than the preset first threshold and the recognition accumulated use time is also smaller than the preset second threshold, it indicates that the use times of the air conditioning equipment used by the user are less and the use time is shorter, that is, the user is a new user and the user is identified as a second type of user.
The preset first threshold and the preset second threshold may be calibrated according to actual conditions, for example, the preset first threshold may be calibrated to be 3, the preset second threshold may be calibrated to be 36 hours, and both the preset first threshold and the preset second threshold may be preset in the storage space of the air conditioning equipment.
As another possible implementation manner, after the recognition that the accumulated usage times is greater than the preset first threshold, or after the recognition that the accumulated usage time is greater than the preset second threshold, the accumulated times of the user for actively adjusting any one-dimensional monitoring parameter in the multidimensional monitoring parameters may be continuously obtained, and the user type of the user relative to each-dimensional monitoring parameter may be recognized according to the accumulated times and the accumulated usage times of the user for actively adjusting any one-dimensional monitoring parameter.
If the ratio of the accumulated times of the user actively adjusting any one-dimensional monitoring parameter to the accumulated using times is greater than or equal to a preset third threshold, it indicates that the user actively adjusts any one-dimensional monitoring parameter more times, and the user can be finally identified as a first type of user relative to any one-dimensional monitoring parameter.
Or, if the ratio of the cumulative number of times that the user actively adjusts any one-dimensional monitoring parameter to the cumulative number of times of use is smaller than a preset third threshold, it indicates that the number of times that the user actively adjusts any one-dimensional monitoring parameter is small, and the user can be finally identified as the second type user relative to any one-dimensional monitoring parameter.
The preset third threshold may be calibrated according to actual conditions, for example, may be calibrated to be 0.5, and the preset third threshold may be preset in the storage space of the air conditioning equipment.
The method can identify the user type of the user relative to any one-dimensional monitoring parameter according to the ratio of the accumulated times and the accumulated use times of the user for actively adjusting any one-dimensional monitoring parameter, so that different monitoring parameters can correspond to different user types, and the accuracy and the flexibility are higher.
S302: and acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters according to the type of the user.
The method can acquire different recommended values of each dimension of monitoring parameters according to different types of users, can meet the use requirements of different types of users, and has higher flexibility.
In an embodiment of the application, obtaining the recommended value of each monitoring parameter in the multidimensional monitoring parameters according to the type of the user may include determining a target model for obtaining the recommended value and first data required by the target model according to the type of the user, and then obtaining the recommended value based on the target model and the first data. Wherein the first data may include historical usage data of the air conditioning device used by the user, current environmental data of the environment in which the user is located, and current time information.
In one embodiment of the application, the air conditioning device has a self-learning mode, and obtaining the recommended value based on the target model and the first data may include inputting the first data to the target model to obtain the recommended value for each dimension of the monitored parameter.
In an embodiment of the application, when the user is identified as the first class user, the first learning model corresponding to the first class user may be obtained as the target model.
Further, when the user is identified as the first-class user, it is indicated that the user is an old user or the user has a large number of times of actively adjusting any one-dimensional monitoring parameter or has a long use time, and at this time, the use habit and demand of the user on the air conditioning equipment can be reflected by the historical use data of the user using the air conditioning equipment, or the adjustment habit and demand of the user on any one-dimensional monitoring parameter can be reflected, so that the recommended value is close to the habit and demand of the user, and the historical use data can be used for acquiring the recommended value of each one-dimensional monitoring parameter. In addition, in order to make the recommended value more consistent with the current environment and time, the current environment data and the current time information of the environment can be used for obtaining the recommended value of each dimension of monitoring parameters.
That is, when the user is identified as the first type of user, the historical usage data of the air conditioning equipment used by the user, the current environment data of the environment where the user is located, and the current time information may be used as the first data, and then the first data may be input to the first learning model to obtain the recommended value of the monitoring parameter for each dimension.
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.
For example, if the user is a first type of user with respect to humidity, humidity information actively set by the user, current outdoor humidity of the environment, indoor humidity, current month, and specific time period may be used as the first data, and then the first data is self-learned by using the first learning model to obtain the recommended value of humidity.
In an embodiment of the present application, when the user is identified as the second type of user, a second learning model corresponding to the second type of user may be obtained as the target model.
Further, when the user is identified as the second type of user, it is indicated that the user is a new user or the number of times of actively adjusting any one-dimensional monitoring parameter by the user is small or the use time is short, at this time, the use habit and the demand of the user on the air conditioning equipment cannot be reflected by the historical data of the user using the air conditioning equipment, or the adjustment habit and the demand of the user on any one-dimensional monitoring parameter cannot be reflected, and the historical use data is not used for obtaining the recommended value of each-dimensional monitoring parameter. In addition, in order to make the recommended value more consistent with the current environment and time, the current environment data and the current time information of the environment can be used for obtaining the recommended value of each dimension of the monitoring parameter.
In an embodiment of the application, when the user is identified as the second type of user, the current environment data and/or the current time information of the environment where the user is located may be used as the first data, then the first data is input to the second learning model to obtain the group attribute of the user, then the group user is obtained according to the group attribute, and the recommendation value corresponding to the group user is obtained as the recommendation value of the user.
The method can comprehensively consider the current environment data of the environment, the current time information and the influence of the group users on the recommended value of the monitoring parameter, so that the recommended value of the monitoring parameter is more in line with the current environment time and the use habits and requirements of the group users, and the comfort level of the users is improved.
Optionally, obtaining the group users according to the group attributes may include pre-establishing a mapping relationship or a mapping table between the group attributes and the group users, and after obtaining the group attributes of the users, querying the mapping relationship or the mapping table, so as to obtain the group users matched with the users. It should be noted that the recommended value corresponding to the group user may be calibrated according to an actual situation, or may be an average value of the recommended values of the actual users who meet the group user. For example, if the user is a second type of user with respect to humidity, the current outdoor humidity, the indoor humidity, the current month and the specific time period of the environment where the user is located may be used as first data, and then the first data is input to the second learning model to obtain the group attribute of the user.
Therefore, the control method of the air conditioning equipment can identify the rationality of the user according to the identity information of the user, so that different recommended values of each dimension of monitoring parameters can be obtained according to different types of the user, the use requirements of different types of users can be met, and the control method has high flexibility.
According to an embodiment of the present invention, as shown in fig. 4, obtaining the correction value of the recommended value according to the adjustment instruction and the first environmental status information may further include:
s401: and acquiring the mapping relation between the adjusting instruction and the first environment state information by using a gradient descent algorithm.
S402: and acquiring second environment state information of the current environment in which the air conditioning equipment is positioned.
S403: and acquiring a correction value of the recommended value through the second environment state information and the mapping relation.
Based on the analysis, the recommended value of the air conditioning equipment, which is adjusted by the user, is generally related to the environmental status, so that the adjustment instruction historical by the user and the first environmental status information can be analyzed by using a gradient descent algorithm to obtain the mapping relationship between the adjustment instruction and the first environmental status information.
It should be understood that the adjustment instruction may include a time when the user inputs the adjustment instruction, an adjustment dimension, and an adjustment amount, in this embodiment, the influence of the first environmental state information on the adjustment amount may be obtained for any one dimension, for example, in a rainy day or a southerly day in the south, the adjustment amount of the humidity by the user is typically-10%, that is, the recommended value of the indoor humidity is reduced to maintain the indoor humidity in a comfortable state, and for example, when the outdoor temperature is reduced due to cold flow or seasonal change, the adjustment amount of the temperature by the user is +3 ℃, so as to reduce the influence of the outdoor low temperature on the indoor temperature by increasing the target indoor temperature.
After the mapping relation between the adjustment instruction and the first environmental state information is obtained, second environmental state information of the environment where the air conditioning equipment is located at the current time is further obtained, so that the correction value which is most suitable for the current environmental state is obtained through back-stepping according to the second environmental state information and the mapping relation.
Therefore, the method and the device can analyze the historical first environment state information and the historical adjustment instruction to obtain the mapping relation between the environment state information and the adjustment instruction, so that the correction value meeting the user preference can be obtained through the mapping relation under any second environment state information.
According to another embodiment of the present invention, as shown in fig. 5, obtaining the correction value of the recommended value according to the adjustment instruction and the first environmental status information may further include:
s501: and acquiring the adjustment quantity of at least one adjustment instruction under different first environment state information.
S502: and sorting the adjustment quantities according to the adjustment frequencies, and taking the adjustment quantity with the highest adjustment frequency as a correction value of the corresponding dimension recommended value.
The adjustment instruction may include time, adjustment dimension, and adjustment amount when the user inputs the adjustment instruction. However, the user usually has a preferred adjustment amount, taking temperature adjustment as an example, when the user inputs an adjustment instruction to adjust the recommended parameter, the user usually adjusts the recommended parameter to the target temperature (the target recommended value) at one time, instead of adjusting the recommended parameter to the target temperature which meets the requirement of the user after waiting for the temperature to be stable at one time and then continuing to adjust the recommended parameter until the recommended parameter is adjusted to the target temperature which meets the requirement of the user, so that the adjustment amount with the highest use frequency can be used as a correction value for correcting the recommended value in the adjustment process.
For example, in a preset time before the current time, the user starts the multidimensional adjustment mode of the air conditioning equipment 5 times, wherein the recommended value of the temperature is modified 5 times, the modification amount is +2 ℃ 4 times, the modification amount is +1 ℃ 1 time, and at this time, through statistical analysis, the current recommended value can be modified by taking +2 ℃ as the modification value.
Further, normally, the air conditioning equipment can obtain a recommended value suitable for the current time of the user and meeting the environmental condition through a self-learning model or the like according to the historical data of the long-term use of the user, but if the recommended value is modified by the user through an adjustment instruction in the near future, it indicates that other influences are caused to the sudden change of the recommended value based on the historical use data by the user, for example, the change of the user due to house lease or the like, the change of the physiological condition of the user due to operation, pregnancy or the like, and the sudden change of the environmental condition due to cold flow or season change in the foregoing examples.
That is, the manual input of the adjustment command by the user may be relatively abrupt, or may be changed by the user or by the environment, and if the recommended value obtained through the historical data is continuously used, the requirement of the user may be far from the requirement of the current user, if a large enough amount of usage data is accumulated to change the recommended value obtained by the self-learning model, a lot of time may be consumed, and even if the user does not complete the change of the recommended value again, or the environment change disappears, and the like, during this period, the user needs to actively adjust each time the air conditioning device is used, which affects the experience of the user.
Based on the analysis, the adjusting instruction and the first environment state information are further screened, specifically, the adjusting instruction and the first environment state information of the preset time before the current moment are collected, namely, the adjusting instruction in the preset time is more sufficiently reflected, and the recommended value is corrected through the correction value in time, so that the target recommended value at the current moment is more consistent with the current requirement of the user, the time of the air conditioning equipment for learning the habit of the user is effectively reduced, and the experience of the user is improved.
Specifically, as shown in fig. 6, obtaining the correction value of the recommended value according to the adjustment command and the first environmental status information may further include:
s601: the preset time is divided into a plurality of preset time periods.
It should be noted that, since the emergency has a sudden and short time, for example, the cold invasion may cause rapid cooling, and the cooling duration may last for about one week, when the recommended value is corrected, the recommended value may only be responded to the adjustment command within a preset time from the current time, that is, the adjustment command before the preset time may be applied to the self-learning model as the historical usage data of the air conditioning equipment.
It should be understood that, if an emergency such as a house rental will continuously affect the environmental change of the air conditioning equipment, the adjustment instruction in the initial stage of the house rental may be only used as a correction response to the adjustment instruction within the preset time, that is, the adjustment instruction in the initial stage of the house rental gradually becomes the historical use data of the air conditioning equipment as time goes on, that is, a new recommended value is formed according to the continuous use of a new tenant.
Further, since the purpose of using the air conditioning device by the user is to make the air condition during work, study, and life of the user continuously meet the demand, for example, the air conditioning device in the working area is usually continuously operated from the time of work to the time of work, the air conditioning device in the living area is usually continuously operated until the user goes to sleep after the user goes home, and the like. Therefore, as a possible embodiment, the preset time may be divided into a plurality of preset time periods in units of days, and of course, the preset time may be divided into a plurality of preset time periods according to specific time periods (morning, afternoon, evening) of each day.
S602: and acquiring the input time of each adjusting instruction input by the user, and determining the preset time period of each input time.
S603: and acquiring a weight value corresponding to each preset time period.
It should be understood that, since the adjustment instruction input by the user closer to the current time can express the recent state of the user (or environment), the weight value may be set according to the distance between the preset time period and the current time, wherein the shorter the time is from the current time, the larger the set weight value is.
For example, the weighting values, e.g., 2, 1.8, 1.5, 1.3, 1, 0.5, 0.1, may be set 7 days before the current time, wherein it is understood that the weighting value at the current time (today) is 2, the weighting value at the previous preset time period (yesterday) is 1.8, the weighting value at the next previous preset time period (previous day) is 1.5, and so on.
S604: the adjustment amount in each adjustment instruction is fetched.
The adjustment amount is a modification amount of the recommended value by the user through the adjustment instruction, taking temperature as an example, if the adjustment instruction input by the user is to adjust the recommended value up by 2 ℃, the adjustment amount is +2 ℃, if the adjustment instruction input by the user is to adjust the recommended value down by 2 ℃, the adjustment amount is-2 ℃, taking humidity as an example, if the adjustment instruction input by the user is to adjust the humidity up by 5%, the adjustment amount is + 5%, and if the adjustment instruction input by the user is to adjust the humidity down by 5%, the adjustment amount is-5%.
S605: and weighting the adjustment quantity according to the weight value to obtain a correction value of the recommended value.
Here, the weighting calculation may be selected according to a preset weighting value, for example, the initial weighting value in the foregoing example is greater than 1, and therefore, the weighting calculation should be a weighted average value, that is, a weighted average value of the weighting and the adjustment amount is used as a correction value, and if the preset weighting values are all less than 1, only the weighting calculation may be performed, that is, a weighted sum of the weighting and the adjustment amount is used as a correction value.
Specifically, the user can use the air conditioning equipment for multiple times within the preset time, when the user uses the air conditioning equipment each time, the input time of the adjustment instruction input by the user and the adjustment amount for any one dimension are recorded and stored, the weight of each preset time period within the preset time before the current time is obtained according to the current time, the weight of any one dimension and the adjustment amount are subjected to weighted calculation, and the correction value of the dimension is obtained.
It should be understood that the preset time is a time length, for example, seven days, and the preset time in the foregoing embodiment is an influence of the user inputting the adjustment command to the air conditioning equipment in the preset time before the current time on the target recommended value at the current time, and accordingly, it also indicates that the adjustment command input to the air conditioning equipment by the user at the current time will also influence the target recommended value in the preset time length in the future.
That is, since the user's one-time adjustment of the air conditioning equipment (modifying the recommended value by the adjustment instruction) is easily determined as error data in the self-learning model, that is, the adjustment of any one-dimensional recommended value in the current air conditioning equipment generally only acts on the current air conditioning, even if the current air conditioning is finished (the air conditioning equipment is closed or the adjustment dimension of the current operation is closed), the adjustment instruction becomes historical usage data, and the recommended value obtained by the self-learning model does not have a significant change, that is, the recommended value for the next use of the air conditioning equipment does not have an influence, and therefore, the present application introduces the modification adjustment, so that the one-time adjustment of the air conditioning equipment by the user can have an influence on the recommended value in the future preset time.
According to another embodiment of the present invention, as shown in fig. 7, obtaining the correction value of the recommended value according to the adjustment command and the first environmental status information may further include:
s701: and acquiring the identity information of the user, and identifying the user as a second type of user according to the identity information.
S702: the group attribute of the user is obtained, and the corresponding group user, the adjusting instruction of the group user and the first environment state information are obtained according to the group attribute.
S703: and acquiring a group correction value of the group user according to the adjusting instruction of the group user and the first environment state information, and taking the group correction value as the correction value of the user.
Based on the method for obtaining the recommended value, the second class of users are usually new users, and historical use data which can be analyzed for the second class of users are too little, so that the group attributes of the users can be obtained by analyzing the identity information of the users, similar group users and historical adjustment instructions and first environment state information of the group users can be obtained through the group attributes, group corrected values of the group users at the current moment are obtained according to the adjustment instructions and the first environment state information of the group users, and the corrected values of the group users are used as corrected values of the current users to obtain target corrected values.
It should be appreciated that in the present example for obtaining correction values, the group attributes of the users typically employ geographic information and/or age information. Specifically, when the user is a second type of user, that is, the user is a new user, at least the new user of a certain functional dimension has regionality regardless of temperature, humidity, or air dimension such as an air quality index, and even if cooling weather such as cold weather occurs, the regional temperature is affected, and the modification of the air conditioning by group users in the region is more adaptive to the air in the current region. Age groups generally share the same characteristics, e.g., the elderly are generally averse to cold and dampness, and therefore, temperature corrections are generally high and humidity corrections are generally low.
For example, after a house is leased and handed over, the air conditioning equipment may obtain a recommended value corresponding to humidity of 25 ℃, a recommended value corresponding to wind speed of 2m/s, a recommended value range corresponding to humidity of (40-70)%, and a recommended value range corresponding to concentration of PM2.5 as a pollutant in air of (0 ℃ @ c)75)μg/m3And according to the fact that within 7 days after the house is handed over, the new user uses the air conditioning equipment to correct the temperature, the humidity, the wind speed and the recommended values of pollutants in the air, the corrected value of the new user on the temperature is +0.5 ℃, the wind speed is not corrected, the humidity is not corrected, and the corrected value of the pollutants in the air is-10 mu g/m3Therefore, when the current time of the new user is obtained, the recommended value corresponding to the temperature is 25. The recommended value corresponding to the wind speed can be 2m/s at the temperature of 5 ℃, the recommended value corresponding to the humidity can be (40-70)%, and the recommended value corresponding to the concentration of PM2.5 pollutants in the air can be (0-65) mu g/m3。
Therefore, the control method of the air conditioning equipment can correct the recommended value at the current moment according to the adjusting instruction of the user in the preset time and the first environment state information to obtain the target correction value, effectively solves the problems that the self-learning model requires long training time and cannot adapt to environment change in a short time, can enable the target recommended value of the air conditioning equipment to meet the use habits and requirements of the user more quickly, is more humanized and improves the comfort level of the user.
In summary, the control method of the air conditioning equipment provided by the application can correct the recommended value at the current moment according to the adjusting instruction of the user and the first environment state information when the user inputs the adjusting instruction and adjust the adjusting component according to the target recommended value, effectively solves the problems that the self-learning model requires a long training time and cannot adapt to the environment change in a short time, can enable the target recommended value of the air conditioning equipment to more quickly meet the use habits and requirements of the user, is more humanized and improves the comfort level of the user.
Fig. 8 is a block schematic diagram of a control device of an air conditioning apparatus according to an embodiment of the present application.
As shown in fig. 8, 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, a correcting module 40 and an adjusting module 50.
Wherein the mode starting module 10 is configured to respond to a first instruction for starting a multi-dimensional adjustment mode of the air conditioning equipment to enter the multi-dimensional adjustment mode; the first obtaining module 20 is configured to obtain a recommended value of each monitoring parameter in the multidimensional monitoring parameters; the second obtaining module 30 is configured to obtain at least one adjustment instruction input by a user for any one-dimensional recommended value, and record first environment state information when each adjustment instruction is input; the correction module 40 is configured to obtain a target recommended value at the current time according to the adjustment instruction and the first environmental state information; the adjusting module 50 is configured to adjust an adjusting component corresponding to at least one-dimensional monitoring parameter in the multidimensional monitoring parameters according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter.
Further, the first obtaining module 12 is specifically configured to obtain identity information of a user, and identify a type of the user according to the identity information; and acquiring a recommended value of each dimension of the multi-dimension monitoring parameters according to the type.
Further, the first obtaining module 12 is further configured to determine, according to the type, a target model for obtaining the recommended value and first data required by the target model, and obtain the recommended value based on the target model and the first data.
Further, the first fetching module 12 is further configured to identify the user as a first class of user; acquiring a first learning model corresponding to the first class of users as the target model; acquiring historical use data of the air conditioning equipment used by the user, current environment data of the environment and current time information as the first data; and inputting the first data into the first learning model to obtain the recommended value.
Further, the first obtaining module 12 is further configured to identify that the user is a second type of user; acquiring a second learning model corresponding to the second class of users as the target model; acquiring current environment data and/or current time information of the environment where the user is located as the first data; inputting the first data to the second learning module to obtain the group attribute of the user; and acquiring group users according to the group attributes, and acquiring the recommendation values corresponding to the group users as the recommendation values of the users.
Further, the correction module 40 is specifically configured to obtain a correction value of the recommended value according to the adjustment instruction and the first environmental status information; and correcting the recommended value of the corresponding dimensionality by using the corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
Further, the modification module 40 is specifically configured to obtain a mapping relationship between the adjustment instruction and the first environmental status information by using a gradient descent algorithm; acquiring second environment state information of the current environment of the air conditioning equipment; and acquiring the correction value of the recommended value according to the second environment state information and the mapping relation.
Further, the modification module 40 is specifically configured to obtain an adjustment amount of at least one of the adjustment instructions under different pieces of the first environmental state information; and sorting the adjustment quantities according to adjustment frequencies, and taking the adjustment quantity with the highest adjustment frequency as the correction value of the corresponding dimension recommendation value.
Further, the modification module 40 is specifically configured to obtain identity information of the user, and identify the user as a second type of user according to the identity information; acquiring group attributes of the users, and acquiring corresponding group users, adjustment instructions of the group users and first environment state information according to the group attributes; and acquiring a group correction value of the group user according to the adjusting instruction of the group user and the first environment state information, and taking the group correction value as the correction value of the user.
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 apparatus 200, as shown in fig. 9, which includes the control device 100 of the above-mentioned air conditioning apparatus.
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. 10, where 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 implicitly indicating 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 specifically limited 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, the various steps or methods may be implemented in software or firmware stored in 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 is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (15)

1. A control method of an air conditioning apparatus, characterized by comprising the steps of:
responding to a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment to enter the multi-dimensional adjusting mode;
acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters;
acquiring at least one adjusting instruction input by a user aiming at any one-dimensional recommended value, and recording first environment state information when each adjusting instruction is input;
acquiring a target recommended value at the current moment according to the adjusting instruction and the first environment state information;
and adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
2. The control method of an air conditioning apparatus according to claim 1, wherein the obtaining of the recommended value of each of the multi-dimensional monitoring parameters further includes:
acquiring identity information of a user, and identifying the type of the user according to the identity information;
and acquiring a recommended value of each dimension of the multi-dimension monitoring parameters according to the type.
3. The control method of an air conditioning apparatus according to claim 2, wherein the obtaining of the recommended value of each of the multi-dimensional monitoring parameters according to the type includes:
and according to the type, determining a target model for obtaining the recommended value and first data required by the target model, and obtaining the recommended value based on the target model and the first data.
4. The control method of an air conditioning apparatus according to claim 3, wherein the determining, according to the type, a target model for obtaining the recommended value and first data required for the target model, and obtaining the recommended value based on the target model and the first data, includes:
identifying the user as a first type of user;
acquiring a first learning model corresponding to the first class of users as the target model;
acquiring historical use data of the air conditioning equipment used by the user, current environment data of the environment and current time information as the first data;
and inputting the first data into the first learning model to obtain the recommended value.
5. The control method of an air conditioning apparatus according to claim 3, wherein the determining, according to the type, a target model for obtaining the recommended value and first data required for the target model, and obtaining the recommended value based on the target model and the first data, includes:
identifying the user as a second class of user;
acquiring a second learning model corresponding to the second class of users as the target model;
acquiring current environment data and/or current time information of the environment where the user is located as the first data;
inputting the first data to the second learning module to obtain the group attribute of the user;
and acquiring group users according to the group attributes, and acquiring the recommendation values corresponding to the group users as the recommendation values of the users.
6. The control method of an air conditioning apparatus according to claim 1, wherein the acquiring a target recommended value at a current time based on the adjustment instruction and the first environmental state information, further comprises:
acquiring a correction value of the recommended value according to the adjusting instruction and the first environment state information;
and correcting the recommended value of the corresponding dimensionality by using the corrected value, and taking the corrected recommended value as the target recommended value at the current moment.
7. The control method of an air conditioning apparatus according to claim 6, wherein the obtaining of the correction value of the recommended value based on the adjustment command and the first environmental state information includes:
acquiring a mapping relation between the adjusting instruction and the first environment state information by using a gradient descent algorithm;
acquiring second environment state information of the current environment of the air conditioning equipment;
and acquiring the correction value of the recommended value according to the second environment state information and the mapping relation.
8. The control method of an air conditioning apparatus according to claim 6, wherein the obtaining of the correction value of the recommended value based on the adjustment command and the first environmental state information includes:
acquiring the adjustment quantity of at least one adjustment instruction under different first environment state information;
and sorting the adjustment quantities according to adjustment frequencies, and taking the adjustment quantity with the highest adjustment frequency as the correction value of the corresponding dimension recommendation value.
9. The control method of an air conditioning apparatus according to claim 6, wherein the obtaining of the correction value of the recommended value based on the adjustment command and the first environmental state information includes:
acquiring identity information of the user, and identifying the user as a second type of user according to the identity information;
acquiring group attributes of the users, and acquiring corresponding group users, adjustment instructions of the group users and first environment state information according to the group attributes;
and acquiring a group correction value of the group user according to the adjusting instruction of the group user and the first environment state information, and taking the group correction value as the correction value of the user.
10. The control method of an air conditioning apparatus according to any one of claims 1 to 9, characterized in that the multidimensional monitoring parameter includes: two or more of humidity, temperature, wind speed, pollutant content in air and air quality index.
11. The control method of an air conditioning apparatus according to any one of claims 1 to 9, characterized in that the conditioning component is integrated with or independent of the air conditioning apparatus.
12. A control device of an air conditioning apparatus, characterized by comprising:
the system comprises a mode starting module, a control module and a control module, wherein the mode starting module is used for responding a first instruction for starting a multi-dimensional adjusting mode of the air conditioning equipment so as to enter the multi-dimensional adjusting mode;
the first acquisition module is used for acquiring a recommended value of each dimension of monitoring parameters in the multi-dimension monitoring parameters;
the second acquisition module is used for acquiring at least one adjusting instruction input by a user aiming at any one-dimensional recommended value and recording first environment state information when each adjusting instruction is input;
the correction module is used for acquiring a target recommendation value at the current moment according to the adjustment instruction and the first environment state information;
and the adjusting module is used for adjusting the adjusting component corresponding to the at least one-dimensional monitoring parameter according to the target recommended value and the monitoring value of the at least one-dimensional monitoring parameter in the multi-dimensional monitoring parameters.
13. An air conditioning apparatus, characterized by comprising: the control device of the air conditioning apparatus according to claim 12.
14. 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 11.
15. 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 11.
CN202010238942.9A 2020-03-30 2020-03-30 Air conditioning equipment, control method and device thereof and electronic equipment Pending CN111442499A (en)

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